This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Alberto, P. (2000). The logistics of industrial location decisions: An application of the analytic hierarchy process methodology. International Journal of Logistics: Research and Applications, 3(3), 273–289. doi: 10.1080/713682767AlbertoP.2000The logistics of industrial location decisions: An application of the analytic hierarchy process methodology3327328910.1080/713682767Open DOISearch in Google Scholar
An, Y., Zeng, B., Zhang, Y., & Zhao, L. (2014). Reliable p-median facility location problem: two-stage robust models and algorithms. Transportation Research Part B: Methodological, 64, 54–72. doi: 10.1016/j.trb.2014.02.005AnY.ZengB.ZhangY.ZhaoL.2014Reliable p-median facility location problem: two-stage robust models and algorithms64547210.1016/j.trb.2014.02.005Open DOISearch in Google Scholar
Ardjmand, E., Park, N., Weckman, G., & Amin-Naseri, M. R. (2014). The discrete Unconscious search and its application to uncapacitated facility location problem. Computers & Industrial Engineering, 73, 32–40. doi: 10.1016/j.cie.2014.04.010ArdjmandE.ParkN.WeckmanG.Amin-NaseriM. R.2014The discrete Unconscious search and its application to uncapacitated facility location problem73324010.1016/j.cie.2014.04.010Open DOISearch in Google Scholar
Athawale, V., Chatterjee, P., & Chakraborty, S. (2012). Decision making for facility location selection using PROMETHEE II method. International Journal of Industrial and Systems Engineering, 11(1–2), 16–30. doi: 10.1504/IJISE.2012.046652AthawaleV.ChatterjeeP.ChakrabortyS.2012Decision making for facility location selection using PROMETHEE II method111–2163010.1504/IJISE.2012.046652Open DOISearch in Google Scholar
Aydin, N., & Murat, A. (2013). A swarm intelligence based sample average approximation algorithm for the capacitated reliable facility location problem. International Journal of Production Economics, 145(1), 173–183. doi: 10.1016/j.ijpe.2012.10.019AydinN.MuratA.2013A swarm intelligence based sample average approximation algorithm for the capacitated reliable facility location problem145117318310.1016/j.ijpe.2012.10.019Open DOISearch in Google Scholar
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. doi: 10.1016/j.eswa.2012.05.056BehzadianM.OtaghsaraS. K.YazdaniM.IgnatiusJ.2012A state-of the-art survey of TOPSIS applications3917130511306910.1016/j.eswa.2012.05.056Open DOISearch in Google Scholar
Boltürk, E., Çevik Onar, S., Öztayşi, B., Kahraman, C., & Goztepe, K. (2016). Multi-attribute warehouse location selection in humanitarian logistics using hesitant fuzzy AHP. International Journal of the Analytic Hierarchy Process, 8(2), 271–298. doi: 10.13033/ijahp.v8i2.387BoltürkE.Çevik OnarS.ÖztayşiB.KahramanC.GoztepeK.2016Multi-attribute warehouse location selection in humanitarian logistics using hesitant fuzzy AHP8227129810.13033/ijahp.v8i2.387Open DOISearch in Google Scholar
Brunaud, B., Bassett, M. H., Agarwal, A., Wassick, J. M., & Grossmann, I. E. (2018). Efficient formulations for dynamic warehouse location under discrete transportation costs. Computers & Chemical Engineering, 111, 311–323. doi: 10.1016/j.compchemeng.2017.05.011BrunaudB.BassettM. H.AgarwalA.WassickJ. M.GrossmannI. E.2018Efficient formulations for dynamic warehouse location under discrete transportation costs11131132310.1016/j.compchemeng.2017.05.011Open DOISearch in Google Scholar
Büyüközkan, G., & Uztürk, D. (2017, July). Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection. In 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE) (pp. 1–6). IEEE. doi: 10.1109/FUZZ-IEEE.2017.8015684BüyüközkanG.UztürkD.2017JulyCombined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selectionIn16IEEE10.1109/FUZZ-IEEE.2017.8015684Open DOISearch in Google Scholar
Chan, F. T. S., Kumar, N., & Choy, K. L. (2007). Decision-making approach for the distribution centre location problem in a supply chain network using the fuzzy-based hierarchical concept. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(4), 725–739. doi: 10.1243/09544054JEM526ChanF. T. S.KumarN.ChoyK. L.2007Decision-making approach for the distribution centre location problem in a supply chain network using the fuzzy-based hierarchical concept221472573910.1243/09544054JEM526Open DOISearch in Google Scholar
Cheng, E. W., Li, H., & Yu, L. (2005). The analytic network process (ANP) approach to location selection: a shopping mall illustration. Construction Innovation, 5(2), 83–98. doi: 10.1108/14714170510815195ChengE. W.LiH.YuL.2005The analytic network process (ANP) approach to location selection: a shopping mall illustration52839810.1108/14714170510815195Open DOISearch in Google Scholar
Chou, S. Y., Chang, Y. H., & Shen, C. Y. (2008). A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes. European Journal of Operational Research, 189(1), 132–145. doi: 10.1016/j.ejor.2007.05.006ChouS. Y.ChangY. H.ShenC. Y.2008A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes189113214510.1016/j.ejor.2007.05.006Open DOISearch in Google Scholar
Chu, T. C. (2002). Facility location selection using fuzzy TOPSIS under group decisions. International Journal of Uncertainty, Fuzziness and Knowledge-based systems, 10(6), 687–701. doi: 10.1142/S0218488502001739ChuT. C.2002Facility location selection using fuzzy TOPSIS under group decisions10668770110.1142/S0218488502001739Open DOISearch in Google Scholar
Colson, G., & Dorigo, F. (2004). A public warehouses selection support system. European Journal of Operational Research, 153(2), 332–349. doi: 10.1016/S0377-2217(03)00156-5ColsonG.DorigoF.2004A public warehouses selection support system153233234910.1016/S0377-2217(03)00156-5Open DOISearch in Google Scholar
Cura, T. (2010). A parallel local search approach to solving the uncapacitated warehouse location problem. Computers & Industrial Engineering, 59(4), 1000–1009. doi: 10.1016/j.cie.2010.09.012CuraT.2010A parallel local search approach to solving the uncapacitated warehouse location problem5941000100910.1016/j.cie.2010.09.012Open DOISearch in Google Scholar
Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952. doi: 10.1016/j.eswa.2009.11.022DemirelT.DemirelN. Ç.KahramanC.2010Multi-criteria warehouse location selection using Choquet integral3753943395210.1016/j.eswa.2009.11.022Open DOISearch in Google Scholar
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963–973. doi: 10.1016/S0305-0548(99)00069-6DengH.YehC. H.WillisR. J.2000Inter-company comparison using modified TOPSIS with objective weights271096397310.1016/S0305-0548(99)00069-6Open DOISearch in Google Scholar
Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2013). A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a Utopian environment. International Journal of Management Science and Engineering Management, 8(4), 250–261. doi: 10.1080/17509653.2013.825075DeyB.BairagiB.SarkarB.SanyalS. K.2013A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a Utopian environment8425026110.1080/17509653.2013.825075Open DOISearch in Google Scholar
Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278. doi: 10.1080/17509653.2015.1086964DeyB.BairagiB.SarkarB.SanyalS. K.2016Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria11426227810.1080/17509653.2015.1086964Open DOISearch in Google Scholar
Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2017). Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers & Industrial Engineering, 105, 101–122. doi: 10.1016/j.cie.2016.12.025DeyB.BairagiB.SarkarB.SanyalS. K.2017Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain10510112210.1016/j.cie.2016.12.025Open DOISearch in Google Scholar
