Journal of Supply Chain Management Systems

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Content Analysis of the Closed-Loop Logistics: A Review


Affiliations
1 Research Center of Modern Logistics, Tsinghua Campus, The University Town, Shenzhen 518055, China
     

   Subscribe/Renew Journal


Recently, closed-loop logistics (forward and reverse logistics) has received more attention due to the customer expectations, increasing environmental concern, and economic aspects. Despite the growing body of literature on this topic, little effort has been devoted to synthesize the research on closed-loop logistics. A literature review is a valid approach and necessary step towards structuring a research field, and forms an integral part of any research conducted. It also helps to identify the conceptual content of the field and can contribute to theory development. The paper presents a literature review on closed-loop logistics by adopting the content analysis method that can capture formal aspects as well as content aspects by applying a systematic procedure. It includes four main steps: material collection, descriptive analysis, category selection, and material evaluation. To classify and evaluate the body of published literature, a taxonomy formed by three dimensions is defined: descriptive, modeling, and network structure dimensions. The review reveals that closed-loop logistics is new research area in supply chain field; there still remain opportunities for extending the literature base. It identifies some gaps in the literature and develops some propositions for future research directions such as integration of tactical and operational level decisions and fully development of product recovery network.

Keywords

Closed Loop Logistics, Literature Review, Content Analysis
Subscription Login to verify subscription
User
Notifications
Font Size


  • Beamon, B.M. & Fernandes, C. (2004), Supply chain network configuration for product recovery, Production Planning & Control, 15, 270-281.

  • Ben-Tal, A., Ghaoui, L.E. & Nemirovski, A. (2009), Robust Optimization, Princeton University Press, New Jersey.

  • Berglund, M., Laarhoven, P., Sharman, G. & Wandel, S. (1999), Third-party logistics: Is there a future?, International Journal of Logistics Management, 10, 59-70.

  • Carter, C.R. & Easton, P.L. (2011), Sustainable supply chain management: Evolution and future direction, International Journal of Physical Distribution and Logistics Management, 1 (4), 46-62.

  • Chanintrakul, P., Mondragon, A.E.C., Lalwani, C. & Chee, Y.W. (2009), Reverse logistics network design: A state-of-the-art literature review, Int. J. Business Performance and Supply Chain Modeling, 1, 61-81.

  • Deb, K. (2008), Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, New York.

  • Dekker, R., Fleischmann, M., Inderfirth, K. & Wassenhove, L.N.V. (2004), Reverse Logistics: Quantitative Models for Closed-Loop Supply Chain, Springer, New York.

  • Demirel, N.O. & Gokcen, H. (2008), A mixed integer programming model for remanufacturing in reverse logistics environment, International Journal of Advanced Manufacturing Technology, 39, 1197-1206.

  • Du, L.Z., Wu, J.J. & Hu, F. (2009), Logistics network design and optimization of closed-loop supply chain based on mixed integer nonlinear programming model, International Colloquium On Computing, Communication, Control, and Management, China, 2009, IEEE, 414-417.

  • Easwaran, G. & Uster, H. (2010), A closed-loop supply chain network design problem with integrated forward and reverse channel decisions, IIE Transactions, 42, 779-792.

  • Easwaran, G. & Uster, H. (2009), Tabu search and benders decomposition approaches for a capacitated closed-loop supply chain network design problem, Transportation Science, 43, 301-320.

  • El-Sayed, M., Afia, N. & El-Kharbotly, A. (2010), A stochastic model for forward-reverse logistics network design under risk, Computers & Industrial Engineering, 58, 423-431.

  • Fleischmanin, M., Beullens, P., Bloemhof-Ruwaard, J.M. & Wassenhove, L.N.V. (2001), The impact of product recovery on logistics network design, Production and Operations Management, 10, 156-173.

  • Fleischmann, M., Dekker, R., Ruwaard, J. & Laan, E.V.D. (1997), Quantitative models for reverse logistics: A review, European Journal of Operational Research, 103, 1-17.

