Subject Areas : International Journal of Industrial Mathematics
1 -
Keywords:
Abstract :
References:
[1] Mousavi Janbehsarayi, S. F., Niksokhan, M. H., Hassani, M. R., & Ardestani, M. (2023). Multi-objective decision-making based on theories of cooperative game and social choice to incentivize implementation of low-impact development practices. Journal of Environmental Management, 330, 117243. https://doi.org/10.1016/j.jenvman.2023.117243
[2] Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889-899. https://doi.org/10.1016/0305-0548(93)90109-V
[3] Soltanifar, M. (2021). An investigation of the most common multi-objective optimization methods with propositions for improvement. Decision Analytics Journal, 1, 100005. https://doi.org/10.1016/j.dajour.2021.100005
[4] Moallemi, E. A., Elsawah, S., Turan, H. H., & Ryan, M. J. (2018). Multi-objective decision making in multi-period acquisition planning under deep uncertainty. Winter Simulation Conference (WSC), 2018, 1334-1345. https://doi.org/10.1109/WSC.2018.8632316
[5] Groenia, S., van den Berg, M., Volker, L., Valcke, S., & Barros, E. (2024). Multi-objective decision-making for sustainable construction: Designing an interactive method for multi-actor project settings. Paper presented at 40th Annual ARCOM Conference 2024: Looking back to move forward, London, United Kingdom.
[6] Yalılı, M., Menlik, T., & Boran, F. E. (2024). A novel multi-objective decision-making model to determine optimum resource and capacity configuration for hybrid electricity generation systems: A comparative case study in Türkiye. Applied Energy, 376, 124338. https://doi.org/10.1016/j.apenergy.2024.124338
[7] Zhou, X., Tan, W., Sun, Y., Huang, T., & Yang, C. (2024). Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS. Expert Systems with Applications, 240, 122539. https://doi.org/10.1016/j.eswa.2023.122539
[8] Soltanifar, M. (2021). The voting linear assignment method for determining priority and weights in solving MADM problems. Journal of Applied Research on Industrial Engineering, 8(Special Issue), 1-17. https://doi.org/10.22105/jarie.2021.268606.1240
[9] Tavana, M., Soltanifar, M., & Santos-Arteaga, F. J. (2023). Analytical hierarchy process: Revolution and evolution. Annals of Operations Research, 326, 879–907. https://doi.org/10.1007/s10479-021-04432-2
[10] Soltanifar, M., & Tavana, M. (2024). A novel pairwise comparison method with linear programming for multi-attribute decision-making. EURO Journal on Decision Processes, 12, 100051. https://doi.org/10.1016/j.ejdp.2024.100051
[11] Soltanifar, M. (2024). A new interval for ranking alternatives in multi attribute decision making problems. Journal of Applied Research on Industrial Engineering, 11(1), 37-56. https://doi.org/10.22105/jarie.2022.339957.1467
[12] Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., & Sharafi, H. (2023). A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals. Environmental Science & Policy, 147, 89-102. https://doi.org/10.1016/j.envsci.2023.06.004
[13] Soltanifar, M., Zargar, S. M., & Aman, M. (2023). Improved WASPAS method for determining criteria priority and weights in solving MADM problems: A case study to determine leadership style in Covid-19 pandemic. Journal of Decisions and Operations Research, 8(3), 749-770. https://doi.org/10.22105/dmor.2023.345520.1616
[14] Soltanifar, M., & Zargar, S. M. (2021). Assessing and ranking cloud computing security risks based on a hybrid approach based on pairwise comparisons. Iranian Journal of Information Processing and Management, 37(1), 27-58. https://doi.org/10.52547/jipm.37.1.27
[15] El-Araby, A. (2023). The utilization of MARCOS method for different engineering applications: A comparative study. International Journal of Research in Industrial Engineering, 12(2), 155-164. https://doi.org/10.22105/riej.2023.395104.1379
[16] Kabgani, M. H. (2023). Measuring effective indicators for waste disposal in order to assess the sustainable environment: Application of fuzzy approach. International Journal of Research in Industrial Engineering, 12(3), 287-305. https://doi.org/10.22105/riej.2023.368774.1345
[17] Sheel, C. C., Rahman, S. M. A., & Bhowmick, T. (2024). A decision-making method for supplier selection in industrial manufacturing industry: A mathematical framework of integrating analytical hierarchical process and reliability risk evaluation in the field of industrial engineering sectors. International Journal of Research in Industrial Engineering. https://doi.org/10.22105/riej.2024.474342.1469
