Mba-Mba-Batch No-21
Mba-Mba-Batch No-21
by
ANSELA A.
Register No.41410022
SATHYABAMA
INSTITUTE OF SCIENCE AND TECHNOLOGY
(DEEMED TO BE UNIVERSITY)
Accredited with Grade “A” by NAAC I 12B Status by UGC I Approved by AICTE
JEPPIAAR NAGAR, RAJIV GANDHI SALAI, CHENNAI - 600 119
APRIL 2023
SCHOOL OF MANAGEMENT STUDIES
BONAFIDE CERTIFICATE
This is to certify that this Project Report is the bonafide work of ANSELA A
41410022 who carried out the project entitled “A Study on material handling and
storage packaging at Good Trans Logistics” under my supervision from January
2023 to March 2023.
05/05/2023
Submitted for Viva voce Examination held on
I ANSELA A (41410022) hereby declare that the Project Report entitled “A study on
material handling and storage packaging at Good Trans Logistics” done by me
under the guidance of DR. R. BLESSIE PATHMU is submitted in partial fulfillment of the
requirements for the award of Master of BusinessAdministration degree.
DATE: 05/05/2023
PLACE: Chennai
ANSELA A
ACKNOWLEDGEMENT
I would like to express my sincere and deep sense of gratitude to my Project Guide
Dr. R. BLESSIE PATHMU for her valuable guidance, suggestions and constant
encouragement paved way for the successful completion of my project work.
I wish to express my thanks to all Teaching and Non-teaching staff members of the
School of Management Studies who were helpful in many ways for the completion
of the project.
ANSELA A
TABLE OF CONTENTS
CHAPTER
TITLE PAGE NO.
NO.
ABSTRACT (i)
LIST OF TABLES (ii)
LIST OF CHARTS (iv)
INTRODUCTION
1.1 Introduction 1
1.2 Industry Profile 21
1 1.3 Company Profile 23
1.2 Objectives of the Study 29
1.3 Need for the study 30
1.4 Scope & Significance of the study 30
REVIEW OF LITERATURE
2
2.1 Review of Literature 31
RESEARCH METHODOLOGY
3.1. Methodology 42
3.2. Research Design 42
3.3. Research Technique 42
3 3.4. Sources of Data 42
3.5. Structure of Questionnaire 43
3.6. Sample Size 43
3.7. Period Of Study 43
3.8. Location & Targeted people of study 43
3.9. Tools for Analysis 43
DATA ANALYSIS AND INTERPRETATION
4.1. Percentage Analysis 44
4 4.2. Frequency Table 56
4.2. Correlation Analysis 64
4.3.Anova 65
FINDINGS, SUGGESTIONS AND CONCLUSION
5.1. Findings of the Study 66
5.2. Suggestions & Recommendations 67
5
5.3. Limitations of the study 68
5.4. Conclusion 68
REFERENCES 70
ANNEXURE I – QUESTIONNAIRE 74
ANNEXURE II – RESEARCH ARTICLE 77
ABSTRACT
This project aims to investigate the material handling and storage packaging practices at
Good Trans Logistics. The primary objective is to gain insights into the current processes
and identify areas for improvement. Secondary objectives include understanding customer
preferences for packaging, discovering desirable qualities of Good Trans Logistics, and
exploring their use of technology. By examining these factors, the project aims to
recommend suitable measures to enhance material handling and storage packaging,
which will improve customer satisfaction. The findings of this study will benefit logistics
companies by providing valuable insights into best practices for material handling and
storage packaging, ultimately resulting in increased efficiency, reduced costs, and higher
customer satisfaction.
i
LIST OF TABLES
ii
4.2.3. Casters and wheels 58
4.2.4. Conveyors 59
4.2.6. Automation 61
4.3. CORRELATION
4.4. ANOVA
iii
LIST OF CHARTS
iv
CHAPTER 1 - INTRODUCTION
1.1 OVERVIEW
Logistics is a part of supply chain management that deals with the efficient forward
and reverse flow of goods, services, and related information from the point of
origin to the point of consumption according to the needs of customers. Logistics
management is a component that holds the supply chain together. The resources
managed in logistics may include tangible goods such as materials, equipment,
and supplies, as well as food and other consumable items.
Military logistics, it is concerned with maintaining army supply lines with food,
armaments, ammunition, and spare parts apart from the transportation of troops
themselves. Meanwhile, civil logistics deals with the acquisition, movement, and
storage of raw materials, semi-finished goods, and finished goods. For
organizations that provide services such as garbage collection, mail utilities, and
after-sales services, logistical problems also need to be addressed.
Logistics deals with the movement of materials or products from one facility to
another, it does not deal with the material flow within the production or assembly
plants. Logistics occupies a significant amount of the operational cost of an
organization or country.
1
TYPES OF LOGISTICS
There are several types of logistics, each with its focus and set of activities. Some
of the most common types of logistics include,
2
involve a range of activities, including customs clearance, compliance with
international regulations, and transportation across multiple modes.
COMPONENTS OF LOGISTICS
3
include activities such as loading and unloading, picking a packing, and
palletizing.
PRINCIPLES OF LOGISTICS
5
MATERIAL HANDLING
• Forecasting
• Resource allocation
• Production planning
• Flow and process management
• Customer delivery
• After-sales support and service
A company’s material handling system and process are put in place to improve
customer service, reduce inventory, shorten delivery time, and lower overall
handling costs in manufacturing, distribution, and transportation.
6
TYPES OF MATERIAL HANDLING
Material handling is a complex process that can involve both human and machine-
led processes.
To optimize the material handling during the whole process, we can leverage the
following strategies to improve material handling.
Once we understood how the current material handling process works, we can
make the necessary adjustments and changes based on its weaknesses. For
example, if we discovered there’s a lot of downtime happening, we can make
plans to minimize these incidences.
We can achieve this by doing regular checkups and maintenance of all equipment
involved. Machines such as carousels, conveyors, palletizers, case erectors,
tapers, and stretch wrappers. Ensure that all the equipment is inspected,
maintenance logs are well-stored, and any problem is corrected immediately.
Plan regular maintenance of all equipment in the distribution centers, monitor the
motor temperature, and lubricate your equipment. Ensure that you have spare
parts such as belts, rollers, motors, and bearings. Such measures will always
keep your orders moving.
Storage and flow analysis also plays a vital role in determining the size of storage
facilities. In large organizations, storage and flow analysis may involve the use of
simulation models to determine optimum solutions to problems in storage, material
flow, and transport and inspection processes. It involves the modeling and
analyzing of the entire life cycle costing of any process and evaluating the impact
on the total cost of the process.
