INOUE Masato
Department Undergraduate School , School of Science and Technology Position Professor |
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Language | English |
Publication Date | 2014/03 |
Type | Academic Journal |
Title | 2-Stage Optimal Design and Analysis for Disassembly System with Environmental and Economic Parts Selection using Recyclability Evaluation Method |
Contribution Type | Co-authored (other than first author) |
Journal | Industrial Engineering & Management Systems |
Volume, Issue, Page | 13(1),pp.53-67 |
Author and coauthor | Kento Igarashi, Tetsuo Yamada and Masato Inoue |
Details | Promotion of a closed-loop supply chains requires disassembly systems which recycle End-of-Life (EOL) assembled products. To operate the recycling disassembly system, parts selection is environmentally and economically carried out with the non-destructive or destructive disassembly, and the recycling rate of the whole of EOL product is determined. As the number of the disassembled parts increases, the recycling rate basically increases. However, the labor cost also increases and brings lower profit which is the differences between the recovered material prices and the disassembly costs. On the other hand, since the precedence relationships among disassembly tasks of the product also changes with these parts selection, it is required to optimize allocation of the tasks in designing a disassembly line. In addition, as information required for such a design, there are the recycling rate and profit of each part, disassembly task times and a precedence relationships among the disassembly tasks. However, it is difficult to obtain that information in advance before collecting the actual EOL product. This study proposes an optimal disassembly system design with the environmental and economic parts selection which harmonizes the recycling rate and profit using Recyclability Evaluation Method (REM) developed by Hitachi, Ltd. The 1st 2stage is to optimize environmental and economic parts selection with Integer Programming and the 2nd 2stage is to optimize the line balancing with Integer Programming in terms for minimizing the number of stations. The 1st and 2nd stages are generally and mathematically formulized, and the relationships between them are mentioned. |
DOI | 10.7232/iems.2014.13.1.053 |