[18] Niyazi, M., & Tavakkoli-Moghaddam, R. (2014). Solving a facility location problem by three multi-criteria decision making methods. International Journal of Research in Industrial Engineering, 3(4), 41-56. https://www.riejournal.com/article_48006.html
[19] Nikjo, B., Rezaeian, J., & Javadian, N. (2015). Decision making in best player selection: An integrated approach with AHP and extended TOPSIS methods based on WeFA framework in MAGDM problems. International Journal of Research in Industrial Engineering, 4(1(4)), 1-14. https://doi.org/10.22105/riej.2017.49166
[20] Soltanifar, M. (2023). Improved Kemeny median indicator ranks accordance method. Asia-Pacific Journal of Operational Research, 40(03), 2250024. https://doi.org/10.1142/S0217595922500245
[21] Soltanifar, M., Krylovas, A., & Kosareva, N. (2023). Voting-KEMIRA median indicator ranks accordance method for determining criteria priority and weights in solving multi-attribute decision-making problems. Soft Computing, 27, 6613–6628. https://doi.org/10.1007/s00500-022-07807-0
[22] Soltanifar, M., & Santos-Arteaga, F. J. (2024). Hybrid DEA-BWM-KEMIRA approach for multiple attribute decision-making: A weighted analysis perspective. Soft Computing. https://doi.org/10.1007/s00500-024-09933-3
[23] Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., & Charles, V. (2024). A new fuzzy KEMIRA method with an application to innovation park location analysis and selection. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2024.3471876
[24] Sabaei, D., Erkoyuncu, J., & Roy, R. (2015). A review of multi-criteria decision making methods for enhanced maintenance delivery. Procedia CIRP, 37, 30-35. https://doi.org/10.1016/j.procir.2015.08.086
[25] Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multi criteria decision-making. Technological and Economic Development of Economy, 16(2), 159-172. https://doi.org/10.3846/tede.2010.10
[26] Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141. https://doi.org/10.1016/S1644-9665(12)60141-1
[27] Karabasevic, D., Zavadskas, E. K., Turskis, Z., & Stanujkic, D. (2016). The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica, 27(1), 49-65. https://doi.org/10.15388/Informatica.2016.76
[28] Ozbek, A., & Erol, E. (2017). Ranking of factoring companies in accordance with ARAS and COPRAS methods. International Journal of Academic Research in Accounting, Finance and Management Sciences, 7(2), 105-116. https://doi.org/10.6007/IJARAFMS/v7-i2/2876
[29] Prasad, R. (2019). Selection of internal safety auditors in an Indian construction organization based on the SWARA and ARAS methods. Journal of Occupational Health and Epidemiology, 8(3), 134-140. https://doi.org/10.29252/johe.8.3.134
[30] Lee, J., Ozaki, I., Kishino, S., & Suzuki, K. (2021). Evaluation method of ARAS combining simulator experiment and computer simulation in terms of cost-benefit analysis. International Journal of Intelligent Transportation Systems Research, 19, 44-55. https://doi.org/10.1007/s13177-019-00215-z
[31] Goswami, S.S., & Mitra, S. (2020). Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology. International Journal of Data and Network Science, 4, 27–42. https://doi.org/10.5267/j.ijdns.2019.8.004
[32] Karabašević, D.M., Maksimović, M.V., Stanujkić, D.M., Jocić, G.B., & Rajčević, D.P. (2018). Selection of software testing method by using ARAS method. Tehnika, 73(5), 724-729. https://doi.org/10.5937/tehnika1805724K
[33] Idaman, A., Amrullah, & Rolanda, V. (2024). Analysis of the Additive Ratio Assessment Method in the selection of the best production head. Jurnal Informasi Dan Teknologi, 6(2), 172-181. https://doi.org/10.60083/jidt.v6i2.546
[34] Fan, J., Han, D., & Wu, M. (2023). Picture fuzzy ARAS and VIKOR methods for multi-attribute decision problem and their application. Complex & Intelligent Systems, 9, 5345–5357. https://doi.org/10.1007/s40747-023-01007-5
[35] Heidary Dahooie, J., Zavadskas, E.K., Abolhasani, M., Vanaki, A., & Turskis, Z. (2018). A novel approach for evaluation of projects using an interval-valued fuzzy ARAS method: A case study of oil and gas well drilling projects. Symmetry, 10(2), 45, 1-32. https://doi.org/10.3390/sym10020045
[36] Soltanifar, M., Zargar, S.M., & Homayounfar, M. (2022). Green supplier selection: A hybrid group voting AHP approach. Journal of Operational Research and Its Applications, 19(2), 113-132. https://doi.org/10.52547/jamlu.19.2.113
