IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v267y2024ics0925527323003031.html
   My bibliography  Save this article

An analysis of the supply chain dynamics of remanufacturing with multiple collectors

Author

Listed:
  • Framinan, Jose M.

Abstract

This paper addresses how decisions related to the collection of used products (namely the location and number of collection sources) affect the dynamic performance of remanufacturing. More specifically, we address the case where a manufacturer produces both new and remanufactured, as-good-as-new, products and delivers them to the final customers via a supplier (or suppliers). A percentage of these products is collected at the end of their life by multiple collection sources – either the suppliers, third-parties in charge of the collection, or a combination of both – that may differ in the time required to carry out their collection activities. In this scenario and assuming an optimal operation of all nodes in the supply chain, we derive an exact formulation for two well-known indicators of the so-called bullwhip effect, i.e. the amplification of the order variance and the inventory variance experienced by the manufacturer as compared to that of the final customer demand. The analysis of the so-obtained formulae highlights the importance of the collection lead times (which may be employed as a proxy of the location of the collection source, or its effectiveness in the collection process), as only the number of collection sources with different collection lead times affects the bullwhip effect, being irrelevant how collection sources with the same collection lead times allocate their collection quotas of end-of-life products among themselves. An expression for the optimal allocation (in terms of reduction of the bullwhip effect) of the collection quotas of end-of-life products to each collection source is given, showing the positive effect of increasing the number of groups of collection sources with different collection lead times. In order to reap these benefits, it is required to perform a balanced allocation of the collection of end-of-life products among these groups. These results offer a number of managerial insights for the design of a collection system for the end-of-life products in a remanufacturing setting from a dynamic performance perspective.

