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Reverse logistics network design: a case of mobile phones and digital cameras

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Abstract

The world is producing electrical and electronic waste (e-waste) more than ever before. According to a UN study, between 2009 and 2014, the global annual production of electronic waste has been approximately fixed at 42 million tonnes. The improper and unscientific disposal of e-waste is a big threat to the environment. The purpose of this paper is to develop a mathematical model for the network design of a multi-product, multi-echelon reverse logistics system. Different recovery options such as remanufacturing, repairing and recycling are considered in this study. Based on the residual value of the used product, the returns are graded into two categories—low product residual value (PRV) and high PRV returns. Although the process of grading results in additional grading costs, it assists the decision maker in choosing appropriate recovery option. An integer linear programming formulation is used to model and solve the problem. Two commonly used consumer electronic goods, mobile phones and digital cameras, are considered for validation. The proposed model determines the optimal number and location of different facilities to be established. By way of explicit consideration of the product structure, the analysis is carried out down to the level of components across the different stages of the supply chain. Further, detailed analysis is performed to determine minimum quantities of high PRV returns for a remanufacturing facility to be economically viable. The results provide interesting information about the relevance of quantum of products with high PRV on the network design decisions. Also, the results underscore the importance of transportation costs on the overall profitability of the reverse supply chain.

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References

  1. Robinson BH (2009) E-waste: an assessment of global production and environmental impacts. Sci Total Environ 408(2):183–191

    Article  Google Scholar 

  2. Balde CP, Kuehr R, Blumenthal K, Fondeur Gill S, Kern M, Micheli P, Magpantay E, Huisman J (2015) E-waste statistics: guidelines on classifications, reporting and indicators. United Nations University, IAS - SCYCLE, Bonn

    Google Scholar 

  3. Wang Z, Zhang B, Guan D (2016) Take responsibility for electronic-waste disposal. Nature 536:23–25

    Article  Google Scholar 

  4. He W, Li G, Ma X, Wang H, Huang J, Xu M, Huang C (2006) WEEE recovery strategies and the WEEE treatment status in China. J Hazard Mater 136(3):502–512

    Article  Google Scholar 

  5. Üster H, Easwaran G, Akçal E, Çetinkaya S (2007) Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model. Nav Res Logist 54(8):890–907

    Article  MathSciNet  MATH  Google Scholar 

  6. Dat LQ, Linh DTT, Chou S-Y, Yu VF (2012) Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products. Expert Syst Appl 39(7):6380–6387

    Article  Google Scholar 

  7. Alumur SA, Nickel S, Saldanha-da-Gama F, Verter V (2012) Multi-period reverse logistics network design. Eur J Oper Res 220(1):67–78

    Article  MathSciNet  MATH  Google Scholar 

  8. Thierry M, Salomon M, Van Nunen J, Van Wassenhove L (1995) Strategic issues in product recovery management. Calif Manag Rev 37(2):114–135

    Article  Google Scholar 

  9. Gobbi C (2011) Designing the reverse supply chain: the impact of the product residual value. Int J Phys Distrib Logist Manag 41(8):768–796

    Article  Google Scholar 

  10. Aras N, Boyaci T, Verter V (2010) Designing the reverse logistics network. In: Ferguson M, Souza G (eds) Closed loop supply chains: new developments to improve the sustainability of business practices. CRC Press, Boca Raton, pp 67–98

    Chapter  Google Scholar 

  11. Govindan K, Soleimani H, Kannan D (2015) Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future. Eur J Oper Res 240(3):603–626

    Article  MathSciNet  MATH  Google Scholar 

  12. Govindan K, Soleimani H (2017) A review of reverse logistics and closed-loop supply chains: a journal of cleaner production focus. J Clean Prod 142(1):371–384

