IEEE Access (Jan 2018)

Optimal Credit Period and Lot Size Policies for a Retailer at Risk of Customer Default Under Two-Echelon Partial Trade Credit

  • Chuan Zhang,
  • Ling-Wei Fan,
  • Yu-Xin Tian,
  • Shu-Min Yang

DOI
https://doi.org/10.1109/ACCESS.2018.2871838
Journal volume & issue
Vol. 6
pp. 54295 – 54309

Abstract

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In business practice, suppliers and retailers frequently offer trade credit to down-stream members to decrease the inventory level and promote sales. Granting trade credit also increases retailers' credit risk and customers' default risk, which may reduce retailers' profit and in turn exert negative influence on the supplier's profit. Hence, for the sake of self-interest, both the supplier and retailer choose to provide partial trade credit for their down-stream enterprises or customers. Numerous researchers assume the retailer is so powerful in decision-making that he/she can achieve the full trade credit. However, very few academicians have studied two-echelon partial trade credit, which is closer to reality. In this paper, we establish an economic order quantity model for a retailer that receives a partial trade credit from its supplier and offers a partial trade credit to its customers based on the retailer's profit maximization. The demand and default risk are assumed to be dependent on the credit period provided by retailers. This paper proves that the optimal solution is existing and unique. Meanwhile, we propose discrimination terms to identify the optimal solution among possible alternatives. Lastly, through numerical examples and sensitivity analysis, we derive the impact of related parameters on a retailer's order decision and managerial insights.

Keywords