Top > IJAT > Disassembly Reuse Part Selection for Recovery Rate and Cost wi ...

single-au.php

IJAT Vol.12 No.6 pp. 822-832
doi: 10.20965/ijat.2018.p0822
(2018)

Paper:

Views over last 60 days: 1,069

Disassembly Reuse Part Selection for Recovery Rate and Cost with Lifetime Analysis

Shota Hasegawa*, Yuki Kinoshita*, Tetsuo Yamada*,†, Masato Inoue**, and Stefan Bracke***

*Department of Informatics, The University of Electro-Communications
1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan

†Corresponding author

**Department of Mechanical Engineering Informatics, Meiji University, Kawasaki, Japan

***Chair of Reliability Engineering and Risk Analytics, University of Wuppertal, Wuppertal, Germany

Received:
April 28, 2018
Accepted:
August 31, 2018
Published:
November 5, 2018
Creative Commons License
Keywords:
life expectancy, recyclability evaluation method, straight line depreciation method, ϵ constraint method, integer programming
Abstract

The depletion of natural resources is a critical environmental issue, and the recovery, including reuse and recycling, of end-of-life assembled products is the key to reducing the use of natural resources. However, in order to reuse or recycle an assembled product, it is essential to consider the life expectancy or material type and the weight of the parts in the product. In addition, because the assembled products comprise various parts, manual disassembly is required, which entails high costs. To recover assembled products in an environmentally friendly and economical manner, part selection for disassembly is required. A part selection method is proposed with three selection types: reuse, recycling, and disposal. First, data-set preparation is addressed. Second, the method for selecting the disassembly parts using integer programming and the ϵ constraint method is explained. Finally, numerical experiments are conducted using the proposed part selection method with a computer as a case study. Lifetime changes of the parts/product are then analyzed.

