1    CHAPTER 1
INTRODUCTION
1.1   Background of Postal Service Industry
      The postal service subsector includes the activities of the National Post Office
      and its subcontractors operating under a universal obligation to provide mail
      services, and using the infrastructure required to fulfill that obligation. These
      services include delivering letters and small parcels. These articles can be
      described as those that can be handled by one person without using special
      equipment. This allows the collection, pick up, and delivery operations to be
      done with limited labor costs and minimal equipment. Sorting and transportation
      activities, where necessary, are generally mechanized. The restriction to small
      parcels distinguishes these establishments from those in the transportation
      industries. These establishments may also provide express delivery services
      using the infrastructure established for provision of basic mail services.
      The mail or post is a system for physically transporting documents and other
      small packages,     as   well     as       a   term   for   the   postcards, letters,
      and parcels themselves. A postal service can be private or public, though many
      governments place restrictions on private systems. Proof of payment is often in
      the form of adhesive postage stamps, but postage meters are also used for bulk
      mailing. Modern private postal systems are typically distinguished from national
      postal agencies by the names "courier" or "delivery service".
      Postal authorities often have functions other than transporting letters. In some
      countries, a postal, telegraph and telephone (PTT) service oversees the postal
      system, as well as hasa authority over telephone and telegraph systems. Some
      countries' postal systems allow for savings accounts and handle applications
      for passports. The Universal Postal Union (UPU), established in 1874, includes
      192 member countries and sets the rules for international mail exchanges.
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1.2   Background of Post Office Organization
      Pos Malaysia Berhad is Malaysias premier postal service provider. They have a
      widespread network of over 1,000 touch points countrywide that includes Pos
      Malaysia Outlets, Pos Minis, Pos24 (Self Service Terminals), Post-On-Wheels
      (Mobile Outlets), postal agents and stamp agents, making it one of the most
      extensive retail network in Malaysia.The organization was restructured in 1992
      from being a governmental owned Malaysian Postal Services Department into a
      business corporation and be one of the Government Link Company (GLC).The
      history of Pos Malaysia Berhad can be traced back to the early 1800s with the
      establishment of postal services first in the Straits Settlements (Penang, Malacca,
      and Singapore) and gradually, it covered the entire Malaya by early 20th
      century.Letters   were    delivered       through   dispatch   riders   or   special
      messengers then. Instead of postage stamps, fees were collected when letters
      were handed in at the Pos office and letters posted were given a receipt.
      Over the years, the evolution of technology saw the emergence of digital
      media/internet and changing customer behavior. Despite the personal touch and
      sentimental value attached to traditional mails, this market is shrinking, replaced
      by the more popular social media and SMS.Pos Malaysia Berhad is also going
      through the same evolution. No longer are we the traditional postal corner, as we
      embark into the 21st century, we have and are evolving to meet the demands and
      needs of our customers' changing behaviors and market place. Together with the
      role of the national postal provider, Pos Malaysia Berhad has morphed into a
      conglomerate, offering supply chain solutions and financial services, competing
      directly and indirectly with many companies in both domestic and international
      areas.
      The vision of Pos Malaysia Berhad is to be trusted in the delivery of integrated
      physical and digital solutions, resonates with their aspiration to stay relevant in
      fluid market while reflecting their agenda. Their mission statement is to deliver
      excellent customer experience customer experience and convenience in the areas
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      of communications, logistics, financial services and supply chain solutions at the
      highest level of reliability and integrity.
1.3   Background of Post Office Department
      Pos Malaysia Berhad is Malaysias premier postal service provider. It is located
      at POS Malaysia Headquarters, Dayabumi Complex, Kuala Lumpur. Pos
      Malaysia provides multi-services such as postal and related services, transport
      logistics, counter collection, and payment agency services for a range of financial
      transactions.. The company holds an exclusive concession to provide mail
      services through its network of over 850 branches and mini post in Malaysia.
      Throughout the years, Pos Malaysia has grown from strength to strength and is
      progressing from being a mail and postal services provider towards becoming a
      dynamic communications, financial services and supply chain solutions provider.
      Moving forward, Pos Malaysia will continue to transform and innovate itself in
      order to maintain its relevance and competitive edge as well as continue to
      connect Malaysians with the rest of the world.