Dogan, I. (2012). Analysis of facility location model using Bayesian Networks. Expert Systems with Applications, 39(1), 1092–1104. doi: 10.1016/j.eswa.2011.07.109DoganI.2012Analysis of facility location model using Bayesian Networks3911092110410.1016/j.eswa.2011.07.109Open DOISearch in Google Scholar
Emeç, Ş., & Akkaya, G. (2018). Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem. Journal of Enterprise Information Management, 31(6), 950–962. doi: 10.1108/JEIM-12-2016-0195EmeçŞ.AkkayaG.2018Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem31695096210.1108/JEIM-12-2016-0195Open DOISearch in Google Scholar
Franek, J., & Kashi, K. (2017). Application of hybrid madm methods for performance evaluation in manufacturing. Forum Scientiae Oeconomia, 5(2), 41–54. doi: 10.23762/fso_vol5no2_17_4FranekJ.KashiK.2017Application of hybrid madm methods for performance evaluation in manufacturing52415410.23762/fso_vol5no2_17_4Open DOISearch in Google Scholar
García, J. L., Alvarado, A., Blanco, J., Jiménez, E., Maldonado, A. A., & Cortés, G. (2014). Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Computers and Electronics in Agriculture, 100, 60–69. doi: 10.1016/j.compag.2013.10.009GarcíaJ. L.AlvaradoA.BlancoJ.JiménezE.MaldonadoA. A.CortésG.2014Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process100606910.1016/j.compag.2013.10.009Open DOISearch in Google Scholar
Ghaderi, A., & Jabalameli, M. S. (2013). Modeling the budget-constrained dynamic uncapacitated facility location–network design problem and solving it via two efficient heuristics: a case study of health care. Mathematical and Computer Modelling, 57(3–4), 382–400. doi: 10.1016/j.mcm.2012.06.017GhaderiA.JabalameliM. S.2013Modeling the budget-constrained dynamic uncapacitated facility location–network design problem and solving it via two efficient heuristics: a case study of health care573–438240010.1016/j.mcm.2012.06.017Open DOISearch in Google Scholar
Guastaroba, G., & Speranza, M. G. (2014). A heuristic for BILP problems: the single source capacitated facility location problem. European Journal of Operational Research, 238(2), 438–450. doi: 10.1016/j.ejor.2014.04.007GuastarobaG.SperanzaM. G.2014A heuristic for BILP problems: the single source capacitated facility location problem238243845010.1016/j.ejor.2014.04.007Open DOISearch in Google Scholar
Hakim, R. T., & Kusumastuti, R. D. (2018). A model to determine relief warehouse location in East Jakarta using the analytic hierarchy process. International Journal of Technology, 9(7), 1405–1414. doi: 10.14716/ijtech.v9i7.1596HakimR. T.KusumastutiR. D.2018A model to determine relief warehouse location in East Jakarta using the analytic hierarchy process971405141410.14716/ijtech.v9i7.1596Open DOISearch in Google Scholar
He, J., Feng, C., Hu, D., & Liang, L. (2017). A decision model for emergency warehouse location based on a novel stochastic MCDA method: evidence from China. Mathematical Problems in Engineering, 2017, 7804781. doi: 10.1155/2017/7804781HeJ.FengC.HuD.LiangL.2017A decision model for emergency warehouse location based on a novel stochastic MCDA method: evidence from China780478110.1155/2017/7804781Open DOISearch in Google Scholar
Ho, S. C. (2015). An iterated tabu search heuristic for the single source capacitated facility location problem. Applied Soft Computing, 27, 169–178. doi: 10.1016/j.asoc.2014.11.004HoS. C.2015An iterated tabu search heuristic for the single source capacitated facility location problem2716917810.1016/j.asoc.2014.11.004Open DOISearch in Google Scholar
Huang, H. C., & Li, R. (2008). A k-product uncapacitated facility location problem. European Journal of Operational Research, 185(2), 552–562. doi: 10.1016/j.ejor.2007.01.010HuangH. C.LiR.2008A k-product uncapacitated facility location problem185255256210.1016/j.ejor.2007.01.010Open DOISearch in Google Scholar
Hung, C. C., & Chen, L. H. (2009, March). A fuzzy TOPSIS decision making model with entropy weight under intuitionistic fuzzy environment. In Proceedings of the International Multiconference of Engineers and Computer Scientists (vol. 1, pp. 13–16). IMECS Hong Kong.HungC. C.ChenL. H.2009MarchA fuzzy TOPSIS decision making model with entropy weight under intuitionistic fuzzy environmentIn11316IMECS Hong KongSearch in Google Scholar
Hwang, C., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Berlin, Germany: Springer.HwangC.YoonK.1981Berlin, GermanySpringer10.1007/978-3-642-48318-9Search in Google Scholar
Jha, M. K., Raut, R. D., Gardas, B. B., & Raut, V. (2018). A sustainable warehouse selection: an interpretive structural modelling approach. International Journal of Procurement Management, 11(2), 201–232. doi: 10.1504/IJPM.2018.090025JhaM. K.RautR. D.GardasB. B.RautV.2018A sustainable warehouse selection: an interpretive structural modelling approach11220123210.1504/IJPM.2018.090025Open DOISearch in Google Scholar
Kabak, M., & Keskin, İ. (2018). Hazardous materials warehouse selection based on GIS and MCDM. Arabian Journal for Science and Engineering, 43(6), 3269–3278. doi: 10.1007/s13369-018-3063-zKabakM.Keskinİ.2018Hazardous materials warehouse selection based on GIS and MCDM4363269327810.1007/s13369-018-3063-zOpen DOISearch in Google Scholar
Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37(7), 4999–5008. doi: 10.1016/j.eswa.2009.12.013KelemenisA.AskounisD.2010A new TOPSIS-based multi-criteria approach to personnel selection3774999500810.1016/j.eswa.2009.12.013Open DOISearch in Google Scholar
Kim, G., Park, C. S., & Yoon, K. P. (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement. International Journal of Production Economics, 50(1), 23–33. doi: 10.1016/S0925-5273(97)00014-5KimG.ParkC. S.YoonK. P.1997Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement501233310.1016/S0925-5273(97)00014-5Open DOISearch in Google Scholar
Klose, A., & Görtz, S. (2007). A branch-and-price algorithm for the capacitated facility location problem. European Journal of Operational Research, 179(3), 1109–1125. doi: 10.1016/j.ejor.2005.03.078KloseA.GörtzS.2007A branch-and-price algorithm for the capacitated facility location problem17931109112510.1016/j.ejor.2005.03.078Open DOISearch in Google Scholar
Korpela, J., & Tuominen, M. (1996). A decision aid in warehouse site selection. International Journal of Production Economics, 45(1–3), 169–180. doi: 10.1016/0925-5273(95)00135-2KorpelaJ.TuominenM.1996A decision aid in warehouse site selection451–316918010.1016/0925-5273(95)00135-2Open DOISearch in Google Scholar
Kratica, J., Dugošija, D., & Savić, A. (2014). A new mixed integer linear programming model for the multi level uncapacitated facility location problem. Applied Mathematical Modelling, 38(7–8), 2118–2129. doi: 10.1016/j.apm.2013.10.012KraticaJ.DugošijaD.SavićA.2014A new mixed integer linear programming model for the multi level uncapacitated facility location problem387–82118212910.1016/j.apm.2013.10.012Open DOISearch in Google Scholar
Kuo, M. S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208–7221. doi: 10.1016/j.eswa.2010.12.002KuoM. S.2011Optimal location selection for an international distribution center by using a new hybrid method3867208722110.1016/j.eswa.2010.12.002Open DOISearch in Google Scholar
Kutlu Gündoğdu, F., & Kahraman, C. (2019). A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. Journal of Intelligent & Fuzzy Systems, 37(1), 1197–1211. doi: 10.3233/JIFS-182651Kutlu GündoğduF.KahramanC.2019A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection3711197121110.3233/JIFS-182651Open DOISearch in Google Scholar
Lee, S. M., Green, G. I., & Kim, C. S. (1980). A multicriteria warehouse location model. Academy of Management Proceedings, 1980(1), 317–321. doi: 10.5465/ambpp.1980.4977851LeeS. M.GreenG. I.KimC. S.1980A multicriteria warehouse location model1980131732110.5465/ambpp.1980.4977851Open DOISearch in Google Scholar
Li, H., Lv, T., & Li, Y. (2015). The tractor and semitrailer routing problem with many-to-many demand considering carbon dioxide emissions. Transportation Research Part D: Transport and Environment, 34, 68–82. doi: 10.1016/j.trd.2014.10.004LiH.LvT.LiY.2015The tractor and semitrailer routing problem with many-to-many demand considering carbon dioxide emissions34688210.1016/j.trd.2014.10.004Open DOISearch in Google Scholar
Li, J., Chu, F., Prins, C., & Zhu, Z. (2014). Lower and upper bounds for a two-stage capacitated facility location problem with handling costs. European Journal of Operational Research, 236(3), 957–967. doi: 10.1016/j.ejor.2013.10.047LiJ.ChuF.PrinsC.ZhuZ.2014Lower and upper bounds for a two-stage capacitated facility location problem with handling costs236395796710.1016/j.ejor.2013.10.047Open DOISearch in Google Scholar
MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations-a Delphi study. International Journal of Operations & Production Management, 23(7), 794–818. doi: 10.1108/01443570310481568MacCarthyB. L.AtthirawongW.2003Factors affecting location decisions in international operations-a Delphi study23779481810.1108/01443570310481568Open DOISearch in Google Scholar
Melachrinoudis, E., & Min, H. (2000). The dynamic relocation and phase-out of a hybrid, two-echelon plant/warehousing facility: A multiple objective approach. European Journal of Operational Research, 123(1), 1–15. doi: 10.1016/S0377-2217(99)00166-6MelachrinoudisE.MinH.2000The dynamic relocation and phase-out of a hybrid, two-echelon plant/warehousing facility: A multiple objective approach123111510.1016/S0377-2217(99)00166-6Open DOISearch in Google Scholar
Monthatipkul, C. (2016). A non-linear program to find an approximate location of a second warehouse: A case study. Kasetsart Journal of Social Sciences, 37(3), 190–201. doi: 10.1016/j.kjss.2016.08.007MonthatipkulC.2016A non-linear program to find an approximate location of a second warehouse: A case study37319020110.1016/j.kjss.2016.08.007Open DOISearch in Google Scholar
Nevima, J., & Kiszová, Z. (2017). Modified human development index and its weighted alternative – the case of Visegrad Four plus Austria and Slovenia. Forum Scientiae Oeconomia, 5(2), 102–111. doi: 10.23762/fso_vol5no2_17_8NevimaJ.KiszováZ.2017Modified human development index and its weighted alternative – the case of Visegrad Four plus Austria and Slovenia5210211110.23762/fso_vol5no2_17_8Open DOISearch in Google Scholar
Nezhad, A. M., Manzour, H., & Salhi, S. (2013). Lagrangian relaxation heuristics for the uncapacitated single-source multi-product facility location problem. International Journal of Production Economics, 145(2), 713–723. doi: 10.1016/j.ijpe.2013.06.001NezhadA. M.ManzourH.SalhiS.2013Lagrangian relaxation heuristics for the uncapacitated single-source multi-product facility location problem145271372310.1016/j.ijpe.2013.06.001Open DOISearch in Google Scholar
Ocampo, L., & Clark, E. (2015). A sustainable manufacturing strategy decision framework in the context of multi-criteria decision-making. Jordan Journal of Mechanical & Industrial Engineering, 9(3), 177–186.OcampoL.ClarkE.2015A sustainable manufacturing strategy decision framework in the context of multi-criteria decision-making93177186Search in Google Scholar
Ocampo, L. A. (2019). Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production. Environment, Development and Sustainability, 21(5), 2225–2251. doi: 10.1007/s10668-018-0129-8OcampoL. A.2019Applying fuzzy AHP–TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production2152225225110.1007/s10668-018-0129-8Open DOISearch in Google Scholar
Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. doi: 10.1016/j.eswa.2011.02.022ÖzcanT.ÇelebiN.EsnafŞ.2011Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem3889773977910.1016/j.eswa.2011.02.022Open DOISearch in Google Scholar
Ozsen, L., Coullard, C. R., & Daskin, M. S. (2008). Capacitated warehouse location model with risk pooling. Naval Research Logistics, 55(4), 295–312. doi: 10.1002/nav.20282OzsenL.CoullardC. R.DaskinM. S.2008Capacitated warehouse location model with risk pooling55429531210.1002/nav.20282Open DOISearch in Google Scholar
Rahmani, A., & MirHassani, S. A. (2014). A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem. Information Sciences, 283, 70–78. doi: 10.1016/j.ins.2014.06.002RahmaniA.MirHassaniS. A.2014A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem283707810.1016/j.ins.2014.06.002Open DOISearch in Google Scholar
Rakas, J., Teodorović, D., & Kim, T. (2004). Multi-objective modeling for determining location of undesirable facilities. Transportation Research Part D: Transport and Environment, 9(2), 125–138. doi: 10.1016/j.trd.2003.09.002RakasJ.TeodorovićD.KimT.2004Multi-objective modeling for determining location of undesirable facilities9212513810.1016/j.trd.2003.09.002Open DOISearch in Google Scholar
Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29–44. doi: 10.1016/j.trd.2015.02.008RaoC.GohM.ZhaoY.ZhengJ.2015Location selection of city logistics centers under sustainability36294410.1016/j.trd.2015.02.008Open DOISearch in Google Scholar
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25–39. doi: 10.1016/j.cor.2011.07.016RathS.GutjahrW. J.2014A math-heuristic for the warehouse location–routing problem in disaster relief42253910.1016/j.cor.2011.07.016Open DOISearch in Google Scholar
Raut, R. D., Narkhede, B. E., Gardas, B. B., & Raut, V. (2017). Multi-criteria decision making approach: a sustainable warehouse location selection problem. International Journal of Management Concepts and Philosophy, 10(3), 260–281. doi: 10.1504/IJMCP.2017.085834RautR. D.NarkhedeB. E.GardasB. B.RautV.2017Multi-criteria decision making approach: a sustainable warehouse location selection problem10326028110.1504/IJMCP.2017.085834Open DOISearch in Google Scholar
Resende, M. G., & Werneck, R. F. (2006). A hybrid multi-start heuristic for the uncapacitated facility location problem. European Journal of Operational Research, 174(1), 54–68. doi: 10.1016/j.ejor.2005.02.046ResendeM. G.WerneckR. F.2006A hybrid multi-start heuristic for the uncapacitated facility location problem1741546810.1016/j.ejor.2005.02.046Open DOISearch in Google Scholar
Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103–120. doi: 10.1016/j.ajsl.2013.05.006RohS. Y.JangH. M.HanC. H.2013Warehouse location decision factors in humanitarian relief logistics29110312010.1016/j.ajsl.2013.05.006Open DOISearch in Google Scholar
Roh, S. Y., Shin, Y. R., & Seo, Y. J. (2018). The pre-positioned warehouse location selection for international humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 34(4), 297–307. doi: 10.1016/j.ajsl.2018.12.003RohS. Y.ShinY. R.SeoY. J.2018The pre-positioned warehouse location selection for international humanitarian relief logistics34429730710.1016/j.ajsl.2018.12.003Open DOISearch in Google Scholar
Roh, S., Pettit, S., Harris, I., & Beresford, A. (2015). The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation. International Journal of Production Economics, 170, 616–628. doi: 10.1016/j.ijpe.2015.01.015RohS.PettitS.HarrisI.BeresfordA.2015The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation17061662810.1016/j.ijpe.2015.01.015Open DOISearch in Google Scholar
Rosenwein, M. B. (1996). A comparison of heuristics for the problem of batching orders for warehouse selection. International Journal of Production Research, 34(3), 657–664. doi: 10.1080/00207549608904926RosenweinM. B.1996A comparison of heuristics for the problem of batching orders for warehouse selection34365766410.1080/00207549608904926Open DOISearch in Google Scholar
Roszkowska, E. (2011). Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data. Multiple Criteria Decision Making. University of Economics in Katowice, ’10–11, 200–230.RoszkowskaE.2011Multi-criteria decision making models by applying the TOPSIS method to crisp and interval dataUniversity of Economics in Katowice1011200230Search in Google Scholar
Roy, B. (1990). The outranking approach and the foundations of ELECTRE methods. In Bana e Costa C.A. (eds). Readings in multiple criteria decision aid (pp. 155–183). Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-75935-2_8RoyB.1990The outranking approach and the foundations of ELECTRE methodsInBana e Costa C.A.(eds).155183SpringerBerlin, Heidelberg10.1007/978-3-642-75935-2_8Open DOISearch in Google Scholar
Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory and Decision, 31(1), 49–73. doi: 10.1007/BF00134132RoyB.1991The outranking approach and the foundations of ELECTRE methods311497310.1007/BF00134132Open DOISearch in Google Scholar
Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill, New York.SaatyT. L.1980McGraw-HillNew York10.21236/ADA214804Search in Google Scholar
Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7–8), 801–813. doi: 10.1016/j.mcm.2006.03.023ShihH. S.ShyurH. J.LeeE. S.2007An extension of TOPSIS for group decision making457–880181310.1016/j.mcm.2006.03.023Open DOISearch in Google Scholar
Shukla, A., Agarwal, P., Rana, R. S., & Purohit, R. (2017). Applications of TOPSIS algorithm on various manufacturing processes: a review. Materials Today: Proceedings, 4(4), 5320–5329. doi: 10.1016/j.matpr.2017.05.042ShuklaA.AgarwalP.RanaR. S.PurohitR.2017Applications of TOPSIS algorithm on various manufacturing processes: a review445320532910.1016/j.matpr.2017.05.042Open DOISearch in Google Scholar
Singh, R. K., Chaudhary, N., & Saxena, N. (2018). Selection of warehouse location for a global supply chain: A case study. IIMB Management Review, 30(4), 343–356. doi: 10.1016/j.iimb.2018.08.009SinghR. K.ChaudharyN.SaxenaN.2018Selection of warehouse location for a global supply chain: A case study30434335610.1016/j.iimb.2018.08.009Open DOISearch in Google Scholar
Stankevičienė, J., & Nikanorova, M. (2020). Eco-innovation as a pillar for sustainable development of circular economy. Business: Theory and Practice, 21(2), 531–544. doi: 10.3846/btp.2020.12963StankevičienėJ.NikanorovaM.2020Eco-innovation as a pillar for sustainable development of circular economy21253154410.3846/btp.2020.12963Open DOISearch in Google Scholar
Temur, G. T. (2016). A novel multi attribute decision making approach for location decision under high uncertainty. Applied Soft Computing, 40, 674–682. doi: 10.1016/j.asoc.2015.12.027TemurG. T.2016A novel multi attribute decision making approach for location decision under high uncertainty4067468210.1016/j.asoc.2015.12.027Open DOISearch in Google Scholar
Tyagi, R., & Das, C. (1995). Manufacturer and warehouse selection for stable relationships in dynamic whole-saling and location problems. International Journal of Physical Distribution & Logistics Management, 25(6), 54–72. doi: 10.1108/09600039510093276TyagiR.DasC.1995Manufacturer and warehouse selection for stable relationships in dynamic whole-saling and location problems256547210.1108/09600039510093276Open DOISearch in Google Scholar
Vanichchinchai, A., & Apirakkhit, S. (2018). An identification of warehouse location in Thailand. Asia Pacific Journal of Marketing and Logistics, 30(3), 749–758. doi: 10.1108/APJML-10-2017-0229VanichchinchaiA.ApirakkhitS.2018An identification of warehouse location in Thailand30374975810.1108/APJML-10-2017-0229Open DOISearch in Google Scholar
Vavrek, R., Adamisin, P., & Kotulic, R. (2017). Multi-criteria evaluation of municipalities in Slovakia - case study in selected districts. Polish Journal of Management Studies, 16(2), 290–301. doi: 10.17512/pjms.2017.16.2.25VavrekR.AdamisinP.KotulicR.2017Multi-criteria evaluation of municipalities in Slovakia - case study in selected districts16229030110.17512/pjms.2017.16.2.25Open DOISearch in Google Scholar
Vlachopoulou, M., Silleos, G., & Manthou, V. (2001). Geographic information systems in warehouse site selection decisions. International Journal of Production Economics, 71(1–3), 205–212. doi: 10.1016/S0925-5273(00)00119-5VlachopoulouM.SilleosG.ManthouV.2001Geographic information systems in warehouse site selection decisions711–320521210.1016/S0925-5273(00)00119-5Open DOISearch in Google Scholar
Wagner, M. R., Bhadury, J., & Peng, S. (2009). Risk management in uncapacitated facility location models with random demands. Computers & Operations Research, 36(4), 1002–1011. doi: 10.1016/j.cor.2007.12.008WagnerM. R.BhaduryJ.PengS.2009Risk management in uncapacitated facility location models with random demands3641002101110.1016/j.cor.2007.12.008Open DOISearch in Google Scholar
Weber, A. (1909). Ueber den Standort der Industrieni. TuKbingen: J.C.B. Mohr. [English translation: The Theory of the Location of Industries. Chicago: Chicago University Press, 1929].WeberA.1909TuKbingenJ.C.B. Mohr[English translation: The Theory of the Location of Industries. Chicago: Chicago University Press, 1929].Search in Google Scholar
Weber, A. (1929) (translated by Carl J. Friedrich from Weber’s 1909 book). Theory of the location of industries. Chicago: The University of Chicago Press.WeberA.1929(translated by Carl J. Friedrich from Weber’s 1909 book).ChicagoThe University of Chicago PressSearch in Google Scholar
Wutthisirisart, P., Sir, M. Y., & Noble, J. S. (2015). The two-warehouse material location selection problem. International Journal of Production Economics, 170, 780–789. doi: 10.1016/j.ijpe.2015.07.008WutthisirisartP.SirM. Y.NobleJ. S.2015The two-warehouse material location selection problem17078078910.1016/j.ijpe.2015.07.008Open DOISearch in Google Scholar
Xifeng, T., Ji, Z., & Peng, X. (2013). A multi-objective optimization model for sustainable logistics facility location. Transportation Research Part D: Transport and Environment, 22, 45–48. doi: 10.1016/j.trd.2013.03.003XifengT.JiZ.PengX.2013A multi-objective optimization model for sustainable logistics facility location22454810.1016/j.trd.2013.03.003Open DOISearch in Google Scholar
Yadav, S. K., Joseph, D., & Jigeesh, N. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), 23–28. doi: 10.1504/IJSOM.2018.091438YadavS. K.JosephD.JigeeshN.2018A review on industrial applications of TOPSIS approach301232810.1504/IJSOM.2018.091438Open DOISearch in Google Scholar
Yap, J. Y. L., Ho, C. C., & Ting, C. -Y. (2019). A systematic review of the applications of multi-criteria decision-making methods in site selection problems. Built Environment Project and Asset Management, 9(4), 548–563. doi: 10.1108/BEPAM-05-2018-0078YapJ. Y. L.HoC. C.TingC. -Y.2019A systematic review of the applications of multi-criteria decision-making methods in site selection problems9454856310.1108/BEPAM-05-2018-0078Open DOISearch in Google Scholar
You, M., Xiao, Y., Zhang, S., Yang, P., & Zhou, S. (2019). Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization. Computers & Industrial Engineering, 136, 70–79. doi: 10.1016/j.cie.2019.07.020YouM.XiaoY.ZhangS.YangP.ZhouS.2019Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization136707910.1016/j.cie.2019.07.020Open DOISearch in Google Scholar