Lab Name: To make a layout of an efficient smart manufacturing lab including all necessary equipment

using MS Visio.
Course title: Smart Manufacturing Total Marks: ___________
Practical No. 01 Date of experiment performed: ____________
Course teacher/Lab Instructor: Dr. Muhammad Jawad Date of marking: ____________
Student Name: __________________________
Registration no.__________________________

Marking Evaluation Sheet

Knowledge components Domain Contribution Max. Obtained

Taxonomy level
marks marks

1. Student has conducted the

experiment by practicing the Psychomotor Manipulate (P2) 65% 10
hands on skills.

2. Student aware of safety rules

and used the safety equipment 2
Receiving (A1)
during experiment.

3. Student has contributed or Affective

responded affectively in form of 35% 2
Respond (A2)
group or team.
4. Student has followed all the
timelines provided during the Valuing (A3) 1
lab session

Total 15

Signed by Course teacher/ Lab Instructor

 LAB SESSION 01
OBJECTIVE

To make a layout of an efficient smart manufacturing lab including all necessary equipments using MS Visio.

APPARATUS
• Personal Computer / Laptop

• Software (MS Visio)

THEORY
1) What is Smart Manufacturing?

Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing,

high levels of adaptability and rapid design changes, digital information technology, and more flexible technical
workforce training.

Figure 1 Smart Manufacturing Schematic

Functional Areas of Smart Manufacturing:

Functional Areas of SM are as follows:

1. CIM (Computer Integrated Manufacturing).

2. CAPP (Computer Aided Process Planning).
3. CAM (Computer Aided Manufacturing).
4. CAD (Computer Aided Design).
5. ASRS (Automated Storage and Retrieval System).
6. Cyber Security.

1. Computer Integrated Manufacturing (CIM):

CIM integrates manufacturing activities through computer systems, enhancing coordination and operational
efficiency. By automating processes, CIM reduces human intervention, minimizes errors, and optimizes
resource utilization. This approach fosters a seamless workflow, from design to production, resulting in cost
savings and improved product quality.

Figure 2 Computer Integrated Manufacturing.

2. Computer-Aided Process Planning (CAPP):
CAPP leverages software for efficient manufacturing process planning, ensuring cost-effectiveness and
maintaining high-quality standards. Through automated decision-making, CAPP optimizes the allocation of
resources, minimizes production time, and adapts to changing requirements. This enhances the adaptability of
manufacturing processes to dynamic market demands.

Figure 3 Computer-Aided Process Planning

3. Computer-Aided Design (CAD):

CAD empowers innovation and precision in product development by facilitating the creation and modification
of digital designs. Through realistic simulations and virtual prototyping, CAD allows for thorough testing and
refinement before physical production. This accelerates the design cycle, reduces development costs, and
improves the overall design quality.

Figure 4 CAD

4. Computer-Aided Manufacturing (CAM):

CAM utilizes computer systems to control manufacturing processes, enhancing speed and accuracy. By
converting digital designs into tangible products, CAM ensures consistency in production and reduces the
likelihood of errors. This integration of design and manufacturing optimizes efficiency and enables the
production of complex and customized components.
 Figure 5 CAM

5. Automated Storage and Retrieval Systems (ASRS):

ASRS systems efficiently handle and store materials, contributing to streamlined logistics and improved
production flow. Through automation, ASRS minimizes manual handling, reduces errors, and enhances
inventory accuracy. This leads to cost savings, faster order fulfillment, and an overall improvement in
warehouse and production efficiency.

Figure 6 Automated Storage and Retrieval Systems.

6. Cyber-Security:
It is a critical discipline focused on protecting computer systems, networks, and data from unauthorized access,
cyberattacks, and damage. In an era dominated by digital technologies, the importance of robust cybersecurity
measures cannot be overstated. These measures encompass a wide range of strategies, including firewalls,
encryption, and intrusion detection systems, to safeguard sensitive information and ensure the integrity of digital
infrastructure. Cybersecurity is not only about preventing unauthorized access; it also involves proactive
measures to detect and respond to potential threats promptly. As the digital landscape evolves, so do cyber
threats, making continuous innovation and adaptation crucial in the field of cybersecurity. Organizations,
governments, and individuals alike must invest in cybersecurity to mitigate risks, protect privacy, and maintain
the trustworthiness of digital ecosystems.
 Figure 7 Cyber Security