Good design ensures efficient storage and the flow of material toward production
is critical. The material in high use should be placed in areas that provide the
shortest distance to the point of use.
In essence, storage design and material flow work as a unit, so you can’t plan for
one in the exclusion of the other. To have the correct balance of quality, cost,
safety, and delivery without having to compromise on any of them, efficient tools
are needed for evaluating the space and offering data-driven solutions that work.
9
USAGE OF MATERIAL HANDLING EQUIPMENT
• Aerospace
• Appliance
• Automotive
• Beverage
10
• Chemical
• Construction
• Consumer goods
• E-Commerce
• Food
• Hardware
• Hospital
• Manufacturing
• Materials processing
• Pharmaceutical
• Plastic
• Retail
• Warehousing and distribution
11
• STANDARDIZATION: All material handling methods, equipment, controls,
and software should be standardized and able to perform a range of tasks
in a variety of operating conditions.
• UNIT LOAD: Because less effort and work is required to move several
individual items together as a single load, unit loads such as pallets,
containers, or totes of items should be used.
12
• LIFE CYCLE COST: For all equipment specified for the system, an analysis
of life cycle costs should be conducted. Areas of consideration should
include capital investment, installation, setup, programming, training,
system testing, operation, maintenance and repair, reuse value, and
ultimate disposal.
STORAGE PACKAGING
In logistics, storage packaging plays a crucial role in the proper handling and
transportation of goods. Storage packaging refers to the process of preparing
products for storage, shipment, and eventual delivery to the end customer. This
involves selecting the appropriate packaging materials and methods to ensure that
the goods are protected and secure during transit.
The packaging process involves several steps, including selecting the appropriate
packaging material, preparing the item for packaging, and labeling the package
with relevant information such as the destination address, product details, and
handling instructions. In addition to this, the package must also be designed in a
way that makes it easy to handle and transport, ensuring that it can be loaded and
unloaded safely without causing damage to the goods.
Effective storage packaging in logistics can help to reduce the risk of product
damage or loss, lower transportation costs, and increase efficiency in the supply
chain. It also helps to ensure that products are delivered in good condition to the
13
end customer, enhancing customer satisfaction and loyalty.
The role of storage packaging in logistics is crucial for ensuring that products are
protected and transported efficiently. Here are some of the key roles that storage
packaging plays in logistics:
There are several types of packaging used in logistics, each with its unique
features and benefits. Here are some common types of packaging used in
logistics:
15
the product and stimulates the desire to purchase the product to promote
sales.
16
sustainability into packaging can help to reduce waste, lower costs, and
improve customer satisfaction. This can include using eco-friendly
materials, reducing packaging size, and implementing recycling programs.
Storage packaging equipment is used to package goods for storage and shipment
in a warehouse or distribution center. The usage of storage packaging equipment
can help to improve efficiency, reduce costs, and increase safety. Here are some
common types of storage packaging equipment and their uses:
• CARTON SEALERS: Carton sealers are used to seal cardboard boxes for
shipping. They can be semi-automated or automated and can seal a variety
of box sizes.
• LABEL PRINTERS: Label printers are used to print labels for shipping and
storage purposes. They can print a variety of label sizes and types and can
be integrated with other equipment to streamline the packaging process.
The usage of storage packaging equipment can help to improve the efficiency of
the packaging process by reducing manual labor, increasing accuracy, and
improving product protection. By using the right storage packaging equipment for
the specific needs of a warehouse, logistics companies can improve their
operations and achieve better results.
18
PRINCIPLES OF STORAGE PACKAGING
The principles of storage packaging in logistics are the basic guidelines that
logistics companies follow to ensure that products are packaged and stored
correctly. Here are some key principles of storage packaging in logistics:
• VISIBILITY: The packaging should allow for easy identification and tracking
of the product during transport and storage. Labels and other identification
methods should be used to ensure that the product is easily identifiable.
19
• REGULATORY COMPLIANCE: The packaging should comply with all
relevant regulations and standards. For example, dangerous goods should
be packaged in compliance with regulations governing the transport of
hazardous materials.
By following these principles, logistics companies can ensure that products are
packaged and stored correctly, which can help to reduce costs, improve efficiency,
and ensure that products arrive at their destination in good condition.
20
1.2. INDUSTRY PROFILE
The logistics industry is a vital sector of the global economy that plays a critical
role in the movement of goods and products from one location to another. It
encompasses a wide range of services, including transportation, warehousing,
inventory management, and freight forwarding.
One of the key functions of the logistics industry is transportation. Goods and
products need to be moved from factories, warehouses, or ports to their intended
destinations, which can be either domestic or international. Different modes of
transportation are used to move goods, including road, rail, sea, and air.
Inventory management is crucial for ensuring that goods are available when they
are needed. This involves keeping track of inventory levels, forecasting demand,
and replenishing stock as needed. Advanced inventory management systems can
help automate these processes and improve efficiency.
The logistics industry is highly competitive, with many companies operating in the
sector, ranging from small local firms to large multinational corporations. Many
logistics companies offer end-to-end supply chain solutions that integrate multiple
services to provide a seamless experience for their customers.
21
technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and
blockchain, are helping logistics companies improve efficiency, reduce costs, and
enhance the customer experience. For example, IoT sensors can be used to track
shipments in real-time, while AI can be used to optimize transportation routes and
improve warehouse operations.
The logistics industry is a critical part of the global economy, facilitating trade and
commerce between businesses and consumers around the world. It encompasses
a wide range of services, including transportation, warehousing, inventory
management, and freight forwarding. With the increasing globalization of trade and
the rapid growth of e-commerce, the logistics industry is expected to continue to
grow in the years ahead.
22
1.3. COMPANY PROFILE
ABOUT GTL
They have wise experience in this service industry, a good reputation, and long
relations with the staff and officials of the custom, warehouses, and excise
departments and various other government agencies which helps the clients to
expedite their work, avoid procedural delay disputes and litigation regarding
compliance of custom clearance and other legal requirements. Their hard work
and good nature have put the organization on a path of progress and prosperity.
They are ever ready to attend their clients and solve to their problems. These
qualities made them popular amongst the clients. Such satisfied clients bring
more and more business to the organizations. Apart from having three
strategically located offices and warehouses in Chennai, they also have branches
23
in and around.
They have grown in the esteem of many major liner companies, who have offered
a service cum rate contract to us, which having been accepted, they hold an edge
in the forwarding market as regards pricing and connectivity. They can offer very
good rates when compared to the rest of the market because of their contracts
and more importantly their human rapport with everyone they came across.
SERVICES
AIR FREIGHT
Shipping the freight by air with Good Trans Logistics will keep goods moving at
optimal speed and efficiency along the supply chain.
