Multi-period configuration of forward and reverse integrated supply chain networks through transport mode

Document Type : Article

Authors

1 Faculty of Engineering, University of Kurdistan, Sanandaj, Iran

2 Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran

Abstract

Today’s competitive business environment has resulted in increasing attention to social responsibilities and customer’s attitudes. Buying and returning have become a common practice for different reasons, including incompleteness or immature failure of the product or its failure to meet the customer’s satisfaction. Before the buying and returning cycle can be handled appropriately, companies need a proper logistics network designed following a proper design strategic. In the present research, a forward and reverse logistics network is proposed for product distribution and collection. The contribution of this paper to the literature is the proposal of a multi-period, multi-echelon, integrated forward and reverse supply chain network design problem with transportation mode selection considered. Different kinds of decisions including the determination of optimum number and locations of facilities, facilities opening time and transportation mode selection among different facilities have been considered in this paper. Due to multi-period nature of the problem, the problem is flexible for future periods. A new mixed integer nonlinear programming model was proposed for the introduced problem considering different levels of facility capacities with the maximum profit objective function. As another contribution, a genetic algorithm was developed to cope with problem’s complexity when the problem size goes large.

Keywords

Main Subjects


1. Amin, S.H. and Zhang, G. A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return", Appl. Math. Model., 37(6), pp. 4165{4176 (2013). 2. Lambert, S., Riopel, D., and Abdul-Kader, W. A reverse logistics decisions conceptual framework", Comput. Ind. Eng., 61(3), pp. 561{581 (2011). 3. Lee, D.H. and Dong, M. A heuristic approach to logistics network design for end-of-lease computer products recovery", Transp. Res. Part E Logist. Transp. Rev., 44(3), pp. 455{474 (2008). 4. Lin, J.R., Nozick, L.K., and Turnquist, M.A. Strategic design of distribution systems with economies of scale in transportation", Ann. Oper. Res., 144(1), pp. 161{180 (2006). 5. Du, F. and Evans, G.W. A bi-objective reverse logistics network analysis for post-sale service", Comput. Oper. Res., 35(8), pp. 2617{2634 (2008). 6. Mehdizadeh, E., Afrabandpei, F., and Mohaselafshar, S. Design of a multi-stage transportation network in a supply chain system: Formulation and e_cient solution procedure", Scientia Iranica., 20(6), pp. 2188{ 2200 (2013). 7. Mirmajlesi, S.R. and Shafaei, R. An integrated approach to solve a robust forward/reverse supply chain for short lifetime products", Computers & Industrial Engineering., 97, pp. 222{239 (2016). 8. Taleizadeh, A.A. and Sadeghi, R. Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach", International Journal of Production Economics, 215, pp. 48{60 (2019). 9. Fathollahi Fard, A.M. and Hajaghaei-Keshteli, M. A tri-level location-allocation model for forward/reverse supply chain", Applied Soft Computing., 62, pp. 328{ 346 (2018). 10. Badri, H., Bashiri, M., and Hejazi, T.H. Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method", Comput. Oper. Res., 40(4), pp. 1143{1154 (2013). 11. Nobari, A. and Kheirkhah, A. Integrated and dynamic design of sustainable closed-loop supply chain network considering pricing", Scientia Iranica, 25(1), pp. 410{430 (2018). 12. Cardoso, S.R., Barbosa-P_ovoa, A.P.F.D.D., and Relvas, S. Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty", Eur. J. Oper. Res., 226(3), pp. 436{451 (2013). 