REFERENCES
1. Wang L, Guo Y, Cao J, Zhang Z, Xia X, Zhao H. Remanufacturing service combination and optimization for generalized growth of retired mechanical products. J Mech Eng 2023;59:339-54. Available from: http://www.cjmenet.com.cn/CN/10.3901/JME.2023.07.339.[Last accessed on 29 Nov 2023]
2. Li F, Li Z, Wang L, et al. Review on ICE remanufacture with additive repair technology. Chin Mech Eng 2019;30:1119-27,33. Available from: http://qikan.cmes.org/zgjxgc/EN/10.3969/j.issn.1004-132X.2019.09.015.[Last accessed on 29 Nov 2023]
3. Xu B, Dong S, Zhu S, Shi P. Prospects and developing of remanufacture forming technology. J Mech Eng 2012;48:96-105. Available from: http://www.cjmenet.com.cn/CN/abstract/abstract3990.shtml.[Last accessed on 29 Nov 2023]
4. Wang J, Gao S, Yang Y, Bao Y, Zhang Y. Review of the remanufacturability evaluation of mechanical equipment. J Mech Eng 2022;58:221-34.
5. Cao H, Du Y. Connotation and technology system framework of in-service remanufacturing of machine tools. Chin Mech Eng 2018;29:2357-63.
6. Zhang H, Li M, Liu W, Yuan Y. A review of key fundamental scientific problems for mechanical equipment remanufacturing. Chin Mech Eng 2018;29:2581-9.
7. Liu C, Zhu Q, Wei F, et al. A review on remanufacturing assembly management and technology. Int J Adv Manuf Technol 2019;105:4797-808.
8. Shi J, Zhu Q. A research into the mechanism of how multi-source quality information influences online sales of remanufactured products. Manage Rev 2021;33:199-208. Available from: https://journal05.magtech.org.cn/jweb_glpl/EN/Y2021/V33/I11/199. [Last accessed on 27 Nov 2023]
9. Zhao C, Wang D, Younas A, Zhang B. Coordination of closed-loop supply chain considering loss-aversion and remanufactured products quality control. Ann Oper Res 2022:1-24.
10. Guide VDR Jr, Jayaraman V, Linton JD. Building contingency planning for closed-loop supply chains with product recovery. J Oper Manag 2003;21:259-79.
11. Mukhopadhyay SK, Ma H. Joint procurement and production decisions in remanufacturing under quality and demand uncertainty. Int J Prod Econ 2009;120:5-17.
12. Liu M, Liu C, Xing L, Mei F, Zhang X. Study on a tolerance grading allocation method under uncertainty and quality oriented for remanufactured parts. Int J Adv Manuf Technol 2016;87:1265-72.
13. Kim JM, Zhou YD, Lee DH. Priority scheduling to minimize the total tardiness for remanufacturing systems with flow-shop-type reprocessing lines. Int J Adv Manuf Technol 2017;91:3697-708.
14. Ge M, Liu C, Liu M. The online quality control methods for the assembling of remanufactured engines’ cylinder block and cover under uncertainty. Int J Adv Manuf Technol 2014;74:225-33.
15. Zahraei SM, Teo CC. Optimizing a recover-and-assemble remanufacturing system with production smoothing. Int J Prod Econ 2018;197:330-41.
16. Huang M, Yi P, Shi T, Guo L. A modal interval based method for dynamic decision model considering uncertain quality of used products in remanufacturing. J Intell Manuf 2018;29:925-35.
17. Liao H, Deng Q, Wang Y, Guo S, Ren Q. An environmental benefits and costs assessment model for remanufacturing process under quality uncertainty. J Clean Prod 2018;178:45-58.
18. Huang W, Jiang Z, Wang T, Wang Y, Hu X. Remanufacturing scheme design for used parts based on incomplete information reconstruction. Chin J Mech Eng 2020;33:41.
19. Wang Y, Mendis GP, Peng S, Sutherland JW. Component-oriented reassembly in remanufacturing systems: managing uncertainty and satisfying customer needs. J Manuf Sci Eng 2019;141:021005.