24
They have contracts with the world’s major international carriers that secure space
on thousands of flights each month and they offer chartered flights internationally,
as well for your larger consignments.
They provide real-time, global tracking as part of our standard capabilities. Their
global, door-to-door services include customs clearance and forwarding to interior
points, as well as coordinating with our ocean operations for forwarding cargo in
the most cost-efficient manner. Select GTL and you will get fast efficient
international airfreight delivery worldwide.
Service Include:
SEA FREIGHT
25
service every time from experienced ocean professionals.
Service Include:
LANDSIDE SERVICES
Good Trans Logistics offers a unique and seamlessly integrated solution that
enhances and simplifies landside activities in close coordination with your ocean
or air transport.
26
DANGEROUS GOODS
27
duty to monitor the minutest detail connected to Customs Documents and
Examination of the cargo both, at the Docks and in the Air Cargo Complex.
28
TRANSPORTATION
They have our arrangements for the transportation of Export consignments from
the client’s location and from the warehouses, both to the Docks area and the
Airport. Good Trans Logistics has gained confidence over the years, to handle and
transport packages of all sizes and dimensions about Export and Import
consignments. Local and practical expertise are the elements that are foremost at
all stages of transportation, thereby eliminating risks, costly errors, and most
importantly, delays. Special equipment is also arranged by us for handling heavy
cargo, both for Exports and Imports by Sea and by Air.
PRIMARY OBJECTIVES
• To study the material handling and storage packaging at Good Trans
Logistics.
29
SECONDARY OBJECTIVES
• To understand the most preferred packages by the customers.
• To discover the most desirable qualities of Good Trans Logistics.
• To understand the technologies of Good Trans Logistics.
• To provide suitable measure to improve the material handling and storage
packaging which satisfy the customer.
30
CHAPTER – 2 REVIEW OF LITERATURE
INTRODUCTION
• Zhang Y., Liu j., & Li W. (2023) In this study, the authors propose a new
approach to optimize the material handling path in the warehouse using the
improved cuckoo search algorithm. The compare their approach with other
optimization algorithms and demonstrate its effectiveness in reducing the
total travel distance and time.
• Liu H., Wang J., & Yan Y. (2023) The authors proposed an improved bat
algorithm to optimize storage location allocation in the warehouse. They
compare their algorithm with other optimization algorithms and demonstrate
its effectiveness in minimizing the total cost of the warehouse storage
systems.
• Wang J., Yan Y., & Liu H. (2023) In this study, the authors propose a new
method for optimizing material handling in logistics using the improved
particle swarm optimization algorithm. They evaluate the effectiveness of
their method in minimizing the total cost of the material handling systems
31
and compare it with other optimization methods.
• Li W., Chen Z., & Li Y. (2023) The author proposes an improved ant colony
algorithm to optimize the material handling path in the warehouse. They
demonstrate the effectiveness of their approach in reducing the total travel
distance and time of material handling in the warehouse.
• Zhang Y., Liu J., & Li W. (2023) In this study, the authors propose an
improved genetic algorithm to optimize the storage location allocation in the
warehouse. They demonstrate the effectiveness of their approach in
minimizing the total cost of the warehouse storage system and compare it
with other optimization algorithms.
• Liu Y., Liu H., & Chen Z. (2023) The authors propose a new approach to
optimize material handling in logistics using the improved particle swarm
optimization algorithm. They evaluate the effectiveness of their approach in
reducing the total cost of material handling in logistics and compare it with
other optimization methods.
• Chen Z., Li W., & Li Y. (2022) In this study, the authors propose an
improved ant colony algorithm to optimize the material handling path in the
warehouse. They evaluate the effectiveness of their approach in reducing
the total travel distance and time of material handling in the warehouse and
compare it with other optimization algorithms.
• Li J., Li W., & Li Y. (2022) This study proposes an improved bat algorithm
to optimize the material handling path in the warehouse. The authors
compare their approach with other optimization algorithms and demonstrate
its effectiveness in reducing the total travel distance and time of material
handling.
• Xu Z., Liu Y., & Huang Z. (2022) An improved artificial bee colony
algorithm for material handling path optimization in warehouse. This study
proposes an improved artificial bee colony algorithm to optimize the
32
material handling path in the warehouse. The authors demonstrate the
effectiveness of their approach in reducing the total travel distance and time
of material handling.
• Kim J., & Choi H. (2022) A novel material handling system for efficient e-
commerce order fulfillment. The system uses a conveyor belt and a sorting
machine to reduce labor costs and improve order accuracy.
• Lin Y., & wang W. (2022) The design of a collaborative material handling
system for intelligent logistics in smart factories. The study proposes a
collaborative material handling system for intelligent logistics in smart
factories. The system uses Internet of things (IOT) technology and cloud
computing to optimize material handling processes and improve supply
chain management.
• Huang M., Li Y., & Wang X. (2022) A hybrid optimization algorithm for
storage location allocation in a cold chain logistics center. The study
proposes a hybrid optimization algorithm for storage location allocation in a
cold chain logistics center. The algorithm combines a genetic algorithm and
a tabu search algorithm to find the optimal solution.
• Kim & Choi (2022) The system used a conveyor belt and s sorting machine
to re3duce labor costs and improve order accuracy. The authors also
proposed a dynamic scheduling algorithm that considers the order
processing time and the capacity of the material handling system to
optimize the order fulfillment process.
33
• Wang & et al (2022) The researcher evaluated the impact of packaging on
the sustainability of logistics operations in the food industry. The authors
conducted an LCA of different packaging materials and found that the use
of biodegradable and compostable materials can reduce the environmental
impact of logistics operations, while maintaining the product safety and
quality.
• Lin & Wang (2022) The proposed a collaborative material handling system
for intelligent logistics in smart factories. The system utilized Internet of
Things (IOT) technology and cloud computing to optimize material handling
processes and improve supply chain management. The proposed system,
uses sensors to monitor the movement of materials and optimize the route
of material handling equipment in real-time.
• Cho & et al (2022) The study examined the impact of packaging material
selection on the sustainability of logistics operations. The authors
conducted a life cycle assessment (LCA) of different packaging materials
and found that the use of recyclable and bio-based materials can reduce
the environmental impact of logistics operations.
• Zhao Y., Wu J., & Zhang X. (2021) An intelligent material handling system
for e-commerce order fulfillment. This study proposes an intelligent material
handling system that integrates warehouse management and order
fulfillment processes for e-commerce. They system uses RFID technology
and an optimization algorithm to improve order accuracy and efficiency.
• Kim D., Kim J., & Kim T. (2021) A study on the effect of material handling
34
automation on logistics performance. This study investigated the effect of
material handling automation on logistics performance in different
industries. The authors use regression analysis to find that material
handling automation positively affects logistics performance.
