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Optimal production strategy for a manufacturing and remanufacturing system with return policy

  • Feng Tao
  • Tijun Fan
  • Xuefeng JiaEmail author
  • Kin Keung Lai
Original Paper
  • 31 Downloads

Abstract

This paper considers a monopolistic producer who produces new product in the first period and provides manufactured and remanufactured products in the second period. A return policy in the first period and the competition between the manufactured and the remanufactured products in the second period are jointly considered to develop the optimal production quantity strategies analytically and numerically. We find that if the two products are substitutable, the quantities of the new products manufactured in the first period and the remanufactured products produced in the second period are non-decreasing in the return policy, but the quantity of the manufactured products in the second period is decreasing in the return policy. In this case, the return rate determines the profit level, but the collection rate has little impact on the profit. If the two products are complementary, there is a critical value of the collection rate. When the collection rate is smaller than this value, the production quantities increase in the return policy; otherwise, they decrease in the return policy. In this scenario, the return policy and the collection rate mutually make a positive impact on the profit. Additionally, although a generous return policy is always profitable, it may lead to less production of manufactured and remanufactured products, especially when they are complementary.

Keywords

Remanufacturing Production management Manufacturing management Manufacturing strategy Optimization 

Notes

Funding

Funding was provided by National Natural Science Foundation (Grant Nos. 71872064, 71201059, 71431004, 71171082), Shanghai Pujiang Program (Grant No. 18PJC025).