20. Reddy KN, Kumar A, Velaga NR. Scenario-based two-stage stochastic programming for a hybrid manufacturing-remanufacturing system with the uncertainty of returns, quality and demand. Sādhanā 2021;46:59.
21. Cai X, Lai M, Li X, Li Y, Wu X. Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels. Eur J Oper Res 2014;233:374-82.
22. Muruganantham R, Annamalaisundaram S, Sangeetha D, Boopathy SR. Process optimization and remanufacturability analysis of fuel cell - Membrane electrode assembly with process simulation. J Fuel Cell Sci Technol 2012;9:061002.
23. Liu M, Sun Z, Ge M, Wang X, Wang Q. Remanufacturing quality optimization method of complex mechanical products based on assembly deviation degree. Chin Mech Eng 2014;25:1473-7,97. Available from: http://www.cmemo.org.cn/EN/Y2014/V25/I11/1473. [Last accessed on 27 Nov 2023]
24. Liu M, Xing L, Liu C, Zhang M. Online tolerance optimization for remanufactured complex mechanical product assembly processes. Chin Mech Eng 2015;26:55-62. Available from: http://www.cmemo.org.cn/EN/Y2015/V26/I1/55. [Last accessed on 27 Nov 2023]
25. Shen W, Pang K, Liu C, Ge M, Zhang Y, Wang X. The quality control method for remanufacturing assembly based on the Jacobian-torsor model. Int J Adv Manuf Technol 2015;81:253-61.
26. Hu J, Zhang Y, Ge M, Liu M, Liu C, Wang X. Optimal control method on assembly precision for a remanufactured car engine based on state space model. Assem Autom 2016;36:460-72.
27. Liu C, Zhu Q, Wei F, et al. An integrated optimization control method for remanufacturing assembly system. J Clean Prod 2019;248:119261.
28. Luh PB, Yu D, Soorapanth S, Khibnik AI, Rajamani R. A Lagrangian relaxation based approach to schedule asset overhaul and repair services. IEEE Trans Autom Sci Eng 2005;2:145-57.
29. Chen Y, Jiang Z, Zhu S, Zhang H. Optimization method for remanufacturing tolerance of electromechanical products with process condition constraint. Comput Integr Manuf Syst 2023;29:1327-35.
30. Geng Z, Bidanda B. Tolerance estimation and metrology for reverse engineering based remanufacturing systems. Int J Prod Res 2022;60:2802-15.
31. Wang Z, Jiang X, Liu W, Shi M, Yang S, Yang G. Precision prediction and error propagation model of remanufacturing machine tool assembly process. Comput Integr Manuf Syst 2021;27:1300-8.
32. Sun H. Key technology of main drive assembly and inspection technology of meshing quality of gear pair during TBM remanufacturing. Tunnel Construction 2020;40:890-7.
33. Li W, Zhang C, Liu C, Liu X. Error propagation model and optimal control method for the remanufacturing assembly. J Intell Fuzzy Syst 2022;42:2533-47.
34. Liu Q, Song J, Lv J, Tang O, Zhang Z. Mixed-flow assembly line balancing with uncertain assembly times in remanufacturing. IFAC-PapersOnLine 2022;55:97-102.
35. Kim MG, Yu JM, Lee DH. Scheduling algorithms for remanufacturing systems with parallel flow-shop-type reprocessing lines. Int J Prod Res 2015;53:1819-31.
36. Liu M, Liu C, Xing L, Zhang X, Wang Q, Wang X. Quality oriented assembly grouping optimal allocation method for remanufactured complex mechanical products. Chin J Mech Eng 2014;50:150-5.
37. Liu M, Liu C, Zhu Q. Optional classification for reassembly methods with different precision remanufactured parts. Assem Autom 2014;34:315-22.
38. Su B, Huang X, Ren Y, Wang F, Xiao H, Zheng B. Research on selective assembly method optimization for construction machinery remanufacturing based on ant colony algorithm. Chin J Mech Eng 2017;53:60-8.
39. Jiang X, Wang W, Zhang H, Zhang K, Li L. Optimal selective assembly method for remanufacturing product considering quality, cost and resource utilization. Chin J Mech Eng 2019;55:180-8.