      Board of Directors of Pos Malaysia are Non-Independent Non-Executive
      Chairman is Tan Sri Dato Sri Haji Mohd Khamil bin Jamil, Senior Independent
      Non-Executive Directors is Dato Ibrahim Mahaluddin bin Puteh. Independent
      Non-Executive Director are Dato Sri Che Kahtib bin Mohamad Noh, Abdul
      Hamid bin Sh Mohamed and Datuk Puteh Rukiah binti Abd. Majid. Non-
      Independent Non-Executive Director are Datuk Mohamed Razeek bin Md
      Hussain Maricar and Eshah binti Meor Suleiman. Pos Malaysia employs more
      than 16000 people over 1000 physical outlets nationwide comprising more than
      700 Post Offices more than 300 Pos Mini.
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The vision of Pos Malaysia Berhad is to be the trusted leader in the delivery of
integrated physical and digital solutions, resonates with their aspiration to stay
relevant in fluid market while reflecting digital agenda. Correspondingly, their
mission statement is to deliver excellent customer experience and convenience in
the areas of communications, logistics, and financial services and supply chain
solutions at the highest level of reliability and integrity. The form of Pos
Malaysia Berhad is establishment of postal services first in the Straits
Settlements in which it would cover the whole Malaya by early 20th century
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                                 2    CHAPTER 2
                         RESEARCH METHODOLOGY
2.1   Introduction
      A post office is a customer service facility forming part of a national postal
      system and the most popular of postal service in the world. Post offices
      offer mail-related services such as acceptance of letters and parcels; provision
      of post office boxes; and sale of postage stamps, packaging, and stationery. Post
      Office needs to continue providing efficient services to remain a key player in a
      highly competitive industry. This project had used simulation models to assist in
      evaluating operations within postal service system. A simulation model was built
      that used customer in order to take number, queuing methods for waiting time
      service provided, choose counter available and receiving their service.
2.2   Problem Description
      In order to get the service, customer has to take number and wait for their service
      in one of the three servers that available at Post Office, Arau. At some point,
      customer has to wait in a long queue to get the service. Longer queue show that
      the system is less efficient. It also may lead to customer dissatisfaction.
2.3   Objective
      The objective of this study is to determine the efficiency of queuing system at
      Post Office in Arau by examining waiting time for service provided.
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2.4       Scope of Study
          Data has been collected on Wednesday, 20th April 2016 at Post Office, Arau.
          Data was collected through observations of 3 hours during peak hours (9.00a.m
          to 5.00 pm). This research only collected during 2.00 pm until 5.00 pm on that
          day.
2.5 Analysis
          Simulation Process
                                                     Define Problem
                                              Introduce important variables
                                                Construct simulation model
                                             Specify values of variables to be
                                                             tested
                                                  Conduct the simulation
                                                     Examine the result
                                                Select best course of action
            Figure 2.1 : Simulation process of the post office service counter at post office Malaysia Arau
         Define problem- customer has to wait in a long queue to get the service. Longer
          queue show that the system is less efficient. It also may lead to customer
          dissatisfaction.
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      Introduce important variables- Divide into two variable, input and output
       variables.
      Construct simulation model- Draw a flowchart of the operation in Post Office
       organization.
      Specify values of variables to be- From the primary data that has been collected,
       the data such as arrival time, start service, types of counter, service time and end
       service was used to create a simulation model.
      Conduct the simulation- This study used Arena software to run the simulation
       model.
      Examine the result- From the Arena Software output, the information such as
       average waiting time, average service time and other information about time
       interval when simulation model was used.
      Select best course of action- From the analysis, this study will suggest the best
       model to improve efficiency of the organization.
Variables
Input variables:
               Inter- arrival time of customer- Time between two successive customer
                arrivals
               Number of counter- Bills and others and parcel delivery
               Service Time- Time taken when customer received their services
Output variable:
               Staff Utilization
               Number Customer get serve
               Average waiting time (min)
               Average queue waiting time (min)
               Average customer take queue number
               Average customer take queue number(min)
               Average Customer Total Time
               Average customer waiting time for the service
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                                               Simulation Start
                                               Customer Arrive
                                                Customers take
                                                queue number
                                              Customer waiting
                                                  for service
                                               Whichcounter?
           Counter 1(Bills and                                                   Counter 2 (parcels
                 others)                                                              delivery)
              Service start                                                         Service start
               Service end                                                          service end
                                               Simulation End
                 Figure 1.2: Flowchart of the post office service counter at post office Arau.
Steps involved in the process of acquiring service:
   1. Customer arrives at post office Arau.
   2. Customer takes queue numbers.
   3. Customer waits in the waiting area to get served.
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      4. Customer go to the counter that be called either counter 1 or counter 2.
      5. Customer gets served once service is finished and leaves the server.The above
         cycle continues for next customer in the queue at any server.
