A Social Engineering Optimizer Algorithm for a Closed-Loop Supply Chain System with Uncertain Demand

Document Type : Research Paper

Authors

1 MSc. Student, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 Professor, School of Industrial Engineering, University f Tehran, Tehran, Iran

3 UnProfessor, School of Industrial Engineering, University f Tehran, Tehran, Iran

Abstract

This paper presents a new model for a closed-loop supply chain problem under uncertainty. This model considers production, distribution, collection, recycling and disposal of items simultaneously. Because of the increased importance of the environmental factors, this model focuses on the revers flow of the supply chain and considers different types of technology for recycling centers. The model aims to minimize the establishment cost of centers, shipment cost, holding cost, collection cost and recycling cost. To face with uncertain parameters, a credibility-based possibilistic programming method is applied. Then, a social engineering optimizer algorithm is proposed to solve the problem efficiency. To validate the model and proposed algorithm, the results are compared with the results of GAMS. In addition, they prove the superiority of the proposed algorithm over a genetic algorithm to deal with problems and find better results in less running time. Finally, the behavior of the model is assessed by changing the values of parameters and the results are reported.

Keywords

References

- Azaron, A., Brown, K. N., Tarim, S. A., Modarres, M. (2008) "A multi-objective stochastic programming approach for supply chain design considering risk ", International Journal of Production Economics, Vol.116, No. 1,  pp. 129-138.
 
-  Baghalian, A., Rezapour, S. and Farahani, R. Z. (2013) "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case " , European Journal of Operational Research, Vol. 227, No. 1, pp. 199-215.
 
- 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, Vol. 235, No. 3,  pp 594-615.
 
- Eckert, C., Gottlieb, J. (2002,). "Direct representation and variation operators for the fixed charge transportation problem." International Conference on Parallel Problem Solving from Nature (pp. 77-87). Springer, Berlin, Heidelberg.
 
- Fathollahi-Fard, A. M., Hajiaghaei-Keshteli, M., Tavakkoli-Moghaddam, R. (2018) "The Social Engineering Optimizer (SEO) " ,Engineering Applications of Artificial Intelligence, Vol. 72, pp 267-293.
 
- Ghatreh Samani, M., Hosseini-Motlagh, S. M. (2017). " A Hybrid algorithm for a two-echelon location-routing problem with simultaneous pickup and delivery under fuzzy demand", International Journal of Transportation Engineering, Vol. 5, No. 1, pp 59-85.
 
- Hatefi, S. M., Jolai, F. (2014). " Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions ", Applied Mathematical Modelling, Vol. 38, No. 9–10, pp 2630-2647.
 
- Hiassat, A., Diabat, A., Rahwan, I. (2017). " A genetic algorithm approach for location-inventory-routing problem with perishable products ", Journal of Manufacturing Systems, Vol. 42, pp 93-103.
 
- Hosseini-Motlagh, S. M., Ebrahimi, S., Nami, N., Ignatius, J. (2018). " Supply chain coordination through lead time crashing in a socially responsible supply chain considering transportation modes and carbon emissions tax ", International Journal of Transportation Engineering,  Vol. 6, No. 4, pp. 331-354.
- Huang, M., Yi, P., Guo, L., Shi, T. (2016). "A modal interval based genetic algorithm for closed-loop supply chain network design under uncertainty", IFAC-PapersOnLine, Vol. 49, No. 12, pp. 616-621.
 
- Iassinovskaia, G., Limbourg, S., Riane, F. (2017). " The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains ", International Journal of Production Economics, Vol 183, pp 570-582.
 
- 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, Vol 111, No 1,  pp 3-28.
 
- Jo, J. B., Li, Y., Gen, M. (2007).  "Nonlinear fixed charge transportation problem by spanning tree-based genetic algorithm ", Computers & Industrial Engineering, Vol 53, No 2, pp 290-298.
 
- Kim, J., Do Chung, B., Kang, Y., Jeong, B. (2018). " Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty ", Journal of Cleaner Production, Vol 196, pp 1314-1328.
 