  • Fleischmann, M., Krikke, H.R., Dekker, R. & Flapper, S.D.P. (2000), A characterisation of logistics networks for product recovery, Omega, 28, 653-666.

  • Gong, Y., Huang, D., Wang, E. & Peng, Y. (2009), A fuzzy chance constraint programming approach for locationallocation problem under uncertainty in a closedloop supply chain, International Joint Conference on Computational Sciences and Optimization, Wshington, IEEE, 836-840.

  • Guo, R.L. & Tang, Q. (2007), An improved ant colony optimization approach to designing reverse logistics network for product returns, International Conference On Management Science and Engineering - Management and Organization Studies Section, China, IEEE, 1322-1326.

  • Inuiguchi, M. & Ramik, J. (2000), Possibilistic linear programming: A brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem, Fuzzy Sets and Systems, 111, 3-28.

  • Jayaraman, V., Guide, V. & Srivastava, R. (1999), A closedloop logistics model for remanufacturing, Journal of the Operational Research Society, 50, 497-508.

  • Jiawang, X., Yunlong, Z. & Bo, J. (2010), A dynamic operation model for a class of closed-loop logistic system, International Conference on Intelligent Computation Technology and Automation, Wshington, IEEE, 80-83.

  • Ko, H.J. & Evans, G. W. (2007), A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3Pls, Computers & Operations Research, 34, 346-366.

  • Kolbe, R.H. & Burnett, M.S. (1991), Content-analysis research: An examination of applications with directives for improving research reliability and objectivity, The Journal of Consumer Research, 18, 243-250.

  • Seuring, S., Muller, M., Westhaus, M. & Morana, R. (2005), Conducting a literature review-The example of sustainability in supply chains, Kotzab, H., Seuring, S., Muller, M. & Reiner, G., Research Methodologies in Supply Chain Management, Physica-Verlag Heidelberg, Germany.

  • Krikke, H., Bloemhof-Ruwaard, J. & Wassenhove, L.N.V. (2003), Concurrent product and closed-loop supply chain design with an application to refrigerators, International Journal of Production Research, 41, 3689-3719.

  • Kusumastuti, R.D., Piplani, R. & Lim, G.H. (2008), Redesigning closed-loop service network at a computer manufacturer: A case study, International Journal of Production Economics, 111, 244-260.

  • Lee, D. H. & Dong, M. (2009), Dynamic network design for reverse logistics operations under uncertainty, Transportation Research Part E-Logistics and Transportation Review, 45, 61-71.

  • Lee, D.H. & Dong, M. (2008), A heuristic approach to logistics network design for end-of-lease computer products recovery, Transportation Research Part E-Logistics and Transportation Review, 44, 455-474.

  • Lee, D.H., Bian, W. & Dong, M. (2007a), Multi-objective model and solution method for integrated forward and reverse logistics network design for third-party logistics providers, Transportation Research Record, 2032(06), 43-52.

  • Lee, D.H., Bian, W. & Dong, M. (2007b), Multiproduct distribution network design of third-party logistics providers with reverse logistics operations, Transportation Research Record, 2008 (04), 26-33.

  • Lee, D.H., Dong, M., Bian, W. & Tseng, Y.J. (2007), Design of product recovery networks under uncertainty, Transportation Research Record, 2008(03), 19-25.

  • Lee, D., Dong, M. & Bian, W. (2010), The design of sustainable logistics network under uncertainty, International Journal of Production Economics, 128, 159-166.

  • Lee, K.Y. & EI-Sharkawi, M.A. (2008), Modern Heuristic Optimization Techniques, John Wiley & Sons, New Jersey.

  • Listes, O. (2007), A generic stochastic model for supply and-return network design, Computers & Operations Research, 34, 417-442.

  • Liu, J.L. & Ni, J. (2007), A hybrid immune genetic algorithm approach to optimize the integrated forward/ reverse logistics network for 3Pls, Third International Conference On Natural Computation, Haikou, IEEE, 609-613.

  • Lu, Z. & Bostel, N. (2007), A facility location model for logistics systems including reverse flows: The case of remanufacturing activities, Computers & Operations Research, 34, 299-323.

  • Mao, H.J., Ji, X.Z., Li, X.H., He, J., Rei, W.N. & Qiao, X.N. (2008), Research on remanufacturing reverse logistics network facility location projects simulation evaluation, International Conference On Management Science & Engineering, China, IEEE, 488-494.

  • Marasco, A. (2007), Third-party logistics: A literature review, International Journal of Production Economics, 113, 127-147.

  • Marin, A. & Pelegrin, B. (1998), The return plant location problem: Modeling and resolution, European Journal of Operational Research, 104, 375-392.

  • Melo, M.T., Nickel, S. & Saldanha-da-Gama, F. (2009), Facility location and supply chain management - A review, European Journal of Operational Research, 196 , 401-412.

  • Min, H. & Ko, H.J. (2008), The dynamic design of a reverse logistics network from the perspective of thirdparty logistics service providers, International Journal of Production Economics, 113, 176-192.

  • Mutha, A. & Pokharel, S. (2009), Strategic network design for reverse logistics and remanufacturing using new and old product modules, Computers & Industrial Engineering, 56, 334-346.

  • Owen, S.H. & Daskin, M.S. (1998), Strategic facility location: A review, European Journal of Operational Research, 111, 423-447.

  • Peidro, D., Mula, J. & Poler, R. (2009), Quantitative models for supply chain planning under uncertainty: A review, International Journal Advanced Manufacturing Technology, 43, 400-420.

  • Peng, Z.Y. & Zhong, D.Y. (2008), Optimization model for integrated logistics network design in green manufacturing system, International Conference on Information Management, Innovation Management and Industrial Engineering, Taipei, IEEE, 138-141.

  • Pishvaee, M.S. & Torabi, S.A. (2010), A possibilistic programming approach for closed-loop supply chain network design under uncertainty, Fuzzy Sets and Systems, 161, 2668-2683.

  • Pishvaee, M.S., Farahani, R.Z. & Dullaert, W. (2010), A memetic algorithm for bi-objective integrated forward/ reverse logistics network design, Computers & Operations Research, 37, 1100-1112.

  • Pishvaee, M.S., Jolai, F. & Razmi, J. (2009), A stochastic optimization model for integrated forward/reverse logistics network design, Journal of Manufacturing Systems, 28, 107-114.

  • Pishvaee, M.S., Rabbani, M. & Torabi, S.A. (2011), A robust optimization approach to closed-loop supply chain network design under uncertainty, Applied Mathematical Modelling, 35, 637-649.

  • Pokharel, S. & Akshay, M. (2009), Perspective in reverse logistics: A review, Resource, Conservation and Recycling, 53, 175-182.

  • Sachan, A. & Dattas, S. (2005), Review of supply chain management and logistics research, International Journal of Physical Distribution and Logistics Management, 9, 664-705.

  • Salema, M.I., Povoa, A. & Novais, A.Q. (2006), A warehouse- based design model for reverse logistics, Journal of the Operational Research Society, 57, 615-629.

  • Salema, M., Barbosa-Povoa, A.P. & Novais, A.Q. (2007), An optimization model for the design of a capacitated multi-Product reverse logistics network with uncertainty, European Journal of Operational Research, 179, 1063-1077.

  • Salema, M., Povoa, A. & Novais, A.Q. (2009), A strategic and tactical model for closed-loop supply chains, Or Spectrum, 31, 573-599.

  • Selviaridis, K. & Spring, M. (2007), Third party logistics: A literature review and research agenda, The International Journal of Logistics Management, 1(18), 125-150.

