Abstract
Low parts utilization, high resource consumption, and low profit margins have become the main factors hindering the development of machine tool remanufacturing in China. A machine tool manufacturing company was taken as a case to investigate the improvement of the remanufacturing production line. The remanufacturing workshop and production line of the case enterprise have been completely re-planned, adding remaining life assessment, additive manufacturing, quality monitoring, and reassembly quality control. After applying the new production line, the energy consumption and water consumption of each remanufacturing machine tool were reduced by 29.87 kgce and 0.042 m3, respectively, and the pollutants generated were reduced by 4.352 kg. With the increase in remanufactured machine tool capacity, the part reutilization has increased by 26.9%. Despite satisfactory results, machine remanufacturing still faces many difficulties in China. Combined with case enterprises, the current situation of machine tool remanufacturing in China was discussed, and several suggestions for promoting remanufacturing in Chinese manufacturing companies were put forward.
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References
Abu MY, Jamaludin KR, Abdul Sani AS, Abdullah TA, Wahab DA (2014) Current situation in cleaning process of remanufacturing in Malaysia: a case study, in: Advanced Materials Research. pp. 904–914. https://doi.org/10.4028/www.scientific.net/AMR.845.904
Andrew-Munot M, Ibrahim RN (2013) Development and analysis of mathematical and simulation models of decision-making tools for remanufacturing. Prod Plan Control 24:1081–1100. https://doi.org/10.1080/09537287.2012.654667
Calleja A, Tabernero I, Ealo JA, Campa FJ, Lamikiz A, de Lacalle LNL (2014) Feed rate calculation algorithm for the homogeneous material deposition of blisk blades by 5-axis laser cladding. Int J Adv Manuf Technol 74:1219–1228. https://doi.org/10.1007/s00170-014-6057-3
Cao H, Li H, Cheng H, Luo Y, Yin R, Chen Y (2012) A carbon efficiency approach for life-cycle carbon emission characteristics of machine tools. J Clean Prod 37:19–28. https://doi.org/10.1016/j.jclepro.2012.06.004
Coro A, Macareno LM, Aguirrebeitia J, De Lacalle LNL (2019) A methodology to evaluate the reliability impact of the replacement of welded components by additive manufacturing spare parts. Metals (Basel). 9. https://doi.org/10.3390/met9090932
Du Y, Li C (2014) Implementing energy-saving and environmental-benign paradigm: machine tool remanufacturing by OEMs in China. J Clean Prod. https://doi.org/10.1016/j.jclepro.2013.10.033
Fegade V, Shrivatsava RL, Kale AV (2015) Design for remanufacturing: methods and their approaches, in: Materials Today: Proceedings. pp. 1849–1858. https://doi.org/10.1016/j.matpr.2015.07.130
Ha JH, Woo WS, Roh YH, Lee CM (2017) A study on the development of standardization technology for remanufacturing process of used vertical machining center. J Korean Soc Precis Eng 34:517–524. https://doi.org/10.7736/KSPE.2017.34.8.517
Ikeda A (2017) Remanufacturing of automotive parts in Japanese Market, in: Procedia CIRP. https://doi.org/10.1016/j.procir.2016.11.258
Jiang X, Dai M, Li L, Song B, Zhang H (2018) Quality control method of used product remanufacturing process based on dynamic and non-normal EWMA control charts. Jisuanji Jicheng Zhizao Xitong/Computer Integr Manuf Syst CIMS 24 1171–1178. https://doi.org/10.13196/j.cims.2018.05.011
Jiang X, Song B, Li L, Dai M, Zhang H (2019a) The customer satisfaction-oriented planning method for redesign parameters of used machine tools. Int J Prod Res 57:1146–1160. https://doi.org/10.1080/00207543.2018.1502483
Jiang X, Wang W, Zhang HY, Zhang K, L.L., (2019b) Optimal selective assembly method for remanufacturing product considering quality, cost and resource utilization. J Mech Eng 55:180–188. https://doi.org/10.3901/JME.2019.01.180
Jiang Z, Jiang Y, Wang Y, Zhang H, Cao H, Tian G (2019c) A hybrid approach of rough set and case-based reasoning to remanufacturing process planning. J Intell Manuf. https://doi.org/10.1007/s10845-016-1231-0
Jiang Z, Zhou T, Zhang H, Wang Y, Cao H, Tian G (2016) Reliability and cost optimization for remanufacturing process planning. J Clean Prod 135:1602–1610. https://doi.org/10.1016/j.jclepro.2015.11.037
Jin M, Nie J, Yang F, Zhou Y (2017) The impact of third-party remanufacturing on the forward supply chain: a blessing or a curse? Int J Prod Res 55:6871–6882. https://doi.org/10.1080/00207543.2017.1357860