• Li H., Li Q., & Li W. (2021) This study proposes an improved ant colony
algorithm to optimize the material handling system in the warehouse. The
authors compare their approach with other optimization algorithms and
demonstrate its effectiveness in reducing the total travel distance and time
of material handling.
• Gong X., Li Y., & Wang X., (2021) A multi-objective optimization model for
storage location allocation in a cross-docking center. This study proposes a
multi-objective optimization model for storage location allocation in a cross-
docking center. The model considers both cost and environmental factors
and uses a genetic algorithm to find the optimal solution.
• Liu Y., Liu H., & Chen Z. (2021) This study proposes an improved genetic
algorithm to optimize the material handling system in logistics. The authors
demonstrate the effectiveness of their approach in minimizing the total cost
of material handling in logistics and compare it with other optimization
methods.
• Shi Q., Zhang X., & Wu Y. (2021) An RFID-based intelligent container for
material handling in warehouse. This study proposes an RFID-based
intelligent container for material handling in the warehouse. The container
uses RFID technology to track the location of goods and optimize material
handling processes.
• Yang Y., Chen Y., & Xu B. (2021) This study proposes an improved ant
colony algorithm to optimize material storage and transportation in the
logistics park. The authors demonstrate the effectiveness of their approach
in reducing the total cost of material handling and transportation.
35
• Wang X., Li Y., & Gong X. (2021) A novel hybrid optimization algorithm for
storage location allocation in the cross-docking center. This study proposes
a novel hybrid optimization algorithm for storage location allocation in the
cross-docking center. The algorithm combines a genetic algorithm and a
simulated annealing algorithm to find the optimal solution.
• Li H., Liu Y., & Li Q. (2021) This study proposes a self-adaptive particle
swarm optimization algorithm to optimize the material handling path in the
warehouse. The author demonstrates the effectiveness of their approach in
reducing the total travel distance and time of material handling.
• Zhang Y., Guo X., & Liu Y. (2021) The multi-objective optimization of
material handling system in the warehouse based on an improved NSGA-II
algorithm. The algorithm considers multiple objectives and constrains and
demonstrate its effectiveness in improving warehouse efficiency and
reducing cost.
• Wu J., Zhao Y., & Zhang X. (2021) A deep learning-based framework for
material handling system optimization e-commerce warehouse. This study
proposes a deep learning-based framework to optimize the material
handling system in the e-commerce warehouse. The framework uses a
deep neural network to learn the complex relationships between input
parameters and output variables and demonstrates its effectiveness in
improving warehouse efficiency and reducing costs.
• Wu & et al. (2021) The system integrates machine learning and image
recognition technology to automated material handling processes and
optimize warehouse operations. The authors also proposed a scheduling
algorithm to allocate material handling tasks to different equipment based
on their capacity and availability.
• Li & et al. (2021) The proposed method uses a genetic algorithm and fuzzy
36
logic system to optimize the route of material handling equipment and
minimizing the total travel distance. The study demonstrates the
effectiveness of the proposed method in reducing the total travel distance
and improving warehouse efficiency.
• Korkmaz & Others (2021) The author evaluated the impact of packaging
material selection on the product safety and environmental impact in
logistics operations. The authors conducted a case study of a Turkish e-
commerce company and found that proper material selection, including
consideration of the product type and transportation conditions, can ensure
the product safety and reduce the environmental impact of logistics
operations.
37
• Srinivasan S., Ravi S., & Balaji R. (2021) This study provides a review of
material handling systems in supply chain management, including the
importance of optimizing material handling systems for efficient supply
chain operations. The authors also discuss the role of emerging
technologies, such as blockchain and artificial intelligence, in improving
material handling systems in supply chain management. The study is
relevant to the topic of material handling and storage packaging in logistics,
as it highlights the importance of material handling systems in improving
supply chain efficiency.
• Koc & Bayhan (2021) The author studied the impact of packaging design
on the customer experience and perceived value in the e-commerce
industry. The authors conducted a survey of online shoppers and found that
the packaging design, including the color, texture, and shape, can affect the
perceived value of the products and enhance the overall customer
experience.
• Li & et al. (2021) The author proposed a new method for optimizing
material handling paths in warehouse management to minimize the total
travel distance and time of material handling equipment. The study
demonstrated the effectiveness of the proposed method in reducing the
total travel distance and improving warehouse efficiency.
• Van der Valk L., Van der Meer R. B., & Post J. G. (2021) This study
provides an exploratory study of logistics packaging innovation. The authors
discuss the drivers of logistics packaging innovation, such as customer
demands and sustainability concerns, and highlight the challenges and
opportunities of logistics packaging innovation. The study is relevant to the
topic of material handling and storage packaging in logistics, as it
emphasizes the importance of logistics packaging innovation in improving
logistics operations.
38
on the customer experience in the online grocery industry. The authors
conducted a survey of online grocery shoppers and found that packaging
design and functionality can affect the perceived quality of the products and
the overall customer satisfaction.
• Chen & et al. (2021) The author proposed a new material handling system
for warehouse automation. The system uses a combination of AGVs and a
centralized control system to automate material handling processes and
improve warehouse efficiency. The author also proposed a scheduling
algorithm to optimize the allocation of material handling tasks to different
equipment based on their availability and workload.
• Jia and others (2021) This study focused on the optimization of packaging
size and weight to improve the logistics efficiency and sustainability. The
authors conducted a case study of a Chinese logistics company and found
that optimizing packaging size and weight can reduce the transportation
costs and environmental impact, while improving the delivery time and
customer satisfaction.
• Jung, H., & Kim, K. (2020) This study analyzes the effects of smart
packaging technology on supply chain management. The authors discuss
various types of smart packaging technology, such as RFID and QR codes,
and highlight the benefits of these technologies, such as improved supply
chain visibility and efficiency. The study is relevant to the topic of material
handling and storage packaging in logistics, as it provides insights into the
potential benefits of smart packaging technology in improving logistics
operations.
• Singh A., & Sharma S. (2020) This study provides a literature review of
material handling cost reduction in supply chain management. The authors
discuss various techniques for reducing material handling costs, such as
automation, lean manufacturing, and optimization algorithms. The study is
relevant to the topic of material handling and storage packaging in logistics,
as it highlights the importance of reducing material handling costs in
39
logistics operations.
• Yang & Others (2020) The author focused on the impact of packaging
design and material selection on the customer experience and
environmental impact in the e-commerce industry. The authors conducted a
survey of online shoppers and found that the packaging design and material
selection can affect the customer experience and the environmental impact
of logistics operations, with sustainable packaging practices being preferred
by the customers.
