References
- Chofreh AG, Goni FA, Shaharoun AM, et al. Sustainable enterprise resource planning: imperatives and research directions. J Cleaner Prod. 2014;71:139–147.10.1016/j.jclepro.2014.01.010
- Nourmohamadi Shalke P, Paydar MM, Hajiaghaei-Keshteli M. Sustainable supplier selection and order allocation through quantity discounts. Int J Manage Sci Eng Manage. 2017:1–13.
- Hajiaghaei-Keshteli M, Aminnayeri M. Solving the integrated scheduling of production rail transportation problem by Keshtel algorithm. Appl Soft Comput. 2014;25:184–203.10.1016/j.asoc.2014.09.034
- Farahani RZ, Rezapour S, Drezner T, et al. Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega. 2014;45:92–118.10.1016/j.omega.2013.08.006
- Fathollahi Fard AM, Gholian-Jouybari F, Paydar MM, et al. A Bi-objective stochastic closed-loop supply chain network design problem considering downside risk. Ind Eng Manage Syst. 2017;16(3):342–362.
- Hajiaghaei-keshteli M, Sajadifar SM. Deriving the cost function for a class of three-echelon inventory system with N-retailers and one-for-one ordering policy. Int J Adv Manuf Technol. 2010;50(1–4):343–351.10.1007/s00170-009-2486-9
- Hajiaghaei-Keshteli M, Sajadifar SM, Haji R. Determination of the economical policy of a three-echelon inventory system with (R, Q) ordering policy and information sharing. Int J Adv Manufact Technol. 2011;55(5–8):831–841.10.1007/s00170-010-3112-6
- Fathollahi Fard AM, Hajaghaei-Keshteli M. A tri-level location-allocation model for forward/reverse supply chain. Appl Soft Comput. 2018;62:328–346.10.1016/j.asoc.2017.11.004
- Spar DL, La Mure LT. The power of activism: assessing the impact of NGOs on global business. California Manage Rev. 2003;45(3):78–101.10.2307/41166177
- Devika K, Jafarian A, Nourbakhsh V. Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of meta heuristics hybridization techniques. Eur J Oper Res. 2014;235(3):594–615.10.1016/j.ejor.2013.12.032
- Govindan K, Jafarian A, Khodaverdi R, et al. Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. Int J Prod Econ. 2014;152:9–28.10.1016/j.ijpe.2013.12.028
- Govindan K, Jafarian A, Nourbakhsh V. Biobjective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic. Comput Oper Res. 2015;62:112–130.10.1016/j.cor.2014.12.014
- Govindan K, Garg K, Gupta S. Effect of product recovery and sustainability enhancing indicators on the location selection of manufacturing facility. Ecol Ind. 2016;67:517–532.10.1016/j.ecolind.2016.01.035
- Bhattacharya CB, Sen S. When, why, and how consumers respond to social initiatives. California Manage Rev. 2004;47(1):9–24.10.2307/41166284
- Fombrun CJ. The leadership challenge: building resilient corporate reputations. Handb Respons Leadership Gov Global Bus. 2005;54:68.
- Seuring S, Müller M. From a literature review to a conceptual framework for sustainable supply chain management. J Cleaner Prod. 2008;16(15):1699–1710.10.1016/j.jclepro.2008.04.020
- Brandenburg M, Govindan K, Sarkis J, et al. Quantitative models for sustainable supply chain management: developments and directions. Eur J Oper Res. 2014;233(1):299–312.10.1016/j.ejor.2013.09.032
- Chaabane A, Ramudhin A, Paquet M. Design of sustainable supply chains under the emission trading scheme. Int J Prod Econ. 2012;135(1):37–49.10.1016/j.ijpe.2010.10.025
- Chen G, Govindan K, Golias MM. A queueing network based multi-objective model to reduce truck emissions at container terminals. Trans Part E. 2013;55:3–22.10.1016/j.tre.2013.03.008
- Dehghanian F, Mansour S. Designing sustainable recovery network of end-of-life products using genetic algorithm. Resources Conserv Recycl. 2009;53(10):559–570.10.1016/j.resconrec.2009.04.007
- Elhedhli S, Merrick R. Green supply chain network design to reduce carbon emissions. Trans Res Part D Trans Environ. 2012;17(5):370–379.10.1016/j.trd.2012.02.002
- Kannan D, Diabat A, Alrefaei M, et al. A carbon footprint based reverse logistics network design model. Resources Conserv Recycl. 2012;67:75–79.10.1016/j.resconrec.2012.03.005
- Pishvaee MS, Torabi SA, Razmi J. Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Comput Ind Eng. 2012b;62(2):624–632.10.1016/j.cie.2011.11.028
- Wang F, Lai X, Shi N. A multi-objective optimization for green supply chain network design. Decis Support Syst. 2011a;51(2):262–269.10.1016/j.dss.2010.11.020
- Jayaraman V, Pirkul H. Planning and coordination of production and distribution facilities for multiple commodities. Eur J Oper Res. 2001;133(2):394–408.10.1016/S0377-2217(00)00033-3
- Pintea C-M, Pop PC, Hajdu-Macelaru M. Classical hybrid approaches on a transportation problem with gas emissions constraints. Proc SOCO 2012 Adv Intel Syst Comput Springer. 2013;188:449–458.
