IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v30y2019i1d10.1007_s10845-016-1231-0.html
   My bibliography  Save this article

A hybrid approach of rough set and case-based reasoning to remanufacturing process planning

Author

Listed:
  • Zhigang Jiang

    (Wuhan University of Science and Technology)

  • Ya Jiang

    (Wuhan University of Science and Technology)

  • Yan Wang

    (University of Brighton)

  • Hua Zhang

    (Wuhan University of Science and Technology)

  • Huajun Cao

    (Chongqing University)

  • Guangdong Tian

    (Jilin University)

Abstract

Remanufacturing, a process returning used products to at least as good as new condition, is increasingly recognized as an important part of the circular economy. Since returned used components for remanufacturing have varying conditions and different defects, remanufacturing is very time-consuming and labor-intensive. There is an urgent need to reuse knowledge generated from existing parts remanufacturing to rapidly create sound process planning for the new arrival of used parts. A hybrid method combing rough set (RS) and cased-based reasoning (CBR) for remanufacturing process planning is presented in this paper. RS is employed for features reduction and rapid determination of features’ weights automatically, and CBR is utilized to calculate the similarity of process cases to identify the most suitable solution effectively from case database. The application of the methodology is demonstrated in an example of remanufacturing process for a saddle guide. The results indicated that the quality of remanufactured products has been improved significantly. The method has been implemented in a prototype system using Visual Studio 2010 and Microsoft SQL Server2008. The results suggested that the hybrid RS–CBR system is feasible and effective for the rapid generation of sound process planning for remanufacturing.