• Pervan I., & Pavlic D. (2020) This study focuses on the role of smart
packaging in driving supply chain sustainability. The authors discuss
various types of smart packaging, such as active and intelligent packaging,
and highlight the potential benefits of these packaging technologies,
including reduced waste and improved supply chain visibility. The study is
relevant to the topic of material handling and storage packaging in logistics,
as it emphasizes the importance of sustainable packaging in improving
logistics operations.
• Ananda & Nagesh (2020) The study focused on the impact of packaging
design on logistics operations in the e-commerce industry. The authors
conducted a case study of an Indian e-commerce company and found that
a well-designed packaging system can improve the operational efficiency
and customer experience, while reducing the environmental impact.
• Chiu Y. T., Chen M. H., & Chen M. C. (2020) This study provides a review
of the influence of packaging design on logistics performance. The authors
discuss various factors that influence the design of packaging, such as
product protection, ease of handling, and sustainability. The study also
highlights the impact of packaging design on logistics performance,
including the reduction of transportation costs and the improvement of
inventory management. The study is relevant to the topic of material
handling and storage packaging in logistics, as it emphasizes the
importance of packaging design in improving logistics performance.
40
• Li & Others (2020) The researcher investigated the impact of packaging
design on the consumer behavior and purchase intention in the e-
commerce industry. The authors conducted a survey of online shoppers
and found that packaging design, including the aesthetics, functionality, and
branding, can affect the consumer behavior and increase the purchase
intention.
• Shen & Others (2020) The study focused on the optimization of packaging
design and material selection for the food industry. The authors conducted
a case study of a Chinese food company and found that optimizing
packaging design and material selection can improve the product safety
and quality, reduce the transportation costs, and enhance the brand image.
INTRODUCTION
Convenience Sampling
Data collection is the term used to describe the process of preparing and collecting
data.
42
The questionnaire was divided into two parts. The first part was designed to know
the general information about GTL customers and the second part contains
respondents’ opinions about GTL.
• Demographic Questions
• Likert Scaling Questions
The researcher circulated the questionnaire among 270 customers and got 130
responses.
The study was done in Chennai district with the customers who prefer GTL as their
priority.
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CHAPTER 4 – DATA ANALYSIS AND INTERPRETATIONS
INTERPRETATIONS:
From the above table, it is interpreted that the number of male respondents is
67.7%, and the number of female respondents is 32.3%.
44
Table 4.1.2. Indicating the age of the respondents
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents between the
age of 21-30 is 26.2%, the number of respondents between 31-40 is 36.9%, the
number of respondents between 41-50 is 30%, and the number of respondents
between 51-60 is 6.9%.
45
Table 4.1.3. Indicating the satisfactory level of the customer in material handling in
GTL
Chart 4.1.3. Indicating the satisfactory level of the customer in material handling in
GTL
INTERPRETATIONS:
From the above table it is interpreted that the number of respondents who strongly
disagree (0%), the number of respondents who disagree with the statement is (0%),
the number of respondents who stays neutral about the statement is (2.3%), the
number of respondents who agree for the statement is (52.3%), and the number of
the respondents who strongly agree for the statement is (45.4%).
46
Table 4.1.4. Indicating the satisfactory level of the customer in the packaging in GTL
Chart 4.1.4. Indicating the satisfactory level of the customer in the packaging in GTL
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral for the statement is 3.1%, the number of respondents who agree for the
statement is 44.6%, and the number of respondents who strongly agree for the
statement is 52.3%.
47
Table 4.1.5. Indicating the satisfactory level of the customer in the individual
packaging of goods
Chart 4.1.5. Indicating the satisfactory level of the customer in the individual
packaging of goods
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral for the statement is (3.8%), the number of respondents who agree with the
statement is (50%), and the number of respondents who strongly agree with the
statement is (46.2%).
48
Table 4.1.6. Indicating the satisfactory level of the customer in the inner packaging of
goods
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral for the statement is (6.2%), the number of respondents who agree with the
statement is (45.4%), and the number of respondents who strongly agree with the
statement is (48.5%).
49
Table: 4.1.7. Indicating the satisfactory level of the customer in the outer packaging of
goods
Chart 4.1.7. Indicating the satisfactory level of the customer in the outer packaging of
goods
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who disagree
with the statement is (0.8%), the number of respondents who stay neutral about the
statement is (4.6%), the number of respondents who agrees with the statement is
(53.8%), and the number of respondents who strongly agree with the statement is
(40.8%).
50
Table: 4.1.8. Indication of the customer having good experience in GTL
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stay
neutral on the statement is (1.5%), the number of respondents who agree with the
statement is (46.2%), and the number of respondents who strongly agree with the
statement is (52.3%).
51
Table: 4.1.9. Indication of customers having strong customer service in GTL
INTERPRETATIONS:
From the above table, the number of respondents who strongly disagree with the
statement is (0%), the number of respondents who disagree for the statement is (0%),
the number of respondents who stays neural with the statement is (1.5%), the number
of respondents who agree with the statement is (42.3%), and the number of
respondents who strongly agree with the statement is (56.2%).
52
Table: 4.1.10. Indication of customers who have been experiencing many
services in GTL
Chart 4.1.10. Indication of customer who have been experiencing many services in
GTL
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who strongly
disagree with the statement is (0%), the number of respondents who disagree with
the statement is (0%), the number of respondents who stay neutral with the statement
is (6.2%), the number of respondents who agree with the statement is (45.5%), and
the number of respondents who strongly agree for the statement is (48.5%).
53
Table: 4.1.11. Indication of customers who experienced proper timing in GTL
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who strongly
disagree with the statement is (0%), the number of respondents who disagree with
the statement is (0%), the number of respondents who stays neutral with the
statement is (3.1%), the number of respondents who agree with the statement is
(37.7%), and the number of respondents who strongly agree with the statement is
(59.2%).
54
Table: 4.1.12. Indication of customer who uses tracking system
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who strongly
disagree with the statement is (0%), the number of respondents who disagree with
the statement is (0%), the number of respondents who stays neutral with the
statement is (1.5%), the number of respondents who agree with the statement is
(39.2%), and the number of respondents who strongly agree with the statement is
(59.2%).
55
4.2 FREQUENCY TABLE
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 5 3.8 3.8 3.8
4 52 40.0 40.0 43.8
5 73 56.2 56.2 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral with the statement is (3.8%), the number of respondents who agrees with the
statement is (40%), the number of respondents who strongly agree with the statement
is (56.2%).
56
TABLE: 4.2.2. AUTOMATED GUIDED VEHICLES
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 7 5.4 5.4 5.4
4 74 56.9 56.9 62.3
5 49 37.7 37.7 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral with the statement is (5.4%), the number of respondents who agree with the
statement is (56.9), and the number of respondents who strongly agree with the
statement is (37.7%).