[37] Sharafi, H., Soltanifar, M., & Hosseinzadeh Lotfi, F. (2022). Selecting a green supplier utilizing the new fuzzy voting model and the fuzzy combinative distance-based assessment method. EURO Journal on Decision Processes, 10, 100010. https://doi.org/10.1016/j.ejdp.2021.100010
[38] Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer. https://doi.org/10.1007/978-3-642-48318-9
[39] Ghram, M., & Frikha, H.M. (2018). A new procedure of criteria weight determination within the ARAS method. Multiple Criteria Decision Making, 13, 56-73. https://doi.org/10.22367/mcdm.2018.13.03
[40] Cook, W.D., & Kress, M. (1990). A data envelopment model for aggregating preference rankings. Management Science, 36(11), 1302–1310. https://doi.org/10.1287/mnsc.36.11.1302
[41] Noguchi, H., Ogawa, M., & Ishii, H. (2002). The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics, 146(1), 155–166. https://doi.org/10.1016/S0377-0427(02)00425-9
[42] Llamazares, B., & Pena, T. (2009). Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates. European Journal of Operational Research, 197, 714–721. https://doi.org/10.1016/j.ejor.2008.06.031
[43] Mastos, T., & Gotzamani, K. (2022). Sustainable supply chain management in the food industry: A conceptual model from a literature review and a case study. Foods, 11(15), 2295. https://doi.org/10.3390/foods11152295
[44] Zhu, Q., Geng, Y., & Sarkis, J. (2020). Sustainable waste management in supply chains: Practices and implications. International Journal of Production Economics, 228, 107652. https://doi.org/10.1016/j.ijpe.2020.107652
[45] Khalili-Damghani, K., Arab, A., & Jolai, F. (2021). Multi-objective decision making for sustainable water management in the food industry. Sustainable Production and Consumption, 27, 10-27. https://doi.org/10.1016/j.spc.2021.07.006
[46] Gandhi, R., Govindan, K., & Jha, P. C. (2022). Sustainable procurement and supply chain practices in the food industry: A review. Journal of Environmental Management, 306, 114415. https://doi.org/10.1016/j.jenvman.2022.114415
[47] Lau, K. H., Tang, C. S., & Wang, Y. (2022). Eco-friendly packaging innovations in the food industry. Journal of Industrial Ecology, 26(1), 88-105. https://doi.org/10.1111/jiec.13092
[48] Kannan, G., & Govindan, K. (2020). A life cycle approach to food supply chain sustainability: A review. Food Control, 49, 110-119. https://doi.org/10.1016/j.foodcont.2020.03.012
[49] Abdulrahman, M., Gunasekaran, A., & Subramanian, N. (2021). Logistics and transportation in sustainable supply chains: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 140, 102007. https://doi.org/10.1016/j.tre.2020.102007
[50] Gopal, P., & Thakkar, J. (2022). Collaboration in supply chains: A review of enablers and barriers. International Journal of Production Research, 58(8), 2435-2456. https://doi.org/10.1080/00207543.2021.1874482
[51] Chkanikova, O., & Mont, O. (2020). Corporate social responsibility in the food sector: A focus on sustainability. Journal of Cleaner Production, 123, 260-270. https://doi.org/10.1016/j.jclepro.2020.07.031
[52] Aung, M. M., & Chang, Y. S. (2020). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172-184. https://doi.org/10.1016/j.foodcont.2020.109256
[1] Mousavi Janbehsarayi, S. F., Niksokhan, M. H., Hassani, M. R., & Ardestani, M. (2023). Multi-objective decision-making based on theories of cooperative game and social choice to incentivize implementation of low-impact development practices. Journal of Environmental Management, 330, 117243. https://doi.org/10.1016/j.jenvman.2023.117243
[2] Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889-899. https://doi.org/10.1016/0305-0548(93)90109-V
[3] Soltanifar, M. (2021). An investigation of the most common multi-objective optimization methods with propositions for improvement. Decision Analytics Journal, 1, 100005. https://doi.org/10.1016/j.dajour.2021.100005
[4] Moallemi, E. A., Elsawah, S., Turan, H. H., & Ryan, M. J. (2018). Multi-objective decision making in multi-period acquisition planning under deep uncertainty. Winter Simulation Conference (WSC), 2018, 1334-1345. https://doi.org/10.1109/WSC.2018.8632316
[5] Groenia, S., van den Berg, M., Volker, L., Valcke, S., & Barros, E. (2024). Multi-objective decision-making for sustainable construction: Designing an interactive method for multi-actor project settings. Paper presented at 40th Annual ARCOM Conference 2024: Looking back to move forward, London, United Kingdom.
