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Multi-Echelon Inventory Optimization for Practitioners: a Predictive Global Sensitivity Analysis Approach

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  • Gihan S. Edirisinghe

    (Gordon Ford College of Business, Western Kentucky University)

  • Thamer Almutairi

    (Carson College of Business, Washington State University)

Abstract

Intense competition in e-commerce has forced firms to provide highly precise delivery time guarantees such as ‘same-day’ and ‘2-day’ shipping. To meet these stringent standards, it is imperative that companies avoid stock-outs across multi-echelon supply chain networks. Due to their demanding computational requirements, current approaches for optimizing network-wide safety stock levels are challenging tools to use for day-to-day managerial decision-making. We propose a methodology that creates structural equations using regression techniques based on known optimal results. To achieve this, we employ predictive global sensitivity analysis (PGSA), which allows us to create structural equations based on known optimal results using regression techniques. However, these equations do not necessarily require the conventional inputs of models like the guaranteed-service model. Instead, we regress more intelligible independent variables for near-optimal solutions, which suffices in many initial decision-making situations faced by practitioners, such as evaluating different options, what-if-analysis, and scenario planning.

Suggested Citation

  • Gihan S. Edirisinghe & Thamer Almutairi, 2023. "Multi-Echelon Inventory Optimization for Practitioners: a Predictive Global Sensitivity Analysis Approach," SN Operations Research Forum, Springer, vol. 4(2), pages 1-20, June.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:2:d:10.1007_s43069-023-00222-7
    DOI: 10.1007/s43069-023-00222-7
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    References listed on IDEAS

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    1. Corey Billington & Gianpaolo Callioni & Barrett Crane & John D. Ruark & Julie Unruh Rapp & Trace White & Sean P. Willems, 2004. "Accelerating the Profitability of Hewlett-Packard's Supply Chains," Interfaces, INFORMS, vol. 34(1), pages 59-72, February.
    2. Minner, Stefan, 2001. "Strategic safety stocks in reverse logistics supply chains," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 417-428, May.
    3. Stephen C. Graves & Sean P. Willems, 2000. "Optimizing Strategic Safety Stock Placement in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 68-83, June.
    4. Kenneth F. Simpson, 1958. "In-Process Inventories," Operations Research, INFORMS, vol. 6(6), pages 863-873, December.
    5. Brian Wieland & Pat Mastrantonio & Sean P. Willems & Karl G. Kempf, 2012. "Optimizing Inventory Levels Within Intel's Channel Supply Demand Operations," Interfaces, INFORMS, vol. 42(6), pages 517-527, December.
    6. Harvey M. Wagner, 1995. "Global Sensitivity Analysis," Operations Research, INFORMS, vol. 43(6), pages 948-969, December.
    7. Inderfurth, Karl, 1991. "Safety stock optimization in multi-stage inventory systems," International Journal of Production Economics, Elsevier, vol. 24(1-2), pages 103-113, November.
    8. Eruguz, Ayse Sena & Sahin, Evren & Jemai, Zied & Dallery, Yves, 2016. "A comprehensive survey of guaranteed-service models for multi-echelon inventory optimization," International Journal of Production Economics, Elsevier, vol. 172(C), pages 110-125.
    9. Ingrid Farasyn & Salal Humair & Joel I. Kahn & John J. Neale & Oscar Rosen & John Ruark & William Tarlton & Wim Van de Velde & Glenn Wegryn & Sean P. Willems, 2011. "Inventory Optimization at Procter & Gamble: Achieving Real Benefits Through User Adoption of Inventory Tools," Interfaces, INFORMS, vol. 41(1), pages 66-78, February.
    10. John J. Neale & Sean P. Willems, 2009. "Managing Inventory in Supply Chains with Nonstationary Demand," Interfaces, INFORMS, vol. 39(5), pages 388-399, October.
    11. Chieh Lee & Charles L. Munson, 2015. "A predictive global sensitivity analysis approach to monitoring and modifying operational hedging positions," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(3), pages 178-201.
    12. Inderfurth, Karl & Minner, Stefan, 1998. "Safety stocks in multi-stage inventory systems under different service measures," European Journal of Operational Research, Elsevier, vol. 106(1), pages 57-73, April.
    13. Diks, E. B. & de Kok, A. G. & Lagodimos, A. G., 1996. "Multi-echelon systems: A service measure perspective," European Journal of Operational Research, Elsevier, vol. 95(2), pages 241-263, December.
    14. Sinha, Priyank & Kumar, Sameer & Prakash, Surya, 2020. "Measuring and mitigating the effects of cost disturbance propagation in multi-echelon apparel supply chains," European Journal of Operational Research, Elsevier, vol. 282(1), pages 148-160.
    15. Borgonovo, E. & Peccati, L., 2007. "Global sensitivity analysis in inventory management," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 302-313, July.
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