Jinlong, Wang, Yu Jing, Yang Yuxing, Du Fengming, and Wang Jingsi (2020) Study of the remanufacturing critical threshold and remanufacturability evaluation for FV520B-I blade based on fatigue life and FEA. Engineering Failure Analysis 112. https://doi.org/10.1016/j.engfailanal.2020.104509
Karmakar S, De SK, Goswami A (2018) A pollution sensitive remanufacturing model with waste items: triangular dense fuzzy lock set approach. J Clean Prod 187:789–803. https://doi.org/10.1016/j.jclepro.2018.03.161
Krystofik M, Luccitti A, Parnell K, Thurston M (2018) Adaptive remanufacturing for multiple lifecycles: a case study in office furniture. Resour Conserv Recycl. https://doi.org/10.1016/j.resconrec.2017.07.028
Kurilova-Palisaitiene J, Sundin E, Poksinska B (2018) Remanufacturing challenges and possible lean improvements. J Clean Prod. https://doi.org/10.1016/j.jclepro.2017.11.023
Li X, Li Y, Cai X (2015) Remanufacturing and pricing decisions with random yield and random demand. Comput Oper Res 54:195–203. https://doi.org/10.1016/j.cor.2014.01.005
Liu W, Wu C, Chang X, Chen Y, Liu S (2017) Evaluating remanufacturing industry of China using an improved grey fixed weight clustering method-a case of Jiangsu Province. J Clean Prod. https://doi.org/10.1016/j.jclepro.2016.11.083
Liu Y, Xu BS, Shi PJ, Liu BH (2011) A research on remanufacturing products quality control. Adv Mater Res 314–316:2162–2167. https://doi.org/10.4028/www.scientific.net/AMR.314-316.2162
Low JSC, Ng YT (2018) Improving the economic performance of remanufacturing systems through flexible design strategies: a case study based on remanufacturing laptop computers for the Cambodian market. Bus Strateg Environ. https://doi.org/10.1002/bse.2017
Lu RS, Xu B, Huang HT, Zhang GS, Wu ZX (2013) Application of cleaning technology in the remanufacturing for loader’s axles and transmission box components, in: Appl Mech Mater. https://doi.org/10.4028/www.scientific.net/AMM.397-400.25
Matsumoto M, Yang S, Martinsen K, Kainuma Y (2016) Trends and research challenges in remanufacturing. Int. J. Precis. Eng. Manuf. - Green Technol. https://doi.org/10.1007/s40684-016-0016-4
Shi J, Fan S, Wang Y, Cheng J (2019) A GHG emissions analysis method for product remanufacturing: a case study on a diesel engine. J Clean Prod. https://doi.org/10.1016/j.jclepro.2018.09.200
Song S, Liu M, Ke Q, Huang H (2015) Proactive remanufacturing timing determination method based on residual strength. Int J Prod Res 53:5193–5206. https://doi.org/10.1080/00207543.2015.1012599
Tian G, Fathollahi-Fard AM, Ren Y, Li Z, Jiang X (2022a) Multi-objective scheduling of priority-based rescue vehicles to extinguish forest fires using a multi-objective discrete gravitational search algorithm. Inf Sci 608:578–596. https://doi.org/10.1016/j.ins.2022.06.052
Tian G, Liu Y, Ke H, Chu J (2012) Energy evaluation method and its optimization models for process planning with stochastic characteristics: a case study in disassembly decision-making. Comput Ind Eng 63(3):553–563. https://doi.org/10.1016/j.cie.2011.08.011
Tian G, Yuan G, Aleksandrov A, Zhang T, Li Z, Fathollahi-Fard AM, Ivanov M (2022b) Recycling of spent Lithium-ion Batteries: a comprehensive review for identification of main challenges and future research trends. Sustain Energy Technol Assess 53:102447. https://doi.org/10.1016/j.seta.2022.102447
Tian G, Zhang C, Fathollahi-Fard AM, Li Z, Zhang C, Jiang Z (2022c) An enhanced social engineering optimizer for solving an energy-efficient disassembly line balancing problem based on bucket brigades and cloud theory. IEEE Trans Indust Inform. https://doi.org/10.1109/TII.2022.3193866
Vasanthakumar C, Vinodh S, Vishal AW (2017) Application of analytical network process for analysis of product design characteristics of lean remanufacturing system: a case study. Clean Technol Environ Policy. https://doi.org/10.1007/s10098-016-1293-x
Wang H, Jiang Z, Zhang X, Wang Y, Wang Y (2017) A fault feature characterization based method for remanufacturing process planning optimization. J Clean Prod. https://doi.org/10.1016/j.jclepro.2017.05.178
Wang Y, Chang X, Chen Z, Zhong Y, Fan T (2014) Impact of subsidy policies on recycling and remanufacturing using system dynamics methodology: a case of auto parts in China. J Clean Prod. https://doi.org/10.1016/j.jclepro.2014.03.023
Wang, Xianlin, Wei Luo, Hua Zhang, Binbin Dan, and Fei Li. 2016a. “Energy consumption model and its simulation for manufacturing and remanufacturing systems.” Intl J Adv Manuf Technol 87 (5–8). https://doi.org/10.1007/s00170-015-7057-7.
