Skip to main content
SpringerLink
Log in

Analysing Interactions among Battery Recycling Barriers in the Reverse Supply Chain

  • Chapter
Enterprise Networks and Logistics for Agile Manufacturing

Abstract

Because of growing environmental concerns and possible cost reductions in the total supply chain, original equipment manufacturers are under pressure to take back their used or end-of-life (EOL) products through reverse supply chain systems. Recycling is widely accepted as a sustainable supply chain management method because of its potential to reduce disposal costs and waste transport costs, and to prolong the lifespan of sanitary landfill sites. Individuals recycle for various reasons, but the basic principle is that of environmental concerns. For increasing participation in recycling, it is necessary to understand what motivates people to recycle and what discourages them. It involves a complex chain of behaviours that involves government legislation, financial support, local governmental support through policy decisions, education, and distribution of information and services that encourage recycling. The main objective of this research work is to identify the major barriers facing a battery recycling system and to analyse the interaction among these barriers. For this purpose, an interpretive structural modelling (ISM) approach is used to understand the mutual influences among the barriers so that driving barriers, which can aggravate other barriers, and independent barriers, which are most influenced by driving barriers, can be identified. By analysing the barriers using this model, we may find the crucial barriers that hinder the recycling activities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rogers, D.S. and Tibben-Lembke, R., 1999, Going Backwards: Reverse Logistics Trends and Practices, Reverse Logistics Executive Council, Reno, NV.

    Google Scholar 

  2. Carter, C.R. and Ellram, L.M., 1998, “Reverse logistics: a review of the literature and framework for future investigation,” Journal of Business Logistics, 19(1), pp. 85–102.

    Google Scholar 

  3. Beullens, P., 2004, “Reverse logistics in effective recovery of products from waste materials,” Reviews in Environmental Science and Bio/Technology, 3, pp. 283–306.

    Article  Google Scholar 

  4. Prahinski, C. and Kocabasoglu, C., 2006, “Empirical research opportunities in reverse supply chains,” Omega, 34(6), pp. 519–532.

    Article  Google Scholar 

  5. Srivastava, S.K., 2007, “Green supply-chain management: a state-of-the-art literature review,” International Journal of Management Reviews, 9(1), pp. 53–80.

    Article  Google Scholar 

  6. Rubio, S., Chamorro, A. and Miranda, F.J., 2008, “Characteristics of the research on reverse logistics (1995-2005),” International Journal of Production Research, 46(4), pp. 1099–1120.

    Article  MATH  Google Scholar 

  7. Sasikumar, P. and Kannan, G., 2009, “Issues in reverse supply chain, part III: classification and simple analysis,” International Journal of Sustainable Engineering, 2(1), pp. 2–27.

    Article  Google Scholar 

  8. Thierry, M., Salomon, M., Van Nunen, J. and Van Wassenhove, L., 1995, “Strategic issues in product recovery management,” California Management Review, 37(2), pp. 114–135.

    Google Scholar 

  9. Dekker, R., Fleischmann, M., Inderfurth, K. and Van Wassenhove, L.N., 2004, Reverse Logistics – Quantitative Models for Closed Loop Supply Chains, Springer, New York.

    Google Scholar 

  10. Moyer, L. and Gupta, S.M., 1997, “Environmental concerns and recycling/ disassembly efforts in the electronics industry,” Journal of Electronics Manufacturing, 7(1), pp. 1–22.

    Article  Google Scholar 

  11. Gungor, A. and Gupta, S.M., 1999, “Issues in environmentally conscious manufacturing and product recovery: a survey,” Computers and Industrial Engineering, 36(4), pp. 811–853.

    Article  Google Scholar 

  12. Johnson, M.R. and Wang, M.H., 1995, “Planning product disassembly for material recovery opportunities,” International Journal of Production Research, 33(11), pp. 3119–3142.

    Article  MATH  Google Scholar 

  13. Sasikumar, P. and Kannan, G., 2008, “Issues in reverse supply chain, part I: classification and simple analysis,” International Journal of Sustainable Engineering, 1(3), pp. 154–172.