Suggested Citation

  • Zhigang Jiang & Ya Jiang & Yan Wang & Hua Zhang & Huajun Cao & Guangdong Tian, 2019. "A hybrid approach of rough set and case-based reasoning to remanufacturing process planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 19-32, January.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1231-0
    DOI: 10.1007/s10845-016-1231-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-016-1231-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-016-1231-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. V. Daniel R. Guide , Jr. & Gilvan C. Souza & Luk N. Van Wassenhove & Joseph D. Blackburn, 2006. "Time Value of Commercial Product Returns," Management Science, INFORMS, vol. 52(8), pages 1200-1214, August.
    2. Wen, Haijun & Liu, Mingzhou & Liu, Changyi & Liu, Conghu, 2015. "Remanufacturing production planning with compensation function approximation method," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 742-753.
    3. Teunter, Ruud H. & Flapper, Simme Douwe P., 2011. "Optimal core acquisition and remanufacturing policies under uncertain core quality fractions," European Journal of Operational Research, Elsevier, vol. 210(2), pages 241-248, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanbin Du & Guohua He & Bo Li & Zhijie Zhou & Guoao Wu, 2022. "In-service machine tool remanufacturing: a sustainable resource-saving and high-valued recovery approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1335-1358, January.
    2. Jiyoung Jung & Kundo Park & Byungjin Cho & Jinkyoo Park & Seunghwa Ryu, 2023. "Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks," Journal of Intelligent Manufacturing, Springer, vol. 34(8), pages 3623-3636, December.
    3. Qihao Liu & Xinyu Li & Liang Gao, 2021. "Mathematical modeling and a hybrid evolutionary algorithm for process planning," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 781-797, March.
    4. Wenkang Zhang & Yufan Zheng & Rafiq Ahmad, 2023. "The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2963-2988, October.
    5. Longhua Xu & Chuanzhen Huang & Chengwu Li & Jun Wang & Hanlian Liu & Xiaodan Wang, 2021. "An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining," Journal of Intelligent Manufacturing, Springer, vol. 32(1), pages 313-327, January.
    6. Mohammad Reza Khosravani & Sara Nasiri, 2020. "Injection molding manufacturing process: review of case-based reasoning applications," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 847-864, April.
    7. Wenjie Wang & Guangdong Tian & Gang Yuan & Duc Truong Pham, 2023. "Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1065-1083, March.
    8. Wei Zhou & Chao Ke, 2022. "A Mass-Customization-Based Remanufacturing Scheme Design Method for Used Products," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    9. Shengrui Yu & Tianfeng Zhang & Yun Zhang & Zhigao Huang & Huang Gao & Wen Han & Lih-Sheng Turng & Huamin Zhou, 2022. "Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 77-89, January.
    10. Rui Wang & Xiangyu Guo & Shisheng Zhong & Gaolei Peng & Lin Wang, 2022. "Decision rule mining for machining method chains based on rough set theory," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 799-807, March.
    11. Chao Ke & Xiuyan Pan & Pan Wan & Zixi Huang & Zhigang Jiang, 2023. "An Intelligent Redesign Method for Used Products Based on Digital Twin," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruiz-Benítez, Rocío & Ketzenberg, Michael & van der Laan, Erwin A., 2014. "Managing consumer returns in high clockspeed industries," Omega, Elsevier, vol. 43(C), pages 54-63.
    2. Chang Fang & Xinbao Liu & Jun Pei & Wenjuan Fan & Panos M. Pardalos, 2016. "Optimal production planning in a hybrid manufacturing and recovering system based on the internet of things with closed loop supply chains," Operational Research, Springer, vol. 16(3), pages 543-577, October.
    3. Zikopoulos, Christos & Tagaras, George, 2015. "Reverse supply chains: Effects of collection network and returns classification on profitability," European Journal of Operational Research, Elsevier, vol. 246(2), pages 435-449.
    4. Yang, Hui & Chen, Jing & Chen, Xu & Chen, Bintong, 2017. "The impact of customer returns in a supply chain with a common retailer," European Journal of Operational Research, Elsevier, vol. 256(1), pages 139-150.
    5. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 140(1), pages 239-248.
    6. Minnema, Alec & Bijmolt, Tammo H.A. & Gensler, Sonja & Wiesel, Thorsten, 2016. "To Keep or Not to Keep: Effects of Online Customer Reviews on Product Returns," Journal of Retailing, Elsevier, vol. 92(3), pages 253-267.
    7. Gong, Hailei & Zhang, Zhi-Hai, 2022. "Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 297(2), pages 496-510.
    8. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    9. Ülkü, M. Ali & Gürler, Ülkü, 2018. "The impact of abusing return policies: A newsvendor model with opportunistic consumers," International Journal of Production Economics, Elsevier, vol. 203(C), pages 124-133.
    10. Deishin Lee, 2012. "Turning Waste into By-Product," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 115-127, January.
    11. Congdong Li & Hao Guo & Ying Zhang & Shuai Deng & Yu Wang, 2018. "An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    12. Panagiotidou, Sofia & Nenes, George & Zikopoulos, Christos & Tagaras, George, 2017. "Joint optimization of manufacturing/remanufacturing lot sizes under imperfect information on returns quality," European Journal of Operational Research, Elsevier, vol. 258(2), pages 537-551.
    13. Wu, Cheng-Han, 2015. "Strategic and operational decisions under sales competition and collection competition for end-of-use products in remanufacturing," International Journal of Production Economics, Elsevier, vol. 169(C), pages 11-20.
    14. Xinyue Wang & Zhimei Li & Peinan Liu, 2023. "Recycling/Production and Incentive-Penalty Strategies in Closed-Loop Supply Chains under Remanufacturing Policies," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    15. Liao, Haolan & Zhang, Qingyu & Li, Lu, 2023. "Optimal procurement strategy for multi-echelon remanufacturing systems under quality uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    16. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    17. Xiong, Yu & Zhou, Yu & Li, Gendao & Chan, Hing-Kai & Xiong, Zhongkai, 2013. "Don’t forget your supplier when remanufacturing," European Journal of Operational Research, Elsevier, vol. 230(1), pages 15-25.
    18. Krikke, Harold & Hofenk, Dianne & Wang, Yacan, 2013. "Revealing an invisible giant: A comprehensive survey into return practices within original (closed-loop) supply chains," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 239-250.
    19. Halit Üster & Sung Ook Hwang, 2017. "Closed-Loop Supply Chain Network Design Under Demand and Return Uncertainty," Transportation Science, INFORMS, vol. 51(4), pages 1063-1085, November.
    20. Çerağ Pinçe & Mark Ferguson & Beril Toktay, 2016. "Extracting Maximum Value from Consumer Returns: Allocating Between Remarketing and Refurbishing for Warranty Claims," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 475-492, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1231-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.