954 A. Eydi et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 935{955 13. Pedram, A., Yuso_, N.B., and Udoncy, O.E. Integrated forward and reverse supply chain: A tire case study", Waste Management., 60, pp. 460{470 (2017). 14. Lieckens, K. and Vandaele, N. Reverse logistics network design with stochastic lead times", Comput. Oper. Res., 34(2), pp. 395{416 (2007). 15. Aghezzaf, E. Capacity planning and warehouse location in supply chains with uncertain demands", J. Oper. Res. Soc., 56(4), pp. 453{462 (2005). 16. Shaharudin, M.R., Govindan, K., and Zailani, S. Product return management: Linking product returns, closed-loop supply chain activities and the e_ectiveness of the reverse supply chains", Journal of Cleaner Production., 149(15), pp. 1144{1156 (2017). 17. Lowe, T.J., Wendell, R.E., and Hu, G. Screening location strategies to reduce exchange rate risk", Eur. J. Oper. Res., 136(3), pp. 573{590 (2002). 18. Martel, A., Beauregard, R., and Vila, D. Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry", Int. J. Prod. Econ., 102(2), pp. 358{378 (2006). 19. Karabakal, N., Gunal, A., and Ritchie, W. Supplychain analysis at Volkswagen of America", Interfaces., 30(4), pp. 46{55 (2000). 20. Ambrosino, D. and Scutell_a, M.G. Distribution network design: new problems and related models", Eur. J. Oper. Res., 165(3), pp. 610{624 (2005). 21. Avittathur, B., Shah, J., and Gupta, O.K. Distribution centre location modelling for di_erential sales tax structure", Eur. J. Oper. Res., 162(1), pp. 191{205 (2005). 22. Daskin, M.S., Coullard, C.R., and Shen, Z.J.M. An inventory-location model: Formulation, solution algorithm and computational results", Ann. Oper. Res., 110(1{4), pp. 83{106 (2002). 23. Jang, Y.J., Jang, S.Y., and Chang, B.M. A combined model of network design and production/distribution planning for a supply network", Comput. Ind. Eng., 43(1), pp. 263{281 (2002). 24. Melo, M.T., Nickel, S., and Saldanha da Gama, F. Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning", Comput. Oper. Res., 33(1), pp. 181{208 (2006). 25. Syam, S.S. A model and methodologies for the location problem with logistical components", Comput. Oper. Res., 29(9), pp. 1173{1193 (2002). 26. Van Weele, A.J. Purchasing & supply chain management: analysis, strategy, planning and practice", Cengage Learning EMEA (2009). 27. Cordeau, J.F., Pasin, F., and Solomon, M.M. An integrated model for logistics network design", Ann. Oper. Res., 144(1), pp. 59{82 (2006). 28. Yan, H., Yu, Z., and Cheng, T.C.E. A strategic model for supply chain design with logical constraints: formulation and solution", Comput. Oper. Res., 30(14), pp. 2135{2155 (2003). 29. Zhou, W.Q. and Chen, L. Research on the inventory control of the remanufacturing reverse logistics based on the quantitative examination", Scientia Iranica, 24(2), pp. 741{750 (2017). 30. Wilhelm, W., Liang, D., and Rao, B. Design of international assembly systems and their supply chains under NAFTA", Transp. Res. Part E Logist., 41(6), pp. 467{493 (2005). 31. Olivares-Benitez, E., R__os-Mercado, R.Z., and Gonz_alez-Velarde, J.L. A supply chain design problem with facility location and bi-objective transportation choices", Artic. Metrics, 20(3), pp. 729{753 (2010). 32. Heydari, J., Govindan, K., and Jafari, A. Design of a multi-stage transportation network in a supply chain system: Formulation and e_cient solution procedure", Reverse and closed loop supply chain coordination by considering government role., 52, pp. 379{398 (2017). 33. Giri, B.C., Chakraborty, A., and Maiti, T. Pricing and return product collection decisions in a closed-loop supply chain with dual-channel in both forward and reverse logistics", Journal of Manufacturing Systems., 42, pp. 104{123 (2017). 