IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v6y2022i2p34-d825690.html
   My bibliography  Save this article

Improving Replenishment Flows Using Simulation Results: A Case Study

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/6/2/34/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/6/2/34/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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, Springer, edition 2, number 978-3-662-64476-8, December.
    4. 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.
    5. 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.
    6. Alexander Tsigkas, 2022. "The Modern Lean Enterprise," Management for Professionals, in: The Modern Lean Enterprise, edition 2, chapter 1, pages 1-10, Springer.
    7. Alexander Tsigkas, 2022. "Principles of Lean Production," Management for Professionals, in: The Modern Lean Enterprise, edition 2, chapter 4, pages 43-51, Springer.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Marc Helmold, 2022. "Performance Management as Part of the Corporate Strategy," Management for Professionals, in: Strategic Performance Management, chapter 1, pages 1-23, Springer.
    13. 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.
    14. 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.
    15. 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.
    16. Marc Helmold, 2022. "Strategic Performance Management," Management for Professionals, Springer, number 978-3-030-98725-1, December.
    17. Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
    18. 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).
    19. 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).
    20. Marc Helmold, 2022. "Performance Management in Operations Management," Management for Professionals, in: Strategic Performance Management, chapter 3, pages 57-70, Springer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yahel Giat, 2024. "Stock Levels and Repair Sourcing in a Periodic Review Exchangeable Item Repair System," Logistics, MDPI, vol. 8(2), pages 1-19, March.

    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. Masae, Makusee & Glock, Christoph H. & Vichitkunakorn, Panupong, 2021. "A method for efficiently routing order pickers in the leaf warehouse," International Journal of Production Economics, Elsevier, vol. 234(C).
    2. Maria A. M. Trindade & Paulo S. A. Sousa & Maria R. A. Moreira, 2022. "Ramping up a heuristic procedure for storage location assignment problem with precedence constraints," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 646-669, September.
    3. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
    4. Glock, Christoph H. & Grosse, Eric H. & Abedinnia, Hamid & Emde, Simon, 2019. "An integrated model to improve ergonomic and economic performance in order picking by rotating pallets," European Journal of Operational Research, Elsevier, vol. 273(2), pages 516-534.
    5. Zheng, Liang & Xue, Xinfeng & Xu, Chengcheng & Ran, Bin, 2019. "A stochastic simulation-based optimization method for equitable and efficient network-wide signal timing under uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 287-308.
    6. Arpan Rijal & Marco Bijvank & Asvin Goel & René de Koster, 2021. "Workforce Scheduling with Order-Picking Assignments in Distribution Facilities," Transportation Science, INFORMS, vol. 55(3), pages 725-746, May.
    7. Nikolaos Ploskas & Nikolaos V. Sahinidis, 2022. "Review and comparison of algorithms and software for mixed-integer derivative-free optimization," Journal of Global Optimization, Springer, vol. 82(3), pages 433-462, March.
    8. Osorio, Carolina, 2019. "High-dimensional offline origin-destination (OD) demand calibration for stochastic traffic simulators of large-scale road networks," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 18-43.
    9. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    10. Katrin Heßler & Stefan Irnich, 2023. "Exact Solution of the Single Picker Routing Problem with Scattered Storage," Working Papers 2303, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    11. Strang, Kenneth David, 2012. "Importance of verifying queue model assumptions before planning with simulation software," European Journal of Operational Research, Elsevier, vol. 218(2), pages 493-504.
    12. Arreola-Risa, Antonio & Giménez-García, Víctor M. & Martínez-Parra, José Luis, 2011. "Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis," European Journal of Operational Research, Elsevier, vol. 213(1), pages 107-118, August.
    13. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," European Journal of Operational Research, Elsevier, vol. 277(2), pages 396-411.
    14. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    15. Shandong Mou, 2022. "Integrated Order Picking and Multi-Skilled Picker Scheduling in Omni-Channel Retail Stores," Mathematics, MDPI, vol. 10(9), pages 1-19, April.
    16. Christoph H. Glock & Eric H. Grosse & Ralf M. Elbert & Torsten Franzke, 2017. "Maverick picking: the impact of modifications in work schedules on manual order picking processes," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6344-6360, November.
    17. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Other publications TiSEM cf311469-5f8c-4c1e-ad4f-6, Tilburg University, School of Economics and Management.
    18. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers," International Journal of Production Economics, Elsevier, vol. 245(C).
    19. XiaoLi Zhang & Jelle de Vries & René de Koster & ChenGuang Liu, 2022. "Fast and Faultless? Quantity and Quality Feedback in Order Picking," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1536-1559, April.
    20. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Other publications TiSEM 6ac4e049-ad86-447f-aeec-a, Tilburg University, School of Economics and Management.

    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:gam:jlogis:v:6:y:2022:i:2:p:34-:d:825690. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.