2015.12.01 10:36
author | Young-woo Kim |
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2nd author | Jinwoo Park |
presenter | Young-woo Kim |
info | 27th European Conference on Operational Research |
year | 2015 |
category | IC |
start / end date | 2015.07.10 ~ 2015.07.13 |
city / nation | Glasgow, Scotland |
학회 | EURO |
keywords | Production Planning, Internet-of-Things, Closed-loop Supply Chain Management, Industrial Ecology |
abstract | Efficient operation of a closed-loop supply chain should be supported by reasonably good forward and reverse processes. However there exists the chronic problem of uncertainty about returned end of life (EOL) products with regard to timing, quality and quantity, which hin-ders the efficient operation of closed-loop supply chain. In this study, we present a frame-work of lifecycle data management system which gathers data of products and components under the Internet-of-Things (IoT) scenario. The proposed system enables information sharing among all entities in the supply chain and enables us to grasp the actual condition of the re-turned products with good accuracy. Thereby the proposed system helps us to improve the process for disassembly and product disposition to minimize cost of the total system. First, we develop a mathematical model of a closed-loop supply chain within the IoT-based infor-mation sharing environment consisting of a supplier, a manufacturer, and a reprocessing facili-ty in 3 different markets, namely original, refurbish and spare parts. Next we address a multi-period production planning model for multiple products consisting of multiple components with the objective of minimizing the sum of all incurred costs from the standpoint of a manu-facturer. We also analyze the behavioral characteristics of the model and conduct experiments to justify the proposed scheme. |
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