[1]
|
S. H. Amin and F. Baki, A facility location model for global closed-loop supply chain network design, Applied Mathematical Modelling, 41 (2017), 316-330.
doi: 10.1016/j.apm.2016.08.030.
|
[2]
|
S. H. Amin, G. Zhang and P. Akhtar, Effects of uncertainty on a tire closed-loop supply chain network, Expert Systems with Applications, 73 (2017), 82-91.
|
[3]
|
G. Behzadi, M. O. Sullivan, T. Olsen and A. Zhang, Allocation flexibility for agribusiness supply chains under market demand disruption, International Journal of Production Research, 56 (2018), 3524-3546.
|
[4]
|
C. Benoît, G. A. Norris, S. Valdivia, A. Ciroth, A. Moberg, U. Bos, S. Prakash, C. Ugaya and T. Beck, The guidelines for social life cycle assessment of products: just in time!, The International Journal of Life Cycle Assessment, 15 (2010), 156-163.
|
[5]
|
M. Brandenburg, Low carbon supply chain configuration for a new product–a goal programming approach, International Journal of Production Research, 53 (2015), 6588-6610.
|
[6]
|
M. Brandenburg, A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects, Omega, 70 (2017), 58-76.
|
[7]
|
S. R. Cardoso, A. P. Barbosa-Póvoa and S. Relvas, Integrating financial risk measures into the design and planning of closed-loop supply chains, Computers & Chemical Engineering, 85 (2016), 105-123.
|
[8]
|
J. Czyzyk, M. P. Mesnier and J. J. Moré, The neos server, IEEE Computational Science and Engineering, 5 (1998), 68-75.
|
[9]
|
E. D. Dolan, Neos server 4.0 administrative guide, arXiv preprint cs/0107034.
|
[10]
|
M. Eskandarpour, P. Dejax, J. Miemczyk and O. Péton, Sustainable supply chain network design: An optimization-oriented review, Omega, 54 (2015), 11-32.
|
[11]
|
H. Fang and R. Xiao, Resilient closed–loop supply chain network design based on patent protection, International Journal of Computer Applications in Technology, 48 (2013), 49-57.
|
[12]
|
M. Goedkoop, R. Heijungs, M. Huijbregts, A. De Schryver, J. Struijs, R. Van Zelm et al., A life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level, The Hague, Ministry of VROM. ReCiPe., .
|
[13]
|
A. Goli, H. K. Zare, R. Tavakkoli-Moghaddam and A. Sadeghieh, Application of robust optimization for a product portfolio problem using an invasive weed optimization algorithm, Numerical Algebra, Control & Optimization, 9 (2019), 187-209.
doi: 10.3934/naco.2019014.
|
[14]
|
W. Gropp and J. Moré, Optimization environments and the neos server. Approximation Theory and Optimization (eds. md buhmann and a. iserles), 1997.
|
[15]
|
T. W. Hill and A. Ravindran, On programming with absolute-value functions, Journal of Optimization Theory and Applications, 17 (1975), 181-183.
doi: 10.1007/BF00933924.
|
[16]
|
M. A. Huijbregts, S. Hellweg, R. Frischknecht, H. W. Hendriks, K. Hungerbuhler and A. J. Hendriks, Cumulative energy demand as predictor for the environmental burden of commodity production, Environmental Science & Technology, 44 (2010), 2189-2196.
|
[17]
|
G. Jalali, R. Tavakkoli-Moghaddam, M. Ghomi-Avili and A. Jabbarzadeh, A network design model for a resilient closed-loop supply chain with lateral transshipment, International Journal of Engineering, 30 (2017), 374-383.
|
[18]
|
D. K. Kadambala, N. Subramanian, M. K. Tiwari, M. Abdulrahman and C. Liu, Closed loop supply chain networks: Designs for energy and time value efficiency, International Journal of Production Economics, 183 (2017), 382-393.
|
[19]
|
G. Kara, A. Özmen and G.-W. Weber, Stability advances in robust portfolio optimization under parallelepiped uncertainty, Central European Journal of Operations Research, 27 (2019), 241-261.
doi: 10.1007/s10100-017-0508-5.
|
[20]
|
S. Khalilpourazari and M. Mohammadi, Optimization of closed-loop supply chain network design: a water cycle algorithm approach, in 2016 12th International Conference on Industrial Engineering (ICIE), IEEE, (2016), 41–45.
|
[21]
|
P. R. Kleindorfer and G. H. Saad, Managing disruption risks in supply chains, Production and Operations Management, 14 (2005), 53-68.
|
[22]
|
W. Klibi, A. Martel and A. Guitouni, The design of robust value-creating supply chain networks: a critical review, European Journal of Operational Research, 203 (2010), 283-293.
|
[23]
|
R. Lotfi and N. M. AMIN, Multi-objective capacitated facility location with hybrid fuzzy simplex and genetic algorithm approach,
|
[24]
|
R. Lotfi, Y. Z. Mehrjerdi and N. Mardani, A multi-objective and multi-product advertising billboard location model with attraction factor mathematical modeling and solutions, International Journal of Applied Logistics (IJAL), 7 (2017), 64-86.
|
[25]
|
R. Lotfi, Y. Z. Mehrjerdi, M. S. Pishvaee, Razmi and A. Sadeghieh, A robust optimization approach to resilience and sustainable closed-loop supply chain network design under risk averse Presented at the 15th Iran International Industrial Engineering Conference, 2019.
