Abstract
Circular economy is a promising business model that promotes sustainable development by closing material loops. Making progress toward a circular economy requires the recovery of valuable materials and components from end-of-use products and subsequent reuse of them in some form, thus maximizing the utility of components and materials. Currently, end-of-use products value recovery is carried out without a rational planning, causing the loss of the recoverable value embedded in material and components. To address this problem, dismantling planning and appropriate technologies should be employed to improve the economic performance of end-of-use products value recovery. In this paper, a two-stage dismantling planning method is proposed to find a profitable end-of-use strategy. In the first stage of this method, disassembly optimization model is constructed and can be executed to obtain the optimal disassembly plan allowing maximum preservation of component function value, in a preservative disassembly scenario. To speed up the modeling, a method for automatic generation of AND/OR graph—a structure of incorporating all possible disassembly operations and associated subassemblies, is presented. In the second stage of the method, in order to increase profitability, Pareto analysis is employed to identify bottlenecks to disassembly and automated/destructive technologies are considered to remove the bottlenecks. A hard disk drive serves as a case study to illustrate the suggested method.
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References
Afrinaldi F, Saman MZM, Shaharoun AM (2010) EDAS: software for end-of-life disassembly analysis. Int J Sustain Des 1:257–277. doi:10.1504/IJSDES.2010.036971
Arnold BC (2015) Pareto distribution. Wiley, New York. doi:10.1002/9781118445112.stat01100.pub2
Behdad S, Kwak M, Kim H, Thurston D (2010) Simultaneous selective disassembly and end-of-life decision making for multiple products that share disassembly operations. J Mech Des 132:1–9. doi:10.1115/1.4001207
Darcy JW, Bandara HD, Mishra B, Blanplain B, Apelian D, Emmert MH (2013) Challenges in recycling end-of-life rare earth magnets. JOM 65:1381–1382. doi:10.1007/s11837-013-0783-0
Das SK, Yedlarajiah P, Narendra R (2000) An approach for estimating the end-of-life product disassembly effort and cost. Int J Prod Res 38:657–673
De Fazio T, Whitney D (1987) Simplified generation of all mechanical assembly sequences. IEEE J Rob Autom 3:640–658. doi:10.1109/JRA.1987.1087132
Du X, Graedel TE (2011) Global in-use stocks of the rare earth elements: a first estimate. Environ Sci Technol 45:4096–4101. doi:10.1021/es102836s
Failli F, Dini G (2001) Optimization of disassembly sequences for recycling of end-of-life products by using a colony of ant-like agents. Eng Intell Syst. doi:10.1007/3-540-45517-5_70
Feldmann K, Trautner S, Meedt O (1999) Innovative disassembly strategies based on flexible partial destructive tools. Ann Rev Control 23:159–164. doi:10.1016/S1367-5788(99)90079-2
Geng Y, Sarkis J, Ulgiati S (2016). Sustainability, wellbeing, and the circular economy in China and worldwide. Pushing the boundaries of scientific research, 120
Guo X, Liu S, Zhou M, Tian G (2016) Disassembly sequence optimization for large-scale products with multiresource constraints using scatter search and Petri nets. IEEE Trans Cybern 46:2435–2446
Harivardhini S, Chakrabarti A (2016) A new model for estimating end-of-life disassembly effort during early stages of product design. Clean Technol Environ Policy 18:1585–1598. doi:10.1007/s10098-016-1142-y
Harjula T, Rapoza B, Knight WA, Boothroyd G (1996) Design for disassembly and the environment. CIRP Ann Manuf Technol 45:109–114. doi:10.1016/S0007-8506(07)63027-3
Hatch GP (2012) Dynamics in the global market for rare earths. Elements 8:341–346. doi:10.2113/gselements.8.5.341
Homem de Mello LS, Sanderson AC (1990) AND/OR graph representation of assembly plans. IEEE Trans Rob Autom 6:88–199. doi:10.1109/70.54734
Huang YM, Liao YC (2009) Disassembly processes with disassembly matrices and effects of operations. Assem Autom 29:348–357. doi:10.1108/01445150910987763
Huang HHT, Wang MH, Johnson MR (2000) Disassembly sequence generation using a neural network approach. J Manuf Syst 19:73–82. doi:10.1016/S0278-6125(00)80001-1
