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Growing Science » International Journal of Industrial Engineering Computations » A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 7 Issue 4 pp. 615-634 , 2016

A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty Pages 615-634 Right click to download the paper Download PDF

Authors: R. Daghigh, M.S. Jabalameli, A. Bozorgi Amiri, M.S. Pishvaee

DOI: 10.5267/j.ijiec.2016.3.003

Keywords: Sustainable Development, Supply chain network design, Multi-objective optimization Possibilistic programming

Abstract: In recent years, logistics development is considered as an important aspect of any country’s development. Outsourcing logistics activities to third party logistics (3PL) providers is a common way to achieve logistics development. On the other hand, globalization and increasing customers’ concern about the environmental impact of activities as well as the appearance of the issue of social responsibility have led companies employ sustainable supply chain management, which considers economic, environmental and social benefits, simultaneously. This paper proposes a multi-objective model to design logistics network for 3PL providers by considering sustainable objectives under uncertainty. Objective functions include minimizing the total cost, minimizing greenhouse gas emission and maximizing social responsibility subject to fair access to products, number of created job opportunities and local community development. It is worth mentioning that in the present paper the perishability of products is also considered. A numerical example is provided to solve and validate model using augmented Epsilon-Constraint method. The results show that three sustainable objectives were in conflict and as the one receives more desirable values, the others fall into more undesirable values. In addition, by increasing maximum perishable time periods and by considering lateral transshipment among facilities of a level one can improve sustainability indices of the problem, which indicates the necessity of such policy in improving network sustainability.


How to cite this paper
Daghigh, R., Jabalameli, M., Amiri, A & Pishvaee, M. (2016). A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty.International Journal of Industrial Engineering Computations , 7(4), 615-634.

Refrences
Boyson, S., Corsi, T., Dresner, M., & Rabinovich, E. (1999). Managing effective third party logistics relationships: what does it take?. Journal of Business Logistics, 20(1), 73-100
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 14-38.
Mula, J., Poler, R., & Garcia, J. P. (2006). MRP with flexible constraints: A fuzzy mathematical programming approach. Fuzzy Sets and Systems, 157(1), 74-97.
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(2), 346-366.
Zhang, Y., Xie, L., Hang, W., & Cui, X. (2007, August). A robust model for 3PLS to design a remanufacturing logistics network under the uncertain environment. In Automation and Logistics, 2007 IEEE International Conference on (pp. 367-372). IEEE.
Mallidis, I., Dekker, R., & Vlachos, D. (2012). The impact of greening on supply chain design and cost: a case for a developing region. Journal of Transport Geography, 22, 118-128.
Ghaffari-Nasab, N., Ghazanfari, M., & Teimoury, E. (2015). Hub-and-spoke logistics network design for third party logistics service providers. International Journal of Management Science and Engineering Management, (ahead-of-print), 1-13.
Dehghanian, F., & Mansour, S. (2009). Designing sustainable recovery network of end-of-life products using genetic algorithm. Resources, Conservation and Recycling, 53(10), 559-570.
Devika, K., Jafarian, A., & Nourbakhsh, V. (2014). Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques. European Journal of Operational Research, 235(3), 594-615.
Ramezani, M., Kimiagari, A. M., Karimi, B., & Hejazi, T. H. (2014). Closed-loop supply chain network design under a fuzzy environment. Knowledge-Based Systems, 59, 108-120.
Torabi, S. A., & Moghaddam, M. (2012). Multi-site integrated production-distribution planning with trans-shipment: a fuzzy goal programming approach. International Journal of Production Research, 50(6), 1726-1748.
Bektaş, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45(8), 1232-1250.
Inuiguchi, M., & Ramık, 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(1), 3-28.
Iwamura, K., & Liu, B. (1998). Chance constrained integer programming models for capital budgeting in fuzzy environments. Journal of the Operational Research Society,49(8), 854-860.
Heilpern, S. (1992). The expected value of a fuzzy number. Fuzzy sets and Systems, 47(1), 81-86.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159(2), 193-214.

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Journal: International Journal of Industrial Engineering Computations | Year: 2016 | Volume: 7 | Issue: 4 | Views: 2836 | Reviews: 0

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