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Supply chain strategies based on recourse model for very short life cycle products

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  • Patil, Rahul
  • Avittathur, Balram
  • Shah, Janat

Abstract

Firms that sell very short life cycle products often receive quantity discounts from their suppliers and transporters for placing larger orders. Practitioners and researchers have begun to recognize the need to decide the end of the season markdowns by studying the sales pattern. The use of these options can affect supply chain mismatch risks and costs. In this paper, we study the impact of quantity discounts and transportation cost structures on procurement, shipment and clearance pricing decisions through a stochastic programming with recourse formulation. We propose a solution procedure that efficiently solves this stochastic non-linear problem. Our computational experiments suggest that it is not always necessary to select the most complex action plan. Under some business environments, the conventional strategy of placing and transporting a single large order is a better option. We then identify situations where options such as markdowns and the use of quick response suppliers could be useful.

Suggested Citation

  • Patil, Rahul & Avittathur, Balram & Shah, Janat, 2010. "Supply chain strategies based on recourse model for very short life cycle products," International Journal of Production Economics, Elsevier, vol. 128(1), pages 3-10, November.
    • Handle: RePEc:eee:proeco:v:128:y:2010:i:1:p:3-10
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    1. Douglas A. Popken, 1994. "An Algorithm for the Multiattribute, Multicommodity Flow Problem with Freight Consolidation and Inventory Costs," Operations Research, INFORMS, vol. 42(2), pages 274-286, April.
    2. Khouja, Moutaz, 1999. "The single-period (news-vendor) problem: literature review and suggestions for future research," Omega, Elsevier, vol. 27(5), pages 537-553, October.
    3. Cantamessa, Marco & Valentini, Carlo, 2000. "Planning and managing manufacturing capacity when demand is subject to diffusion effects," International Journal of Production Economics, Elsevier, vol. 66(3), pages 227-240, July.
    4. Lin, Chen-Sin & Kroll, Dennis E., 1997. "The single-item newsboy problem with dual performance measures and quantity discounts," European Journal of Operational Research, Elsevier, vol. 100(3), pages 562-565, August.
    5. Marshall Fisher & Kumar Rajaram & Ananth Raman, 2001. "Optimizing Inventory Replenishment of Retail Fashion Products," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 230-241, November.
    6. Christian van Delft & A. Cheaitou y, 2009. "Two-period production planning and inventory control," Post-Print hal-00491696, HAL.
    7. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    8. Christian van Delft & Ali Cheaitoua & Yves Dallery & Z. Jemai, 2009. "Two-period production planning and inventory control," Post-Print hal-00471430, HAL.
    9. Gérard P. Cachon & A. Gürhan Kök, 2007. "Implementation of the Newsvendor Model with Clearance Pricing: How to (and How Not to) Estimate a Salvage Value," Manufacturing & Service Operations Management, INFORMS, vol. 9(3), pages 276-290, October.
    10. Cattani, Kyle D. & Dahan, Ely & Schmidt, Glen M., 2008. "Tailored capacity: Speculative and reactive fabrication of fashion goods," International Journal of Production Economics, Elsevier, vol. 114(2), pages 416-430, August.
    11. Sen, Alper, 2008. "The US fashion industry: A supply chain review," International Journal of Production Economics, Elsevier, vol. 114(2), pages 571-593, August.
    12. Cheaitou, Ali & van Delft, Christian & Dallery, Yves & Jemai, Zied, 2009. "Two-period production planning and inventory control," International Journal of Production Economics, Elsevier, vol. 118(1), pages 118-130, March.
    13. Jian Li & Suresh Chand & Maqbool Dada & Shailendra Mehta, 2009. "Managing Inventory Over a Short Season: Models with Two Procurement Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 174-184, April.
    14. T-M Choi & D Li & H Yan, 2003. "Optimal two-stage ordering policy with Bayesian information updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 846-859, August.
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    Cited by:

    1. Green, Kenneth W. & Inman, R.Anthony & Birou, Laura M. & Whitten, Dwayne, 2014. "Total JIT (T-JIT) and its impact on supply chain competency and organizational performance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 125-135.
    2. Perez-Franco, R. & Phadnis, S. & Caplice, C. & Sheffi, Y., 2016. "Rethinking supply chain strategy as a conceptual system," International Journal of Production Economics, Elsevier, vol. 182(C), pages 384-396.
    3. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    4. Rina Tanaka & Aya Ishigaki & Tomomichi Suzuki & Masato Hamada & Wataru Kawai, 2019. "Data Analysis of Shipment for Textiles and Apparel from Logistics Warehouse to Store Considering Disposal Risk," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    5. Bhanuteja Sainathuni & Bradley Guthrie & Pratik J. Parikh & Nan Kong, 2019. "Distribution planning for products with varying life cycles," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 41-74, March.
    6. Bradley Guthrie & Pratik J. Parikh & Nan Kong, 2017. "Evaluating warehouse strategies for two-product class distribution planning," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6470-6484, November.

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