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Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider

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Abstract

The increasing pressure due to legislation and various public policies has prompted manufacturers to seriously take into consideration the impact of electronic waste. To overcome this challenge, several manufacturers have incorporated reverse logistics into their business lines. Due to a lack of resources and/or managerial expertise, several companies choose to outsource product recovery activities to third parties. The growing demand has given rise to the number of third party logistics providers, who are assigned the task of efficiently and cost effectively achieving product recovery. The work of the 3PRL’s commences with the collection of returned products from various companies to retrieve maximum value harvested in the form of reusable products, components and materials. Thus, a 3PRLP needs to establish a recovery process able to effectively retrieve value from various types of product. To deal with multiple types of products, the recovery network needs to work with a balanced disassembly line. Thus in this paper we proposes a cost effective reverse logistics network from the perspective of the third party, which integrates the disassembly line balancing in the planning recovery network. This study develops a mixed integer non-linear programming problem for the same. The model is validated using various products from the liquid crystal displays industry.

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References

  • Abdallah, T., Diabat, A., & Rigter, J. (2013). Investigating the option of installing small scale PVs on facility rooftops in a green supply chain. International Journal of Production Economics, 146(2), 465–477.

  • Adebanjo, D., & Xiao, P. (2006). Managing reverse logistics in the Chinese automobile industry. In Proceedings of 2006 IEEE international conference on management of innovation and technology (pp. 834–838).

  • Alhaj, M. A., Svetinovic, D., & Diabat, A. (2016). A carbon-sensitive two-echelon-inventory supply chain model with stochastic demand. Resources, Conservation and Recycling, 108, 82–87.

    Article  Google Scholar 

  • Alshamsi, A., & Diabat, A. (2015). A reverse logistics network design. Journal of Manufacturing Systems, 37(3), 589–598.

    Article  Google Scholar 

  • Altekin, F. T., & Akkan, C. (2012). Task-failure-driven rebalancing of disassembly lines. International Journal of Production Research, 50(18), 4955–4976.

    Article  Google Scholar 

  • Altekin, F. T., Kandiller, L., & Ozdemirel, N. E. (2008). Profit-oriented disassembly-line balancing. International Journal of Production Research, 46(10), 2675–2693.

    Article  Google Scholar 

  • Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources Conservation and Recycling, 108, 182–197.

    Article  Google Scholar 

  • Carter, C. R., & Ellram, L. M. (1998). Reverse logistics–A review of the literature and framework for future investigation. Journal of Business Logistics, 19, 85.

    Google Scholar 

  • Diabat, A. (2014). Hybrid algorithm for a vendor managed inventory system in a two-echelon supply chain. European Journal of Operational Research, 238(1), 114–121.

    Article  Google Scholar 

  • Diabat, A., & Al-Salem, M. (2015). An integrated supply chain problem with environmental considerations. International Journal of Production Economics, 164, 330–338.

    Article  Google Scholar 

  • Diabat, A., Aouam, T., & Ozsen, L. (2009). An evolutionary programming approach for solving the capacitated facility location problem with risk pooling. International Journal of Applied Decision Sciences, 2(4), 389–405.

  • Diabat, A., Battaïa, O., & Nazzal, D. (2015). An improved Lagrangian relaxation-based heuristic for a joint location-inventory problem. Computers & Operations Research, 61, 170–178.

  • Diabat, A., & Govindan, K. (2011). An analysis of the drivers affecting the implementation of green supply chain management. Resources, Conservation and Recycling, 55(6), 659–667.

    Article  Google Scholar 

  • Diabat, A., Khreishah, A., Kannan, G., Panikar, V., & Gunasekaran, A. (2013). Benchmarking the interactions among barriers in third-party logistics implementation: An ISM approach. Benchmarking: An International Journal, 20(6), 805–824.

    Article  Google Scholar 

  • Diabat, A., & Theodorou, E. (2014). An integrated quay crane assignment and scheduling problem. Computers & Industrial Engineering, 73, 115–123.

  • Ding, X. H., Zhang, S. X., Zhang, Y. Y., & Zhong, W. Z. (2010). Pattern of the 3rd party reverselogistics system in ecological industrial park. Advanced Materials Research, 171, 648–653.

    Article  Google Scholar 

  • Dowlatshahi, S. (2000). Developing a theory of reverse logistics. Interfaces, 30(3), 143–155.

    Article  Google Scholar 

  • Effendigil, T., Onüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness. Computer Industrial Engineering, 54(2), 269–287.

    Article  Google Scholar 

  • Ege, Y., Azizoglu, M., & Ozdemirel, N. E. (2009). Assembly line balancing with station paralleling. Computers & Industrial Engineering, 57(4), 1218–1225.

