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Remanufacturing configuration in complex supply chains

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  • Dominguez, Roberto
  • Cannella, Salvatore
  • Framinan, Jose M.

Abstract

The closed-loop dynamics of sustainable supply chains play a key role in their performance, as the reverse flows of returns and remanufactured products entail new sources of uncertainty that alter the normal performance of the supply chain. However most of the studies assume a linear supply chain with a single reverse flow of returns, which is a simplification that may not hold in most of the existent supply chains, which often show more complex structures with several flows of returns. When there are several return flows, a critical decision for the supply chain dynamic performance is whether the remanufacturing process should be centralised (i.e. a single facility jointly remanufactures the returns from all the locations) or decentralised (i.e. the remanufacturing takes place independently in each location). This paper explores the impact of this critical decision on the performance of a divergent closed-loop supply chain with several point-of-sales and reverse flows. A simulation model is developed considering different return rates, information transparency levels, and number of nodes in the supply chain. Findings reveal that a centralized configuration reduces the uncertainty in the reverse flows of remanufactured products, smoothing the production orders of the involved organizations and improving their inventory performance. As a drawback, upstream members of the supply chain may face a higher uncertainty due to some correlation of orders. As such, this configuration may not be recommended in long supply chains with a significant number of return flows and high average return volumes, unless there is a high transparency of information. Furthermore, guidelines for managers are provided in order to reduce the bullwhip effect when implementing these circular economy practices.

