Integrated pricing and supplier selection in a two-stage supply chain

• Published in: International journal of production economics 2018-07, Vol.201, p.193-202
• Main Authors: Adeinat, Hamza, Ventura, Jose A.
• Format: Article
• Language: English
• Subjects: Mixed integer nonlinear programming model; Optimal selling price bounds; Price-sensitive demand; Supplier selection; Two-stage supply chain
• ISSN: 0925-5273; 1873-7579
• DOI: 10.1016/j.ijpe.2018.03.021

This article presents an inventory replenishment model with supplier selection and pricing decisions in a two-stage supply chain consisting of a manufacturer stage followed by a retailer stage. A decision maker controls both stages. The manufacturer can procure the required raw material from a list of potential suppliers, each of whom has restrictions regarding capacity and quality. In this model, the manufacturer periodically replenishes the retailer's inventory, whose demand is sensitive to price changes. We propose a mixed integer nonlinear programming model designed to determine the number of orders placed to the selected suppliers per order cycle, the amount of inventory replenished at each stage, and the selling price that maximizes the profit per time unit. Additionally, we provide upper and lower bounds for the retailer's selling price and for the manufacturer's lot size multiplicative factor, which results in a tight feasible search space. •We consider a two-stage supply chain with multiple suppliers and price sensitive demand.•The objective is to maximize profit and find optimal supply plan and inventory levels.•This integrated process is modeled as a mixed integer nonlinear programming model.•We establish bounds on the optimal selling price and lot size multiplicative factor.