Simulation
         In this research input analyzer in ARENA had been used. The data collected has
         been analyzed to obtain the best fit distribution for each working hour shift.
         Three different simulations have been run 2 hours each for 3 shifts, which
         accounts for 6 hours of operation in a day. The ARENA model was depicted
         below.
                                    Figure 2.3: ARENA Model
2.6      Summary
         Simulation model of the queuing system in post office Arau had been set up. All
         the important variables had been defined and identified. The simulation was run
         by using computer software, ARENA. Results of the simulation will be discussed
         in details in chapter 3.
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                                    3      CHAPTER 3
                              RESULT AND DISCUSSION
3.1    Introduction
       Based on chapter 2, simulation process occurs by using the input data that have
       been obtained by collecting the inter-arrival waiting time, customer taking
       number, waiting time for service and waiting time for receiving the service. The
       data have been collected for each time of taking sample during peak hours on
       2.00p.m until 5.00 p.m. This chapter will discuss how the simulation process by
       using ARENA software can determine the efficiency of queuing system at Post
       Office in Arau by examining waiting time for service provided.
3.2    Findings
       All the results shows in this section have been obtained by using ARENA
       software. Each input data of waiting time been fixed to extract the expression
       values that have been used to as the input values. The expression values for each
       time of taking sample for every shift have been recorded in Table 3.1.
                   Table 3.1: Expression values for each time of taking sample
             Expression (minutes)                                    2 pm -5 pm
                 Arrival Time                               -0.5 + GAMM(1.07, 1.68)
        Customer Take Queue Number                                 EXPO(0.25)
       Service Time for Bills and Others         0.5 + GAMM(1.34, 1.78)
      Service Time for Parcel and Delivery       0.5 + GAMM(2.23, 1.21)
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The expression values in Table 3.1 have been used to simulate the process for
Customer Arrival, customer take queue number, service time for bills and others
and parcel and delivery . By generating the simulation process, the results of
waiting time have been obtained. These results are shown in Table 3.2.
           Table 3.2: Results of waiting time by using simulation process
                                  Counter Bills and       Counter Parcel AND
         Result Output
                                        Others                   delivery
        Staff Utilization                 99%                      44%
     Number Customer get                   21                        7
             serve
     Average waiting time               6.9649                    .46806
             (min)
     Average queue waiting              8.1004                    1.2711
          time (min)
     Average customer take              .19711                    .19711
        queue number
     Average customer take              .24548                    .24548
      queue number(min)
     Average Customer Total                           9.0469
              Time
    Average customer waiting                          4.8007
       time for the service
In Table 3.2, the evening sample taking time in post office Arauwhich is between
2pm until 5pm.However, the server utilization for counter bills and others sample
taking time shows the highest percentage. It shows that counter bills and others
have done their job in fully conditions, the total waiting time of customer still
longer compared to the other counter. It is because counter bills and other have
various service rather than counter parcel delivery which is parcel delivery
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      counter only have one service. Based on data collected on Wednesday, 20April
      2016, the number of customer is the highest at 2pm until 5 pm since it is a peak
      hour. At the same time, parcel delivery counter shows the waiting time for that
      counter is shorter than other counter since the service time not takes too long.
      The customers need to wait about most likely 4 minutesbeforestart their
      service.Due to those problem, it can be said the existing system is still not
      efficient for counter bills and other since it take too long wait time and service
      time of customer.
3.2 Recommendations
      Based on the findings of the study, the following is a list of recommendations
      deemed favorable based on the outcome of this study.
        i.    Firstly, Post Office should divide another counter that specific for bills
              and others to reduce waiting time for customer service. Previous counter
              usually used to renew licence rather than paying bills which is taking a
              long time for customer received the next service. By dividing that
              counter, it will be more focuses on specific service provided to customer.
       ii.    In addition, we recommend for parcel delivery should be done by drive-
              thru service to reduce total waiting time for customer service. Moreover,
              it can save the time for customer to deliver the parcel.
3.3   Conclusion
      As the conclusion, the existing system for queuing system of Post Office Arauby
      examining the waiting time of customer is considered as not efficient due to the
      waiting time for customer is the longest at counter of bill and others rather than
      counter parcel delivery\ by using our observation data from 2 pm until 5 pm.
      Many customers need to wait at a long time to receive their service at counter of
      bill and others.
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                                  REFERENCES
Retrieve from https://en.wikipedia.org/wiki/Pos_Malaysia.
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                 APPENDIX A
INPUT ANALYZER
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                        APPENDIX B
RESULT OF ARENA MODEL
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