- "Coordinating contracts for a capital-constrained supply chain with retailer effort"
Présenté par PHAN Dinh Anh (co-écrit avec VO Thi Le Hoa et LAI Anh Ngoc)
In this paper, we study the issue of coordinating a capital constrained supply chain in the presence of retailer effort (CCSCE). We consider a CCSCE consists of a supplier (leader) and a retailer (follower) where the retailer may exert promotional effort and has no access to bank financing due to low credit rating. Conversely, the supplier has adequate funds to offer trade credit to the retailer without borrowing from external channels. We then examine whether the existing coordination contracts in a supply chain (SC) with retailer effort but without capital constraints (SCE) can still coordinate the CCSCE. Our result shows that these contracts can achieve coordination of the SC (SC) when the interest rate of trade credit is competitively priced. In addition, we propose a non-linear trade credit schedule and design a generalized contract based on risk compensation for SC coordination (SCC) when both the capital constraints and the retailer’s promotional effort exist. We also demonstrate that the CCSCE coordination can be achieved only when risk compensation depends on the order quantity. Finally, we perform a numerical study to illustrate the findings.
- "Financing the supply chain"
Présenté par AIT MANSOUR Mohamed (co-écrit avec HOVELAQUE Vincent, VIVIANI Jean-Laurent)
This article explores the retailer borrowing decisions, who can borrow from the supplier or the bank. The goal of this paper is to examine the role of the working capital of the retailer in supply chain for better understanding of the different choices of borrowing decisions. In order to achieve this, we assume that the three main players, i.e., the retailer, the supplier and the bank are in Stackelbreg game. For retailer's borrowing decision, the retailer must take into account the different positions of the other participants in the game. First, we built a model that optimizes the various decision variables, which will help the retailer in making the choice of borrowing. Secondly, we conduct our different simulation results according to the market parameters.