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In-Plant Logistics Simulation Model for the Catering Service Industry Towards Sustainable Development: A Case Study

Author

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  • Carman K.M. Lee

    (Department of Industrial Engineering, the Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

  • Shuzhu Zhang

    (Department of Information Management and Engineering, Zhejiang University of Finance & Economics, Hangzhou 310018, China)

  • Kam K.H. Ng

    (Department of Industrial Engineering, the Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)

Abstract

An increasing number of people are conscious of the environmental awareness in various industries, particularly in city areas. It is now a popular trend for the urban catering service industry to outsource its labor-intensive activities, such as dishwashing, to a central dishwashing facility, in which labor force management and optimization are essential. Moreover, the increasing labor cost and fluctuating labor supply drive the increasing need for labor force optimization. This research develops an in-plant logistics simulation model for a central dishwashing facility with the purpose of improving its labor force utilization rate. A discrete event simulation model is established to simulate the tableware washing process, and this model is employed in a one-stop environmentally hygienic dishwashing service provider for trial implementation. The simulation result has been compared with actual situations, identifies the main bottlenecks of the tableware washing process, optimizes the utilization rate of the labor force, and further helps to improve the productivity.

Suggested Citation

  • Carman K.M. Lee & Shuzhu Zhang & Kam K.H. Ng, 2019. "In-Plant Logistics Simulation Model for the Catering Service Industry Towards Sustainable Development: A Case Study," Sustainability, MDPI, vol. 11(13), pages 1-11, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3655-:d:245254
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    References listed on IDEAS

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    1. Iannoni, Ana Paula & Morabito, Reinaldo, 2006. "A discrete simulation analysis of a logistics supply system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 191-210, May.
    2. C.K.M. Lee & Yaqiong Lv & K.K.H. Ng & William Ho & K.L. Choy, 2018. "Design and application of Internet of things-based warehouse management system for smart logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2753-2768, April.
    3. Martin Krajčovič & Viktor Hančinský & Ľuboslav Dulina & Patrik Grznár & Martin Gašo & Juraj Vaculík, 2019. "Parameter Setting for a Genetic Algorithm Layout Planner as a Toll of Sustainable Manufacturing," Sustainability, MDPI, vol. 11(7), pages 1-26, April.
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    Cited by:

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    2. Sebastjan Lazar & Dorota Klimecka-Tatar & Matevz Obrecht, 2021. "Sustainability Orientation and Focus in Logistics and Supply Chains," Sustainability, MDPI, vol. 13(6), pages 1-20, March.

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