Suggested Citation

  • Framinan, Jose M., 2024. "An analysis of the supply chain dynamics of remanufacturing with multiple collectors," International Journal of Production Economics, Elsevier, vol. 267(C).
  • Handle: RePEc:eee:proeco:v:267:y:2024:i:c:s0925527323003031
    DOI: 10.1016/j.ijpe.2023.109071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527323003031
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2023.109071?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. Giutini, Ron & Gaudette, Kevin, 2003. "Remanufacturing: The next great opportunity for boosting US productivity," Business Horizons, Elsevier, vol. 46(6), pages 41-48.
    2. Zhou, Li & Naim, Mohamed M. & Disney, Stephen M., 2017. "The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 487-502.
    3. Thanos E. Goltsos & Borja Ponte & Shixuan Wang & Ying Liu & Mohamed M. Naim & Aris A. Syntetos, 2019. "The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(23), pages 7361-7394, December.
    4. Ponte, Borja & Framinan, Jose M. & Cannella, Salvatore & Dominguez, Roberto, 2020. "Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times," International Journal of Production Economics, Elsevier, vol. 230(C).
    5. Fan, Xiaojun & Guo, Xin & Wang, Shanshan, 2022. "Optimal collection delegation strategies in a retail-/dual-channel supply chain with trade-in programs," European Journal of Operational Research, Elsevier, vol. 303(2), pages 633-649.
    6. Geraldo Ferrer & Jayashankar M. Swaminathan, 2006. "Managing New and Remanufactured Products," Management Science, INFORMS, vol. 52(1), pages 15-26, January.
    7. Chatfield, Dean C. & Pritchard, Alan M., 2013. "Returns and the bullwhip effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 159-175.
    8. Frank Chen & Jennifer K. Ryan & David Simchi‐Levi, 2000. "The impact of exponential smoothing forecasts on the bullwhip effect," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(4), pages 269-286, June.
    9. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2021. "Remanufacturing configuration in complex supply chains," Omega, Elsevier, vol. 101(C).
    10. S Cannella & A P Barbosa-Póvoa & J M Framinan & S Relvas, 2013. "Metrics for bullwhip effect analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(1), pages 1-16, January.
    11. Xiao, Lu & Wang, Xian-Jia & Chin, Kwai-Sang, 2020. "Trade-in strategies in retail channel and dual-channel closed-loop supply chain with remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    12. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    13. Disney, S. M. & Towill, D. R. & van de Velde, W., 2004. "Variance amplification and the golden ratio in production and inventory control," International Journal of Production Economics, Elsevier, vol. 90(3), pages 295-309, August.
    14. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    15. Yao Chen & Fangruo Chen, 2019. "On the Competition between Two Modes of Product Recovery: Remanufacturing and Refurbishing," Production and Operations Management, Production and Operations Management Society, vol. 28(12), pages 2983-3001, December.
    16. Sodhi, ManMohan S. & Tang, Christopher S., 2011. "The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning," European Journal of Operational Research, Elsevier, vol. 215(2), pages 374-382, December.
    17. Zhou, Qin & Meng, Chao & Yuen, Kum Fai, 2021. "Remanufacturing authorization strategy for competition among OEM, authorized remanufacturer, and unauthorized remanufacturer," International Journal of Production Economics, Elsevier, vol. 242(C).
    18. Yang, Y. & Lin, J. & Hedenstierna, C.P.T. & Zhou, L., 2023. "The more the better? The impact of the number and location of product recovery options on the system dynamics in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    19. Giri, B.C. & Glock, C.H., 2022. "The bullwhip effect in a manufacturing/remanufacturing supply chain under a price-induced non-standard ARMA(1,1) demand process," European Journal of Operational Research, Elsevier, vol. 301(2), pages 458-472.
    20. Hosoda, Takamichi & Disney, Stephen M., 2018. "A unified theory of the dynamics of closed-loop supply chains," European Journal of Operational Research, Elsevier, vol. 269(1), pages 313-326.
    21. Hong, Xianpei & Xu, Lei & Du, Peng & Wang, Wenjuan, 2015. "Joint advertising, pricing and collection decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 167(C), pages 12-22.
    22. R. Canan Savaskan & Shantanu Bhattacharya & Luk N. Van Wassenhove, 2004. "Closed-Loop Supply Chain Models with Product Remanufacturing," Management Science, INFORMS, vol. 50(2), pages 239-252, February.
    23. Li Chen & Hau L. Lee, 2009. "Information Sharing and Order Variability Control Under a Generalized Demand Model," Management Science, INFORMS, vol. 55(5), pages 781-797, May.
    24. Adenso-Díaz, Belarmino & Moreno, Plácido & Gutiérrez, Ester & Lozano, Sebastián, 2012. "An analysis of the main factors affecting bullwhip in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 135(2), pages 917-928.
    25. Xigang Yuan & Xiaoqing Zhang & Min Wang & Dalin Zhang & Chuanliang Yan, 2022. "Quantifying the Bullwhip Effect in a Reverse Supply Chain: The Impact of Different Forecasting Methods," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-16, May.
    26. Ma, Zu-Jun & Zhou, Qin & Dai, Ying & Sheu, Jiuh-Biing, 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, Elsevier, vol. 106(C), pages 337-352.
    27. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    28. Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2016. "Closed-loop supply chains: What reverse logistics factors influence performance?," International Journal of Production Economics, Elsevier, vol. 175(C), pages 35-49.
    29. Zhao, Senlin & You, Zhuangzhuang & Zhu, Qinghua, 2022. "Effects of asymmetric cost information on collection outsourcing of used products for remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    30. Hosoda, Takamichi & Disney, Stephen M. & Gavirneni, Srinagesh, 2015. "The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains," European Journal of Operational Research, Elsevier, vol. 246(3), pages 827-836.
    31. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    32. Giri, B. C. & Glock, C. H., 2022. "The bullwhip effect in a manufacturing/remanufacturing supply chain under a price-induced non-standard ARMA(1,1) demand process," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132285, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    33. R. Canan Savaskan & Luk N. Van Wassenhove, 2006. "Reverse Channel Design: The Case of Competing Retailers," Management Science, INFORMS, vol. 52(1), pages 1-14, January.
    34. Han, Xiaohua & Yang, Qianxia & Shang, Jennifer & Pu, Xujin, 2017. "Optimal strategies for trade-old-for-remanufactured programs: Receptivity, durability, and subsidy," International Journal of Production Economics, Elsevier, vol. 193(C), pages 602-616.
    35. Salvatore Cannella & Borja Ponte & Roberto Dominguez & Jose M. Framinan, 2021. "Proportional order-up-to policies for closed-loop supply chains: the dynamic effects of inventory controllers," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3323-3337, June.
    Full references (including those not matched with items on IDEAS)