Hui W, Dong X, Guanghong D (2008) A genetic algorithm for product disassembly sequence planning. Neurocomputing 71:2720–2726. doi:10.1016/j.neucom.2007.11.042
Kara S, Pornprasitpol P, Kaebernick H (2006) Selective disassembly sequencing: a methodology for the disassembly of end-of-life products. CIRP Ann Manuf Technol 55:37–40. doi:10.1016/S0007-8506(07)60361-8
Kingsnorth DJ (2009) The rare earths market: can supply meet demand in 2014. Presentation at Prospectors and Developers of Association of Canada, Toronto, March
Kroll E, Hanft TA (1998) Quantitative evaluation of product disassembly for recycling. Res Eng Des 10:1–14. doi:10.1007/BF01580266
Kuo TC, Zhang HC, Huang SH (2000) Disassembly analysis for electromechanical products: a graph-based heuristic approach. Int J Prod Res 38:993–1007. doi:10.1080/002075400188988
Lambert AJ (2003) Disassembly sequencing: a survey. Int J Prod Res 41:3721–3759. doi:10.1080/0020754031000120078
Li J, Zhang HC, Gonzalez MA, Yu S (2008) A multi-objective fuzzy graph approach for modular formulation considering end-of-life issues. Int J Prod Res 46:4011–4033. doi:10.1080/00207540601050376
Li C, Liu F, Cao H, Wang Q (2009) A stochastic dynamic programming based model for uncertain production planning of re-manufacturing system. Int J Prod Res 47:3657–3668. doi:10.1080/00207540701837029
Mathew A, Rao CSP (2010) A CAD system for extraction of mating features in an assembly. Assem Autom 30:142–146. doi:10.1108/01445151011029772
Maynard HB, Stegemerten GJ, Schwab JL (1948) Methods-time measurement. McGraw-Hill, New York
Meng K, Lou P, Peng X, Prybutok V (2016) An improved co-evolutionary algorithm for green manufacturing by integration of recovery option selection and disassembly planning for end-of-life products. Int J Prod Res 54:5567–5593
Ong NS, Wong YC (1999) Automatic subassembly detection from a product model for disassembly sequence generation. Int J Adv Manuf Technol 15:425–431. doi:10.1007/s001700050086
Reap J, Bras B (2002) Design for disassembly and the value of robotic semi-destructive disassembly. ASME 2002 Int Des Eng Tech Conf Comput Inf Eng Conf. doi:10.1115/DETC2002/DFM-34181
Singh J, Ordoñez I (2016) Resource recovery from post-consumer waste: important lessons for the upcoming circular economy. J Cleaner Prod 134:342–353
Smith S, Hsu LY, Smith GC (2016) Partial disassembly sequence planning based on cost-benefit analysis. J Cleaner Prod 139:729–739
Sprecher B, Kleijn R, Kramer GJ (2014) Recycling potential of neodymium: the case of computer hard disk drives. Environ Sci Technol 48:9506–9513. doi:10.1021/es501572z
Sutherland JW, Gunter KL, Weinmann KJ (2002) A model for improving economic performance of a demanufacturing system for reduced product end-of-life environmental impact. CIRP Ann Manuf Technol 51:45–48. doi:10.1016/S0007-8506(07)61462-0
Teunter RH (2006) Determining optimal disassembly and recovery strategies. Omega 34:533–537. doi:10.1016/j.omega.2005.01.014
Vinodh S, Nachiappan N, Kumar RP (2012) Sustainability through disassembly modeling, planning, and leveling: a case study. Clean Technol Environ Policy 14:55–67. doi:10.1007/s10098-011-0361-5
Xanthopoulos A, Iakovou E (2009) On the optimal design of the disassembly and recovery processes. Waste Manag 29:1702–1711. doi:10.1016/j.wasman.2008.11.009
Zussman E, Zhou M (1999) A methodology for modeling and adaptive planning of disassembly processes. IEEE Trans Rob Autom 15:190–194
Acknowledgements
The work is supported by the Critical Materials Institute, an Energy Innovation Hub funded by the US Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office (Grant Number AL-12-350-001). Liang Cong was supported by this subcontract as a research assistant and developed the method to recover value of end-of-use products. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the US Department of Energy. Also, authors acknowledge that ASME grants the permission of republication of all or any content from the conference paper “A Method to Optimize Value Recovery From End-of-Life Products” (doi:10.1115/MSEC2016-8682).
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Cong, L., Zhao, F. & Sutherland, J.W. Value recovery from end-of-use products facilitated by automated dismantling planning. Clean Techn Environ Policy 19, 1867–1882 (2017). https://doi.org/10.1007/s10098-017-1370-9
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DOI: https://doi.org/10.1007/s10098-017-1370-9