Cite this article as:
S. Hasegawa, Y. Kinoshita, T. Yamada, M. Inoue, and S. Bracke, “Disassembly Reuse Part Selection for Recovery Rate and Cost with Lifetime Analysis,” Int. J. Automation Technol., Vol.12 No.6, pp. 822-832, 2018.
Data files:
References
  1. [1] United Nations, “Sustainable development knowledge platform.” https://sustainabledevelopment.un.org/topics/climatechange [Accessed April 30, 2018]
  2. [2] K. Halada, K. Iijima, M. Shimada, and N. Katagiri, “A Possibility of Urban Mining in Japan,” Japan Institute of Metals and Materials, Vol.3, pp. 151-160, 2009 (in Japanese).
  3. [3] Lifecycle Design Committee, “Inverse Manufacturing Forum. Inverse Manufacturing and Lifecycle Design – For a Creation of a Recycling Society,” Maruzen, 2002 (in Japanese).
  4. [4] A. J. D. Lambert and S. M. Gupta, “Disassembly Modeling for Assembly, Maintenance Reuse, and Recycling,” CRC Press, 2005.
  5. [5] S. Smith, L. Y. Hsu, and G. C. Smith, “Partial Disassembly Sequence Planning Based on Cost-Benefit Analysis,” J. of Cleaner Production, Vol.139, pp. 729-739, 2016.
  6. [6] S. Okumura, Y. Matsumoto, Y. Hatanaka, and K. Ogohara, “Simultaneous Evaluation of Environmental Impact and Incurred Cost on Selection of End-Of-Life Products Recovery Options,” Int. J. Automation Technol., Vol.10, No.5, pp. 699-707, 2016.
  7. [7] M. Matsumoto, N. Mishima, and S. Kondoh, “Tele-Inverse Manufacturing – An International E-Waste Recycling Proposal,” Int. J. Automation Technol., Vol.3, No.1, pp. 11-19, 2009.
  8. [8] T. Yamada, “Design Issues for Inverse Manufacturing Systems in Japanese Cases,” Northeast Decision Sciences Institute, pp. 551-556, 2008.
  9. [9] K. Igarashi, T. Yamada, and M. Inoue, “2-Stage Optimal Design and Analysis for Disassembly System with Environmental and Economic Parts Selection Using the Recyclability Evaluation Method,” Int. J. of Industrial Engineering and Management Systems, Vol.13, No.1, pp. 52-66, 2014.
  10. [10] Y. Umeda, T. Daimon, and S. Kondoh, “Life Cycle Option Selection based on the Difference of Value and Physical Lifetimes for Life Cycle Design,” Proc. of Int. Conf. on Engineering Design 2007, pp. 145-146, 2007.
  11. [11] M. Eskandarpour, P. Dejax, J. Miemczyk, and O. Péton, “Sustainable Supply Chain Network Design: an Optimization-Oriented Review,” Omega, Vol.54, pp. 11-32, 2015.
  12. [12] H. Kobayashi, “Product Life Cycle Planning,” Ohmsha, pp. 1-3, pp. 35-96, 2003 (in Japanese).
  13. [13] F. S. Hiller and G. J. Lieberman, “Introduction to Operations Research,” McGraw-Hill, pp. 478-546, 2005.
  14. [14] P. Mitrouchev, C. G. Wang, L. X. Lu, and G. Q. Li, “Selective Disassembly Sequence Generation based on Lowest Level Disassembly Graph Method,” The Int. J. of Advanced Manufacturing Technology, Vol.80, No.1, pp. 141-159, 2015.
  15. [15] J. Dong, P. Gibson, and G. Arndt, “Disassembly Sequence Generation in Recycling Based on Parts Accessibility and End-of-life Strategy,” Proc. of the Institution of Mechanical Engineers, Part B: J. of Engineering Manufacture, Vol.221, pp. 1079-1085, 2007.
  16. [16] J. L. Rickli and J. A. Camelio, “Partial Disassembly Sequencing Considering Acquired End-Of-Life Product Age Distributions,” Int. J. of Production Research, Vol.52, No.24, pp. 7496-7512, 2014.
  17. [17] Y. Ren, G. Tian, F. Zhao, D. Yu, and C. Zhang, “Selective Cooperative Disassembly Planning Based on Multi-Objective Discrete Artificial Bee Colony Algorithm,” Engineering Applications of Artificial Intelligence, Vol.64, pp. 415-431, 2017.
  18. [18] J. L. Rickli and J. A. Camelio, “Multi-Objective Partial Disassembly Optimization Based on Sequence Feasibility,” J. of Manufacturing Systems, Vol.32, pp. 281-293, 2013.
  19. [19] K. Seo, J. Park, and D. Jang, “Optimal Disassembly Sequence Using Genetic Algorithms Considering Economic and Environmental Aspects,” Int. J. of Advanced Manufacturing Technology, Vol.18, No.5, pp. 371-380, 2001.
  20. [20] R. J. Riggs, X. Jin, and J. Hu, “Two-Stage Sequence Generation for Partial Disassembly of Products with Sequence Dependent Task Times,” Procedia CIRP, Vol.29, pp. 698-703, 2015.
  21. [21] T. C. Kuo, “Waste Electronics and Electrical Equipment Disassembly and Recycling Using Petri Net Analysis: Considering the Economic Value and Environmental Impacts,” Computers and Industrial Engineering, Vol.65, No.1, pp. 54-64, 2003.
  22. [22] S. Harivardhini, K. M. Krishna, and A. Chakrabarti, “An Integrated Framework Forsupporting Decision Making During Early Design Stages on End-Of-Life Disassembly,” J. of Cleaner Production, Vol.168, No.1, pp. 558-574, 2017.
  23. [23] T. Akahori, Y. Matsuno, Y. Adachi, N. Yamamoto, Y. Hamatsuka, and T. Nishi, “Application of REM (Recyclability evaluation method) to Home Electric Appliances: Evaluation of Recycling Rates and Cost,” J. of the Japan Society of Waste Management Experts, Vol.19, No.1, pp. 44-50, 2008 (in Japanese).
  24. [24] Y. Hiroshige, T. Nishi, and T. Ohashi, “Recyclability evaluation method,” Proc. of the ASME 2002 Int. Mechanical Engineering Congress and Exposition, New Orleans, Louisiana, USA, pp. 835-839, 2002.
  25. [25] Hitachi, Ltd., “EcoAssist” (in Japanese). http://www.ecoassist.com/HTML_n/option/rem/rem_tr/ppframe.htm [Accessed April 27, 2018]
  26. [26] C. M. Rose and K. Ishii, “Product End-Of-Life Strategy Categorization Design Tool,” J. of Electronics Manufacturing, Vol.9, No.1, pp. 41-51, 1999.
  27. [27] K. Schoenebeck and M. Holtzman, “Interpreting and Analyzing Financial Statements,” Pearson, 2013.
  28. [28] I. Takahashi, I. Ando, Y. Itou, and K. Amei, “Development of a Long Life Three Phase Flywheel UPS Using an Electrolytic Capacitor-Less Converter/Inverter,” Trans. of IEEJ on Industry Applications, Vol.118, pp. 173-178, 1998 (in Japanese).
  29. [29] Kakaku.com, “Computer Parts” (in Japanese). http://kakaku.com/pc/ [Acccessed November 6, 2016]
  30. [30] S. Vadde, S. V. Kamarthi, and S. M. Gupta, “Pricing of End-Of-Life Items with Obsolescence,” IEEE Int. Symp. on Electronics and the Environment, pp. 156-160, 2006.
  31. [31] H. Hiraoka and A. Tanaka, “Simulation for Reuse of Mechanical Parts with Network Agents,” Int. J. Automation Technol., Vol.3, No.1, pp. 77-83, 2009.
  32. [32] Y. Kinoshita, T. Yamada, S. M. Gupta, A. Ishigaki and M. Inoue, “Analysis of Cost Effectiveness by Material Type for CO2 Saving and Recycling Rates in Disassembly Parts Selection Using Goal Programming” J. of Advanced Mechanical Design, Systems, and Manufacturing, Vol.12, No.3, pp. 1-18, 2018.
  33. [33] GLPK – GNU Project. http://www.gnu.org/software/glpk/ [Accessed April 27, 2018]

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 19, 2024