skip to main content
10.1145/3312662.3312711acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicmssConference Proceedingsconference-collections
research-article

The Operation Decisions of Joint Remanufacturing with Cross Trade-in and Capacity Assistance Cooperation

Authors Info & Claims
Published:12 January 2019Publication History

ABSTRACT

In view of such actual operation situation that OEM-remanufacturer's production capacity and TPR-remanufacturer's recovery capacity are both insufficient, this paper studies the joint remanufacturing problem involving cross trade-in strategy and capacity assistance cooperation. By constructing a Stackelberg game model between the OEM-remanufacturer and TPR-remanufacturer, optimal pricing and production decisions of multiple remanufactured products are explored. Besides, we use simulation cases to analyze the optimal operation plan and further discuss the effect of consumer brand preference on system operations. Results show that under certain conditions, the OEM-remanufacturer and the TPR-remanufacturer can achieve complementary advantages and improve their own profits and the entire supply chain profit through joint remanufacturing with cross trade-in strategy and capacity assistance cooperation; the OEM- and TPR-remanufacturer's cooperation can be effectively promoted by building brand differences in consumer choice for remanufactured products.

References

  1. Agrawal, V. V., Atasu, A., Van Ittersum, K. 2015. Remanufacturing, third-party competition, and consumers' perceived value of new products. Management Science, 61(1), 60--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Han, S. H., Dong, M. Y., Lu, S. X., Leung, S. C., Lim, M. K. 2013. Production planning for hybrid remanufacturing and manufacturing system with component recovery. Journal of the Operational Research Society, 64(10), 1447--1460.Google ScholarGoogle ScholarCross RefCross Ref
  3. Han, X., Wu, H., Yang, Q., Shang, J. 2016. Reverse channel selection under remanufacturing risks: Balancing profitability and robustness. International Journal of Production Economics, 182, 63--72.Google ScholarGoogle ScholarCross RefCross Ref
  4. Savaskan, R. C., Bhattacharya, S., Van Wassenhove, L. N. 2004. Closed-loop supply chain models with product remanufacturing. Management science, 50(2), 239--252. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Wang, K., Zhao, Y., Cheng, Y., Choi, T. M. 2014. Cooperation or competition? Channel choice for a remanufacturing fashion supply chain with government subsidy. Sustainability, 6(10), 7292--7310.Google ScholarGoogle ScholarCross RefCross Ref
  6. Wu, C. H. 2015. Strategic and operational decisions under sales competition and collection competition for end-of-use products in remanufacturing. International Journal of Production Economics, 169, 11--20.Google ScholarGoogle ScholarCross RefCross Ref
  7. Ferrer, G., Swaminathan, J. M. 2006. Managing new and remanufactured products. Management science, 52(1), 15--26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Majumder, P., Groenevelt, H. 2001. Competition in remanufacturing. Production and operations management, 10(2), 125--141.Google ScholarGoogle Scholar
  9. Bronnenberg, B. J., Dubé, J. P. 2017. The formation of consumer brand preferences. Annual Review of Economics, 9, 353--382.Google ScholarGoogle ScholarCross RefCross Ref
  10. Das G, Agarwal J, Malhotra N K, et al. 2019. Does brand experience translate into brand commitment? A mediated-moderation model of brand passion and perceived brand ethicality. Journal of Business Research, 95: 479--490.Google ScholarGoogle ScholarCross RefCross Ref
  11. Li W, Chen J. 2018. Pricing and quality competition in a brand-differentiated supply chain. International Journal of Production Economics, 202: 97--108.Google ScholarGoogle ScholarCross RefCross Ref
  12. Zhang C, Fang D, Yang X, et al. 2018. Push and pull strategies by component suppliers when OEMs can produce the component in-house: The roles of branding in a supply chain. Industrial Marketing Management, 72: 99--111.Google ScholarGoogle ScholarCross RefCross Ref
  13. Zhou, Y., Deng, M. R. 2013. Research on capacity-constrained manufacturing/ remanufacturing hybrid system with outsourcing. In Applied Mechanics and Materials, 423, 2166--2169.Google ScholarGoogle ScholarCross RefCross Ref
  14. Mohammaditabar D, Ghodsypour S H, Hafezalkotob A. 2016. A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs. International Journal of Production Economics, 181: 87--97.Google ScholarGoogle ScholarCross RefCross Ref
  15. Ma Z J, Zhou Q, Dai Y, et al. 2017. Optimal pricing decisions under the coexistence of "trade old for new" and "trade old for remanufactured" programs. Transportation Research Part E: Logistics and Transportation Review, 106: 337--352.Google ScholarGoogle ScholarCross RefCross Ref
  16. Han X, Yang Q, Shang J, et al. 2017. Optimal strategies for trade-old-for-remanufactured programs: Receptivity, durability, and subsidy. International Journal of Production Economics, 193: 602--616.Google ScholarGoogle ScholarCross RefCross Ref
  17. Miao Z, Mao H, Fu K, et al. 2018. Remanufacturing with trade-ins under carbon regulations. Computers & Operations Research, 89: 253--268. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Mohammaditabar D, Ghodsypour S H, Hafezalkotob A. 2016. A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs. International Journal of Production Economics, 181: 87--97.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. The Operation Decisions of Joint Remanufacturing with Cross Trade-in and Capacity Assistance Cooperation

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICMSS 2019: Proceedings of the 2019 3rd International Conference on Management Engineering, Software Engineering and Service Sciences
      January 2019
      292 pages
      ISBN:9781450361897
      DOI:10.1145/3312662

      Copyright © 2019 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 January 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)1

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader