[1] |
Ivanov, D., An adaptive framework for aligning (re)planning decisions on supply chain strategy, design, tactics, and operations, Int. J. Prod. Res., 48, 13, 3999-4017 (2010) · Zbl 1197.90257 · doi:10.1080/00207540902893417 |
[2] |
Melo, MT; Nickel, S.; Saldanha-Da-Gama, F., A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon, Int. J. Prod. Econ., 136, 1, 218-230 (2012) · doi:10.1016/j.ijpe.2011.11.022 |
[3] |
Melo, MT; Nickel, S.; Saldanha-da-Gama, F., Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning, Comput. Oper. Res., 33, 1, 181-208 (2006) · Zbl 1077.90006 · doi:10.1016/j.cor.2004.07.005 |
[4] |
Correia, I.; Melo, T., A multi-period facility location problem with modular capacity adjustments and flexible demand fulfillment, Comput. Ind. Eng., 110, 307-321 (2017) · doi:10.1016/j.cie.2017.06.003 |
[5] |
Correia, I.; Melo, T.; Saldanha-Da-Gama, F., Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions, Comput. Ind. Eng., 64, 1, 366-380 (2013) · doi:10.1016/j.cie.2012.11.001 |
[6] |
Cortinhal, MJ; Lopes, MJ; Melo, MT, Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: a computational study, Comput. Ind. Eng., 90, 118-131 (2015) · doi:10.1016/j.cie.2015.08.019 |
[7] |
Guan, Z.; Mou, Y.; Sun, M., Hybrid robust and stochastic optimization for a capital-constrained fresh product supply chain integrating risk-aversion behavior and financial strategies, Comput. Ind. Eng. (2022) · doi:10.1016/j.cie.2022.108224 |
[8] |
Guan, Z., Tao, J., Sun, M.: Integrated optimization of resilient supply chain network design and operations under disruption risks. In: Khojasteh, J., Xu, H., Zolfaghari, S. (eds.) Supply Chain Risk Mitigation: Strategies, Methods and Applications, p. Forthcoming. Springer (2022) |
[9] |
Melo, MT; Nickel, S.; Saldanha-da-Gama, F., Facility location and supply chain management—a review, Eur. J. Oper. Res., 196, 2, 401-412 (2009) · Zbl 1163.90341 · doi:10.1016/j.ejor.2008.05.007 |
[10] |
Badri, H.; Bashiri, M.; Hejazi, TH, Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method, Comput. Oper. Res., 40, 4, 1143-1154 (2013) · Zbl 1349.90274 · doi:10.1016/j.cor.2012.11.005 |
[11] |
Martínez-Costa, C.; Mas-Machuca, M.; Benedito, E.; Corominas, A., A review of mathematical programming models for strategic capacity planning in manufacturing, Int. J. Prod. Econ., 153, 66-85 (2014) · doi:10.1016/j.ijpe.2014.03.011 |
[12] |
Jakubovskis, A., Flexible production resources and capacity utilization rates: a robust optimization perspective, Int. J. Prod. Econ., 189, 77-85 (2017) · doi:10.1016/j.ijpe.2017.03.011 |
[13] |
Verter, V.; Dasci, A., The plant location and fexible technology acquisition problem, Eur. J. Oper. Res., 136, 366-382 (2002) · Zbl 1091.90530 · doi:10.1016/S0377-2217(01)00023-6 |
[14] |
Fattahi, M.; Mahootchi, M.; Govindan, K.; Moattar Husseini, SM, Dynamic supply chain network design with capacity planning and multi-period pricing, Transp. Res. Part E: Log. Transp. Rev., 81, 169-202 (2015) · doi:10.1016/j.tre.2015.06.007 |
[15] |
Bish, EK; Wang, Q., Optimal investment strategies for flexible resources, considering pricing and correlated demands, Oper. Res., 52, 6, 954-964 (2004) · Zbl 1165.91428 · doi:10.1287/opre.1040.0138 |
[16] |
Pishvaee, MS; Razmi, J.; Torabi, SA, Robust possibilistic programming for socially responsible supply chain network design: a new approach, Fuzzy Sets Syst., 206, 1-20 (2012) · Zbl 1252.90009 · doi:10.1016/j.fss.2012.04.010 |
[17] |
Tang, CS, Perspectives in supply chain risk management, Int. J. Prod. Econ., 103, 2, 451-488 (2006) · doi:10.1016/j.ijpe.2005.12.006 |
[18] |
Li, X.; Lu, S.; Li, Z.; Wang, Y.; Zhu, L., Modeling and optimization of bioethanol production planning under hybrid uncertainty: a heuristic multi-stage stochastic programming approach, Energy, 245, 123285 (2022) · doi:10.1016/j.energy.2022.123285 |