Suggested Citation

  • Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2021. "Remanufacturing configuration in complex supply chains," Omega, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:jomega:v:101:y:2021:i:c:s0305048319309089
    DOI: 10.1016/j.omega.2020.102268
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    1. Modak, Nikunja Mohan & Kazemi, Nima & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "Investigating structure of a two-echelon closed-loop supply chain using social work donation as a Corporate Social Responsibility practice," International Journal of Production Economics, Elsevier, vol. 207(C), pages 19-33.
    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. Sadok Turki & Stanislav Didukh & Christophe Sauvey & Nidhal Rezg, 2017. "Optimization and Analysis of a Manufacturing–Remanufacturing–Transport–Warehousing System within a Closed-Loop Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-20, April.
    4. Kim, Jeon G. & Chatfield, Dean & Harrison, Terry P. & Hayya, Jack C., 2006. "Quantifying the bullwhip effect in a supply chain with stochastic lead time," European Journal of Operational Research, Elsevier, vol. 173(2), pages 617-636, September.
    5. 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.
    6. Rekik, Y. & Glock, C. H. & Syntetos, A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 85375, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Govindan, Kannan & Kadziński, Miłosz & Ehling, Ronja & Miebs, Grzegorz, 2019. "Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA," Omega, Elsevier, vol. 85(C), pages 1-15.
    8. 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.
    9. Claver Diallo & Uday Venkatadri & Abdelhakim Khatab & Sriram Bhakthavatchalam, 2017. "State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1277-1296, March.
    10. Suchao He & Xigang Yuan & Xiaoqing Zhang, 2016. "The Government’s Environment Policy Index Impact on Recycler Behavior in Electronic Products Closed-Loop Supply Chain," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-8, March.
    11. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2019. "Nonlinear modeling and performance analysis of a closed-loop supply chain in the presence of stochastic noise," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 25(5), pages 499-521, September.
    12. Nadine Kafa & Yasmina Hani & Abederrahman El Mhamedi, 2018. "Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 14-49, March.
    13. Borja Ponte & Xun Wang & David de la Fuente & Stephen M. Disney, 2017. "Exploring nonlinear supply chains: the dynamics of capacity constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 4053-4067, July.
    14. Accorsi, Riccardo & Cascini, Alessandro & Cholette, Susan & Manzini, Riccardo & Mora, Cristina, 2014. "Economic and environmental assessment of reusable plastic containers: A food catering supply chain case study," International Journal of Production Economics, Elsevier, vol. 152(C), pages 88-101.
    15. Xi gang Yuan & Xiao qing Zhang, 2015. "Recycler Reaction for the Government Behavior in Closed-Loop Supply Chain Distribution Network: Based on the System Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-11, August.
    16. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    17. Difrancesco, Rita Maria & Huchzermeier, Arnd & Schröder, David, 2018. "Optimizing the return window for online fashion retailers with closed-loop refurbishment," Omega, Elsevier, vol. 78(C), pages 205-221.
    18. Rekik, Yacine & Glock, Christoph H. & Syntetos, Aris A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," European Journal of Operational Research, Elsevier, vol. 261(1), pages 182-194.
    19. 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.
    20. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    21. James D. Abbey & V. Daniel R. Guide, 2018. "A typology of remanufacturing in closed-loop supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 374-384, January.
    22. Ponte, Borja & Costas, José & Puche, Julio & Pino, Raúl & de la Fuente, David, 2018. "The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 165-185.
    23. Sarkar, Biswajit & Guchhait, Rekha & Sarkar, Mitali & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 243-257.
    24. Disney, Stephen M. & Maltz, Arnold & Wang, Xun & Warburton, Roger D.H., 2016. "Inventory management for stochastic lead times with order crossovers," European Journal of Operational Research, Elsevier, vol. 248(2), pages 473-486.
    25. Roberto Domínguez & Jose M. Framinan, 2013. "A decision management tool: modelling the order fulfilment process by multi-agent systems," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 12(3), pages 240-258.
    26. Dev, Navin K. & Shankar, Ravi & Choudhary, Alok, 2017. "Strategic design for inventory and production planning in closed-loop hybrid systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 345-353.
    27. 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.
    28. Disney, Stephen M. & Lambrecht, Marc R., 2008. "On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 2(1), pages 1-80, April.
    29. Disney, S. M. & Towill, D. R., 2003. "The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 199-215, August.
    30. 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.
    31. Genovese, Andrea & Acquaye, Adolf A. & Figueroa, Alejandro & Koh, S.C. Lenny, 2017. "Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications," Omega, Elsevier, vol. 66(PB), pages 344-357.
    32. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    33. Xiao-qing Zhang & Xi-gang Yuan, 2016. "The System Dynamics Model in Electronic Products Closed-Loop Supply Chain Distribution Network with Three-Way Recovery and the Old-for-New Policy," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-10, May.
    34. Gaur, Jighyasu & Amini, Mehdi & Rao, A.K., 2017. "Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model," Omega, Elsevier, vol. 66(PB), pages 212-223.
    35. He, Yuanjie, 2015. "Acquisition pricing and remanufacturing decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 163(C), pages 48-60.
    36. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.
    37. Zhou, Li & Naim, Mohamed M. & Ou Tang & Towill, Denis R., 2006. "Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process," Omega, Elsevier, vol. 34(6), pages 585-598, December.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2015. "On returns and network configuration in supply chain dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 152-167.
    43. Syntetos, Aris A. & Kholidasari, Inna & Naim, Mohamed M., 2016. "The effects of integrating management judgement into OUT levels: In or out of context?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 853-863.
    44. 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.
    45. Hayya, Jack C. & Bagchi, Uttarayan & Ramasesh, Ranga, 2011. "Cost relationships in stochastic inventory systems: A simulation study of the (S, S-1, t=1) model," International Journal of Production Economics, Elsevier, vol. 130(2), pages 196-202, April.
    46. 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.
    47. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.
    48. Chatfield, Dean C. & Pritchard, Alan M., 2018. "Crossover aware base stock decisions for service-driven systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 312-330.
    49. Yacine Rekik & Christoph H. Glock & Aris Syntetos, 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions : exploiting judgment and fostering learning," Post-Print hal-02311980, HAL.
    50. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    51. Babai, M.Z. & Boylan, J.E. & Syntetos, A.A. & Ali, M.M., 2016. "Reduction of the value of information sharing as demand becomes strongly auto-correlated," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 130-135.
    52. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    53. Lawrence W. Robinson & James R. Bradley & L. Joseph Thomas, 2001. "Consequences of Order Crossover Under Order-Up-To Inventory Policies," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 175-188, September.
    54. repec:dau:papers:123456789/11427 is not listed on IDEAS
    55. Panda, Shibaji & Modak, Nikunja Mohan & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Coordinating a socially responsible closed-loop supply chain with product recycling," International Journal of Production Economics, Elsevier, vol. 188(C), pages 11-21.
    56. Ullah, Mehran & Sarkar, Biswajit, 2020. "Recovery-channel selection in a hybrid manufacturing-remanufacturing production model with RFID and product quality," International Journal of Production Economics, Elsevier, vol. 219(C), pages 360-374.
    57. Haddadsisakht, Ali & Ryan, Sarah M., 2018. "Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax," International Journal of Production Economics, Elsevier, vol. 195(C), pages 118-131.
    58. 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.
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