Pillars of Smart Manufacturing:

1. Digital manufacturing
2. Additive manufacturing
3. Advance robotics
4. Sustainable manufacturing
5. Augmented reality
6. Advanced simulation
7. Cloud computing
8. Big data
9. System Integration
10. Industry 4.0
11. Internet of things
12. Cyber physical system

Components of CIM

1. Manufacturing
2. Process Planning
3. Product Design
4. Systems Management
Industry 4.0:
Industry 4.0 refers to the fourth industrial revolution characterized by the integration of advanced technologies
like IoT, AI, and data analytics into manufacturing processes, fostering automation, connectivity, and smart
decision-making. The goal is to digitize and interconnect various elements of the production process, enabling
real-time data exchange, and the optimization of manufacturing processes.

Figure 8 Industry 4.0

Internet of Things (IoT):

IoT refers to the network of interconnected devices embedded with sensors, software, and connectivity, enabling
them to collect and exchange data. In the context of Industry 4.0, IoT plays an important role by connecting
machines, sensors, and systems within a manufacturing environment. This connectivity facilitates real-time
monitoring, predictive maintenance, and data-driven insights, contributing to increased efficiency and reduced
downtime.
 Figure 9 Internet of things

Big Data:
Big Data involves the processing and analysis of large volumes of data that exceed the capabilities of
traditional databases. In Industry 4.0, the vast amount of data generated by IoT devices, sensors, and
production processes is utilized for meaningful insights. Big Data analytics in manufacturing allows for
predictive maintenance, quality optimization, and strategic decision-making, ultimately improving overall
operational efficiency.

Figure 10 Big Data

Cloud Computing:
Cloud computing provides on-demand access to a shared pool of computing resources, such as storage,
processing power, and applications, over the internet. In Industry 4.0, cloud computing serves as the backbone
for storing and processing the massive amounts of data generated by smart manufacturing systems. It offers
scalability, flexibility, and accessibility, allowing manufacturers to leverage powerful computing resources
without the need for significant upfront investments in infrastructure. Cloud platforms facilitate collaboration,
data sharing, and remote access to manufacturing information, contributing to a more agile and responsive
production environment.

Figure 11 Cloud Computing

Procedure

Creating a layout for a smart manufacturing lab in MS Visio involves several steps to ensure accuracy and
efficiency, which are as follows:

1. Identify the equipment, workstations, and areas needed in the smart manufacturing lab.

2. Consider safety standards, accessibility, and workflow requirements.

3. Open Microsoft Visio on your computer.

4. Choose a template that suits your needs. For a smart manufacturing lab, you may use the "Building
Plan" or "Floor Plan" template.

5. Use the drawing tools to outline the walls of the lab space.

6. Add dimensions to ensure accurate scaling. Go to the "View" tab and select "Size & Position" to input
precise measurements.

7. Drag and drop basic shapes to represent workstations, machinery, and storage areas.

8. Use appropriate symbols for each element, ensuring clarity in your layout.

9. Access the "Shapes" pane on the left side to search for specific equipment shapes relevant to smart
manufacturing.

10. Drag and drop these shapes onto your layout where needed.

11. Use connector lines to illustrate the workflow and connectivity between different workstations and
machines.

12. Ensure logical and efficient connections for the manufacturing processes.

13. Add text boxes to label each area, workstation, and piece of equipment.

14. Provide the necessary annotations to explain specific functionalities or requirements.

15. Include symbols for safety features such as emergency exits, fire extinguishers, and first aid stations.
 16. Use color to distinguish different areas or functionalities.

17. Apply a consistent and visually appealing design to enhance clarity.

18. Make adjustments as necessary based on feedback or changes in lab specifications.

19. Save your Visio file regularly to avoid losing progress.

20. Once the layout is finalized, you can print it directly from Visio or export it in a preferred format for
further sharing or documentation.

Student lab report will consist of following:

• Objective
• Apparatus/ materials
• Procedure
• Layout
• Conclusion
OBJECTIVE

APPARATUS

PROCEDURE
LAYOUT
CONCLUSION