    Article  Google Scholar 

  14. Pohlen, T.L. and Farris, M.T., 1992, “Reverse logistics in plastics recycling,” International Journal of Physical Distribution and Logistics Management, 22(7), pp. 35–47.

    Article  Google Scholar 

  15. Pati, R.K., Vrat, P. and Kumar, P., 2008, “A goal programming model for paper recycling system,” Omega, 36(3), pp. 405–417.

    Article  Google Scholar 

  16. González-Torre, P.L. and Adenso-Díaz, B., 2006, “Reverse logistics practices in the glass sector in Spain and Belgium,” International Business Review, 15(5), pp. 527–546.

    Article  Google Scholar 

  17. Ayres, R.U., 1997, “Metals recycling: economic and environmental implications,” Resources, Conservation and Recycling, 21, pp. 145–173.

    Article  Google Scholar 

  18. Spengler, T., Püchert, H., Penkuhn, T. and Rentz, O., 1997, “Environmental integrated production and recycling management,” European Journal of Operational Research, 97 (2), pp. 308–326.

    Article  MATH  Google Scholar 

  19. Khoei, A.R., Masters, I. and Gethin, D.T., 2002, “Design optimization of aluminium recycling processes using Taguchi technique,” Journal of Materials Processing Technology, 127, pp. 96–106.

    Article  Google Scholar 

  20. Logozar, K., Radonjic, G. and Bastic, M., 2006, “Incorporation of reverse logistics model into in-plant recycling process: a case of aluminium industry,” Resources, Conservation and Recycling, 49(1), pp. 49–67.

    Article  Google Scholar 

  21. Wright, E., Azapagic, A., Stevens, G., Mellor, W. and Clift, R., 2005, “Improving recyclability by design: a case study of fibre optic cable,” Resources, Conservation and Recycling, 44(1), pp. 37–50.

    Article  Google Scholar 

  22. Barros, A.I., Dekker, R. and Scholten, V., 1998, “A two-level network for recycling sand: a case study,” European Journal of Operational Research, 110(2), pp. 199–214.

    Article  MATH  Google Scholar 

  23. Nagurney, A. and Toyasaki, F., 2005, “Reverse supply chain management and electronic waste recycling: a multitiered network equilibrium framework for ecycling,” Transportation Research Part E: Logistics and Transportation Review, 41(1), pp. 1–28.

    Article  Google Scholar 

  24. Ammons, J.C., Realff, M.J. and Newton, D., 1999, “Carpet recycling: determining the reverse production system design,” Journal of Polymer-Plastics Technology and Engineering, 38(3), pp. 547–567.

    Article  Google Scholar 

  25. Louwers, D., Kip, B.J., Peters, E., Souren, F. and Flapper, S.D.P., 1999, “A facility location allocation model for reusing carpet material,” Computers and Industrial Engineering, 36(4), pp. 855–869.

    Article  Google Scholar 

  26. Realff, M.J., Ammons, J.C. and Newton, D.J., 2004, “Robust reverse production system design for carpet recycling,” IIE Transactions, 36(8), pp. 767–776.

    Article  Google Scholar 

  27. Biehl, M., Prater, E. and Realff, M.J., 2007, “Assessing performance and uncertainty in developing carpet reverse logistics systems,” Computers & Operations Research, 34(2), pp. 443–463.

    Article  MATH  Google Scholar 

  28. Jolly, R. and Rhin, C., 1994, “The recycling of lead batteries: production of lead and polypropylene,” Resources Conservation and Recycling, 10, pp. 137–143.

    Article  Google Scholar 

  29. Muzi, A., 1995, “Collection of spent batteries in Rome,” Journal of Power Sources, 57, pp. 19–21.

    Article  Google Scholar 

  30. Phillips, M.J. and Lim, S.S., 1998, “Secondary lead production in Malaysia,” Journal of Power Sources, 73, pp. 11–16.

    Article  Google Scholar 

  31. Frost, P.C., 1999, “Developments in lead–acid batteries: a lead producer’s perspective,” Journal of Power Sources, 78, pp. 256–266.

