Optimal Timing and Recycling Operation Mode for Electro-Mechanical Products Active Remanufacturing

Abstract

The uncertainties of remanufactured products in multi-life cycle service, such as injury and restoration process route, are comprehensively analyzed in the present study from perspectives of cost and the environment. Based on life cycle assessment method and the life cycle cost analysis, the optimal timing model of active remanufacturing for electro-mechanical products is established considering these uncertainties. In addition, regarding the active remanufacturing as its guidance, this study explores the economic efficiency and corresponding operation mode of electro-mechanical products when recycling in the optimal timing. To validate the optimal timing model for electro-mechanical products active remanufacturing, a specific type of product is taken as a case study with mathematical statistics method and Monte Carlo simulation.

Keywords

electro-mechanical products / active remanufacturing / optimal timing / reverse logistics / recycling mode

References

[1] Bose, I., & Anand, P. (2007). On returns policies with exogenous price. European Journal of Operational Research, 178, 782–788

[2] Bras, B., & Hammond, R. (1996). Towards design for remanufacturing–metrics for assessing remanufacturability. Proceedings of the 1st International Workshop on Reuse, 5–22.

[3] Fleischmann, M., Beullens, P., Bloemhof-Ruwaard, J. M., & Van Wassenhove, L. N. (2001). The impact of product recovery on logistics network design. Production and Operations Management, 10, 156–173

[4] Fleischmann, M., Van Nunen, J., & Gräve, B. (2003). Integrating closed-loop supply chains and spare-parts management at IBM. Interfaces, 33, 44–56

[5] Frank, C., & Yakut, E. (2004). Process design to mobiles in the remanufacturing network.In Proceedings Global Conference on Sustainable Product Development and Life Cycle Engineering, 191–198.

[6] Galbreth, M., & Blackburn, J. (2010). Optimal acquisition quantities in remanufacturing with condition uncertainty. Production and Operations Management, 19, 61–69

[7] Guide, V. Jr. (2000). Production planning and control for remanufacturing: industry practice and research needs. Journal of Operations Management, 18, 467–483

[8] Guide, V., & Van Wassenhove, L. (2002). The reverse supply chain. Harvard Business Review, 02.

[9] Guide, V. Jr, & Van Wassenhove, L. (2009). The evolution of closed-loop supply chain research. Operations Research, 57, 10–18

[10] Hellweg, S., & Canals, L. (2014). Emerging approaches, challenges and opportunities in life cycle assessment. Science, 344, 1109–1113

[11] Herbes, C., Friege, C., Baldo, D., & Mueller, K. (2015). Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity. Energy Policy, 87, 562–572

[12] Huang, X. (1990). Reliability engineering.Beijing: Tsinghua University Press.

[13] Ketzenberg, M. E., van der Laan, E., & Teunter, R. H. (2006). Value of information in closed loop supply chains. Production and Operations Management, 15, 393–406

[14] Liu, C., Cao, H., Liu, F., Du, Y., & Ding, C. (2007). Comprehensive assessment model and its application of waste electromechanical products green remanufacturing. Modern Manufacturing Engineering, 11, 1–4.

[15] Liu, G., Liu, T., Ke, Q., Song, S., & Zhou, D. (2013). Time interval decision-making method for active remanufacturing product based on Game Theory and Neural Network. Journal of Mechanical Engineering, 49, 29–35

[16] Liu, Y., Xu, B., Shi, P., & Liu, B. (2011). Assessment indexes of used products remanufacturability. China Surface Engineering, 24, 94–99.

[17] Liu, Z., Jiang, Q., Li, T., & Zhang, H. (2014). An optimal timing of engine remanufacturing-a real option approach. In 21st CIRP Conference on Life Cycle Engineering, Procedia CIRP. 15, 223–227.

[18] Mckenna, R., Reith, S., Cail, S., Kessler, A., & Fichtner, W. (2013). Energy savings through direct secondary reuse: an exemplary analysis of the German automotive sector. Journal of Cleaner Production, 52, 103–112

[19] Örsdemir, A., Kemahlıoglu-Ziya, E., & Parlaktürk, A. (2014). Competitive quality choice and remanufacturing. Production and Operations Management, 23, 48–64

[20] Pasternack, B. (1985). Optimal pricing and returns policies for perishable commodities. Marketing Science, 4, 166–176

[21] Seliger, G., Frank, C., Ciupek, M., & Basdere, B. (2004). Process and facility planning for mobile phone remanufacturing. Annals of the CIRP, 53, 9–12

[22] Stock, J. (1992). Reverse logistics. Illinois: Council of Logistics Management, Oak Brook.

[23] Teunter, R., & Flapper, S. (2010). Optimal core acquisition and remanufacturing policies under uncertain core quality fractions. European Journal of Operational Research, 210, 241–248

[24] Xu, B. (2007). Theory and technology of equipment remanufacture engineering.Beijing: National Defense Industry Press.

[25] Xu, B. (2010). State of the art and future development in remanufacturing engineering. Transactions of Materials and Heat Treatment, 31, 10–14.

[26] Xu, B., Dong, S., & Shi, P. (2013). States and prospects of China characterized quality guarantee technology system for remanufactured parts. Journal of Mechanical Engineering, 49, 84–90

[27] Zalejska-Jonsson, A. (2014). Stated WTP and rational WTP: Willingness to pay for green apartments in Sweden. Sustainable Cities and Society, 13, 46–56

[28] Zhang, J., & Chen, M. (2015). Assessing the impact of China's vehicle emission standards on diesel engine remanufacturing. Journal of Cleaner Production, 107, 177–184

[29] Zhong, J., Fan, S., Yao, Y., & Yang, Y. (2003). Research on synthetical assessment for remanufacturability. Zhongguo Jixie Gongcheng, 14, 2110–2113.

[30] Zhu, S., Xu, B., & Yao, J. (2003). Study of the foundation and method of remanufacturing design. China Surface Engineering, 16, 27–31.

[31] Zikopoulos, C., & Tagaras, G. (2007). Impact of uncertainty in the quality of returns on the profitability of asingle-period refurbishing operation. European Journal of Operational Research, 182, 205–225

Acknowledgement

This research was supported by grants from the National Basic Research Program of China (2011CB013406).

RIGHTS & PERMISSIONS

2016 The Author(s) 2016. This article is published with open access at engineering.cae.cn