[1] Daskin, M.S., Coullard, C.R. and Shen, Z.J.M., (2002). An inventory-location model: Formulation, solution algorithm and computational results, Annals of operations research, 110(1-4), pp.83-106.
[2] Shen, Z.J.M., Coullard, C. and Daskin, M.S., (2003). A joint location-inventory model, Transportation science, 37(1), pp.40-55.
[3] Miranda, P.A. and Garrido, R.A., (2004). Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand, Transportation Research Part E: Logistics and Transportation Review, 40(3), pp.183-207.
[4] Miranda, P.A. and Garrido, R.A., (2006). A simultaneous inventory control and facility location model with stochastic capacity constraints, Networks and Spatial Economics, 6(1), pp.39-53.
[5] Shu, J. and Sun, J., (2006). Designing the distribution network for an integrated supply chain, Journal of Industrial and Management Optimization, 2(3), p.339.
[6] Tancrez, J.S., Lange, J.C. and Semal, P., (2012). A location-inventory model for large three-level supply chains, Transportation Research Part E: Logistics and Transportation Review, 48(2), pp.485-502.
[7] Park, S., Lee, T.E. and Sung, C.S., (2010). A three-level supply chain network design model with risk-pooling and lead times, Transportation Research Part E: Logistics and Transportation Review, 46(5), pp.563-581.
[8] Shahabi, M., Akbarinasaji, S., Unnikrishnan, A. and James, R., (2013). Integrated inventory control and facility location decisions in a multi-echelon supply chain network with hubs, Networks and Spatial Economics, 13(4), pp.497-514.
[9] Mousavi, S.M., Alikar, N., Niaki, S.T.A. and Bahreininejad, A., (2015). Optimizing a location allocation-inventory problem in a two-echelon supply chain network: A modified fruit fly optimization algorithm, Computers & Industrial Engineering, 87, pp.543-560.
[10] Ahmadi-Javid, A. and Hoseinpour, P., (2015). Incorporating location, inventory and price decisions into a supply chain distribution network design problem, Computers & Operations Research, 56, pp.110-119.
[11] Berman, O., Krass, D. and Menezes, M.B., (2016). Directed assignment vs. customer choice in location inventory models, International Journal of Production Economics, 179, pp.179-191.
[12] Ahmadi, G., Torabi, S.A. and Tavakkoli-Moghaddam, R., (2016). A bi-objective location-inventory model with capacitated transportation and lateral transshipments, International Journal of Production Research, 54(7), pp.2035-2056.
[13] Diabat, A., Dehghani, E., Jabbarzadeh, A., (2017). Incorporating location and inventory decisions into a supply chain design problem with uncertain demands and lead times, Journal of Manufacturing Systems, 43, pp.139-149.
[14] Dai, Z., Aqlan, F., Zheng, X., Gaoc, K., (2018). A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints, Computers & Industrial Engineering, 119, pp.338-352.
[15] Rezaeenour, J., Hashempoor, M., Akbari, A.M., (2020). A four-echelon supply chain considering economic, social and regions satisfaction goals, Journal of Industrial Engineering Research in Production Systems, 7(15), pp. 199-217.
[16] Sadri Esfahani, A., Nakhaeinejad, M., Nabizadeh marziani, S., (2020). Inventory Model and Pricing With Linear Functions Price-Dependent Demand, Time-Dependent Holding Cost and Discount Amount (Purchase Cost), Journal of Industrial Engineering Research in Production Systems, 7(15), pp. 305-321
[17] Snyder, L. V., (2003). Supply chain robustness and reliability: Models and algorithms (PHD Thesis), Dept. of Industrial Engineering and Management Sciences. Evanston, IL, Northwestern University. PhD thesis.
[18] Snyder, L. V. and M. S. Daskin, (2005). Reliability models for facility location: The expected failure cost case, Transportation Science, 39(3), pp.400-416.
[19] Snyder, L. V. and M. S. Daskin, (2007). Models for reliable supply chain network design, Critical Infrastructure: Reliability and Vulnerability, A.T. Murray and T.H. Grubesic (eds.), Chapter 13: pp.257-289.
[20] Snyder, L. V., Scaparra, M.P., M. S. Daskin, Church, R.L., (2006). Planning for disruptions in supply chain networks, Tutorials in Operations Research: Models, Methods, and Applications for Innovative Decision Making ISBN, 13, pp.234–257.
[21] Zhan, R. L., (2007). Models and algorithms for reliable facility location problems and system reliability optimization. Ph.D. dissertation, UNIVERSITY OF FLORIDA.
[22] Zhan, R. L., Z. J. M. Shen, et al. (2007). System reliability with location-specific failure probabilities, Working paper Department of Industrial Engineering and Operations Research, University of California at Berkeley.
[23] Lim, M., Daskin, M.S., A. Bassamboo, (2009), Facility location decisions in supply chain networks with random disruption and imperfect information, working paper, Department of Business Administration, University of Illinois.
[24] Cui, T., Y. Ouyang, et al., (2010). Reliable facility location design under the risk of disruptions, Operations Research, 58 (4-Part-1), PP. 998-1011.
[25] Seifbarghy, M., Jalali, S., Rahmati, S. H., (2012). Reliable Capacitated Facility Location Problem Considering Maximal covering, World Academy of science, Engineering & Technology, 6(1), pp.290-293.