    Article  Google Scholar 

  32. Zabaniotou, A., Kouskoumvekaki, E. and Sanopoulos, D., 1999, “Recycling of spent lead/acid batteries: the case of Greece,” Resources, Conservation and Recycling, 25(3–4), pp. 301–317.

    Article  Google Scholar 

  33. Tsoulfas, G.T., Pappis, C.T. and Minner, S., 2002, “An environmental analysis of the reverse supply chain of SLI batteries,” Resources, Conservation and Recycling, 36(2), pp. 135–154.

    Article  Google Scholar 

  34. Daniel, S.E., Pappis, C.P. and Voutsinas, T.G., 2003, “Applying life cycle inventory to reverse supply chains: a case study of lead recovery from batteries,” Resources, Conservation and Recycling, 37, pp. 251–281.

    Article  Google Scholar 

  35. Kannan, G., Sasikumar, P. and Devika, K., 2010, “A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling,” Applied Mathematical Modelling, 34(3), pp. 655–670.

    Article  MATH  MathSciNet  Google Scholar 

  36. Espinosa, D.C.R., Bernardes, A.M. and Tenório, A.S., 2004, “Brazilian policy on battery disposal and its practical effects on battery recycling,” Journal of Power Sources, 137, pp. 134–139.

    Google Scholar 

  37. Andrews, D., Raychaudhuri, A. and Frias, C., 2000, “Environmentally sound technologies for recycling secondary lead,” Journal of Power Sources, 88, pp. 124–129.

    Article  Google Scholar 

  38. Bernardes, A.M., Espinosa, D.C.R. and Tenório, J.A.S., 2004, “Recycling of batteries: a review of current processes and technologies,” Journal of Power Sources, 130, pp. 291–298.

    Article  Google Scholar 

  39. Bloemhof-Ruwaard, J.M., Van Beek, P., Hordijk, L. and Van Wassenhove, L.N., 1995, “Interactions between operational research and environmental management,” European Journal of Operational Research, 85(2), pp. 229–243.

    Article  MATH  Google Scholar 

  40. Van Hoek, R.I., 1999, “From reversed logistics to green supply chains,” Supply Chain Management, 4(3), pp. 129–135.

    Article  Google Scholar 

  41. Zhu, Q. and Sarkis, J., 2004, “Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises,” Journal of Operations Management, 22(3), pp. 265–289.

    Article  Google Scholar 

  42. Georgiadis, P. and Vlachos, D., 2004, “The effect of environmental parameters on product recovery,” European Journal of Operational Research, 157(2), pp. 449–464.

    Article  MATH  Google Scholar 

  43. Sheu, J.B., Chou, Y.H. and Hu, C.C., 2005, “An integrated logistics operational model for green-supply chain management,” Transportation Research Part E: Logistics and Transportation Review, 41(4), pp. 287–313.

    Article  Google Scholar 

  44. Vlachos, D., Georgiadis, P. and Iakovou, E., 2007, “A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains,” Computers & Operations Research, 34, pp. 367–394.

    Article  MATH  Google Scholar 

  45. Carlson, R.L., 1985, “The impact of materials recycling programs on energy recovery economics,” Journal of Resource Management and Technology, 15(1), pp. 28–36.

    Google Scholar 

  46. Johnson, P.F., 1998, “Managing value in reverse logistics systems,” Transportation Research Part E: Logistics and Transportation Review, 34(3), pp. 217–227.

    Article  Google Scholar 

  47. Krikke, H.R., Van Harten, A. and Schuur, P.C., 1999, “Business case Roteb: recovery strategies for monitors,” Computers & Industrial Engineering, 36(4), pp. 739–757.

    Article  Google Scholar 

  48. Boon, J.E., Isaacs, J.A. and Gupta, S.M., 2002, “Economic sensitivity for end of life planning and processing of personal computers,” Journal of Electronics Manufacturing, 11(1), pp. 81–93.