    Article  Google Scholar 

  • Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Laan, E. V., Nunen, J. A., & Wassenhove, L. N. (1997). Quantitative models for reverse logistics: A review. European Journal of Operational research, 103(1), 1–17.

    Article  Google Scholar 

  • Fu, Y.-M., Diabat, A., & Tsai, I.-T. (2014). A multi-vessel quay crane assignment and scheduling problem: Formulation and heuristic solution approach. Expert Systems with Applications, 41(15), 6959–6965.

  • Garg, K., & Jha, P. C. (2012). Single product multi period network design for reverse logistics and remanufacturing using new and old components. Advances in Intelligent Systems and Computing, 202, 393–405.

    Article  Google Scholar 

  • Govindan, K., Garg, K., Gupta, S., & Jha, P. C. (2016a). Effect of product recovery and sustainability enhancing indicators on the location selection of manufacturing facility. Ecological Indicators, 67, 517–532.

  • Govindan, K., Jha, P. C., & Garg, K. (2016b). Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing. International Journal of Production Research, 54(5), 1463–1486.

  • Govindan, K., Paam, P., & Abtahi, A. R. (2016c). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological Indicators, 67, 753–768.

  • Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D. (2012). Analysis of third party reverse logistics provider using interpretive structural modeling. International Journal of Production Economics, 140(1), 204–211.

    Article  Google Scholar 

  • Govindan, K., & Soleimani, H. (2016). A review of reverse logistics and closed-loop supply chains: A journal of cleaner production focus. Journal of Cleaner Production. doi:10.1016/j.jclepro.2016.03.126.

  • Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603–626.

    Article  Google Scholar 

  • Gungor, A., & Gupta, S. M. (2001). A solution approach to the disassembly line balancing problem in the presence of task failures. International Journal of Production Research, 39(7), 1427–1467.

    Article  Google Scholar 

  • Güngör, A., & Gupta, S. M. (2002). Disassembly line in product recovery. International Journal of Production Research, 40(11), 2569–2589.

    Article  Google Scholar 

  • Kang, C. M., & Hong, Y. S. (2012). Dynamic disassembly planning for remanufacturing of multiple types of products. International Journal of Production Research, 50(22), 6236–6248.

    Article  Google Scholar 

  • Kang, J. G., Lee, D. H., Xirouchakis, P., & Persson, J. G. (2001). Parallel disassembly sequencing with sequence-dependent operation times. CIRP Annals-Manufacturing Technology, 50(1), 343–346.

  • Kannan, G. (2009). Fuzzy approach for the selection of third party reverse logistics provider. Asia Pacific Journal of Marketing and Logistics, 21(3), 397–416.

    Article  Google Scholar 

  • Kannan, D., Diabat, A., Alrefaei, M., Govindan, K., & Yong, G. (2012). A carbon footprint based reverse logistics network design model. Resources, Conservation and Recycling, 67, 75–79.

    Article  Google Scholar 

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

  • Kim, H. J., Lee, D. H., & Xirouchakis, P. (2007). Disassembly scheduling: Literature review and future research directions. International Journal of Production Research, 45(18–19), 4465–4484.

    Article  Google Scholar 

  • Koc, A., Sabuncuoglu, I., & Erel, E. (2009). Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph. IIE Transactions, 41(10), 866–881.

    Article  Google Scholar 

  • Krumwiede, D. W., & Sheu, C. (2002). A model for reverse logistics entry by third-party providers. Omega, 30, 325–333.

    Article  Google Scholar 

  • Lambert, A. F., & Gupta, S. M. (2004). Disassembly modeling for assembly, maintenance, reuse and recycling. Boca Raton: CRC Press.

    Book  Google Scholar 

  • Lansink, A. (1980). Vergaderjaar (pp. 15–80).

  • Lee, D. H., Bian, W., & Dong, M. (2007). Multiproduct distribution network design of third-party logistics providers with reverse logistics operations. Transportation Research Record: Journal of the Transportation Research Board, 1, 26–33.

    Article  Google Scholar 

  • Li, X., Li, Y., & Govindan, K. (2014). An incentive model for closed-loop supply chain under the EPR law. Journal of the Operational Research Society, 65(1), 88–96.

    Article  Google Scholar 

  • Mahmoudzadeh, M., Mansour, S., & Karimi, B. (2013). To develop a third-party reverse logistics network for end-of-life vehicles in Iran. Resources, Conservation and Recycling, 78, 1–14.

    Article  Google Scholar 

  • Mahmoudzadeh, M., Mansour, S., Shokoohyar, S., & Karimi B. (2011). Designing and modeling a third-party reverse logistics network for end of life vehicles. In Proceedings of14th international business research conference.

