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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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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

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