    Article  Google Scholar 

  49. Hoyle, G., 1995, “Recycling opportunities in the UK for aluminium-bodied motor cars,” Resources, Conservation and Recycling, 15, pp. 181–191.

    Article  Google Scholar 

  50. Degher, A., 2002, “HP’s worldwide take back and recycling programs: lessons on improving program implementation,” In Proceedings of IEEE International Symposium on Electronics and the Environment, pp. 224–227.

    Google Scholar 

  51. Spicer, A.J. and Johnson, M.R., 2004, “Third-party demanufacturing as a solution for extended producer responsibility,” Journal of Cleaner Production, 12(1), pp. 37–45.

    Article  Google Scholar 

  52. Bufardi, A., Gheorghe, R., Kiritsis, D. and Xirouchakis, P., 2004, “Multi-criteria decision-aid approach for product end-of-life alternative selection,” International Journal of Production Research, 42, pp. 3139–3157.

    Article  Google Scholar 

  53. Ravi, V., Shankar, R. and Tiwari, M.K., 2005, “Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach,” Computers & Industrial Engineering, 48(2), pp. 327–356.

    Article  Google Scholar 

  54. Listes, O. and Dekker, R., 2005, “A stochastic approach to a case study for product recovery network design,” European Journal of Operational Research, 160(1), pp. 268–287.

    Article  MATH  Google Scholar 

  55. Pati, R.K., Vrat, P. and Kumar, P., 2006, “Economic analysis of paper recycling vis-à-vis wood as raw material,” International Journal of Production Economics, 103, pp. 489–508.

    Article  Google Scholar 

  56. Bian, W. and Yu, M., 2006, “Location analysis of reverse logistics operations for an international electrical manufacturer in Asia Pacific region using the analytic hierarchy process,” International Journal of Services Operations and Informatics, 1(1–2), pp. 187–201.

    Google Scholar 

  57. Staikos, T. and Rahimifard, S., 2007, “A decision-making model for waste management in the footwear industry,” International Journal of Production Research, 45(18), pp. 4403–4422.

    Article  MATH  Google Scholar 

  58. Pagell, M., Wu, Z. and Murthy, N.N., 2007, “The supply chain implications of recycling,” Business Horizons, 50, pp. 133–143.

    Article  Google Scholar 

  59. Queiruga, D., Walther, G., Gonzalez-Benito, J. and Spengler, T., 2008, “Evaluation of sites for the location of WEEE recycling plants in Spain,” Waste Management, 28, pp. 181–190.

    Article  Google Scholar 

  60. Ravi, V., Shankar, R. and Tiwari, M.K., 2008, “Selection of a reverse logistics project for end-of-life computers: ANP and goal programming approach,” International Journal of Production Research, 46(17), pp. 4849–4870.

    Article  MATH  Google Scholar 

  61. Kannan, G., Haq, A.N. and Sasikumar, P., 2008, “An application of the analytical hierarchy process and fuzzy analytical hierarchy process in the selection of collecting centre location for the reverse logistics multi-criteria decision-making supply chain model,” International Journal of Management and Decision Making, 9(4), pp. 350–365.

    Article  Google Scholar 

  62. Gomes, C.F.S., Nunes, K.R.A., Xavier, L.H., Cardoso, R. and Valle, R., 2008, “Multi-criteria decision making applied to waste recycling in Brazil,” Omega, 36, pp. 395–404.

    Article  Google Scholar 

  63. Wadhwa, S., Madaan, J. and Chan, F.T.S., 2009, “Flexible decision modeling of reverse logistics system: a value adding MCDM approach for alternative selection,” Robotics and Computer-Integrated Manufacturing, 25(2), pp. 460–469.

    Article  Google Scholar 

  64. Warfield, J.W., 1974, “Developing interconnected matrices in structural modelling,” IEEE Transactions on Systems, Men and Cybernetics, 4(1), pp. 51–81.