|
[26]
|
R. Lotfi, G.-W. Weber, S. M. Sajadifar and N. Mardani, Interdependent demand in the two-period newsvendor problem, Journal of Industrial & Management Optimization, 777–792.
doi: 10.3934/jimo.2018143.
|
[27]
|
M. Mahmud, N. Huda, S. Farjana and C. Lang, Environmental impacts of solar-photovoltaic and solar-thermal systems with life-cycle assessment, Energies, 11 (2018), 2346.
|
[28]
|
S. Mari, Y. Lee and M. Memon, Sustainable and resilient supply chain network design under disruption risks, Sustainability, 6 (2014), 6666-6686.
|
[29]
|
S. Mari, Y. Lee and M. Memon, Sustainable and resilient garment supply chain network design with fuzzy multi-objectives under uncertainty, Sustainability, 8 (2016), 1038.
|
[30]
|
M. J. Meixell and V. B. Gargeya, Global supply chain design: A literature review and critique, Transportation Research Part E: Logistics and Transportation Review, 41 (2005), 531-550.
|
[31]
|
M. T. Melo, S. Nickel and F. Saldanha-Da-Gama, Facility location and supply chain management–a review, European Journal of Operational Research, 196 (2009), 401-412.
doi: 10.1016/j.ejor.2008.05.007.
|
[32]
|
J. M. Mulvey, R. J. Vanderbei and S. A. Zenios, Robust optimization of large-scale systems, Operations Research, 43 (1995), 264-281.
doi: 10.1287/opre.43.2.264.
|
[33]
|
J. Q. F. Neto, G. Walther, J. Bloemhof, J. Van Nunen and T. Spengler, A methodology for assessing eco-efficiency in logistics networks, European Journal of Operational Research, 193 (2009), 670-682.
|
[34]
|
A. R. Nour and A. M. Kamali, A weighted metric method to optimize multi-response robust problems,
|
[35]
|
N. Noyan, Risk-averse two-stage stochastic programming with an application to disaster management, Computers & Operations Research, 39 (2012), 541-559.
doi: 10.1016/j.cor.2011.03.017.
|
[36]
|
M. S. Pishvaee, J. Razmi and S. A. Torabi, An accelerated benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain, Transportation Research Part E: Logistics and Transportation Review, 67 (2014), 14-38.
doi: 10.1016/j.fss.2012.04.010.
|
[37]
|
S. Prakash, S. Kumar, G. Soni, V. Jain and A. P. S. Rathore, Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach, Annals of Operations Research, 1–28.
|
[38]
|
S. Prakash, G. Soni and A. P. S. Rathore, Embedding risk in closed-loop supply chain network design: Case of a hospital furniture manufacturer, Journal of Modelling in Management, 12 (2017), 551-574.
|
[39]
|
J. Quariguasi Frota Neto, G. Walther, J. Bloemhof, J. Van Nunen and T. Spengler, From closed-loop to sustainable supply chains: the weee case, International Journal of Production Research, 48 (2010), 4463-4481.
|
[40]
|
N. Sahebjamnia, A. M. Fathollahi-Fard and M. Hajiaghaei-Keshteli, Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks, Journal of cleaner production, 196 (2018), 273-296.
|
[41]
|
Y. Shi, L. C. Alwan, C. Tang and X. Yue, A newsvendor model with autocorrelated demand under a time-consistent dynamic cvar measure, IISE Transactions, 51 (2019), 653-671.
|
[42]
|
H. Soleimani and K. Govindan, Reverse logistics network design and planning utilizing conditional value at risk, European Journal of Operational Research, 237 (2014), 487-497.
doi: 10.1016/j.ejor.2014.02.030.
|
[43]
|
A. Sorokin, V. Boginski, A. Nahapetyan and P. M. Pardalos, Computational risk management techniques for fixed charge network flow problems with uncertain arc failures, Journal of Combinatorial Optimization, 25 (2013), 99-122.
doi: 10.1007/s10878-011-9422-2.
|
[44]
|
K. Subulan, A. Baykasoğlu, F. B. Özsoydan, A. S. Taşan and H. Selim, A case-oriented approach to a lead/acid battery closed-loop supply chain network design under risk and uncertainty, Journal of Manufacturing Systems, 37 (2015), 340-361.
|
[45]
|
H. A. Taha, Operations Research: An Introduction, Vol. 790, Pearson/Prentice Hall, 2011.
|
[46]
|
M. Talaei, B. F. Moghaddam, M. S. Pishvaee, A. Bozorgi-Amiri and S. Gholamnejad, A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry, Journal of Cleaner Production, 113 (2016), 662-673.
|
[47]
|
R. Tavakkoli-Moghaddam, S. Sadri, N. Pourmohammad-Zia and M. Mohammadi, A hybrid fuzzy approach for the closed-loop supply chain network design under uncertainty, Journal of Intelligent & Fuzzy Systems, 28 (2015), 2811-2826.
|
[48]
|
S. Torabi, J. Namdar, S. Hatefi and F. Jolai, An enhanced possibilistic programming approach for reliable closed-loop supply chain network design, International Journal of Production Research, 54 (2016), 1358-1387.
|