International Journal of Supply Chain Management
Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)

Application of the Logit Demand Function to Determine the Retail Price and Inventory Replenishment Policy in a Serial Supply Chain

Lisha Duan (Pennsylvania State University)
Jose A Ventura (Pennsylvania State University)
Bárbara B Venegas-Quintrileo (Pennsylvania State University)



Article Info

Publish Date
24 Jun 2019

Abstract

We consider a serial supply chain with multiple stages in a centralized control scenario. Within this supply chain, the first stage faces a supplier selection decision for a particular product that experiences a price sensitive demand. The demand is represented as a logit function, which parameters account for the range and price sensitivity factors. Suppliers are capacitated and offer their individual fixed unit price with a corresponding quality level for the product. The buying stage needs to decide which suppliers to choose and how to allocate orders, determining the optimal inventory policy for all stages and the retail price to offer to end customers, while maximizing the total profit of the supply chain. The problem is formulated as a mixed integer nonlinear programming model and a heuristic algorithm is proposed to deal with the complexity of the model. Then, we analyze a special case that considers only one uncapacitated supplier and a buyer with price sensitive demand in a serial supply chain. An efficient heuristic is developed for this case to obtain the near optimal solution in a timely manner. Finally, we provide a series of numerical examples to illustrate our results and analyze the impact of the parameters within a sensitivity analysis.

Copyrights © 2019






Journal Info

Abbrev

IJSCM

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...