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A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system

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  • Ondemir, Onder
  • Gupta, Surendra M.

Abstract

Sensor-embedded products (SEPs) eliminate a majority of uncertainties involved in product recovery by providing item-based life-cycle information. This information includes the content of each product and component conditions, and enables the estimation of remaining useful life of the components. Once the data on the products are captured, it is possible to make optimal recovery decisions without any preliminary disassembly or inspection operations.

Suggested Citation

  • Ondemir, Onder & Gupta, Surendra M., 2014. "A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system," European Journal of Operational Research, Elsevier, vol. 233(2), pages 408-419.
    • Handle: RePEc:eee:ejores:v:233:y:2014:i:2:p:408-419
    DOI: 10.1016/j.ejor.2013.09.003
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    References listed on IDEAS

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    1. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    2. Muris Lage Junior & Moacir Godinho Filho, 2017. "Master disassembly scheduling in a remanufacturing system with stochastic routings," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 123-138, March.
    3. Patricia Guarnieri & Lucio Camara e Silva & Bárbara de Oliveira Vieira, 2020. "How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition," Logistics, MDPI, vol. 4(4), pages 1-31, October.
    4. Ren, Yaping & Zhang, Chaoyong & Zhao, Fu & Xiao, Huajun & Tian, Guangdong, 2018. "An asynchronous parallel disassembly planning based on genetic algorithm," European Journal of Operational Research, Elsevier, vol. 269(2), pages 647-660.
    5. Mehmet Talha Dulman & Surendra M. Gupta, 2018. "Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops," Logistics, MDPI, vol. 2(1), pages 1-22, January.
    6. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    7. Meng, Kai & Cao, Ying & Peng, Xianghui & Prybutok, Victor & Gupta, Varun, 2020. "Demand-dependent recovery decision-making of a batch of products for sustainability," International Journal of Production Economics, Elsevier, vol. 224(C).
    8. Dejian Yu, 2016. "Softmax function based intuitionistic fuzzy multi-criteria decision making and applications," Operational Research, Springer, vol. 16(2), pages 327-348, July.
    9. Meng, Kai & Lou, Peihuang & Peng, Xianghui & Prybutok, Victor, 2017. "Multi-objective optimization decision-making of quality dependent product recovery for sustainability," International Journal of Production Economics, Elsevier, vol. 188(C), pages 72-85.
    10. Yicong Gao & Shanhe Lou & Hao Zheng & Jianrong Tan, 2023. "A data-driven method of selective disassembly planning at end-of-life under uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 565-585, February.
    11. Liu, Kanglin & Zhang, Zhi-Hai, 2018. "Capacitated disassembly scheduling under stochastic yield and demand," European Journal of Operational Research, Elsevier, vol. 269(1), pages 244-257.
    12. Joshi, Aditi D. & Gupta, Surendra M., 2019. "Evaluation of design alternatives of End-Of-Life products using internet of things," International Journal of Production Economics, Elsevier, vol. 208(C), pages 281-293.
    13. Liu, Bingsheng & Shen, Yinghua & Zhang, Wei & Chen, Xiaohong & Wang, Xueqing, 2015. "An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making," European Journal of Operational Research, Elsevier, vol. 245(1), pages 209-225.
    14. Kai Meng & Peihuang Lou & Xianghui Peng & Victor Prybutok, 2017. "Quality-driven recovery decisions for used components in reverse logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4712-4728, August.

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