[19] |
Ahmadi, E.; Masel, D.; Hostetler, S., A robust stochastic decision-making model for inventory allocation of surgical supplies to reduce logistics costs in hospitals: a case study, Oper. Res. Health Care, 20, 33-44 (2019) · doi:10.1016/J.ORHC.2018.09.001 |
[20] |
Ahmadi, E.; Masel, DT; Hostetler, S.; Maihami, R.; Ghalehkhondabi, I., A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time, TOP, 28, 1, 231-269 (2020) · Zbl 1435.90003 · doi:10.1007/s11750-019-00533-1 |
[21] |
Ahmadi, E.; Mosadegh, H.; Maihami, R.; Ghalehkhondabi, I.; Sun, M.; Süer, GA, Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain, Comput. Oper. Res., 147, 105968 (2022) · Zbl 1520.90004 · doi:10.1016/j.cor.2022.105968 |
[22] |
Farrokh, M.; Azar, A.; Jandaghi, G.; Ahmadi, E., A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty, Fuzzy Sets Syst., 341, 69-91 (2018) · Zbl 1397.90057 · doi:10.1016/j.fss.2017.03.019 |
[23] |
Guo, Y.; Shi, Q.; Guo, C.; Li, J.; You, Z.; Wang, Y., Designing a sustainable-remanufacturing closed-loop supply chain under hybrid uncertainty: cross-efficiency sorting multi-objective optimization, Comput. Ind. Eng., 172, PA, 108639 (2022) · doi:10.1016/j.cie.2022.108639 |
[24] |
Keyvanshokooh, E.; Ryan, SM; Kabir, E., Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition, Eur. J. Oper. Res., 249, 1, 76-92 (2016) · Zbl 1346.90136 · doi:10.1016/j.ejor.2015.08.028 |
[25] |
Bassamboo, A.; Randhawa, RS; Van Mieghem, JA, Optimal flexibility configurations in newsvendor networks: going beyond chaining and pairing, Manage. Sci., 56, 8, 1285-1303 (2010) · Zbl 1232.90018 · doi:10.1287/mnsc.1100.1184 |
[26] |
Bose, D.; Chatterjee, AK; Barman, S., Towards dominant flexibility configurations in strategic capacity planning under demand uncertainty, Opsearch, 53, 3, 604-619 (2016) · Zbl 1360.90116 · doi:10.1007/s12597-015-0247-0 |
[27] |
Eppen, GD; Martin, RK; Schrage, L., OR practice—a scenario approach to capacity planning, Oper. Res., 37, 4, 517-527 (1989) · doi:10.1287/opre.37.4.517 |
[28] |
Fine, CH; Freund, RM, Optimal investment in product-flexible manufacturing capacity, Manage. Sci., 36, 4, 449-466 (1990) · Zbl 0699.90044 · doi:10.1287/mnsc.36.4.449 |
[29] |
Verter, V., An integrated model for facility location and technology acquisition, Comput. Oper. Res., 29, 583-592 (2002) · Zbl 0995.90064 · doi:10.1016/S0305-0548(00)00057-5 |
[30] |
Ahmed, S.; Sahinidis, NV, Selection, acquisition, and allocation of manufacturing technology in a multi-period environment, Eur. J. Oper. Res., 189, 3, 807-821 (2008) · Zbl 1146.90382 · doi:10.1016/j.ejor.2006.11.046 |
[31] |
Chen, Z-L; Li, S.; Tirupati, D., A scenario-based stochastic programming approach for technology and capacity planning, Comput. Oper. Res., 29, 7, 781-806 (2002) · Zbl 0995.90053 · doi:10.1016/S0305-0548(00)00076-9 |
[32] |
Li, S.; Tirupati, D., Dynamic capacity expansion problem with multiple products: Technology selection and timing of capacity additions, Oper. Res., 42, 5, 958-976 (1994) · Zbl 0816.90073 · doi:10.1287/opre.42.5.958 |
[33] |
Lim, S.; Kim, Y., An integrated approach to dynamic plant location and capacity planning, J. Oper. Res. Soc., 50, 12, 1205-1216 (2014) · Zbl 1054.90591 · doi:10.1057/palgrave.jors.2600849 |
[34] |
Ji, S.; Tang, J.; Sun, M.; Luo, R., Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences, J. Ind. Manag. Optim., 18, 3, 1949-1977 (2022) · Zbl 1499.65219 · doi:10.3934/jimo.2021051 |
[35] |
Xin, C.; Zhou, Y.; Sun, M.; Chen, X., Strategic inventory and dynamic pricing for a two-echelon green product supply chain, J. Clean. Prod., 363 (2022) · doi:10.1016/j.jclepro.2022.132422 |