    Article  Google Scholar 

  13. Guide VDR Jr, Van Wassenhove LN (2001) Managing product returns for remanufacturing. Prod Oper Manag 10(2):142–155

    Article  Google Scholar 

  14. Guide VDR Jr, Van Wassenhove LN (2009) OR FORUM—the evolution of closed-loop supply chain research. Oper Res 57(1):10–18

    Article  MATH  Google Scholar 

  15. Alfonso-Lizarazo EH, Montoya-Torres JR, Gutiérrez-Franco E (2013) Modeling reverse logistics process in the agro-industrial sector: the case of the palm oil supply chain. Appl Math Model 37(23):9652–9664

    Article  Google Scholar 

  16. Mahmoudzadeh M, Mansou S, Karimi B (2013) To develop a third-party reverse logistics network for end-of-life vehicles in Iran. Resour Conserv Recycl 78:1–14

    Article  Google Scholar 

  17. Mirakhorli A (2014) Fuzzy multi-objective optimization for closed loop logistics network design in bread-producing industries. Int J Adv Manuf Technol 70(1–4):349–362

    Article  Google Scholar 

  18. Matar N, Jaber MY, Searcy C (2014) A reverse logistics inventory model for plastic bottles. Int J Logist Manag 25(2):315–333

    Article  Google Scholar 

  19. Demirel E, Demirel N, Gökçen H (2016) A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey. J Clean Prod 112:2101–2113

    Article  Google Scholar 

  20. Chen M, Abrishami P (2014) A mathematical model for production planning in hybrid manufacturing-remanufacturing systems. Int J Adv Manuf Technol 71(5–8):1187–1196

    Article  Google Scholar 

  21. Wang H-F, Hsu H-W (2010) A closed-loop logistic model with a spanning-tree based genetic algorithm. Comput Oper Res 37(2):376–389

    Article  MATH  Google Scholar 

  22. Min H, Ko H-J, Ko CS (2006) A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega 34(1):56–69

    Article  Google Scholar 

  23. Lee D-H, Dong M (2008) A heuristic approach to logistics network design for end-of-lease computer products recovery. Transport Res E-Log 44(3):455–474

    Article  Google Scholar 

  24. Lu Z, Bostel N (2007) A facility location model for logistics systems including reverse flows: the case of remanufacturing activities. Comput Oper Res 34(2):299–323

    Article  MathSciNet  MATH  Google Scholar 

  25. Zhou Y, Wang S (2008) Generic model of reverse logistics network design. J Transp Syst Eng Inf Technol 8(3):71–78

    Google Scholar 

  26. Pishvaee MS, Kianfar K, Karimi B (2010) Reverse logistics network design using simulated annealing. Int J Adv Manuf Technol 47(1–4):269–281

    Article  Google Scholar 

  27. Diabat A, Kannan D, Kaliyan M, Svetinovic D (2013) An optimization model for product returns using genetic algorithms and artificial immune system. Resour Conserv Recycl 74:156–169

    Article  Google Scholar 

  28. Sasikumar P, Kannan G, Haq AN (2010) A multi-echelon reverse logistics network design for product recovery—a case of truck tire remanufacturing. Int J Adv Manuf Technol 49(9–12):1223–1234

    Article  Google Scholar 

  29. Demirel NÖ, Gökçen H (2008) A mixed integer programming model for remanufacturing in reverse logistics environment. Int J Adv Manuf Technol 39(11–12):1197–1206

    Article  Google Scholar 

  30. Min H, Ko H-J (2008) The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers. Int J Prod Econ 113(1):176–192

    Article  Google Scholar 

  31. Pishvaee MS, Jolai F, Razmi J (2009) A stochastic optimization model for integrated forward/reverse logistics network design. J Manuf Syst 28(4):107–114

    Article  Google Scholar 

  32. Santibanez-Gonzalez ED, Diabat A (2013) Solving a reverse supply chain design problem by improved benders decomposition schemes. Comput Ind Eng 66(4):889–898