    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. Ponte, Borja & Framinan, Jose M. & Cannella, Salvatore & Dominguez, Roberto, 2020. "Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times," International Journal of Production Economics, Elsevier, vol. 230(C).
    2. Yang, Y. & Lin, J. & Hedenstierna, C.P.T. & Zhou, L., 2023. "The more the better? The impact of the number and location of product recovery options on the system dynamics in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    3. Ponte, Borja & Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2022. "The implications of batching in the bullwhip effect and customer service of closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    4. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2021. "Remanufacturing configuration in complex supply chains," Omega, Elsevier, vol. 101(C).
    5. Ponte, Borja & Cannella, Salvatore & Dominguez, Roberto & Naim, Mohamed M. & Syntetos, Aris A., 2021. "Quality grading of returns and the dynamics of remanufacturing," International Journal of Production Economics, Elsevier, vol. 236(C).
    6. María Arquer & Borja Ponte & Raúl Pino, 2022. "Examining the balance between efficiency and resilience in closed-loop supply chains," 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. 30(4), pages 1307-1336, December.
    7. Ponte, Borja & Naim, Mohamed M. & Syntetos, Aris A., 2019. "The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 278(2), pages 629-645.
    8. Dominguez, Roberto & Cannella, Salvatore & Ponte, Borja & Framinan, Jose M., 2020. "On the dynamics of closed-loop supply chains under remanufacturing lead time variability," Omega, Elsevier, vol. 97(C).
    9. Hosoda, Takamichi & Disney, Stephen M. & Zhou, Li, 2021. "The yield rate paradox in closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 239(C).
    10. QU, Zhan & RAFF, Horst, 2023. "Two-part tariffs, inventory stockpiling, and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 308(1), pages 201-214.
    11. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.
    12. Lin, Junyi & Zhou, Li & Spiegler, Virginia L.M. & Naim, Mohamed M. & Syntetos, Aris, 2022. "Push or Pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 300(1), pages 282-295.
    13. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    14. Lijun Meng & Qiang Qiang & Zuqing Huang & Baoyou Zhang & Yuxiang Yang, 2020. "Optimal Pricing Strategy and Government Consumption Subsidy Policy in Closed-Loop Supply Chain with Third-Party Remanufacturer," Sustainability, MDPI, vol. 12(6), pages 1-29, March.
    15. Enrique Holgado de Frutos & Juan R Trapero & Francisco Ramos, 2020. "A literature review on operational decisions applied to collaborative supply chains," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
    16. Li, Sijie & Zheng, Bin & Jia, Dongfeng, 2024. "Optimal decisions for hybrid manufacturing and remanufacturing with trade-in program and carbon tax," Omega, Elsevier, vol. 124(C).
    17. Ponte, Borja & Puche, Julio & Rosillo, Rafael & de la Fuente, David, 2020. "The effects of quantity discounts on supply chain performance: Looking through the Bullwhip lens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    18. Christos I. Papanagnou, 2022. "Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things," Annals of Operations Research, Springer, vol. 310(1), pages 153-170, March.
    19. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.
    20. Dejian Yu & Zhaoping Yan, 2021. "Knowledge diffusion of supply chain bullwhip effect: main path analysis and science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8491-8515, 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:eee:proeco:v:267:y:2024:i:c:s0925527323003031. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.