[36] |
Govindan, K.; Gholizadeh, H., Robust network design for sustainable-resilient reverse logistics network using big data: a case study of end-of-life vehicles, Transp. Res. Part E: Log. Transp. Rev., 149, 102279 (2021) · doi:10.1016/j.tre.2021.102279 |
[37] |
Papageorgiou, LG, Supply chain optimisation for the process industries: advances and opportunities, Comput. Chem. Eng., 33, 12, 1931-1938 (2009) · doi:10.1016/j.compchemeng.2009.06.014 |
[38] |
Özkir, V.; Başligil, H., Multi-objective optimization of closed-loop supply chains in uncertain environment, J. Clean. Prod., 41, 114-125 (2013) · doi:10.1016/j.jclepro.2012.10.013 |
[39] |
Gholami, RA; Sandal, LK; Ubøe, J., A solution algorithm for multi-period bi-level channel optimization with dynamic price-dependent stochastic demand, Omega, 102 (2021) · doi:10.1016/j.omega.2020.102297 |
[40] |
Raza, SA; Abdullakutty, FC; Rathinam, S.; Govindaluri, SM, Multi-objective framework for process mean selection and price differentiation with leakage effects under price-dependent stochastic demand, Comput. Ind. Eng., 127, 698-708 (2019) · doi:10.1016/j.cie.2018.11.010 |
[41] |
Shah, NH; Soni, H., Continuous review inventory model for fuzzy price dependent demand, Int. J. Model. Oper. Manag., 1, 3, 209-222 (2011) |
[42] |
Yu, Y.; Zhu, J.; Wang, C., A newsvendor model with fuzzy price-dependent demand, Appl. Math. Model., 37, 5, 2644-2661 (2013) · Zbl 1351.90020 · doi:10.1016/j.apm.2012.06.008 |
[43] |
Govindan, K.; Darbari, JD; Agarwal, V.; Jha, PC, Fuzzy multi-objective approach for optimal selection of suppliers and transportation decisions in an eco-efficient closed loop supply chain network, J. Clean. Prod., 165, 1598-1619 (2017) · doi:10.1016/j.jclepro.2017.06.180 |
[44] |
Govindan, K.; Fattahi, M.; Keyvanshokooh, E., Supply chain network design under uncertainty: a comprehensive review and future research directions, Eur. J. Oper. Res. (2017) · Zbl 1380.90041 · doi:10.1016/j.ejor.2017.04.009 |
[45] |
Mulvey, JM; Vanderbei, MJ; Zenios, SA, Robust optimization of large scale systems, Oper. Res., 43, 2, 264-281 (1995) · Zbl 0832.90084 · doi:10.1287/opre.43.2.264 |
[46] |
Ghahremani-Nahr, J.; Kian, R.; Sabet, E., A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm, Expert Syst. Appl., 116, 454-471 (2019) · doi:10.1016/j.eswa.2018.09.027 |
[47] |
Ahmadi-Javid, A.; Hoseinpour, P., Incorporating location, inventory and price decisions into a supply chain distribution network design problem, Comput. Oper. Res., 56, 110-119 (2015) · Zbl 1348.90058 · doi:10.1016/j.cor.2014.07.014 |
[48] |
Ghomi-Avili, M.; Naeini, SGJ; Tavakkoli-Moghaddam, R.; Jabbarzadeh, A., A fuzzy pricing model for a green competitive closed-loop supply chain network design in the presence of disruptions, J. Clean. Prod., 188, 425-442 (2018) · doi:10.1016/j.jclepro.2018.03.273 |
[49] |
Duc, TTH; Loi, NT; Buddhakulsomsiri, J., Buyback contract in a risk-averse supply chain with a return policy and price dependent demand, Int. J. Log. Syst. Manag., 30, 3, 298-329 (2018) |
[50] |
Ullah, M.; Khan, I.; Sarkar, B., Dynamic pricing in a multi-period newsvendor under stochastic price-dependent demand, Mathematics, 7, 6, 520 (2019) · doi:10.3390/math7060520 |
[51] |
Ramezani, M.; Kimiagari, AM; Karimi, B.; Hejazi, TH, Closed-loop supply chain network design under a fuzzy environment, Knowl.-Based Syst., 59, 108-120 (2014) · doi:10.1016/j.knosys.2014.01.016 |
[52] |
Vijai, JP, Production network, technology choice, capacity investment and inventory sourcing decisions: operational hedging under demand uncertainty, Opsearch, 58, 4, 1164-1191 (2021) · Zbl 07549120 · doi:10.1007/s12597-021-00511-x |
[53] |
