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Improving Replenishment Flows Using Simulation Results: A Case Study

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  • Othmane Benmoussa

    (Euromed Research Center, Euromed Polytechnic School, Euro-Mediterranean University of Fes, Rond-Point Bensouda, Fès 30030, Morocco)

Abstract

Background : Replenishment process is one of the success factors for a more efficient management of operations and a regained profitability. The application of the principles of lean manufacturing in the field of industrial logistics, where substantial improvements in the replenishment process are necessary, is relevant with the objective of optimising the replenishment flow of raw materials from assembly lines in order to propose and implement robust solutions capable of mitigating or even eliminating all types of waste and maximising the productivity of value-added activities. Methods : To achieve this goal, the paper follows the spirit of the DMAIC (Define, Measure, Analyse, Improve and Control) and 5-Why methods that allow the mapping of internal processes of factory logistics in the particular case of a Wire Harness Automotive Plant. Results : Based on the data collected, as well as on specific analysis methods, simulations are launched to challenge and validate the improvements made to the replenishment process. Conclusions : Several generalisable lessons are learnt regarding replenishment flow management, covering topics such as inventory traceability, in addition to logistics costs and process flow optimisation.

Suggested Citation

  • Othmane Benmoussa, 2022. "Improving Replenishment Flows Using Simulation Results: A Case Study," Logistics, MDPI, vol. 6(2), pages 1-26, May.
  • Handle: RePEc:gam:jlogis:v:6:y:2022:i:2:p:34-:d:825690
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    References listed on IDEAS

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    1. Geraghty, John & Heavey, Cathal, 2004. "A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies," International Journal of Production Economics, Elsevier, vol. 91(1), pages 75-90, September.
    2. Masae, Makusee & Glock, Christoph H. & Grosse, Eric H., 2020. "Order picker routing in warehouses: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 224(C).
    3. Alexander Tsigkas, 2022. "The Modern Lean Enterprise," Management for Professionals, in: The Modern Lean Enterprise, edition 2, chapter 1, pages 1-10, Springer.
    4. Alexander Tsigkas, 2022. "Principles of Lean Production," Management for Professionals, in: The Modern Lean Enterprise, edition 2, chapter 4, pages 43-51, Springer.
    5. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2010. "Constrained optimization in simulation : A novel approach," Other publications TiSEM b3655866-b593-4854-a4fd-5, Tilburg University, School of Economics and Management.
    6. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    7. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Other publications TiSEM e49ba0fc-853c-4a13-b564-d, Tilburg University, School of Economics and Management.
    8. Marc Helmold, 2022. "Strategic Performance Management," Management for Professionals, Springer, number 978-3-030-98725-1, December.
    9. Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
    10. Glock, C. H. & Grosse, E. H., 2012. "Storage policies and order picking strategies in U-shaped order-picking systems with a movable base," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57442, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Franzke, T. & Grosse, E. H. & Glock, C. H. & Elbert, R., 2017. "An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82572, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Alexander Tsigkas, 2022. "The Modern Lean Enterprise," Management for Professionals, Springer, edition 2, number 978-3-662-64476-8, December.
    13. Hamed Jalali & Inneke Van Nieuwenhuyse, 2015. "Simulation optimization in inventory replenishment: a classification," IISE Transactions, Taylor & Francis Journals, vol. 47(11), pages 1217-1235, November.
    14. Matusiak, Marek & de Koster, René & Kroon, Leo & Saarinen, Jari, 2014. "A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse," European Journal of Operational Research, Elsevier, vol. 236(3), pages 968-977.
    15. Marc Helmold & Ayşe Küçük Yılmaz & Tracy Dathe & Triant G. Flouris, 2022. "Introduction to Supply Chain Risk Management (SCRM)," Management for Professionals, in: Supply Chain Risk Management, chapter 1, pages 1-12, Springer.
    16. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.
    17. Matusiak, Marek & de Koster, René & Saarinen, Jari, 2017. "Utilizing individual picker skills to improve order batching in a warehouse," European Journal of Operational Research, Elsevier, vol. 263(3), pages 888-899.
    18. Marc Helmold, 2022. "Performance Management as Part of the Corporate Strategy," Management for Professionals, in: Strategic Performance Management, chapter 1, pages 1-23, Springer.
    19. Marc Helmold & Ayşe Küçük Yılmaz & Tracy Dathe & Triant G. Flouris, 2022. "Supply Chain Risk Management," Management for Professionals, Springer, number 978-3-030-90800-3, December.
    20. Amdework Gochel & Sisay G. Gebeyehu & Muluken Abebe, 2022. "Production lead time improvement through lean manufacturing," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 40(2), pages 147-156.
    21. Mark L. Spearman & Michael A. Zazanis, 1992. "Push and Pull Production Systems: Issues and Comparisons," Operations Research, INFORMS, vol. 40(3), pages 521-532, June.
    22. Marc Helmold, 2022. "Performance Management in Operations Management," Management for Professionals, in: Strategic Performance Management, chapter 3, pages 57-70, Springer.
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