- Sasikumar P, Kannan G. Issues in reverse supply chains, part I: end‐of‐life product recovery and inventory management – an overview. Int J Sustainable Eng. 2008a;1(3):154–172.10.1080/19397030802433860
- Sasikumar P, Kannan G. Issues in reverse supply chain, part II: reverse distribution issues – an overview. Int J Sustainable Eng. 2008b;1(4):234–249.10.1080/19397030802509974
- Sasikumar P, Kannan G. Issues in reverse supply chain, part III: classification and simple analysis. Int J Sustainable Eng. 2009;2(1):2–27.10.1080/19397030802673374
- Pokharel S, Mutha A. Perspectives in reverse logistics: A review. Resour Conserv Recycl. 2009;53(4):175–182.10.1016/j.resconrec.2008.11.006
- Srivastava SK. Network design for reverse logistics. Omega. 2008;36(4):535–548.10.1016/j.omega.2006.11.012
- Pishvaee MS, Kianfar K, Karimi B. Reverse logistics network design using simulated annealing. Int J Adv Manuf Technol. 2010;47(1):269–281.10.1007/s00170-009-2194-5
- Fleischmann M, Beullens P, Bloemhof-Ruwaard JM, et al. The impact of product recovery on logistics network design. Prod Oper Manage. 2001;10(2):156–173.
- Schultmann F, Zumkeller M, Rentz O. Modeling reverse logistic tasks within closed-loop supply chains: an example from the automotive industry. Eur J Oper Res. 2006;171(3):1033–1050.10.1016/j.ejor.2005.01.016
- Pop PC, Pintea CM, Pop Sitar C, et al. An efficient reverse distribution system for solving a supply chain network design problem. J Appl Logic. 2015;13(2), Part A:105–113.
- Zohal M, Soleimani H. Developing an ant colony approach for green closed-loop supply chain network design: a case study in gold industry. J Cleaner Prod. 2016;133:314–337.10.1016/j.jclepro.2016.05.091
- Wang HF, Hsu HW. A closed-loop logistic model with a spanning-tree based genetic algorithm. Comput Oper Res. 2010;37(2):376–389.10.1016/j.cor.2009.06.001
- Pop PC, Matei O, Pop Sitar C, et al. A hybrid based genetic algorithm for solving a capacitated fixed-charge transportation problem. Carpathian J Math. 2016;32(2):225–232.
- Pishvaee MS, Razmi J, Torabi SA. Robust possibilistic programming for socially responsible supply chain network design: a new approach. Fuzzy Sets Syst. 2012a;206:1–20.10.1016/j.fss.2012.04.010
- Fahimnia B, Sarkis J, Eshragh A. A tradeoff model for green supply chain planning: a leanness-versus-greenness analysis. Omega. 2015;54:173–190.10.1016/j.omega.2015.01.014
- Rezaee A, Dehghanian F, Fahimnia B, et al. Green supply chain network design with stochastic demand and carbon price. Ann Oper Res. 2015;1–23.
