- 著者
- Yuki KINOSHITA Tetsuo YAMADA Surendra M. GUPTA Aya ISHIGAKI Masato INOUE
- 出版者
- 一般社団法人 日本機械学会
- 雑誌
- Journal of Advanced Mechanical Design, Systems, and Manufacturing (ISSN:18813054)
- 巻号頁・発行日
- vol.10, no.3, pp.JAMDSM0052-JAMDSM0052, 2016 (Released:2016-07-01)
- 参考文献数
- 22
- 被引用文献数
- 8
For green supply chains, it is essential to disassemble and recycle end-of-life (EOL) assembled products for material circulation. In order to establish disassembly plants environmentally friendly and economical manner, a disassembly parts selection is often carried out. Each part has a different recycling rate and cost, and all parts have precedence relationships among disassembly tasks. Igarashi et al. (2014) [International Journal of Industrial Engineering and Management Systems, Vol.13, No.1, pp.52-66] proposed a disassembly parts selection method that is carried out in an environmentally friendly and economical manner with non-destructive or destructive disassembly with integer programming with ε constraint. However, calculated efforts are required to achieve optimum solutions for the ε constraint method. On the other hand, goal programming is well known as an effective way to solve multi-criteria decision-making problems. This study proposes a bi-objective disassembly parts selection with recycling rate and cost using goal programming, and analyzes multiple types of EOL assembled products and disassembly parts selection. First, an environmentally friendly and economical disassembly parts selection is addressed using a 3D-CAD and Recyclability Evaluation Method (REM) developed by Hitachi Ltd. Next, the environmentally friendly and economical disassembly parts selection is formulated with goal programming. Finally, a case study is quantitatively discussed by comparing different types of assembled products and goal programming parameters. It is demonstrated that the proposal method by goal programming in this study finds the same solutions with the lower number of numerical experiments as that with the ε constraint method.
- 著者
- Kento IGARASHI Tetsuo YAMADA Masato INOUE
- 出版者
- 公益社団法人 日本経営工学会
- 雑誌
- 日本経営工学会論文誌 (ISSN:13422618)
- 巻号頁・発行日
- vol.64, no.2E, pp.293-302, 2013 (Released:2013-11-22)
- 参考文献数
- 14
To promote a closed-loop supply chain for assembled products, disassembly systems are required to recycle End-of-Life (EOL) products. To increase the total recycling rate of products in disassembly systems, it is desirable to keep rather than destroy parts since disassembly costs are increasing. Therefore, a disassembly system design should be considered based on selecting parts for disassembly in order to minimize the recycling cost while maintaining the recycling rate. On the other hand, since the precedence relationships among disassembly tasks also change according to the parts selection, it is required to consider allocation of the tasks in designing a disassembly line. For the disassembly system design, it is also necessary to have disassembled product information such as the recycling rate and profit of each part, disassembly task times and precedence relationships among the disassembly tasks. This study proposes a disassembly system design with environment and economic parts selection, which balances the recycling rate and cost using the Recyclability Evaluation Method (REM) developed by Hitachi, Ltd. The first step is to optimize the environmental and economic parts selection with integer programming, and the second step is line balancing to reduce the number of stations. Next, a design example is shown and discussed by preparing a 3D-CAD model for a computer and a cleaner. Finally, product and line evaluations are carried out by comparing four scenarios; namely 1) all parts disassembled, 2) maximum recycling rate, 3) minimum recycling cost and 4) balance of recycling rate and cost. It is demonstrated that the recycling cost is reduced as a result of maintaining a higher recycling rate and that the number of work stations and the smoothness index are also improved through use of environmental and economic parts selection.