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Customer selection and incentivization for SKU rationalization in a packaged gas supply chain

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  • Malinowski, Ethan
  • Karwan, Mark H.
  • Sun, Lei

Abstract

This paper presents customer selection and incentivization methodologies necessary for the implementation of many SKU rationalization schemes. Our work accounts for the problem of business demand loss, which is undesirably associated with the benefits of rationalized product offerings. We apply our methodologies to a particularly complex instance of SKU rationalization established in the literature, namely a case of demand substitution within a packaged gas supply chain planning problem. This is done both to display the value of our contributions, and to provide a business setting for the workflow process we prescribe for decision makers. In our first contribution, we develop a customer selection heuristic which pre-processes targets for demand substitution, subject to demand characteristics and the supply chain features. The heuristic is shown to outperform objectives utilizing random customer selection by 10–20%, dependent on the desired amount of substitution required of the demand-base. Further, we show that the heuristic outperforms an MILP extension, which explicitly includes customer selection as a decision in the underlying supply chain problem's model, by 7% across a variety of cases. Our second contribution regards development of prescriptive incentivization methodologies for a business, in order to secure shifts in demand profiles across the selected customers. We present multiple strategies for both determining offerings and analyzing system implications, while recognizing stochastic and diverse customer behaviors. In addition to providing useful methodologies around SKU rationalization, trade-offs and business implications throughout the execution of such ideas in practice are heavily considered throughout this work.

Suggested Citation

  • Malinowski, Ethan & Karwan, Mark H. & Sun, Lei, 2021. "Customer selection and incentivization for SKU rationalization in a packaged gas supply chain," International Journal of Production Economics, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:proeco:v:234:y:2021:i:c:s0925527320303571
    DOI: 10.1016/j.ijpe.2020.108008
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    References listed on IDEAS

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    1. Malinowski, Ethan & Karwan, Mark H. & Sun, Lei & Pinto, José M., 2018. "Packaged gas supply chain planning with network-wide SKU rationalization," International Journal of Production Economics, Elsevier, vol. 204(C), pages 346-357.
    2. Arthur Hsu & Yehuda Bassok, 1999. "Random Yield and Random Demand in a Production System with Downward Substitution," Operations Research, INFORMS, vol. 47(2), pages 277-290, April.
    3. Sheikh-Zadeh, Alireza & Rossetti, Manuel D., 2020. "Classification methods for problem size reduction in spare part provisioning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 99-114.
    4. Millstein, Mitchell A. & Yang, Liu & Li, Haitao, 2014. "Optimizing ABC inventory grouping decisions," International Journal of Production Economics, Elsevier, vol. 148(C), pages 71-80.
    5. Basso, Leonardo J. & Guevara, Cristián Angelo & Gschwender, Antonio & Fuster, Marcelo, 2011. "Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion," Transport Policy, Elsevier, vol. 18(5), pages 676-684, September.
    6. Chiang, Wei-yu Kevin, 2010. "Product availability in competitive and cooperative dual-channel distribution with stock-out based substitution," European Journal of Operational Research, Elsevier, vol. 200(1), pages 111-126, January.
    7. Colleen M. Harmeling & Jordan W. Moffett & Mark J. Arnold & Brad D. Carlson, 2017. "Toward a theory of customer engagement marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 312-335, May.
    8. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    9. Yücel, Eda & Karaesmen, Fikri & Salman, F. Sibel & Türkay, Metin, 2009. "Optimizing product assortment under customer-driven demand substitution," European Journal of Operational Research, Elsevier, vol. 199(3), pages 759-768, December.
    10. Lou, Yingyan & Yin, Yafeng & Lawphongpanich, Siriphong, 2010. "Robust congestion pricing under boundedly rational user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 15-28, January.
    11. Zhang, Xiaoning & Yang, Hai, 2004. "The optimal cordon-based network congestion pricing problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 517-537, July.
    12. Yang, Liu & Li, Haitao & Campbell, James F. & Sweeney, Donald C., 2017. "Integrated multi-period dynamic inventory classification and control," International Journal of Production Economics, Elsevier, vol. 189(C), pages 86-96.
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