  • Sim, E., Jung, S., Kim, H. & Park, J. (2004), A generic network design for a closed-loop supply chain using genetic algorithm, The Genetic and Evolutionary Computation Conference, Springer-Verlag Berlin Heidelberg, 1214-1225.

  • Snyder, L.V. (2006), Facility location under uncertainty: A review, IIE Transactions, 43, 537-554.

  • Thierry, M., Salomon, M., Nunen, J.V. & Wassenhove, H.V. (1995), Strategic issues in product recovery management, California Management Review, 37, 114-135.

  • Uster, H., Easwaran, G., Akcali, E. & Cetinkaya, S. (2007), Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model, Naval Research Logistics, 54, 890-907.

  • Wang, H.F. & Hsu, H.W. (2010), Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis, Journal of Environmental Management, 91, 2148-2162.

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

  • Wang, X.Q. & Zhao, L.D. (2009), Network design of reverse logistics integrated with forward logistics, International Conference on Power and Energy Engineering Conference (Appeec), China, IEEE, 1152-1155.

  • Yang, G., Ning, S. & Li, Q. (2009), Genetic local search for facility location-allocation problem in closed-loop supply chains, International Conference on Information Science and Engineering, China, IEEE, 4316-4319.

  • Yong, Z., Jian L., Xuhong, L. & Haijun, M. (2006), Integrated logistics facilities network design for 3Pls under uncertainty (Integrated logistics facilities network design for 3PLS under uncertainty), Journal of Southeast University, 22, 570-576.

  • Zarei, M., Mansour, S., Kashan, A.H. & Karimi, B. (2010), Designing a reverse logistics network for endof- life vehicles recovery, Mathematical Problems in Engineering, 2010, 1-17.

  • Zhao, Y.P. (2009), Optimization design for multi-echelon logistics network in remanufacturing system, Second International Conference on Intelligent Computation Technology and Automation, China, IEEE, 221-224.

  • Zhou, G., Cao, Z., Cao, J. & Meng, Z. (2005), A genetic algorithm approach on reverse logistics optimization for product return distribution network, International Conference on Computational Intelligence and Security, Springer-Verlag Berlin Heidelberg, 267-272.

  • ZHOU, Y. & WANG, S. (2008), Generic model of reverse logistics network design, Journal of Transportation Systems Engineering and Information Technology, 8, 71-78.


Abstract Views: 464

PDF Views: 0




  • A Content Analysis of the Closed-Loop Logistics: A Review

Abstract Views: 464  |  PDF Views: 0

Authors

Mehrdad Mehrbod
Research Center of Modern Logistics, Tsinghua Campus, The University Town, Shenzhen 518055, China
Nan Tu
Research Center of Modern Logistics, Tsinghua Campus, The University Town, Shenzhen 518055, China
Lixing Miao
Research Center of Modern Logistics, Tsinghua Campus, The University Town, Shenzhen 518055, China

Abstract


Recently, closed-loop logistics (forward and reverse logistics) has received more attention due to the customer expectations, increasing environmental concern, and economic aspects. Despite the growing body of literature on this topic, little effort has been devoted to synthesize the research on closed-loop logistics. A literature review is a valid approach and necessary step towards structuring a research field, and forms an integral part of any research conducted. It also helps to identify the conceptual content of the field and can contribute to theory development. The paper presents a literature review on closed-loop logistics by adopting the content analysis method that can capture formal aspects as well as content aspects by applying a systematic procedure. It includes four main steps: material collection, descriptive analysis, category selection, and material evaluation. To classify and evaluate the body of published literature, a taxonomy formed by three dimensions is defined: descriptive, modeling, and network structure dimensions. The review reveals that closed-loop logistics is new research area in supply chain field; there still remain opportunities for extending the literature base. It identifies some gaps in the literature and develops some propositions for future research directions such as integration of tactical and operational level decisions and fully development of product recovery network.

Keywords


Closed Loop Logistics, Literature Review, Content Analysis

References