34. Khakim Habibi, M.K., Olga, B., and Van-Dat, C. Collection-disassembly problem in reverse supply chain", International Journal of Production Economics., 183, pp. 334{344 (2017). 35. Butzer, S., Schotz, S., and Petroschke, M. Development of a performance measurement system for international reverse supply chains", procedia CIRP., 61, pp. 251{256 (2017). 36. Goh, M., Lim, J.Y.S., and Meng, F. A stochastic model for risk management in global supply chain networks", Eur. J. Oper. Res., 182(1), pp. 164{173 (2007). 37. Lu, Z. and Bostel, N. A facility location model for logistics systems including reverse ows: The case of remanufacturing activities", Comput. Oper. Res., 34(2), pp. 299{323 (2007). 38. Uster, H., Easwaran, G., and Ak_cali, E. Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model", Navel Res. Logistic., 54(6), pp. 890{907 (2007). 39. Min, H. and Ko, H.J. The dynamic design of a reverse logistics network from the perspective of thirdparty logistics service providers", Int. J. Prod. Econ., 113(1), pp. 176{192 (2008). 40. Lee, C.K.M. and Chan, T.M. Development of RFIDbased reverse logistics system", Expert Syst. Appl., 36(5), pp. 9299{9307 (2009). 41. Trappey, A.J.C., Trappey, C.V., and Wu, C.R. Genetic algorithm dynamic performance evaluation for RFID reverse logistic management", Expert Syst. Appl., 37(11), pp. 7329{7335 (2010). 42. Fakhrzad, M.B. and Moobed, M. A GA model development for decision making under reverse logistics", Int. J. Ind. Eng., 21(4), pp. 211{220 (2010). A. Eydi et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 935{955 955 43. Zegordi, S.H., Abadi, I.N.K., and Nia, M.A.B. A novel genetic algorithm for solving production and transportation scheduling in a two-stage supply chain", Comput. Ind. Eng., 58(3), pp. 373{381 (2010). 44. Modiri-Delshad, M., Kaboli, S.H.A., and Taslimi- Renani, E. Backtracking search algorithm for solving economic dispatch problems with valve-point e_ects and multiple fuel options", Energy., 116, pp. 637{649 (2016). 45. Kaboli, S.H.A., Selvaraj, J., and Rahim, N.A. Longterm electric energy consumption forecasting via arti- _cial cooperative search algorithm", Energy., 115, pp. 857{871 (2016). 46. Ra_eerad, A.R., Bushroa, A.R., and Nasiri-Tabrizi, B. Toward improved mechanical, tribological, corrosion and in-vitro bioactivity properties of mixed oxide nanotubes on Ti-6Al-7Nb implant using multiobjective PSO", Journal of the Mechanical Behavior of Biomedical Materials, 69, pp. 1{18 (2017). 47. Kaboli, S.H.A., Fallahpour, A., and Selvaraj, J. Longterm electrical energy consumption formulating and forecasting via optimized gene expression programming", Energy., 126, pp. 144{164 (2017). 48. Kaboli, S.H.A., Selvaraj, J., and Rahim, N.A. Rainfall optimization algorithm: a population based algorithm for solving constrained optimization problems", Journal of Computational Science., 19, pp. 31{42 (2017). 49. Sebtahmadi, S.S., Borhan Azad, H., and Kaboli, S.H.A. A PSO-DQ current control scheme for performance enhancement of Z-source matrix converter to drive IM fed by abnormal voltage", in IEEE Transactions on Power Electronics, 99, pp. 1666{1681 (2018). 50. Mansouri, M., Kaboli, S.H.A., and Ahmadian, J. A hybrid Neuro-Fuzzy-PI speed controller for BLDC enriched with an integral steady state error eliminator", Control System, Computing and Engineering (ICCSCE), IEEE International Conference on, IEEE (2012). 51. Modiri-Delshad, M., Koohi-Kamali, S., and Taslimi, E. Economic dispatch in a microgrid through an iterated-based algorithm", Clean Energy and Technology (CEAT), IEEE Conference on, IEEE (2013). 52. Krarup, J. and Pruzan, P.M. The simple plant location problem: survey and synthesis", Eur. J. Oper. Res., 12(1), pp. 36{81 (1983).