- Diabat A, Al-Salem M. An integrated supply chain problem with environmental considerations. Int J Prod Econ. 2015;164:330–338.10.1016/j.ijpe.2014.12.004
- Hsu H-W, Wang H-F. “Modeling of green supply logistics. In: Wang H-F, editor. Web-based green products life cycle management systems: Reverse supply chain utilization. Hershey (PA): IGI Global Publication; 2009. p. 268–282.10.4018/978-1-60566-114-8
- Syarif A, Yun Y, Gen M. Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach. Comput Ind Eng. 2002;43(1–2):299–314.10.1016/S0360-8352(02)00076-1
- Yao MJ, Hsu HW. A new spanning tree-based genetic algorithm for the design of multi-stage supply chain networks with nonlinear transportation costs. Opt Eng. 2009;10(2):219–237.10.1007/s11081-008-9059-x
- van der Laan E, Salomon M, Dekker R, et al. Inventory control in hybrid systems with remanufacturing. Manage Sci. 1999;45(5):733–747.10.1287/mnsc.45.5.733
- Hajiaghaei-Keshteli M, Aminnayeri M, Fatemi Ghomi SMT. Integrated scheduling of production and rail transportation. Comput Ind Eng. 2014;74:240–256.10.1016/j.cie.2014.05.026
- Hajiaghaei-Keshteli M, Aminnayeri M. Keshtel Algorithm (KA); a new optimization algorithm inspired by Keshtels’ feeding. In Proceeding in IEEE Conference on Industrial Engineering and Management Systems; 2013. p. 2249–2253.
- Sadeghi-Moghaddam S, Hajiaghaei-Keshteli M, Mahmoodjanloo M. New approaches in metaheuristics to solve the fixed charge transportation problem in a fuzzy environment. Neural Comput Appl. 2017;1–21.
- Golmohamadi S, Tavakkoli-Moghaddam R, Hajiaghaei-Keshteli M. Solving a fuzzy fixed charge solid transportation problem using batch transferring by new approaches in meta-heuristic. Electr Notes Discrete Math. 2017;58:143–150.10.1016/j.endm.2017.03.019
- Golshahi-Roudbaneh A, Hajiaghaei-Keshteli M, Paydar MM. Developing a lower bound and strong heuristics for a truck scheduling problem in a cross-docking center. Knowl-Based Syst. 2017;129:17–38.10.1016/j.knosys.2017.05.006
- Holland JH. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. Ann Arbor: University of Michigan Press; 1975.
- Rajabi F, Najafi SE, Hajiaghaei-Keshteli M, et al. Solving fuzzy step fixed charge transportation problems via metaheuristics. Int J Res Ind Eng. 2013;2(3):24–34.
- Tavakkoli-Moghaddam R, Hajiaghaei-Keshteli M, Mousavi M, et al. Two meta-heuristics to solve a coordinated air transportation and production scheduling problem with time windows for the due date. In Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on, IEEE; 2016 October. p. 004663–004668.10.1109/SMC.2016.7844967
- Hajiaghaei-Keshteli M. The allocation of customers to potential distribution centers in supply chain network; GA and AIA approaches. Appl Soft Comput. 2011;11:2069–2078.10.1016/j.asoc.2010.07.004
- Deb K, Agrawal S, Pratap A, et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In International Conference on Parallel Problem Solving From Nature; Springer Berlin Heidelberg; 2000 September. p. 849–858.
- Fathollahi Fard AM, Hajiaghaei-Keshteli M. Red deer algorithm (RDA); a new optimization algorithm inspired by red deer’s mating. In Proceedings of International Conference on Industrial Engineering, IEEE; 2016. p. 33–34.
- Nasiri E, Afshari AJ, Hajiaghaei-Keshteli M. Addressing the freight consolidation and containerization problem by recent and hybridized metaheuristic algorithms. IJE TRANS C Aspects. 2017 Mar;30(3):403–410.
- Mahmoodjanloo M, Parvasi SP, Ramezanian R. A tri-level covering fortification model for facility protection against disturbance in r-interdiction median problem. Comput Ind Eng. 2016;102:219–232.10.1016/j.cie.2016.11.004
- Vahdani B, Zandieh M. Scheduling trucks in cross-docking systems: Robust meta-heuristics. Comput Ind Eng. 2010;58(1):12–24.10.1016/j.cie.2009.06.006
- Behnamian J, Fatemi Ghomi S. Hybrid flowshop scheduling with machine and resource-dependent processing times. Appl Math Model. 2011;35(3):1107–1123.10.1016/j.apm.2010.07.057