57
TABLE: 4.2.3. CASTERS AND WHEELS
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 10 7.7 7.7 7.7
4 69 53.1 53.1 60.8
5 51 39.2 39.2 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
The number of respondents who stay neutral with the statement is (7.7%), the
number of respondents who agree with the statement is (53.1%), the number of
respondents who strongly agree with the statement is (39.2%).
58
TABLE: 4.2.4. CONVEYORS
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 1 .8 .8 .8
4 64 49.2 49.2 50.0
5 65 50.0 50.0 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
The number of respondents who stay neutral with the statement is (0.8%), the
number of respondents who agree with the statement is (49.2%), the number of
respondents who strongly agree with the statement is (50.0%).
59
TABLE: 4.2.5. DOCK EQUIPMENT
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 1 .8 .8 .8
4 51 39.2 39.2 40.0
5 78 60.0 60.0 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents who stays
neutral with the statement is (0.8%), the number of respondents who agree with the
statement is (39.2%), and the number of respondents who strongly agree with the
statement is (60%).
60
TABLE: 4.2.6. AUTOMATION
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 5 3.8 3.8 3.8
4 52 40.0 40.0 43.8
5 73 56.2 56.2 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
From the above table, the number of respondents who stay neutral with the statement
is (3.8%), the number of respondents who agree with the statement is (40.0%), and
the number of respondents who strongly agree with the statement is (56.2%).
61
TABLE: 4.2.7. RIGHT SIZING OF CARTONS
Cumulative
Frequency Percent Valid Percent Percent
Valid 3 7 5.4 5.4 5.4
4 57 43.8 43.8 49.2
5 66 50.8 50.8 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
The number of respondents who stay neutral with the statement is (5.4%), the
number of respondents who agree with the statement is (43.8%), and the number of
respondents who strongly agree with the statement is (50.8%).
62
TABLE: 4.2.8. PROPER PACKAGING STATION
Cumulative
Frequency Percent Valid Percent Percent
Valid 2 1 .8 .8 .8
3 4 3.1 3.1 3.8
4 62 47.7 47.7 51.5
5 63 48.5 48.5 100.0
Total 130 100.0 100.0
INTERPRETATIONS:
The number of respondents who disagree with the statement is (0.8%), the number of
respondents who stay neutral with the statement is (3.1%), the number of
respondents who agree with the statement is (47.7%), and the number of
respondents who strongly agree with the statement is (48.5%).
63
4.3. CORRELATION ANALYSIS
HYPOTHESIS
Material
handling in
GTL is
AGE satisfactory
AGE Pearson Correlation 1 .017
Sig. (2-tailed) .845
N 130 130
Material handling in GTL Pearson Correlation .017 1
is satisfactory
Sig. (2-tailed) .845
N 130 130
INTERPRETATIONS:
The p-vale (0.845) is greater than the alpha-vale (0.005). Hence null hypothesis is
accepted. Therefore, there is no relationship between age and material handling.
64
4.4. ANOVA
HYPOTHESIS
INTERPRETATIONS:
The p-value is (0.429) which is greater than the alpha value (0.005). Hence null
hypothesis is accepted. Therefore, there is no significant difference between
gender and technology.
65
CHAPTER 5 – FINDINGS, SUGGESTIONS AND CONCLUTIONS
66
the measure to improve material handling.
• Majoritarian (60%) of the respondents strongly agree with dock
equipment as the measure to improve material handling.
• Common (56.2%) of the respondents strongly agree with automation as
the measure to improve packaging.
• Popular (50.8%) of the respondents strongly agree with the Rightsizing
cartoons as the measure to improve packaging.
• Standard (48.5%) of the respondents strongly agree with proper
packaging stations as the measure to improve packaging.
• As per correlation null hypothesis is accepted “There is no relationship
between age and material handling.”
• As per Anova null hypothesis is accepted “There is no relationship
between gender and technology.”
• The overall experience from the index to the study reveals that the
maximum customers enjoy the services provided by GTL.
• Many respondents strongly agree that the inner packaging is good, it is
worth exploring ways to improve it further. This can be achieved by
investing in better materials that offer more protection to the products during
transportation and storage.
• Respondents strongly agree that GTL is time-oriented, it may be worthwhile
to prioritize time efficiency in all aspects of the logistics process. This can
include investing in technologies that can speed up the handling and
packaging of goods, as well as optimizing transportation routes to reduce
delivery times.
• From the analysis the GTL company is likely to have a good reputation
among the customers.
• Respondents choose dock equipment as the best measure to improve
material handling, a suggestion for Good Trans Logistics would be to invest
in high-quality dock equipment. Some examples of dock equipment that
67
can improve material handling include loading dock levelers, dock lifts, dock
seals and shelters, yard ramps, and dock bumpers.
• Overall, these suggestions can help improve the material handling and
storage packaging at GTL and satisfy customers.
5.4. CONCLUSION
The study on material handling and storage packaging in logistics has provided
valuable insights into the current practices and areas for improvement at Good
Trans Logistics. The study found that the company's material handling and storage
packaging practices are generally satisfactory, but there are some areas for
improvement to meet customer preferences and enhance overall efficiency. By
understanding the most preferred packages by customers, discovering the most
desirable qualities of Good Trans Logistics, and exploring the use of technology,
the project identified several recommendations to improve material handling and
storage packaging that will ultimately lead to higher customer satisfaction.
Based on the findings of the study, it can be concluded that Good Trans Logistics
has satisfactory material handling and storage packaging practices that are up to
customer standards. Many respondents agreed that the individual packaging,
inner packaging, and outer packaging provided by GTL are good and among
them, outer packaging has been rated high. Additionally, many respondents
strongly agreed that GTL has good experience, strong customer service, and is
time-oriented.
68
Regarding measures to improve material handling, the respondents strongly
agreed that automated storage, automated guided vehicles, conveyors, and dock
equipment are effective measures and among them dock equipment has been
rated high. In terms of packaging, the respondents strongly agreed that
automation, rightsizing cartons, and proper packaging stations are effective
measures to improve packaging and among them, proper packaging stations rated
high.
Furthermore, the study found that there is no significant relationship between age
and material handling, as well as between gender and technology.
Overall, the study provides valuable insights into the current practices and areas
for improvement in material handling and storage packaging at Good Trans
Logistics. The recommended measures identified in the study can help GTL
improve its efficiency, reduce costs, and ultimately increase customer satisfaction.
By continuously evaluating and improving their practices, logistics companies like
GTL can remain competitive in today's globalized world.
