Supply Chain Optimization: A Survey

Models, Algorithms, Decision Support Systems, and Applications

抄録

Recently almost all advanced companies own transactional ITs such as POS (point-of-sales), ERP (enterprise resource planning), MRP (material requirement planning), etc. Since analytic processes are necessary to obtain significant information from them, decision makers of most of those companies can not utilize the outcomes directly. A modern and advanced IT system consisting of models and algorithms is called analytic IT. The objective of the analytic IT is to help the decision maker. In this paper, we survey the supply chain (SC) optimization. We introduce three decision levels of the SC and show the classification of inventories. We also discuss several basic optimization models such as logistics network design, inventory, scheduling, lot-sizing, and vehicle routing models.