Optimization of remanufacturing process routes oriented toward eco-efficiency
Hong PENG, Han WANG, Daojia CHEN
Optimization of remanufacturing process routes oriented toward eco-efficiency
Remanufacturing route optimization is crucial in remanufacturing production because it exerts a considerable impact on the eco-efficiency (i.e., the best link between economic and environmental benefits) of remanufacturing. Therefore, an optimization model for remanufacturing process routes oriented toward eco-efficiency is proposed. In this model, fault tree analysis is used to extract the characteristic factors of used products. The ICAM definition method is utilized to design alternative remanufacturing process routes for the used products. Afterward, an eco-efficiency objective function model is established, and simulated annealing (SA) particle swarm optimization (PSO) is applied to select the manufacturing process route with the best eco-efficiency. The proposed model is then applied to the remanufacturing of a used helical cylindrical gear, and optimization of the remanufacturing process route is realized by MATLAB programming. The proposed model’s feasibility is verified by comparing the model’s performance with that of standard SA and PSO.
remanufacturing / process route optimization / eco-efficiency / simulated particle swarm optimization algorithm / IDEF0
[1] |
Xu B S. Innovation and development of remanufacturing with Chinese characteristics for a new era. China Surface Engineering, 2018, 31(1): 1–6 (in Chinese)
CrossRef
Google scholar
|
[2] |
Xu B S, Li E Z, Zheng H D,
CrossRef
Google scholar
|
[3] |
Liao H, Shi Y, Liu X,
CrossRef
Google scholar
|
[4] |
Shen N, Liao H, Deng R,
CrossRef
Google scholar
|
[5] |
Liao H, Deng Q. A carbon-constrained EOQ model with uncertain demand for remanufactured products. Journal of Cleaner Production, 2018, 199, 334–347
CrossRef
Google scholar
|
[6] |
Behret H, Korugan A. Performance analysis of a hybrid system under quality impact of returns. Computers & Industrial Engineering, 2009, 56(2): 507–520
CrossRef
Google scholar
|
[7] |
Quariguasi-Frota-Neto J, Bloemhof J. An analysis of the eco-efficiency of remanufactured personal computers and mobile phones. Production and Operations Management, 2012, 21(1): 101–114
CrossRef
Google scholar
|
[8] |
Li C B, Feng Y, Du Y B,
CrossRef
Google scholar
|
[9] |
Golinska-Dawson P, Kosacka M, Mierzwiak R,
|
[10] |
Subramoniam R, Huisingh D, Chinnam R B,
CrossRef
Google scholar
|
[11] |
Wang H, Jiang Z G, Zhang X G,
CrossRef
Google scholar
|
[12] |
Jiang Z G, Jiang Y, Wang Y,
CrossRef
Google scholar
|
[13] |
Yazdi M, Nikfar F, Nasrabadi M. Failure probability analysis by employing fuzzy fault tree analysis. International Journal of System Assurance Engineering and Management, 2017, 8(Suppl 2): 1177–1193
CrossRef
Google scholar
|
[14] |
Ang C L, Luo M, Khoo L P,
CrossRef
Google scholar
|
[15] |
Jiang Z, Zhou T, Zhang H Y,
CrossRef
Google scholar
|
[16] |
Zhang X G, Zhang H, Jiang Z G,
CrossRef
Google scholar
|
[17] |
Schaltegger U, Krähenbühl U. Heavy rare-earth element enrichment in granites of the Aar Massif (Central Alps, Switzerland). Chemical Geology, 1990, 89(1–2): 49–63
CrossRef
Google scholar
|
[18] |
Schmidheiny S. Changing Course: A Global Business Perspective on Development and the Environment. Cambridge: MIT Press, 1992
|
[19] |
Huisman J, Stevels A L N, Stobbe I. Eco-efficiency considerations on the end-of-life of consumer electronic products. IEEE International Symposium on Electronics and the Environment, 2009, 27(1): 9–25 doi:10.1109/TEPM.2004.832214
|
[20] |
Kicherer A, Schaltegger S, Tschochohei H,
CrossRef
Google scholar
|
[21] |
Derwall J, Guenster N, Bauer R,
CrossRef
Google scholar
|
[22] |
Kerr W, Ryan C. Eco-efficiency gains from remanufacturing: A case study of photocopier remanufacturing at Fuji Xerox Australia. Journal of Cleaner Production, 2001, 9(1): 75–81
CrossRef
Google scholar
|
[23] |
Bonyadi M R, Michalewicz Z. Particle swarm optimization for single objective continuous space problems: A review. Evolutionary Computation, 2017, 25(1): 1–54
CrossRef
Google scholar
|
[24] |
Gong Y J, Li J J, Zhou Y,
CrossRef
Google scholar
|
[25] |
Li L, Cheng F X, Cheng X Q,
CrossRef
Google scholar
|
[26] |
Chen Y J, Liu D B. An uncertain programming model for manufacturing/remanufacturing hybrid system in reverse logistics environment. Applied Mechanics and Materials, 2013, 288: 251–255 doi:10.4028/www.scientific.net/amm.288.251
|
[27] |
Chatterjee S, Sarkar S, Hore S,
CrossRef
Google scholar
|
[28] |
Jiang P, Ge Y, Wang C. Research and application of a hybrid forecasting model based on simulated annealing algorithm: A case study of wind speed forecasting. Journal of Renewable and Sustainable Energy, 2016, 8: 015501
CrossRef
Google scholar
|
[29] |
World Business Council for Sustainable Development. The business case for sustainable development: Making a difference towards the Earth Summit 2002 and Beyond. Corporate Environmental Strategy, 2002, 9(3): 226–235
CrossRef
Google scholar
|
[30] |
Wang H, Jiang Z G, Zhang H,
CrossRef
Google scholar
|
[31] |
Liao H, Deng Q, Wang Y,
CrossRef
Google scholar
|
[32] |
Liao H, Deng Q, Wang Y. Optimal acquisition and production policy for end-of-life engineering machinery recovering in a joint manufacturing/remanufacturing system under uncertainties in procurement and demand. Sustainability, 2017, 9(3): 338 doi:10.3390/su9030338
|
[33] |
Yu S, Wei Y M, Guo H,
|
/
〈 | 〉 |