<b>Supply Chain Optimization: A Surv</b><b>ey </b>

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  • Hashimoto Hideki
    Faculty of Marine Technology, Tokyo University of Marine Science and Technology, 2-1-6 Ecyuujima Koutou, Japan
  • Kubo Mikio
    Faculty of Marine Technology, Tokyo University of Marine Science and Technology, 2-1-6 Ecyuujima Koutou, Japan

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  • Supply Chain Optimization : A Survey : Models, Algorithms, Decision Support Systems, and Applications
  • <b>Models, Algorithms, Decision Support Systems, and A</b><b>pplications </b>

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Abstract

<p>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.</p>

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