Wang Y, Jinqiang Hu, Ke Q, Song S (2016b) Decision-making in proactive remanufacturing based on online monitoring. In Procedia CIRP 48:176–181. https://doi.org/10.1016/j.procir.2016.04.081
Xiong Y, Zhao Q, Zhou Y (2016) Manufacturer-remanufacturing vs supplier-remanufacturing in a closed-loop supply chain. Int J Prod Econ 176:21–28. https://doi.org/10.1016/j.ijpe.2016.03.001
Xu BX, Liang XB, Shi PJ et al. (2015) Remanufacturing engineering and its industrial development in China. Surface Engineering & Remanufacturing, 2015(02):16–20. CNKI:SUN:BMZX.0.2015–02–005
Yao J, Zhu S, Cui P (2011) Design for remanufacturing and remanufacturability based on process, in: Advanced Materials Research. pp. 18–21. https://doi.org/10.4028/www.scientific.net/AMR.338.18
Yang S, Raghavendra MRA, Kaminski J, Pepin H (2018) Opportunities for industry 4.0 to support remanufacturing. Appl. Sci. https://doi.org/10.3390/app8071177
Zhang JH, Chen M (2015) Assessing the impact of China’s vehicle emission standards on diesel engine remanufacturing. J Clean Prod. https://doi.org/10.1016/j.jclepro.2015.03.103
Zhang W, He Y (2019) Optimal policies for new and green remanufactured short-life-cycle products considering consumer behavior. J Clean Prod. https://doi.org/10.1016/j.jclepro.2018.12.213
Zhou F, Jiang Z, Zhang H, Wang Y (2014a). A case-based reasoning method for remanufacturing process planning. Discret Dyn Nat Soc. 2014a. https://doi.org/10.1155/2014/168631
Zhou J, Deng Q, Li T (2018) Optimal acquisition and remanufacturing policies considering the effect of quality uncertainty on carbon emissions. J Clean Prod 186:180–190. https://doi.org/10.1016/j.jclepro.2018.03.150
Zhou XY, Shi PJ, Wang WY, Liu BH (2014b) Research process of remanufacturing standard system. Adv Mater Res 513–517:4244–4247. https://doi.org/10.4028/www.scientific.net/AMM.513-517.4244
Funding
This work was supported by 2016 Green Manufacturing System Integration Project of Ministry of Industry and Information Technology of China under Grant [201675514] and National Natural Science Foundation of China under Grant no. 52075088. The project has been successfully completed in early 2019. The information of the problem can be found on the website of the Ministry of Industry and Information Technology of China and other websites, e.g., 2016 Green Manufacturing System Integration Project Public Notice: http://www.ocn.com.cn/chanjing/201612/jyfwd16154404-2.shtml. 2019 Ministry of Industry and Information Technology of the People’s Republic of China Green Supply Chain Management Demonstration Enterprises List: https://www.miit.gov.cn/n1146295/n1652858/n1652930/n3757016/c7413818/part/7413932.pdf. 2020 On the announcement of the acceptance of the mechanical and electrical products remanufacturing pilot unit list (the second batch) notice: http://finance.sina.com.cn/chanjing/cyxw/2020-12-31/doc-iiznctke9546831.shtml. The relevant data in this article are true and reliable, but some data sources (such as related financial status) involve the trade secrets of the enterprise and cannot be provided.
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Conceptualization: Xingyu Jiang; Methodology: Tianbiao Yu; Writing—original draft preparation: Boxue Song; Writing—review and editing: Qing Liu; Funding acquisition: Xingyu Jiang. Tianbiao Yu; Supervision: Song Wang.
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Highlights
1. New remanufacturing production lines and remanufacturing systems.
2. Achieved energy-saving and material-saving, higher remanufacturing and reutilization rates.
3. Higher remanufactured machine tool sales and profits, and more jobs.
4. Urgent need for more financial and policy support.
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Song, B., Jiang, X., Wang, S. et al. The promotion and application of green remanufacturing: a case study in a machine tool plant. Environ Sci Pollut Res 30, 40870–40885 (2023). https://doi.org/10.1007/s11356-022-24722-x
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DOI: https://doi.org/10.1007/s11356-022-24722-x