References
- Arani, H. V., & Torabi, S. A. (2018). Integrated material-financial supply chain master planning under mixed uncertainty. Information Sciences, 423, 96–114. https://doi.org/https://doi.org/10.1016/j.ins.2017.09.045
- Ballou, R. H. (2004). Business logistics/supply chain management: Planning. organizing, and controlling the supply chain (5th ed.). Pearson/Prentice Hall.
- Cadenas, J. M., & Verdegay, J. L. (1997). Using fuzzy numbers in linear programming. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 27(6), 1016–1022.
- Çebi, F., & Otay, I. (2016). A two-stage fuzzy approach for supplier evaluation and order allocation problem with quantity discounts and lead time. Information Sciences, 339, 143–157. https://doi.org/https://doi.org/10.1016/j.ins.2015.12.032
- Chang, C., Chen, H., & Zhuang, Z. (2014). Integrated multi-choice goal programming and multi-segment goal programming for supplier selection considering imperfect-quality and price quantity discounts in a multiple sourcing environment. International Journal of Systems Science, 45(5), 1101–1111. https://doi.org/https://doi.org/10.1080/00207721.2012.745024
- Chiandussi, G., Codegone, M., Ferrero, S., & Varesio, F. E. (2012). Comparison of multi-objective optimization methodologies for engineering applications. Computers & Mathematics with Applications, 63(5), 912–942. https://doi.org/https://doi.org/10.1016/j.camwa.2011.11.057
- Comelli, M., Féniès, P., & Tchernev, N. (2008). A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain. International Journal of Production Economics, 112(1), 77–95. https://doi.org/https://doi.org/10.1016/j.ijpe.2007.01.012
- Darvishi, F., Ghasemy Yaghin, R., & Sadeghi, A. (2020). Integrated fabric procurement and multi-site apparel production planning with cross-docking: A hybrid fuzzy-robust stochastic programming approach. Applied Soft Computing, 92, 106267. https://doi.org/https://doi.org/10.1016/j.asoc.2020.106267
- Delgado, M., Ruiz, M. D., Sánchez, D., & Vila, M. A. (2014). Fuzzy quantification: A state of the art. Fuzzy Sets and Systems, 242, 1–30. https://doi.org/https://doi.org/10.1016/j.fss.2013.10.012
- Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: Theory and applications. Academic Press.
- Dubois, D., & Prade, H. M. (1988). Possibility theory: An approach to computerized processing of uncertainty. Springer.
- Gao, S., Zhang, Z., & Cao, C. (2009). Multiplication operation on fuzzy numbers. Journal of Software, 4(4), 331–338. https://doi.org/https://doi.org/10.4304/jsw.4.4.331-338
- Ghadimi, P., Ghassemi Toosi, F., & Heavey, C. (2018). A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain. European Journal of Operational Research, 269(1), 286–301. https://doi.org/https://doi.org/10.1016/j.ejor.2017.07.014
- Ghasemy Yaghin, R. (2020). Enhancing supply chain production-marketing planning with geometric multivariate demand function (a case study of textile industry). Computers & Industrial Engineering, 140, 106220. https://doi.org/https://doi.org/10.1016/j.cie.2019.106220
- Ghasemy Yaghin, R., & Darvishi, F. (2020). Order allocation and procurement transport planning in apparel supply chain: A utility-based possibilistic-flexible programming approach. Fuzzy Sets and Systems, 398, 1–33. https://doi.org/https://doi.org/10.1016/j.fss.2019.09.016
- Ghasemy Yaghin, R., & Goh, M. (2020). Procurement, production, and price planning under visibility and risk: A generalised Benders decomposition method. International Journal of Production Research. https://doi.org/https://doi.org/10.1080/00207543.2020.1788735
- Ghasemy Yaghin, R., Sarlak, P., & Ghareaghaji, A. A. (2020). Robust master planning of a socially responsible supply chain under fuzzy-stochastic uncertainty (A case study of clothing industry). Engineering Applications of Artificial Intelligence, 94, 103715. https://doi.org/https://doi.org/10.1016/j.engappai.2020.103715
- Ghasemy Yaghin, R., Torabi, S. A., & Fatemi Ghomi, S. M. T. (2012). Integrated markdown pricing and aggregate production planning in a two echelon supply chain: A hybrid fuzzy multiple objective approach. Applied Mathematical Modelling, 36(12), 6011–6030. https://doi.org/https://doi.org/10.1016/j.apm.2012.01.029
- Ghodsypour, S. H., & O'Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56-57, 199–212. https://doi.org/https://doi.org/10.1016/S0925-5273(97)00009-1
- Ghodsypour, S. H., & O'Brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15–27. https://doi.org/https://doi.org/10.1016/S0925-5273(01)00093-7
- Hakala, T., Puolakka, A., Nousiainen, P., Vuorela, T., & Vanhala, J. (2018). Application of air bladders for medical compression hosieries. Textile Research Journal, 88(19), 2169–2181. https://doi.org/https://doi.org/10.1177/0040517517716907
- Hamdan, S., & Cheaitou, A. (2017a). Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach. Computers & Operations Research, 81, 282–304. https://doi.org/https://doi.org/10.1016/j.cor.2016.11.005
- Hamdan, S., & Cheaitou, A. (2017b). Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availability. Computers & Industrial Engineering, 110, 573–589. https://doi.org/https://doi.org/10.1016/j.cie.2017.03.028
- Hammami, R., Temponi, C., & Frein, Y. (2014). A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts. European Journal of Operational Research, 233(1), 159–170. https://doi.org/https://doi.org/10.1016/j.ejor.2013.08.020
- Inuiguchi, M., & Ramı́k, J. (2000). Possibilistic linear programming: A brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems, 111(1), 3–28. https://doi.org/https://doi.org/10.1016/S0165-0114(98)00449-7
- Jiménez, M., Arenas, M., Bilbao, A., & Rodrı’Guez, M. V. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 177(3), 1599–1609. https://doi.org/https://doi.org/10.1016/j.ejor.2005.10.002
- Karami, S., Ghasemy Yaghin, R., & Mousazadegan, F. (2021). Supplier selection and evaluation in the garment supply chain: An integrated DEA–PCA–VIKOR approach. Journal of the Textile Institute, 112(4), 578–595. https://doi.org/https://doi.org/10.1080/00405000.2020.1768771
- Keskin, B. B., Uster, H., & Cetinkay, S. (2010). Integration of strategic and tactical decisions for vendor selection under capacity constraints. Computers & Operations Research, 37(12), 2182–2191. https://doi.org/https://doi.org/10.1016/j.cor.2010.03.008
- Kumar, P., Shankar, R., & Yadav, S. S. (2011). Global supplier selection and order allocation using FQFD and MOLP. International Journal of Logistics Systems and Management, 9(1), 43–68. https://doi.org/https://doi.org/10.1504/IJLSM.2011.040059
- Kumar, M., Vrat, P., & Shankar, R. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering, 46(1), 69–85. https://doi.org/https://doi.org/10.1016/j.cie.2003.09.010
- Lai, Y. J., & Hwang, C. L. (1992). Fuzzy mathematical programming: Methods and applications. Springer-Verlag.
- Liu, Y., & Kerre, E. E. (1998). An overview of fuzzy quantifiers. (I). Interpretations, Fuzzy Sets and Systems, 95, 1–21.
- Lo, H., Liou, J. J. H., Wang, H., & Tsai, Y. (2018). An integrated model for solving problems in green supplier selection and order allocation. Journal of Cleaner Production, 190, 339–352. https://doi.org/https://doi.org/10.1016/j.jclepro.2018.04.105
- Luhandjula, M. K. (2015). Fuzzy optimization: Milestones and perspectives. Fuzzy Sets and Systems, 274, 4–11. https://doi.org/https://doi.org/10.1016/j.fss.2014.01.004
- Madronero, M., Peidro, D., & Mula, J. (2017). A mathematical programming model for integrating production and procurement transport decision. Applied Mathematical Modelling, 52, 527–543. https://doi.org/https://doi.org/10.1016/j.apm.2017.08.009
- Martínez-de-Albéniz, V., & Wang, J. (2019). Supply base design for the procurement of multiple items. Production and Operations Management, 28(8), 2087–2109. https://doi.org/https://doi.org/10.1111/poms.13026
- Mendoza, A., & Ventura, J. A. (2013). Modeling actual transportation costs in supplier selection and order quantity allocation decisions. Operational Research, 13(1), 5–25. https://doi.org/https://doi.org/10.1007/s12351-011-0109-3
- Moazzem, S., Daver, F., Crossin, E., & Wang, L. (2018). Assessing environmental impact of textile supply chain using life cycle assessment methodology. The Journal of the Textile Institute, 109(12), 1574–1585. https://doi.org/https://doi.org/10.1080/00405000.2018.1434113
- Monczka, R., Handfield, R., Giunipero, L., & Patterson, J. (2011). Purchasing and supply chain management (5th ed.). Southwestern Publishing.
- Nakiboglu, G., & Bulgurcu, B. (2021). Supplier selection in a Turkish textile company by using intuitionistic fuzzy decision-making. The Journal of the Textile Institute, 112(2), 322–332. https://doi.org/https://doi.org/10.1080/00405000.2020.1747675
- Okongwu, U., Lauras, M., Francois, J., & Deschamps, J. C. (2016). Impact of the integration of tactical supply chain planning determinants on performance. Journal of Manufacturing Systems, 38, 181–194. https://doi.org/https://doi.org/10.1016/j.jmsy.2014.10.003
- Parra, M. A., Bilbao Terol, A., Gladish, B. P., & Rodrı́guez Urı́a, M. V., (2005). Solving a multi-objective possibilistic problem through compromise programming. European Journal of Operational Research, 164(3), 748–759. https://doi.org/https://doi.org/10.1016/j.ejor.2003.11.028
- Pazhani, S., Ventura, J. A., & Mendoza, A. (2016). A serial inventory system with supplier selection and order quantity allocation considering transportation costs. Applied Mathematical Modelling, 40(1), 612–634. https://doi.org/https://doi.org/10.1016/j.apm.2015.06.008
- Pereira, D. F., Oliveira, J. F., & Carravilla, M. A. (2020). Tactical sales and operations planning: A holistic framework and a literature review of decision-making models. International Journal of Production Economics, 228, 107695. https://doi.org/https://doi.org/10.1016/j.ijpe.2020.107695
- Razmi, J., Jafari, M. S., & Khakbaz, M. H. (2009). An integrated fuzzy group decision making fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation. The International Journal of Advanced Manufacturing Technology, 43(5–6), 590–607. https://doi.org/https://doi.org/10.1007/s00170-008-1719-7
- Rommelfanger, H., & Słowinski, R. (1998). Fuzzy linear programming with single or multiple objective functions. In R. Słowinski (Ed.), Fuzzy sets in decision analysis. Operations research and statistics, in: The handbooks of fuzzy sets series, vol. 1. Springer.
- Shyamal, K., & Pal, M. (2007). Triangular fuzzy matrices. Iranian Journal of Fuzzy Systems, 4(1), 75–87.
- Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2008). Designing and managing the supply chain: concepts, strategies and case studies (3rd ed.). McGraw-Hill Irwin.
- Tanaka, H. (1987). Fuzzy data analysis by possibilistic linear models. Fuzzy Sets and Systems, 24(3), 363–375. https://doi.org/https://doi.org/10.1016/0165-0114(87)90033-9
- Tanaka, H., Guo, P., & Zimmermann, H. J. (2000). Possibility distributions of fuzzy decision variables obtained from possibilistic linear programming problems. Fuzzy Sets and Systems, 113, 323–332.
- Torabi, S. A., & Moghaddam, M. (2012). Multi-site integrated production-distribution planning with trans-shipment: A fuzzy goal programming approach. International Journal of Production Research, 50(6), 1726–1748. https://doi.org/https://doi.org/10.1080/00207543.2011.560907
- Torabi, S. A., & Hassini, E. (2009). Multi-site production planning integrating procurement and distribution plans in multi echelon supply chains: An interactive fuzzy goal programming approach. International Journal of Production Research, 47(19), 5475–5499. https://doi.org/https://doi.org/10.1080/00207540801905460
- Wu, C.-W., & Liao, M.-Y. (2014). Fuzzy non-linear programming approach for evaluating and ranking process yields with imprecise data. Fuzzy Sets and Systems, 246, 142–155. https://doi.org/https://doi.org/10.1016/j.fss.2013.10.014
- Wu, Z., & Xia, W. (2007). Supplier selection with multiple criteria in volume discount environments. International Journal of Management Science, Omega, 35(5), 494–504. https://doi.org/https://doi.org/10.1016/j.omega.2005.09.002