    Article  Google Scholar 

  33. Roghanian E, Pazhoheshfar P (2014) An optimization model for reverse logistics network under stochastic environment by using genetic algorithm. J Manuf Syst 33(3):348–356

    Article  Google Scholar 

  34. Hashemi E, Tavakkoli-Moghaddam R, Bashiri M (2015) Proposing multi-objective mathematical model for design of multi-product forward and reverse logistics network. Int J Appl Res Ind Eng 1(4):208–229

    Google Scholar 

  35. Diabat A, Abdallah T, Henschel A (2015) A closed-loop location-inventory problem with spare parts consideration. Comput Oper Res 54:245–256

    Article  MathSciNet  MATH  Google Scholar 

  36. Hatefi SM, Jolai F, Torabi SA, Tavakkoli-Moghaddam R (2015) A credibility-constrained programming for reliable forward–reverse logistics network design under uncertainty and facility disruptions. Int J Comput Integr Manuf 28(6):664–678

    Article  Google Scholar 

  37. Alshamsi A, Diabat A (2015) A reverse logistics network design. J Manuf Syst 37(3):589–598

    Article  Google Scholar 

  38. Listes O, Dekker R (2005) A stochastic approach to a case study for product recovery network design. Eur J Oper Res 160:268–287

    Article  MATH  Google Scholar 

  39. Lieckens K, Vandaele N (2007) Reverse logistics network design with stochastic lead times. Comput Oper Res 34(2):395–416

    Article  MATH  Google Scholar 

  40. Lee DH, Dong M (2009) Dynamic network design for reverse logistics operations under uncertainty. Transp Res E-Log 45(1):61–71

    Article  MathSciNet  Google Scholar 

  41. Fonseca M, Garcia-Sanchez A, Ortega-Mier M, Saldanha-da-Gama F (2010) A stochastic bi-objective location model for strategic reverse logistics. TOP 18:158–184

    Article  MathSciNet  MATH  Google Scholar 

  42. Niknejad A, Petrovic D (2014) Optimization of reverse logistics networks with different product recovery routes. Eur J Oper Res 238:143–154

    Article  MATH  Google Scholar 

  43. Eskandarpour M, Masehian E, Soltani R, Khosrojerdi A (2014) A reverse logistics network for recovery systems and a robust metaheuristic solution approach. Int J Adv Manuf Technol 74(9–12):1393–1406

    Article  Google Scholar 

  44. John ST, Sridharan R (2015) Effect of grading of product return on the network design of a reverse supply chain: a comparative study. Int J Appl Manag Sci 7(2):142–163

    Article  Google Scholar 

  45. John ST, Sridharan R (2015) Modelling and analysis of network design for a reverse supply chain. J Manuf Technol Manag 26(6):853–867

    Article  Google Scholar 

  46. John ST, Sridharan R, Ram Kumar PN (2017) Multi-period reverse logistics network design with emission cost. Int J Logist Manag 28(1):127–149

    Article  Google Scholar 

  47. Jayaraman V, Patterson RA, Rolland E (2003) The design of reverse distribution networks: models and solution procedures. Eur J Oper Res 150(1):128–149

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, Viswajyothi College of Engineering and Technology, Muvattupuzha, Kerala, 686670, India

    Sajan T. John

  2. Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut, Kerala, 673601, India

    R. Sridharan

  3. Quantitative Methods and Operations Management Area, Indian Institute of Management Kozhikode, Calicut, Kerala, 673570, India

    P. N. Ram Kumar

Authors
  1. Sajan T. John
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  2. R. Sridharan
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  3. P. N. Ram Kumar
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Correspondence to P. N. Ram Kumar.

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John, S.T., Sridharan, R. & Ram Kumar, P.N. Reverse logistics network design: a case of mobile phones and digital cameras. Int J Adv Manuf Technol 94, 615–631 (2018). https://doi.org/10.1007/s00170-017-0864-2

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  • DOI: https://doi.org/10.1007/s00170-017-0864-2

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