- Leung, S. C., Tsang, S. O., Ng, W. L., Wu, Y. (2007). "A robust optimization model for multi-site production planning problem in an uncertain environment ", European Journal of Operational Research, Vol 181, No 1,  pp 224-238.
 
- Liu, B., Liu, Y. K. (2002). "Expected value of fuzzy variable and fuzzy expected value models ", IEEE Transactions on Fuzzy Systems, Vol. 10, No. 4, pp 445-450.
 
- Mulvey, J. M., Vanderbei, R. J., Zenios, S. A. (1995). " Robust optimization of large-scale systems ", Operations Research, Vol. 43, No. 2, pp 264-281.
- Nadizadeh, A., Hosseini Nasab, H. (2019). " Modelling and solving the capacitated location-routing problem with simultaneous pickup and delivery demands ", International Journal of Transportation Engineering, Vol.6, No. 3, pp217-235.
 
- Nikkhah Qamsari, A., Hosseini Motlagh, S. M., Jokar, A. (2017). " A two-phase hybrid heuristic method for a multi-depot inventory-routing problem " , International Journal of Transportation Engineering,  Vol. 4, No. 4, pp 287-304.
 
- Peidro, D., Mula, J., Poler, R., Verdegay, J. L. (2009). " Fuzzy optimization for supply chain planning under supply, demand and process uncertainties " , Fuzzy Sets and Systems, Vol. 160, No. 18, pp. 2640-2657.
 
- 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, Vol. 35, No. 2, pp. 637-649.
 
- Pishvaee, M. S., Razmi, J., Torabi, S. A. (2012). "Robust possibilistic programming for socially responsible supply chain network design: A new approach ", Fuzzy Sets and Systems, Vol 206, pp 1-20.
 
- Pishvaee, M. S., Torabi, S. A. (2010). " A possibilistic programming approach for closed-loop supply chain network design under uncertainty ", Fuzzy Sets and Systems, Vol. 161, No 20, pp. 2668-2683.
 
- Sim, E., Jung, S., Kim, H., Park, J. (2004, June). "A generic network design for a closed-loop supply chain using genetic algorithm " , Genetic and Evolutionary Computation Conference (Vol. 3103pp. 1214-1225). Springer, Berlin, Heidelberg.
 
- Soleimani, H., Govindan, K., Saghafi, H., Jafari, H. (2017). " Fuzzy multi-objective sustainable and green closed-loop supply chain network design " , Computers & Industrial Engineering, Vol 109, pp 191-203.
- Soleimani, H., Seyyed-Esfahani, M., Shirazi, M. A. (2013). " Designing and planning a multi-echelon multi-period multi-product closed-loop supply chain utilizing genetic algorithm ", The International Journal of Advanced Manufacturing Technology, Vol. 68, No. 1–4, pp 917–931.
 
- Tavakkoli-Moghaddam, R., Raziei, Z., Tabrizian, S. (2016). " Solving a bi-objective multi-product vehicle routing problem with heterogeneous fleets under an uncertainty condition", International Journal of Transportation Engineering,  Vol. 3, No. 3, pp 207-225.
 
- Torkaman, S., Ghomi, S. F., Karimi, B. (2017). "Multi-stage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain ", Computers & Industrial Engineering, Vol. 113, pp. 602-613.
 
- Wu, G. H., Chang, C. K., Hsu, L. M. (2018). " Comparisons of interactive fuzzy programming approaches for closed-loop supply chain network design under uncertainty", Computers & Industrial Engineering, Vol.125, pp. 500-513.
 
- Zeballos, L. J., Méndez, C. A., Barbosa-Povoa, A. P., Novais, A. Q. (2014). "Multi-period design and planning of closed-loop supply chains with uncertain supply and demand " ,Computers & Chemical Engineering, Vol. 66,  pp 151-164.
- Zhu, H., Zhang, J. (2009, November). " A credibility-based fuzzy programming model for APP problem ", International Conference on Artificial Intelligence and Computational Intelligence (AICI'09), (Vol. 1, pp. 455-459). IEEE.

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