Boyabatlı, O.; Toktay, LB, Stochastic capacity investment and flexible vs. dedicated technology choice in imperfect capital markets, Manag. Sci., 57, 12, 2163-2179 (2011) · doi:10.1287/mnsc.1110.1395 |
[54] |
Nagaraju, D.; Kumar, BK; Narayanan, S., On the optimality of inventory and shipment policies in a two-level supply chain under quadratic price dependent demand, Int. J. Log. Syst. Manag., 35, 4, 486-510 (2020) |
[55] |
Caliskan-Demirag, O.; Chen, YF; Li, J., Channel coordination under fairness concerns and nonlinear demand, Eur. J. Oper. Res., 207, 3, 1321-1326 (2010) · Zbl 1206.90007 · doi:10.1016/j.ejor.2010.07.017 |
[56] |
Xu, M.; Qi, X.; Yu, G.; Zhang, H.; Gao, C., The demand disruption management problem for a supply chain system with nonlinear demand functions, J. Syst. Sci. Syst. Eng., 12, 1, 82-97 (2003) · doi:10.1007/s11518-006-0122-x |
[57] |
Phillips, RL, Pricing and Revenue Optimization (2005), Stanford University Press · doi:10.1515/9780804781640 |
[58] |
Ahmadi-Javid, A.; Ghandali, R., An efficient optimization procedure for designing a capacitated distribution network with price-sensitive demand, Optim. Eng., 15, 3, 801-817 (2014) · Zbl 1364.90036 · doi:10.1007/s11081-013-9245-3 |
[59] |
Talluri, KT; van Ryzin, G., The Theory and Practice of Revenue Management (2004), Boston: Kluwer Academic Publishers, Boston · Zbl 1083.90024 · doi:10.1007/b139000 |
[60] |
Dubois, D.; Prade, H., Systems of linear fuzzy constraints, Fuzzy Sets Syst., 3, 1, 37-48 (1980) · Zbl 0425.94029 · doi:10.1016/0165-0114(80)90004-4 |
[61] |
Beale, EML; Tomlin, JA, Special facilities in a general mathematical programming system for non-convex problems using ordered sets of variables, OR, 69, 447-754, 99 (1970) |
[62] |
Babazadeh, R.; Razmi, J.; Pishvaee, MS; Rabbani, M., A sustainable second-generation biodiesel supply chain network design problem under risk, Omega (UK), 66, 258-277 (2017) · doi:10.1016/j.omega.2015.12.010 |
[63] |
Tomlin, JA, Special ordered sets and an application to gas supply operation planning, Math. Program., 42, 69-84 (1988) · doi:10.1007/BF01589393 |
[64] |
Tsai, W-H; Chang, Y-C; Lin, S-J; Chen, H-C; Chu, P-Y, A green approach to the weight reduction of aircraft cabins, J. Air Transp. Manag., 40, 65-77 (2014) · doi:10.1016/j.jairtraman.2014.06.004 |
[65] |
Ben-Tal, A.; El Ghaoui, L.; Nemirovski, A., Robust Optimization (2009), Princeton University Press · Zbl 1221.90001 · doi:10.1515/9781400831050 |
[66] |
Liu, B.; Iwamura, K., Chance constrained programming with fuzzy parameters, Fuzzy Sets Syst., 94, 2, 227-237 (1998) · Zbl 0923.90141 · doi:10.1016/S0165-0114(96)00236-9 |
[67] |
Hasani, A.; Khosrojerdi, A., Robust global supply chain network design under disruption and uncertainty considering resilience strategies: a parallel memetic algorithm for a real-life case study, Transp. Res. Part E: Log. Transp. Rev., 87, 20-52 (2016) · doi:10.1016/j.tre.2015.12.009 |
[68] |
Ghavamifar, A.; Makui, A.; Taleizadeh, AA, Designing a resilient competitive supply chain network under disruption risks: a real-world application, Transp. Res. Part E: Log. Transp. Rev., 115, 87-109 (2018) · doi:10.1016/j.tre.2018.04.014 |
[69] |
Hanjoul, P.; Hansen, P.; Peeters, D.; Thisse, J-F, Uncapacitated plant location under alternative spatial price policies, Manage. Sci., 36, 1, 41-57 (1990) · Zbl 0694.90045 · doi:10.1287/mnsc.36.1.41 |
[70] |
Hansen, P.; Peeters, D.; Thisse, J., Facility location under zone pricing, J. Reg. Sci., 37, 1, 1-22 (1997) · doi:10.1111/0022-4146.00040 |
[71] |
Zeballos, LJ; Méndez, CA; Barbosa-Povoa, AP; Novais, AQ, Multi-period design and planning of closed-loop supply chains with uncertain supply and demand, Comput. Chem. Eng., 66, 151-164 (2014) · doi:10.1016/j.compchemeng.2014.02.027 |