  • Meade, L., & Sarkis, J. (2002). A conceptual model for selecting and evaluating third party reverse logistics providers. Supply Chain Management: An International Journal, 7(5), 283–295.

    Article  Google Scholar 

  • Melachrinoudis, E., Min, H., & Wu, X. (1995). A multiobjective model for the dynamic location of landfills. Location Science, 3(3), 143–166.

    Article  Google Scholar 

  • Min, H. (1989). A bi-criterion reverse distribution model for product recall. Omega, 17(5), 483–490.

    Article  Google Scholar 

  • Min, H., & Ko, H. J. (2008). The dynamic design of a reverse logistics network from the prespective of third party logistics service provider. International Journal of Production Research, 113, 176–192.

    Article  Google Scholar 

  • Özceylan, E., & Paksoy, T. (2013). Reverse supply chain optimisation with disassembly line balancing. International Journal of Production Research, 51(20), 5985–6001.

    Article  Google Scholar 

  • Özceylan, E., Paksoy, T., & Bektaş, T. (2014). Modeling and optimizing the interated problem of closed-loop supply chain network design and disassembly line balancing. Transportation Research Part E: Logistics and Transportation Review, 61, 142–164.

    Article  Google Scholar 

  • Paksoy, T., Bektaş, T., & Özceylan, E. (2011). Operational and environmental performance measures in a multi-product closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 47(4), 532–546.

    Article  Google Scholar 

  • Paksoy, T., Güngör, A., Özceylan, E., & Hancilar, A. (2013). Mixed model disassembly line balancing problem with fuzzy goals. International Journal of Production Research, 51(20), 6082–6096.

    Article  Google Scholar 

  • Rogers, D. S., & Tibben-Lembke, R. S. (1999). Going backwards: Reverse logistics trends and practices (Vol. 2). Pittsburgh, PA: Reverse Logistics Executive Council.

    Google Scholar 

  • Ryan, A., O’Donoghue, L., & Lewis, H. (2011). Characterising components of liquid crystal displays to facilitate disassembly. Journal of Cleaner Production, 19(9), 1066–1071.

    Article  Google Scholar 

  • Santibanez-Gonzalez, E. D. R., & Diabat, A. (2013). Solving a reverse supply chain design problem by improved Benders decomposition schemes. Computers & Industrial Engineering, 66(4), 889–898.

    Article  Google Scholar 

  • Santibanez-Gonzalez, E. D. R. & Diabat, A. (2016). Modeling logistics service providers in a non-cooperative supply chain. Applied Mathematical Modelling, 40(2), 6340–6358.

  • Schwartz, B. (2000). Reverse logistics strengthens supply chain. Transportation and Distribution, 4(5), 95–100.

    Google Scholar 

  • Soleimani, H., & Govindan, K. (2014). Reverse logistics network design and planning utilizing conditional value at risk. European Journal of Operational Research, 237(2), 487–497.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Steed, J. W., & Atwood, J. L. (2009). Supramolecular chemistry (2nd ed., p. 844). Wiley.

  • Thiriez, H. (2000). OR software LINGO. European Journal of Operational Research, 12, 655–656.

    Google Scholar 

  • Voorhees, S. (2009). Worldwide TV Forecasts, Display search, Editor.

  • Wang, J., & Zhu, Y. (2011). Research on third-party reverse logistics provider selection based on fuzzy clustering in perspective of low-carbon economy. Communications in Information Science and Management Engineering, 2(2), 63–66.

  • Wang, H. F., & Hsu, H. W. (2010). A closed-loop logistic model with a spanning-tree based genetic algorithm. Computers & Operations Research, 37(2), 376–389.

    Article  Google Scholar 

  • Zareinejad, M., & Javanmard, H. (2013). Evaluation and selection of a third party reverse logistics provider using ANP and IFG-MCDM methodology. Life Sciences Journal, 10(6), 350–355.

    Google Scholar 

  • Zhang, L., Pan, X., Wang, Z., & Dong, T. (2011). A study on different take-back modes for end-of-life vehicle reverse logistics. Qiche Gongcheng/Automotive Engineering, 33(9), 823–828.

    Google Scholar 

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Authors and Affiliations

  1. Centre for Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Odense M, Denmark

    Devika Kannan

  2. Department of Operational Research, University of Delhi, Delhi, India

    Kiran Garg & P. C. Jha

  3. Department of Engineering Systems and Management, Masdar Institute of Science and Technology, Abu Dhabi, UAE

    Ali Diabat

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  1. Devika Kannan
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  2. Kiran Garg
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  3. P. C. Jha
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  4. Ali Diabat
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Correspondence to Devika Kannan.

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Kannan, D., Garg, K., Jha, P.C. et al. Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider. Ann Oper Res 253, 353–376 (2017). https://doi.org/10.1007/s10479-016-2272-7

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