40. Xue C, Jiang Z, Zhang X, Wang H. Multi-objective optimization model and application of components reuse combination for used mechanical equipment. Chin J Mech Eng 2017;53:76-85.
41. Chen Y, Jiang Z, Zhu S, Zhang H. Research on reassembly strategy of used mechanical equipment components based on non-cooperative game. Chin J Mech Eng 2021;57:203-12.
42. Guiras Z, Turki S, Rezg N, Dolgui A. Optimization of two-level disassembly/remanufacturing/assembly system with an integrated maintenance strategy. Appl Sci 2018;8:666.
43. Xing S, Jiang Z, Zhu S, Zhang H. Research on optimization method for parts selection of remanufactured products under dimensional accuracy constraints. Chin J Mech Eng 2022;58:221-8.
44. Yin L, Yang F, Zhu F, Fang L. Study on selective assembly of remanufacturing parts to be assembled based on NSGA-III. J Mach Design 2022;39:53-60.
45. Vasanthakumar C, Vinodh S, Ramesh K. Application of interpretive structural modelling for analysis of factors influencing lean remanufacturing practices. Int J Prod Res 2016;54:7439-52.
46. Kurilova-Palisaitiene J, Sundin E, Poksinska B. Remanufacturing challenges and possible lean improvements. J Clean Prod 2018;172:3225-36.
47. Fu Y, Zhou MC, Guo X, Qi L. Stochastic multi-objective integrated disassembly-reprocessing-reassembly scheduling via fruit fly optimization algorithm. J Clean Prod 2021;278:123364.
48. Ahn HD, Lee DH, Kim HJ. Solution algorithms for dynamic lot-sizing in remanufacturing systems. Int J Prod Res 2011;49:6729-48.
49. Reddy KN, Kumar A. Capacity investment and inventory planning for a hybrid manufacturing-remanufacturing system in the circular economy. Int J Prod Res 2021;59:2450-78.
50. Guo J, Pu Z, Du B, Li Y. Multi-objective optimisation of stochastic hybrid production line balancing including assembly and disassembly tasks. Int J Prod Res 2022;60:2884-900.
51. Wang T, Liao B, Yang C. Research on big-data-driven green intelligent manufacturing mode and the implementation design. JCQU 2020;43:64-73.
52. Xu B, Xia D, Tan J, Dong S. Status and development of intelligent remanufacturing in China. Chin Surf Eng 2018;31:1-13.
53. Ketzenberg ME, Souza GC, Guide Jr VDR. Mixed assembly and disassembly operations for remanufacturing. Prod Oper Manag 2003;12:320-35.
54. Liu M, Wang Q, Zhao Z, Ling L. Dynamic assembly process quality control system for mechanical products remanufacturing. Comput Integr Manuf Syst 2014;20:817-24.
55. Liu D, Huang H, Wang B, Zhou T, Luo S. Operation paradigm for remanufacturing shop-floor based on digital twin. Comput Integr Manuf Syst 2019;25:1515-27.
56. Song B, Jiang X, Wang S, Liu Q, Yu T. The promotion and application of green remanufacturing: a case study in a machine tool plant. Environ Sci Pollut Res 2023;30:40870-85.
57. Wurster M, Michel M, May MC, Kuhnle A, Stricker N, Lanza G. Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning. J Intell Manuf 2022;33:575-91.
58. Andersen AL, Brunoe TD, Bockholt MT, et al. Changeable closed-loop manufacturing systems: challenges in product take-back and evaluation of reconfigurable solutions. Int J Prod Res 2022;61:839-58.
59. Liu C, Chen J, Wang X. Quantitative evaluation model of the quality of remanufactured product. IEEE Trans Eng Manag 2023:1-12.
60. Liu C, Cai W, Zhang C, Wei F. Data-driven intelligent control system in remanufacturing assembly for production and resource efficiency. Int J Adv Manuf Technol 2023;128:3531-44.
61. Liu C, Chen J, Cai W. Data-driven remanufacturability evaluation method of waste parts. IEEE Trans Ind Inform 2021;18:4587-95.
