The Multi-Objective Facility Location Problem Model with Integrated Inventory Control and Logistics Network Issues – In the case of Taiwan Medical Blood Supply Chain

• Main Authors: Hsiu-Han Hu, 胡琇涵
• Other Authors: Shu-Hsien Liao
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/22716313499905171159

碩士 === 淡江大學 === 管理科學學系碩士班 === 100 === The study is focused on the design of Facility Location Problem (FLP) in a logistics network for a blood supply chain in Taiwan. According to the blood characteristic of deterioration, we design a two-staged model to depict our problem. In the strategic level, we discuss the issues of facility location and transportation decisions in supply chain management. In the tactic level, we consider about the inventory control problem. In our two-staged blood supply chain, the blood center, where the blood is collected from donors, sends whole blood to a blood warehouse and then it is distributed to different levels of hospitals. Our goal of using two objectives to minimize the total supply chain cost and the maximize responsiveness level. In order to find the Pareto optimal solutions, we use Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) to solve a mixed nonlinear integer programming problem with two greedy heuristics. We use the software of MATLAB to solve our established model. According to the computational results, we realize the effects of the optimal Pareto solutions in our problem. We also design three different scenarios to understand how different conditions affect both strategic and tactic decisions so that, the decision makers could make decisions from the computational solutions. Finally, we perform sensitivity analysis to understand the impacts on changing model parameters.