[26] Shishebori, D., Snyder, L. V., Jabalameli, M. J., (2014). A reliable budget-constrained facility location/network design problem with unreliable facilities, Networks and Spatial Economics, 14(3-4), pp.549-580.
[27] Qingwei Li and Savachkin, A., (2015). A Fast Tabu Search Algorithm for the Reliable a P-Median Problem, Advances in Global Optimization, pp.417-424.
[28] Jalali, J., Seifbarghy, M., Sadeghi, J., Ahmadi, S., (2016). Optimizing a bi-objective reliable facility location problem with adapted stochastic measures using tuned-parameter multi-objective algorithms, Knowledge-Based Systems, 95, pp.45-57.
[29] [29] Farahani, M., Shavandi, H., Rahmani, D., (2017). A Location-Inventory Model Considering a Strategy to Reduce Disruption Risk in Supply Chain by substitutable products, Computers & Industrial Engineering, 108 (C), pp.213-224.
[30] Fakhrzad, M.B., Talebzadeh, P., Goodarzian, F., (2019). The green Closed-Loop Supply Chain Network Design Considering Supply Centers Reliability Under Uncertainty, Journal of Industrial Engineering Research in Production Systems, 7(14), pp.179-197.
[31] Chern MS., (1992). On the computational complexity of reliability redundancy allocation in a series system, Operation Research Letters, 11, pp.309–315.
[32] Fyffe, D. E., Hines, W. W., and Lee, N. K., (1968). System reliability allocation and a computational algorithm, IEEE Transactions on Reliability, 17, pp.64–69.
[33] Hikita M, Nakagawa Y, Nakashima N, Narihisa H., (1992). Reliability Optimization of Systems by a Surrogate-Constraints Algorithm, IEEE Transactions on Reliability, 41(3), pp.127–39.
[34] Coit DW, Smith A. E., (1996). Reliability optimization of series-parallel systems using a genetic algorithm, IEEE Transactions on Reliability, 45(2), pp.254–60.
[35] Coit, D. W., (2003). Maximization of system reliability with a choice of redundancy strategies, IIE Transactions, 35(6), pp.535–544.
[36] Ramirez-Marquez, J. E., & Coit, D. W., (2004). A heuristic for solving the redundancy allocation problem for multi-state series-parallel systems, Reliability Engineering and System Safety, 83, pp.341–349.
[37] Kulturel-Konak S, Smith A, Coit D. W., (2003). Efficiently solving the redundancy allocation problem using tabu search, IIE Transactions, 35(6), pp.515–526.
[38] Zhao J.H., Liuv Z., Dao MT., (2007). Reliability optimization using multi-objective ant colony system approaches, Reliability Engineering System Safety, 92, pp.109–120.
[39] Taboada HA., Baheranwala F., Coit D.W., Wattanapongsakorn N., (2007). Practical solutions for multi-objective optimization: an application to system reliability design problems, Reliability Engineering System Safety, 92, pp.314–322.
[40] Tavakkoli-Moghaddam R., Safari J., Sassani F., (2008). Reliability optimization of series– parallel systems with a choice of redundancy strategies using a genetic algorithm, Reliability Engineering & System Safety, 93, pp.550–560.
[41] Liang YC., Lo M.H., (2010). Multi-objective redundancy allocation optimization using a variable neighborhood search algorithm, Journal of Heuristics, 16, pp.511–535.
[42] Khalili-Damghani K., Amiri M., (2012). Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA, Reliability Engineering and System Safety, 103, pp.35–44.
[43] Safari, J., (2012). Multi-objective reliability optimization of series-parallel systems with a choice of redundancy strategies, Reliability Engineering and System Safety, 108, pp.10–20.
[44] Chambari, A., Rahmati, S. H. A., Najafi, A. A., Karimi, A., (2012). A bi-objective model to optimize reliability and cost of system with a choice of redundancy strategies, Computers and Industrial Engineering, 63, pp.109–119.
[45] Zoulfaghari, H., Zeinal Hamadani, A., and Abouei Ardakan, M., (2014). Bi-objective redundancy allocation problem for a system with mixed repairable and nonrepairable components, ISA Transactions, 53, pp.17–24.
[46] Zaretalab A, Hajipour V, Sharifi M, Shahriari, M. R., (2015). A knowledge-based archive multi-objective simulated annealing algorithm to optimize series–parallel system with choice of redundancy strategies, Computers & Industrial Engineering, 80 pp.33–44.
[47] Sadeghi, J., Sadeghi, S., Niaki, S. T., (2014). A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: An NSGA-II with tuned parameters, Computers & Operations Research, 41, pp.53–64.
[48] Sabri-Laghaie, K.,
Karimi-Nasab, M., (2019). Random search algorithms for redundancy allocation problem of a queuing system with maintenance considerations, Reliability Engineering & System Safety, 185, pp. 144-162.
[49] Mirchandani, P.B., Francis, R.L. (Eds.), (1990). Discrete Location Theory, Wiley, New York.
[50] Kirkpatrick, C. D. Gellat, M. P. Vecchi, (1983). Optimization by simulated annealing, Scienc, pp. 671-680.
Bandyopadhyay, S., Saha, S., Maulik, U., & Deb, K., (2008). A simulated annealing based multi-objective optimization algorithm: AMOSA, IEEE Transactions on Evolutionary Computation, 12(3), pp. 269–283.