References

  1. Akçali E, Çetinkaya S (2011) Quantitative models for inventory and production planning in closed-loop supply chains. Int J Prod Res 49(8):2373–2407CrossRefGoogle Scholar
  2. Aras N, Verter V, Boyaci T (2006) Coordination and priority decisions in hybrid manufacturing/remanufacturing systems. Prod Oper Manag 15(4):528–543CrossRefGoogle Scholar
  3. Bose I, Anand P (2007) On returns policies with exogenous price. Eur J Oper Res 178(3):782–788CrossRefGoogle Scholar
  4. Chang SY, Yeh TY (2013) Optimal order quantity and product modularity for a two-echelon returnable supply chain. Int J Prod Res 51(17):5210–5220CrossRefGoogle Scholar
  5. Choi DW, Hwang H, Koh SG (2007) A generalized ordering and recovering policy for reusable items. Eur J Oper Res 182:764–774CrossRefGoogle Scholar
  6. DeCroix G, Zipkin P (2005) Inventory management for an assembly system with product or component returns. Manag Sci 51:1250–1265CrossRefGoogle Scholar
  7. Diallo C, Venkatadri U, Khatab A, Bhakthavatchalam S (2017) State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing. Int J Prod Res 55(5):1277–1296CrossRefGoogle Scholar
  8. Diaz R, Marsillac E (2017) Evaluating strategies remanufacturing supply chain decisions. Int J Prod Res 55(9):2522–2539CrossRefGoogle Scholar
  9. Emmons H, Gilbert SM (1998) Note: the role of returns policies in pricing and inventory decisions for catalogue goods. Manag Sci 44(2):276–283CrossRefGoogle Scholar
  10. Ferrer G, Swaminathan JM (2006) Managing new and remanufactured products. Manage Sci 52(1):15–26CrossRefGoogle Scholar
  11. Ferrer G, Swaminathan JM (2010) Managing new and differentiated remanufactured products. Eur J Oper Res 203(2):370–379CrossRefGoogle Scholar
  12. Ghosh D, Gouda S, Shankar R, Swami S, Thomas VC (2018) Strategic decision making under subscription-based contracts for remanufacturing. Int J Prod Econ 200:134–150CrossRefGoogle Scholar
  13. Hariga M, As’ad R, Khan Z (2017) Manufacturing-remanufacturing policies for a centralized two stage supply chain under consignment stock partnership. Int J Prod Econ 183:362–374CrossRefGoogle Scholar
  14. Inderfurth K (1997) Simple optimal replenishment and disposal policies for a product recovery system with leadtimes. OR Spektrum 19(2):111–122CrossRefGoogle Scholar
  15. Junior LM, Filho MG (2012) Production planning and control for remanufacturing: literature review and analysis. Prod Plan Control 23(6):419–435CrossRefGoogle Scholar
  16. Junior LM, Filho MG (2016) Production planning and control for remanufacturing: exploring characteristics and difficulties with case studies. Prod Plan Control 27(3):212–225CrossRefGoogle Scholar
  17. Kenne JP, Dejax P, Gharbi A (2012) Production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain. Int J Prod Econ 135(1):81–93CrossRefGoogle Scholar
  18. Lau HS, Lau AHL (1999) Manufacturer’s pricing strategy and return policy for a single period commodity. Eur J Oper Res 116(2):291–304CrossRefGoogle Scholar
  19. Mukhopadhyay SK, Setaputra R (2011) Return policy in product reuse under uncertainty. Int J Prod Res 49(17):5317–5332CrossRefGoogle Scholar
  20. Padmanabhan V, Png IPL (1997) Manufacturer’s returns policies and retail competition. Mark Sci 16(1):81–94CrossRefGoogle Scholar
  21. Pasternack BA (1985) Optimal pricing and return policies for perishable commodities. Mark Sci 4(2):166–176CrossRefGoogle Scholar
  22. Polotski V, Kenne JP, Gharbi A (2017a) Production and setup policy optimization for hybrid manufacturing-remanufacturing systems. Int J Prod Econ 183:322–333CrossRefGoogle Scholar
  23. Polotski V, Kenne JP, Gharbi A (2017b) Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns. Int J Prod Res 55(13):3766–3787CrossRefGoogle Scholar
  24. Schrady D (1967) A deterministic inventory model for repairable items. Naval Res Logist 14:391–398CrossRefGoogle Scholar
  25. Schulz T, Voigt G (2014) A flexibly structured lot sizing heuristic for a static remanufacturing system. Omega 44:21–31CrossRefGoogle Scholar
  26. Simpson V (1978) Optimum solution structure for a repairable inventory problem. Oper Res 26(2):270–281CrossRefGoogle Scholar
  27. Steeneck DW, Sarin SC (2017) Determining end-of-life policy for recoverable products. Int J Prod Res 55(19):5782–5800CrossRefGoogle Scholar
  28. Tsay AA (2001) Managing retail channel overstock: markdown money and return policies. J Retail 71(4):457–492CrossRefGoogle Scholar
  29. Wei S, Tang O, Liu W (2015) Refund policies for cores with quality variation in OEM remanufacturing. Int J Prod Econ 170:629–640CrossRefGoogle Scholar
  30. Wu Z, Kwong CK, Lee CKM, Tang J (2016) Joint decision of product configuration and remanufacturing for product family design. Int J Prod Res 54(15):4689–4702CrossRefGoogle Scholar
  31. Xerox Corporation. https://www.xerox.com/en-us/about/ehs/paper-use. Accessed 15 May 2017
  32. Xiong Y, Li G, Zhou Y, Fernandes K, Harrison R, Xiong Z (2014) Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality. Int J Prod Econ 147:678–688CrossRefGoogle Scholar
  33. Yenipazarli A (2016) Managing new and remanufactured products to mitigate environmental damage under emissions regulation. Eur J Oper Res 249:117–130CrossRefGoogle Scholar
  34. Zahraei SM, Teo CC (2018) Optimizing a recover-and-assemble remanufacturing system with production smoothing. Int J Prod Econ 197:330–341CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Management Science and EngineeringEast China University of Science and TechnologyShanghaiChina
  2. 2.School of Public AffairsUniversity of Science and Technology of ChinaHefeiChina
  3. 3.International Business SchoolShaanxi Normal UniversityXi’anChina
  4. 4.College of ManagementXidian UniversityXi’anChina

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