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Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams' initiatives

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  • Shib Sankar Sana

Abstract

The paper develops a production-inventory model of a two-stage supply chain consisting of one manufacturer and one retailer to study production lot size/order quantity, reorder point sales teams’ initiatives where demand of the end customers is dependent on random variable and sales teams’ initiatives simultaneously. The manufacturer produces the order quantity of the retailer at one lot in which the procurement cost per unit quantity follows a realistic convex function of production lot size. In the chain, the cost of sales team's initiatives/promotion efforts and wholesale price of the manufacturer are negotiated at the points such that their optimum profits reached nearer to their target profits. This study suggests to the management of firms to determine the optimal order quantity/production quantity, reorder point and sales teams’ initiatives/promotional effort in order to achieve their maximum profits. An analytical method is applied to determine the optimal values of the decision variables. Finally, numerical examples with its graphical presentation and sensitivity analysis of the key parameters are presented to illustrate more insights of the model.

Suggested Citation

  • Shib Sankar Sana, 2016. "Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams' initiatives," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(2), pages 450-465, January.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:2:p:450-465
    DOI: 10.1080/00207721.2014.886748
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    Cited by:

    1. Bo Yan & Jiwen Wu & Zijie Jin & Shiyou He, 2020. "Decision-making of fresh agricultural product supply chain considering the manufacturer’s fairness concerns," 4OR, Springer, vol. 18(1), pages 91-122, March.
    2. Emad Sane-Zerang & Jafar Razmi & Ata Allah Taleizadeh, 2020. "Coordination in a closed-loop supply chain under asymmetric and symmetric information with sales effort-dependent demand," Journal of Business Economics, Springer, vol. 90(2), pages 303-334, March.
    3. Hardik N. Soni & Dipali N. Suthar, 2020. "Optimal pricing and replenishment policy for non-instantaneous deteriorating items with varying rate of demand and partial backlogging," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 986-1021, September.
    4. Ranjeet Rajput & Sri Vanamalla Venkataraman, 2022. "A violent market price contract for agribusiness supply chain," Annals of Operations Research, Springer, vol. 315(2), pages 1971-1996, August.

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