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An Efficient Approach to Investigate the Tradeoff between Double Handling and Needed Capacity in Automated Distribution Centers

Author

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  • Mohammed Alnahhal

    (Mechanical and Industrial Engineering Department, American University of Ras Al Khaimah, Ras Al Khaimah P.O. Box 10021, United Arab Emirates)

  • Bashir Salah

    (Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Mohammed Ruzayqat

    (Transport Systems and Logistics, Department of Mechanical and Process Engineering, University of Duisburg-Essen, Keetmanstraße 3-9, 47058 Duisburg, Germany)

Abstract

Sustainable techniques in distribution centers, such as automation that reduces the land area needed, can be utilized. Automated Storage and Retrieval Systems (AS/RS) are used to efficiently manage the flow of pallets and carton cases in distribution centers. There are two types of AS/RS: one for pallets and another type for cases that are depalletized from pallets. Further enhancements on the system are obtained by investigating both warehouses together. This paper investigates an efficient approach that directly affects the conceptual design of automated distribution centers for the purpose of reducing the total costs. The tradeoff between the throughput (defined by the level of double handling) and warehouse capacity is investigated in this study by finding the best lot sizing rules for different classes of products (A, B, and C). These rules are to determine the method of moving carton cases from the first warehouse to the second one. The number of stacker cranes is determined based on the found throughput. The effect of double handling of pallets on the design is considered for the first time in this study. Analytical formulas and simulation were used to find the throughput and capacity based on the mentioned lot sizing rules. Then, an integer nonlinear model was developed to optimize the system. According to the results of the assumed data, the model can save up to 19.5%. The costs of stacker cranes were found to account for approximately 78.7% of the total costs in the best solution found. A decision support system has been developed to help decision makers find an efficient design of distribution center.

Suggested Citation

  • Mohammed Alnahhal & Bashir Salah & Mohammed Ruzayqat, 2022. "An Efficient Approach to Investigate the Tradeoff between Double Handling and Needed Capacity in Automated Distribution Centers," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7678-:d:846114
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    References listed on IDEAS

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    1. Lee, Young Hae & Hwan Lee, Moon & Hur, Sun, 2005. "Optimal design of rack structure with modular cell in AS/RS," International Journal of Production Economics, Elsevier, vol. 98(2), pages 172-178, November.
    2. Chen, Gang & Feng, Haolin & Luo, Kaiyi & Tang, Yanli, 2021. "Retrieval-oriented storage relocation optimization of an automated storage and retrieval system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    3. Ye Shi & Xiaolong Guo & Yugang Yu, 2018. "Dynamic warehouse size planning with demand forecast and contract flexibility," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1313-1325, February.
    4. Özalp Özer & Wei Wei, 2004. "Inventory Control with Limited Capacity and Advance Demand Information," Operations Research, INFORMS, vol. 52(6), pages 988-1000, December.
    5. Jianming Cai & Xiaokang Li & Yue Liang & Shan Ouyang, 2021. "Collaborative Optimization of Storage Location Assignment and Path Planning in Robotic Mobile Fulfillment Systems," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    6. Dessouky, Maged M. & Wilson, James R., 1991. "Minimizing production costs for a robotic assembly system," Engineering Costs and Production Economics, Elsevier, vol. 21(1), pages 81-92, February.
    7. Jingjing Hao & Haoming Shi & Victor Shi & Chenchen Yang, 2020. "Adoption of Automatic Warehousing Systems in Logistics Firms: A Technology–Organization–Environment Framework," Sustainability, MDPI, vol. 12(12), pages 1-14, June.
    8. Konrad Lewczuk & Michał Kłodawski & Paweł Gepner, 2021. "Energy Consumption in a Distributional Warehouse: A Practical Case Study for Different Warehouse Technologies," Energies, MDPI, vol. 14(9), pages 1-25, May.
    9. Fichtinger, J. & Ries, J. M. & Grosse, E. H. & Baker, P., 2015. "Assessing the environmental impact of integrated inventory and warehouse management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74211, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Fichtinger, Johannes & Ries, Jörg M. & Grosse, Eric H. & Baker, Peter, 2015. "Assessing the environmental impact of integrated inventory and warehouse management," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 717-729.
    11. Yavuz A. Bozer & John A. White, 1990. "Design and Performance Models for End-of-Aisle Order Picking Systems," Management Science, INFORMS, vol. 36(7), pages 852-866, July.
    12. Mohammed Alnahhal & Mosab I. Tabash & Diane Ahrens, 2021. "Optimal selection of third-party logistics providers using integer programming: a case study of a furniture company storage and distribution," Annals of Operations Research, Springer, vol. 302(1), pages 1-22, July.
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    Cited by:

    1. Xuan Zhang & Tiantian Mo & Yougong Zhang, 2023. "Optimization of Storage Location Assignment for Non-Traditional Layout Warehouses Based on the Firework Algorithm," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    2. Yi Li & Zhiyang Li, 2022. "Shuttle-Based Storage and Retrieval System: A Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-18, November.

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