    Google Scholar 

  65. Sage, A.P., 1977, Interpretive Structural Modeling: Methodology for Large-scale Systems, McGraw-Hill, New York.

    Google Scholar 

  66. Saxena, J.P., Sushil and Vrat, P., 1990, “The impact of indirect relationships in classification of variables – a MICMAC analysis for energy conservation,” System Research, 7(4), pp. 245–253.

    Google Scholar 

  67. Saxena, J.P., Sushil and Vrat, P., 1992, “Scenario building: a critical study of energy conservation in the Indian cement industry,” Technological Forecasting and Social Change, 41(2), pp. 121–146.

    Article  Google Scholar 

  68. Mandal, A. and Deshmukh, S.G., 1994, “Vendor selection using interpretive structural modelling (ISM),” International Journal of Operations and Production Management, 14(6), pp. 52–59.

    Article  Google Scholar 

  69. Sharma, H.D., Gupta. A.D. and Sushil, 1995, “The objectives of waste management in India: a futures inquiry,” Technological Forecasting and Social Change, 48(3), pp. 285–309.

    Article  Google Scholar 

  70. Singh, M.D., Shankar, R., Narain, R. and Agarwal, A., 2003, “An interpretive structural modeling of knowledge management in engineering industries,” Journal of Advances in Management Research, 1(1), pp. 28–40.

    Article  Google Scholar 

  71. Huang, J.J., Tzeng, G.H. and Ong, C.S., 2005, “Multidimensional data in multidimensional scaling using the analytic network process,” Pattern Recognition Letters, 26(6), pp. 755–767.

    Article  MathSciNet  Google Scholar 

  72. Ravi, V. and Shankar, R., 2005, “Analysis of interactions among the barriers of reverse logistics,” Technological Forecasting and Social Change, 72(8), pp. 1011–1029.

    Article  Google Scholar 

  73. Kannan, G. and Haq, A.N., 2007, “Analysis of interactions of criteria and subcriteria for the selection of supplier in the built-in-order supply chain environment”, International Journal of Production Research, 45(17), pp. 3831–3852.

    Article  MATH  Google Scholar 

  74. Kannan, G., Haq, A.N., Sasikumar, P. and Arunachalam, S., 2008, “Analysis and selection of green suppliers using interpretative structural modeling and analytic hierarchy process,” International Journal of Management and Decision Making, 9(2), pp. 163–182.

    Article  Google Scholar 

  75. Singh, M.D. and Kant, R., 2008, “Knowledge management barriers: an interpretive structural modelling approach,” International Journal of Management Science and Engineering Management, 3(2), pp. 141–150.

    Google Scholar 

  76. Vivek, S.D., Banwet, D.K. and Shankar, R., 2008, “Analysis of interactions among core, transaction and relationship-specific investments: the case of offshoring,” Journal of Operations Management, 26, pp. 180–197.

    Article  Google Scholar 

  77. Raj, T., Shankar, R. and Suhaib, M., 2008, “An ISM approach for modelling the enablers of flexible manufacturing system: the case for India,” International Journal of Production Research, 46(24), pp. 6883–6912.

    Article  Google Scholar 

  78. Kannan, G., Pokharel, S. and SasiKumar, P. 2009, “A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider,” Resources, Conservation and Recycling, 54(1), pp. 28–36.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Production Engineering, National Institute of Technology, 620 015, Tiruchirappalli, India

    P. Sasikumar & A. Noorul Haq

Authors
  1. P. Sasikumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Noorul Haq
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Virtual Systems Research Centre, Intelligent Automation, University of Skövde, PO Box 408, 541 28, Skövde, Sweden

    Lihui Wang

  2. Management School, Logistics and Supply Chain Management (LSCM) Research Centre, Sheffield University, 9 Mappin Street, S1 4DT, Sheffield, UK

    S.C. Lenny Koh

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag London Limited

About this chapter

Cite this chapter

Sasikumar, P., Haq, A. (2010). Analysing Interactions among Battery Recycling Barriers in the Reverse Supply Chain. In: Wang, L., Koh, S. (eds) Enterprise Networks and Logistics for Agile Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84996-244-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-84996-244-5_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-243-8

  • Online ISBN: 978-1-84996-244-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation