IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/jber147.html
   My bibliography  Save this paper

Modern Hypermarket Receiving Yard Utilization: The Implementation of a Simulation Model

Author

Listed:
  • Mohammad Annas

    (Universitas Multimedia Nusantara, Tangerang, 15153, Indonesia)

Abstract

"Objective � This research is a direct observation of initial queuing, using data that is categorised into two clusters: the number of people queuing at busy hours, and processing times in the same circumstances. Methodology/Technique � The raw data was converted for use in the Poisson distribution test, as well as the Kolmogorov-Smirnov exponential distribution options. An arena simulation model was also applied to identify the vendor's waiting time and to analyse receiving yard utilization. The average waiting time according to the Poisson distribution, the average serving time per vendor by an exponential distribution, and the number of receiving yards, are all essential factors effecting the utilization of receiving yards. Findings � The study compares the length of queues, serving times, arrival rate, and time in the system using dual and single receiving yard systems. However, the utilization rate on a two receiving yards system is less than the rate on single receiving yard system. As the aim of this study is to identify the utilization rate of the receiving yard, a single receiving yard operation is more representative of modern hypermarkets, and more efficient in terms of resource efficiency. Novelty � This study depends fully on the homogeneous operating hours of the retailers' receiving yards, the type of vehicle used by vendors to unload merchandises, procedures on moving the products to the inspections phase, a generalization of the products delivered by the vendors and the size of the modern hypermarkets business itself. "

Suggested Citation

  • Mohammad Annas, 2017. "Modern Hypermarket Receiving Yard Utilization: The Implementation of a Simulation Model," GATR Journals jber147, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jber147
    as

    Download full text from publisher

    File URL: http://gatrenterprise.com/GATRJournals/pdf_files/JBER%20Vol%202(4)%20oct-dec2017/5.Mohammad%20Annas.pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kim, Inhi & Galiza, Ronald & Ferreira, Luis, 2013. "Modeling pedestrian queuing using micro-simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 232-240.
    2. Nie, Winter, 2000. "Waiting: integrating social and psychological perspectives in operations management," Omega, Elsevier, vol. 28(6), pages 611-629, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marina Lagune-Reutler & Andrew Guthrie & Yingling Fan & David Levinson, 2015. "Transit Riders' Perception of Waiting Time and Stops' Surrounding Environments," Working Papers 000142, University of Minnesota: Nexus Research Group.
    2. Zhou, Yuanyuan & Tsang, Alex S.L. & Huang, Minxue & Zhou, Nan, 2014. "Does delaying service-failure resolution ever make sense?," Journal of Business Research, Elsevier, vol. 67(2), pages 159-166.
    3. Stefan Meinzer & Johann Prenninger & Patrick Vesel & Johannes Kornhuber & Judith Volmer & Joachim Hornegger & Björn M. Eskofier, 2016. "Translating satisfaction determination from health care to the automotive industry," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 651-685, December.
    4. Seungho Yang & Tanvir Uddin Chowdhury & Ahmad Mohammadi & Peter Y. Park, 2022. "Development of a Method for Evaluating Social Distancing Situations on Urban Streets during a Pandemic," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    5. de Lange, Robert & Samoilovich, Ilya & van der Rhee, Bo, 2013. "Virtual queuing at airport security lanes," European Journal of Operational Research, Elsevier, vol. 225(1), pages 153-165.
    6. Lee, Lorraine S. & Fiedler, Kirk D. & Smith, Jeffery S., 2008. "Radio frequency identification (RFID) implementation in the service sector: A customer-facing diffusion model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 587-600, April.
    7. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen & Li, Rong & Duan, Qishen, 2015. "Simulation and analysis of congestion risk during escalator transfers using a modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 28-40.
    8. Linda Dezso & Gergely Hajdu & Yossef Tobol, 2024. "Unexpected Waiting Corrupts," Department of Economics Working Papers wuwp358, Vienna University of Economics and Business, Department of Economics.
    9. van Ackere, Ann & Haxholdt, Christian & Larsen, Erik R., 2013. "Dynamic capacity adjustments with reactive customers," Omega, Elsevier, vol. 41(4), pages 689-705.
    10. Borges, Adilson & Herter, Márcia Maurer & Chebat, Jean-Charles, 2015. "“It was not that long!†: The effects of the in-store TV screen content and consumers emotions on consumer waiting perception," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 96-106.
    11. Dezsîo, Linda & Hajdu, Gergely & Tobol, Yossef, 2024. "Unexpected waiting corrupts," Research Papers 26, EcoAustria – Institute for Economic Research.
    12. Wu, Pei-Yang & Guo, Ren-Yong, 2021. "Simulation of pedestrian flows through queues: Effect of interaction and intersecting angle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    13. Çavdar, Bahar & Erkip, Nesim, 2023. "Word-of-Mouth on Action: Analysis of Optimal Shipment Policy When Customers are Resentful," Omega, Elsevier, vol. 118(C).
    14. F. Atiyya Shaw & Aliaksandr Malokin & Patricia L. Mokhtarian & Giovanni Circella, 2021. "Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes," Transportation, Springer, vol. 48(1), pages 395-429, February.
    15. Hajdu, Gergely & Dezső, Linda & Tobol, Yossef, 2024. "Unexpected Waiting Corrupts," Department of Economics Working Paper Series 358, WU Vienna University of Economics and Business.
    16. Zhu, John Jianjun & Chang, Yung-Chun & Ku, Chih-Hao & Li, Stella Yiyan & Chen, Chi-Jen, 2021. "Online critical review classification in response strategy and service provider rating: Algorithms from heuristic processing, sentiment analysis to deep learning," Journal of Business Research, Elsevier, vol. 129(C), pages 860-877.
    17. Zeyang Cheng & Jian Lu & Yi Zhao, 2020. "Pedestrian Evacuation Risk Assessment of Subway Station under Large-Scale Sport Activity," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    18. Li, Wenhang & Li, Yi & Yu, Ping & Gong, Jianhua & Fan, Hongkui & Zhang, Dong & Huang, Lin & Zhang, Guoyong, 2022. "Modeling orderly queuing behavior with bending effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 601(C).
    19. Findley, Daniel J. & Anderson, Tracy J. & Bert, Steven A. & Nye, Timothy & Letchworth, Will, 2018. "Evaluation of wait times and queue lengths at ferry terminals," Research in Transportation Economics, Elsevier, vol. 71(C), pages 27-33.
    20. Christian Pfeiffer & Arne Schulz, 2022. "An ALNS algorithm for the static dial-a-ride problem with ride and waiting time minimization," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 87-119, March.

    More about this item

    Keywords

    Receiving Yard Utilization; Hypermarket Receiving Yard; Queuing Simulation.;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gtr:gatrjs:jber147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.