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A hybrid simulation optimization method for production planning of dedicated remanufacturing

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  • Li, Jianzhi
  • González, Miguel
  • Zhu, Yun

Abstract

This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA

Suggested Citation

  • Li, Jianzhi & González, Miguel & Zhu, Yun, 2009. "A hybrid simulation optimization method for production planning of dedicated remanufacturing," International Journal of Production Economics, Elsevier, vol. 117(2), pages 286-301, February.
  • Handle: RePEc:eee:proeco:v:117:y:2009:i:2:p:286-301
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    3. Syed Ali, Sharifah Aishah & Doostmohammadi, Mahdi & Akartunalı, Kerem & van der Meer, Robert, 2018. "A theoretical and computational analysis of lot-sizing in remanufacturing with separate setups," International Journal of Production Economics, Elsevier, vol. 203(C), pages 276-285.
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    5. Frota Neto, João Quariguasi & Bloemhof, Jacqueline & Corbett, Charles, 2016. "Market prices of remanufactured, used and new items: Evidence from eBay," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 371-380.
    6. Liao, Haolan & Zhang, Qingyu & Shen, Neng & Nie, Yongyou & Li, Lu, 2021. "Coordination between forward and reverse production streams for maximum profitability," Omega, Elsevier, vol. 104(C).
    7. Diaz, Juan Esteban & Handl, Julia & Xu, Dong-Ling, 2018. "Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system," European Journal of Operational Research, Elsevier, vol. 266(3), pages 976-989.
    8. Chang Fang & Xinbao Liu & Panos M. Pardalos & Jianyu Long & Jun Pei & Chao Zuo, 2017. "A stochastic production planning problem in hybrid manufacturing and remanufacturing systems with resource capacity planning," Journal of Global Optimization, Springer, vol. 68(4), pages 851-878, August.
    9. Pokharel, Shaligram & Liang, Yijiong, 2012. "A model to evaluate acquisition price and quantity of used products for remanufacturing," International Journal of Production Economics, Elsevier, vol. 138(1), pages 170-176.
    10. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    11. Kumar, Akhilesh & Chinnam, Ratna Babu & Murat, Alper, 2017. "Hazard rate models for core return modeling in auto parts remanufacturing," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 354-361.
    12. Nouira, Imen & Frein, Yannick & Hadj-Alouane, Atidel B., 2014. "Optimization of manufacturing systems under environmental considerations for a greenness-dependent demand," International Journal of Production Economics, Elsevier, vol. 150(C), pages 188-198.
    13. Attila, Öykü Naz & Agra, Agostinho & Akartunalı, Kerem & Arulselvan, Ashwin, 2021. "Robust formulations for economic lot-sizing problem with remanufacturing," European Journal of Operational Research, Elsevier, vol. 288(2), pages 496-510.
    14. Wenyuan Wang & Daniel Y. Mo & Yue Wang & Mitchell M. Tseng, 2019. "Assessing the cost structure of component reuse in a product family for remanufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 575-587, February.
    15. Yunting Feng & Yong Geng & Ge Zhao & Mengya Li, 2022. "Carbon Emission Constraint Policy in an OEM and Outsourcing Remanufacturer Supply Chain with Consumer Preferences," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    16. Pellerin, Robert & Sadr, Javad & Gharbi, Ali & Malhamé, Roland, 2009. "A production rate control policy for stochastic repair and remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 121(1), pages 39-48, September.
    17. Hazen, Benjamin T. & Overstreet, Robert E. & Jones-Farmer, L. Allison & Field, Hubert S., 2012. "The role of ambiguity tolerance in consumer perception of remanufactured products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 781-790.
    18. Ilgin, Mehmet Ali & Gupta, Surendra M., 2011. "Performance improvement potential of sensor embedded products in environmental supply chains," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 580-592.
    19. Gansterer, Margaretha & Almeder, Christian & Hartl, Richard F., 2014. "Simulation-based optimization methods for setting production planning parameters," International Journal of Production Economics, Elsevier, vol. 151(C), pages 206-213.
    20. Lee, Der-Horng & Dong, Meng & Bian, Wen, 2010. "The design of sustainable logistics network under uncertainty," International Journal of Production Economics, Elsevier, vol. 128(1), pages 159-166, November.
    21. Biao Li & Yong Geng & Xiqiang Xia & Dan Qiao & Hao Wang, 2021. "Comparatively Analyzing the Impact of Government Subsidy and Carbon Tax Policy on Authorized Remanufacturing," IJERPH, MDPI, vol. 18(16), pages 1-18, August.

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