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A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems

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  • Hyun-woo Jeon

    (Department of Industrial & Management Systems Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea)

  • Ahmad Ebrahimi

    (Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Ga-hyun Lee

    (Department of Industrial & Management Systems Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea)

Abstract

For warehouses to be more sustainable and cost-effective, it is essential to consider energy consumption (EC) and order tardiness (OT) together in evaluating warehouse activities since improving both EC and OT at the same time is very demanding. While existing studies try to improve EC and OT, the current studies consider only either a reserve area or a forward area between the two major warehouse areas. Thus, this study proposes a simulation-based approach to assessing EC and OT when reserve and forward areas are considered together in one framework for different configurations of five important warehousing parameters: (i) number of forklifts, (ii) number of storage/retrieval (S/R) machines, (iii) number of automated storage/retrieval systems (AS/RS) input/output (I/O) points, (iv) order size, and (v) proportions of order flows through a reserve or forward area. In particular, we use real forklift movement and energy data for our simulation models to provide a more realistic analysis. By building the simulation model with the 2 5 full factorial experimental design, we analyze the results with analysis of variance (ANOVA). The resulting Pareto-optimal solutions show that less traffic flows through a reserve area can help improve both EC and OT while other factors have smaller or limited effects on the two responses. Also, the order flow factor has the largest effect on EC while order size has the largest effect on OT. The results from this study can help warehouse operators make informed decisions in considering and finding a trade-off between sustainability and customer satisfaction.

Suggested Citation

  • Hyun-woo Jeon & Ahmad Ebrahimi & Ga-hyun Lee, 2023. "A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems," Sustainability, MDPI, vol. 15(20), pages 1-25, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14891-:d:1260202
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    References listed on IDEAS

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    1. Bortolini, Marco & Faccio, Maurizio & Ferrari, Emilio & Gamberi, Mauro & Pilati, Francesco, 2017. "Time and energy optimal unit-load assignment for automatic S/R warehouses," International Journal of Production Economics, Elsevier, vol. 190(C), pages 133-145.
    2. Füchtenhans, M. & Glock, C.H. & Grosse, E.H. & Zanoni, S., 2023. "Using smart lighting systems to reduce energy costs in warehouses: A simulation study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136760, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. 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).
    4. Ahmad Ebrahimi & Hyun-woo Jeon & Sang-yeop Jung, 2023. "Improving Energy Consumption and Order Tardiness in Picker-to-Part Warehouses with Electric Forklifts: A Comparison of Four Evolutionary Algorithms," Sustainability, MDPI, vol. 15(13), pages 1-28, July.
    5. Antonella Meneghetti & Eleonora Dal Borgo & Luca Monti, 2015. "Rack shape and energy efficient operations in automated storage and retrieval systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(23), pages 7090-7103, December.
    6. van den Berg, Jeroen P. & Sharp, Gunter P. & Gademann, A. J. R. M. (Noud) & Pochet, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," European Journal of Operational Research, Elsevier, vol. 111(1), pages 98-113, November.
    7. Raffaele Carli & Mariagrazia Dotoli & Salvatore Digiesi & Francesco Facchini & Giorgio Mossa, 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    8. VAN DEN BER, Jeroen P. & SHARPG, Gunter P. & GADEMANN, A.J.R.M. (Noud) & POCHET, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," LIDAM Reprints CORE 1404, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    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. Bartolini, M. & Bottani, E. & Grosse, E. H., 2019. "Green warehousing: systematic literature review and bibliometric analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112369, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Antonella Meneghetti & Luca Monti, 2015. "Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6567-6587, November.
    13. Yunsoo Ha & Junjae Chae, 2019. "A decision model to determine the number of shuttles in a tier-to-tier SBS/RS," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 963-984, February.
    14. Roodbergen, Kees Jan & Vis, Iris F.A., 2009. "A survey of literature on automated storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 194(2), pages 343-362, April.
    15. Masae, M. & Glock, C. H. & Grosse, E. H., 2019. "Order picker routing in warehouses: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118016, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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