69
REFERENCE
• Zhang Y., Liu j., & Li W. (2023) - Optimizing Material Handling Path in
Warehouse using Improved Cuckoo Search Algorithm
• Liu H., Wang J., & Yan Y. (2023) - Improved Bat Algorithm for Storage
Location Allocation Optimization in Warehouse
• Wang J., Yan Y., & Liu H. (2023) - Material Handling Optimization in
Logistics using Improved Particle Swarm Optimization Algorithm
• Li W., Chen Z., & Li Y. (2023) - Improved Ant Colony Algorithm for Material
Handling Path Optimization in Warehouse
• Zhang Y., Liu J., & Li W. (2023) - Improved Genetic Algorithm for Storage
Location Allocation Optimization in Warehouse
• Liu Y., Liu H., & Chen Z. (2023) - Optimizing Material Handling in Logistics
using Improved Particle Swarm Optimization Algorithm
• Chen Z., Li W., & Li Y. (2022) - Improved Ant Colony Algorithm for Material
Handling Path Optimization in Warehouse
• Li J., Li W., & Li Y. (2022) - Improved Bat Algorithm for Material Handling
Path Optimization in Warehouse
• Xu Z., Liu Y., & Huang Z. (2022) - Improved Artificial Bee Colony Algorithm
for Material Handling Path Optimization in Warehouse
• Kim J., & Choi H. (2022) - Novel Material Handling System for Efficient E-
commerce Order Fulfillment
• Lin Y., & Wang W. (2022) - Collaborative Material Handling System for
Intelligent Logistics in Smart Factories
• Huang M., Li Y., & Wang X. (2022) - Hybrid Optimization Algorithm for
Storage Location Allocation in Cold Chain Logistics Center
• Xu & et al. (2022) - Optimizing Material Handling Path considering Layout
and Material Characteristics using Proposed Algorithm
• Kim & Choi (2022) - Dynamic Scheduling Algorithm for Order Fulfillment in
Material Handling System using Conveyor Belt and Sorting Machine
• Wang & et al (2022) - Evaluating Sustainability of Logistics Operations in
Food Industry by Analyzing Packaging Materials using LCA
• Lin & Wang (2022) - Collaborative Material Handling System for Intelligent
70
Logistics in Smart Factories
• Huang et al. (2022) - Autonomous Mobile Robots and Centralized Control
System for Improved Order Picking Efficiency
• Cho & et al. (2022) - Impact of Packaging Material Selection on
Sustainability of Logistics Operations
• Zhao Y., Wu J., & Zhang X. (2021) - Intelligent Material Handling System for
E-commerce Order Fulfillment
• Kim D., Kim J., & Kim T. (2021) - Effect of Material Handling Automation on
Logistics Performance
• Li H., Li Q., & Li W. (2021) - Improved Ant Colony Algorithm for Material
Handling System Optimization in Warehouses
• Gong X., Li Y., & Wang X. (2021) - Multi-Objective Optimization Model for
Storage Location Allocation in Cross-Docking Center
• Liu Y., Liu H., & Chen Z. (2021) - Improved Genetic Algorithm for Material
Handling System Optimization in Logistics
• Shi Q., Zhang X., & Wu Y. (2021) - RFID-Based Intelligent Container for
Material Handling in Warehouses
• Yang Y., Chen Y., & Xu B. (2021) - Improved Ant Colony Algorithm for
Material Storage and Transportation Optimization in Logistics Parks
• Wang X., Li Y., & Gong X. (2021) - Hybrid Optimization Algorithm for
Storage Location Allocation in Cross-Docking Center
• Li H., Liu Y., & Li Q. (2021) - Self-Adaptive Particle Swarm Optimization
Algorithm for Material Handling Path Optimization in Warehouses
• Zhang Y., Guo X., & Liu Y. (2021) - Multi-Objective Optimization of Material
Handling System in Warehouses using Improved NSGA-II Algorithm
• Wu J., Zhao Y., & Zhang X. (2021) - Deep Learning-Based Framework for
Material Handling System Optimization in E-commerce Warehouses
• Wu & et al. (2021) - Machine Learning and Image Recognition-Based
Automated Material Handling System with Scheduling Algorithm
• Li & et al. (2021) - Genetic Algorithm and Fuzzy Logic System-Based
Optimization of Material Handling Equipment Routes in Warehouses
• Korkmaz & Others (2021): Impact of Packaging Material Selection on
Product Safety and Environmental Impact in Logistics Operations
71
• He et al. (2021): RFID and Wireless Sensor Networks for Material Handling
Process Automation and Dynamic Scheduling in Warehouses
• Zhang et al. (2021): Combining Traditional Material Handling Equipment
and Autonomous Mobile Robots for Warehouse Efficiency and Labor Cost
Reduction
• López-Lambas M. E., González-García V., & García-Sánchez A. (2021):
Challenges and Trends in Packaging Logistics for Material Handling and
Storage Operations
• Srinivasan S., Ravi S., & Balaji R. (2021): Material Handling Systems in
Supply Chain Management for Improved Efficiency and the Role of
Emerging Technologies
• Koc & Bayhan (2021): Impact of Packaging Design on Customer
Experience and Perceived Value in E-commerce
• Li & et al. (2021): Optimizing Material Handling Paths in Warehouse
Management for Distance and Time Reduction
• Van der Valk L., Van der Meer R. B., & Post J. G. (2021): Logistics
Packaging Innovation: Drivers, Challenges, and Opportunities for Improved
Logistics Operations
• Du & Others (2021): Impact of Packaging on Customer Experience in
Online Grocery Industry
• Chen & et al. (2021): Material Handling System for Warehouse Automation
with AGVs and Centralized Control System
• Jia and others (2021): Optimization of Packaging Size and Weight for
Logistics Efficiency and Sustainability in Chinese Logistics Industry
• Jung, H., & Kim, K. (2020): Effects of Smart Packaging Technology on
Supply Chain Management for Improved Visibility and Efficiency
• Singh A., & Sharma S. (2020): Techniques for Material Handling Cost
Reduction in Supply Chain Management.
• Yang & Others (2020): Impact of Packaging Design and Material Selection
on Customer Experience and Environmental Impact in E-commerce
• Pervan I., & Pavlic D. (2020): Role of Smart Packaging in Driving Supply
Chain Sustainability
• Ananda & Nagesh (2020): Impact of Packaging Design on Logistics
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Operations in E-commerce Industry
• Chiu Y. T., Chen M. H., & Chen M. C. (2020): Influence of Packaging
Design on Logistics Performance
• Li & Others (2020): Impact of Packaging Design on Consumer Behavior and
Purchase Intention in E-commerce
• Abdel-Malek L., & El-Amine M. (2020): Role of Packaging in Logistics
Sustainability
• Shen & Others (2020): Optimization of Packaging Design and Material
Selection for Food Industry
• Vazquez-Bustelo D., & Seseña-López J. M. (2020): Recent Advances in
Automated Material Handling Systems
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ANNEXURE I – QUESTIONNAIRE
1. Name
2. Gender
• Male
• Female
3. Age
• 21-30
• 31-40
• 41-50
• 51-60
4. Material handling in GTL is satisfactory
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
5. Packaging in GTL is up to the standards
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
6. Individual packaging is good
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
7. Inner packaging is good
74
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
8. Outer packaging is decent
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
9. GTL have good experience
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
10. GTL have strong customer service
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
11. GTL offer many services
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
12. GTL is time oriented
• Strongly Disagree
• Disagree
75
• Neutral
• Agree
• Strongly Agree
13. Tracking system is useful
• Strongly Disagree
• Disagree
• Neutral
• Agree
• Strongly Agree
14. Measures to improve material handling
• Automated Storage
• Automated Guided Vehicles
• Casters and Wheels
• Conveyors
• Dock Equipment
15. Measures to improve storage packaging
• Proper Packaging Station
• Right Sizing of Cartons
• Automation
76
ANNEXTURE II – RESEARCH ARTICLE
ABSTRACT
The researcher investigates the material handling and storage packaging at Good Trans Logistics. The
primary objective is to know about the material handling and storage packaging process and to identify areas
of improvement. The secondary objective is to study the types of packaging, most desirable qualities, and
technologies and to find the best measure to improve these. By examining these factors, the study aims to
recommend a suitable measure for material handling and storage packaging that satisfies the customer. The
findings of the study will help the GTL to improve the practices of material handling and storage packaging.
INTRODUCTION
Material handling and storage packaging are very much important in logistics. Material handling involves
the movement, storage, and protection throughout the processing starting from the manufacturing,
warehousing, consumption, and distribution. Effective material handling will improve productivity, reduce
cost, minimize waste, maximize customer satisfaction, etc. Storage packaging refers to the type of packaging
we use to protect, organize, and store goods during transportation and warehousing. Proper packaging will
prevent the material from damage, spoilage, and contamination and helps in loading, unloading, and
inventory management. In conclusion, both material handling and storage packaging are the key elements of
logistics that help the company to grow more.
REVIEW OF LITERATIURE
Hans-Henrik Hvolby, Fabio Sgarbassa, and Jan ola Strandhagen (2023) The researcher uses multiple case
studies to map sterile instrument logistics and evaluate the transportation performance of material handling
systems in terms of flexibility, productivity, quality, and costs.
Brajesh Kumar Panda, Shubham Subrot Anigrahi, et al. (2023) This study focuses on the mechanism of end
effector robots in the food handling process. The food industry has been evolving continuously in
implementing robots due to the varied characteristic of different food materials. Efforts have been proposed
to design soft robots for flexible adaptation in material handling during various food processing operations.
These operations are carried out by the robot's end effectors.
Taniya Mukherjee, Isha Sangal, et al. (02 Dec 2022) This study aims to optimize the material handling cost
within a cross-dock when goods are unloaded and transferred from the dock area to the storage area. The
result explains that a variation in the number of inbound trucks, product quality, and pallet handling prices
influence the net material handling cost. It also verifies that applying direct transfer of product through
cross-docking is economical as fewer products in storage reduce the handling cost.
Li & et al. (2021) The author proposed a new method for optimizing material handling paths in warehouse
management to minimize the total travel distance and time of material handling equipment. The study
demonstrates the effectiveness of the method to reduce travel distance and improve warehouse efficiency.
Pervan I., & Pavlic D. (2020) The study focuses on the role of smart packaging in driving supply chain
sustainability. The author discusses various types of smart packaging, such as active and intelligent
packaging, including reduced waste and improved supply chain visibility.
77
OBJECTIVE OF THE STUDY
Primary Objective
• To study the material handling and storage packaging at Good Trans Logistics.
Secondary Objective
• To keep away the unnecessary and deficient level of inventories in the organization.
• To increase the service to the customer through short, convenient, and conveyance.
• To give the arrangement to the organizations like what to arrange, when to arrange and the amount
to be arranged.
• To find the most desirable qualities.
• To acknowledge the most preferred packages.
DATA ANALYSIS
• PERCENTAGE ANALYSIS
Indicating the age of the respondents
INTERPRETATIONS:
From the above table, it is interpreted that the number of respondents between the age of 21-30 is 26.2%, the
number of respondents between 31-40 is 36.9%, the number of respondents between 41-50 is 30%, and
number of respondents between 51-60 is 6.9%.
78
INFERENCE:
• CORRELATION ANALYSIS
Correlation analysis in research is a statistical method used to measure the strength of the linear relationship
between two variables and compute their association.
HYPOTHESIS
Material
handling
inGTL is
AGE satisfactory
AGE Pearson Correlation 1 .017
Sig. (2-tailed) .845
N 130 130
Material handling in GTL Pearson Correlation .017 1
is satisfactory Sig. (2-tailed) .845
N 130 130
INTERPRETATIONS:
The p-vale (0.845) is greater than the alpha vale (0.005). Hence null hypothesis is accepted. Therefore, there
is no relationship between age and material handling.
INFERENCE:
• ANOVA
Anova is a statistical formula used to compare variances across the means of different groups.
HYPOTHESIS
79
INTERPRETATIONS:
The p-value is (0.429) which is greater than the alpha value (0.005). Hence null hypothesis is accepted.
Therefore, there is no significant difference between gender and technology.
INFERENCE:
SUGGESTIONS
The overall experience from the index to the study reveals that GTL has good experience and strong
customer service. According to the respondents, GTL can improve their company by focusing a little more
on packaging, features, technologies, etc. Dock equipment and automation are the best measures to improve
material handling and storage packaging.
CONCLUSION
The study found that the material handling and storage packaging which the company is following are
satisfactory, but there are some areas to be improved. By understanding the most preferred packages,
qualities, and technologies' the researcher identified many suggestions to improve material handling and
storage packaging that will lead to higher customer satisfaction. Furthermore, the researcher found that there
is no relationship between age and material handling and there is no relationship between gender and
technology. The suggested measure identified by the researcher in this study will help GTL to improve its
efficiency, reduce cost, and improve customer satisfaction.
REFERENCE
• Autonomous mobile robots in sterile instrument logistics: an evaluation of the material handling
system for a strategic fit.
• Robotics for general material handling machines in food plants.
• The effect of material handling automation on logistics performance.
• A multi-objective optimization model for storage location-allocation in a cross-docking center.
• Improved genetic algorithm for material handling system optimization in logistics.
80