[6] Yalılı, M., Menlik, T., & Boran, F. E. (2024). A novel multi-objective decision-making model to determine optimum resource and capacity configuration for hybrid electricity generation systems: A comparative case study in Türkiye. Applied Energy, 376, 124338. https://doi.org/10.1016/j.apenergy.2024.124338
[7] Zhou, X., Tan, W., Sun, Y., Huang, T., & Yang, C. (2024). Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS. Expert Systems with Applications, 240, 122539. https://doi.org/10.1016/j.eswa.2023.122539
[8] Soltanifar, M. (2021). The voting linear assignment method for determining priority and weights in solving MADM problems. Journal of Applied Research on Industrial Engineering, 8(Special Issue), 1-17. https://doi.org/10.22105/jarie.2021.268606.1240
[9] Tavana, M., Soltanifar, M., & Santos-Arteaga, F. J. (2023). Analytical hierarchy process: Revolution and evolution. Annals of Operations Research, 326, 879–907. https://doi.org/10.1007/s10479-021-04432-2
[10] Soltanifar, M., & Tavana, M. (2024). A novel pairwise comparison method with linear programming for multi-attribute decision-making. EURO Journal on Decision Processes, 12, 100051. https://doi.org/10.1016/j.ejdp.2024.100051
[11] Soltanifar, M. (2024). A new interval for ranking alternatives in multi attribute decision making problems. Journal of Applied Research on Industrial Engineering, 11(1), 37-56. https://doi.org/10.22105/jarie.2022.339957.1467
[12] Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., & Sharafi, H. (2023). A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals. Environmental Science & Policy, 147, 89-102. https://doi.org/10.1016/j.envsci.2023.06.004
[13] Soltanifar, M., Zargar, S. M., & Aman, M. (2023). Improved WASPAS method for determining criteria priority and weights in solving MADM problems: A case study to determine leadership style in Covid-19 pandemic. Journal of Decisions and Operations Research, 8(3), 749-770. https://doi.org/10.22105/dmor.2023.345520.1616
[14] Soltanifar, M., & Zargar, S. M. (2021). Assessing and ranking cloud computing security risks based on a hybrid approach based on pairwise comparisons. Iranian Journal of Information Processing and Management, 37(1), 27-58. https://doi.org/10.52547/jipm.37.1.27
[15] El-Araby, A. (2023). The utilization of MARCOS method for different engineering applications: A comparative study. International Journal of Research in Industrial Engineering, 12(2), 155-164. https://doi.org/10.22105/riej.2023.395104.1379
[16] Kabgani, M. H. (2023). Measuring effective indicators for waste disposal in order to assess the sustainable environment: Application of fuzzy approach. International Journal of Research in Industrial Engineering, 12(3), 287-305. https://doi.org/10.22105/riej.2023.368774.1345
[17] Sheel, C. C., Rahman, S. M. A., & Bhowmick, T. (2024). A decision-making method for supplier selection in industrial manufacturing industry: A mathematical framework of integrating analytical hierarchical process and reliability risk evaluation in the field of industrial engineering sectors. International Journal of Research in Industrial Engineering. https://doi.org/10.22105/riej.2024.474342.1469
[18] Niyazi, M., & Tavakkoli-Moghaddam, R. (2014). Solving a facility location problem by three multi-criteria decision making methods. International Journal of Research in Industrial Engineering, 3(4), 41-56. https://www.riejournal.com/article_48006.html
[19] Nikjo, B., Rezaeian, J., & Javadian, N. (2015). Decision making in best player selection: An integrated approach with AHP and extended TOPSIS methods based on WeFA framework in MAGDM problems. International Journal of Research in Industrial Engineering, 4(1(4)), 1-14. https://doi.org/10.22105/riej.2017.49166
[20] Soltanifar, M. (2023). Improved Kemeny median indicator ranks accordance method. Asia-Pacific Journal of Operational Research, 40(03), 2250024. https://doi.org/10.1142/S0217595922500245
[21] Soltanifar, M., Krylovas, A., & Kosareva, N. (2023). Voting-KEMIRA median indicator ranks accordance method for determining criteria priority and weights in solving multi-attribute decision-making problems. Soft Computing, 27, 6613–6628. https://doi.org/10.1007/s00500-022-07807-0
[22] Soltanifar, M., & Santos-Arteaga, F. J. (2024). Hybrid DEA-BWM-KEMIRA approach for multiple attribute decision-making: A weighted analysis perspective. Soft Computing. https://doi.org/10.1007/s00500-024-09933-3
[23] Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., & Charles, V. (2024). A new fuzzy KEMIRA method with an application to innovation park location analysis and selection. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2024.3471876
[24] Sabaei, D., Erkoyuncu, J., & Roy, R. (2015). A review of multi-criteria decision making methods for enhanced maintenance delivery. Procedia CIRP, 37, 30-35. https://doi.org/10.1016/j.procir.2015.08.086
[25] Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multi criteria decision-making. Technological and Economic Development of Economy, 16(2), 159-172. https://doi.org/10.3846/tede.2010.10
[26] Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141. https://doi.org/10.1016/S1644-9665(12)60141-1
[27] Karabasevic, D., Zavadskas, E. K., Turskis, Z., & Stanujkic, D. (2016). The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica, 27(1), 49-65. https://doi.org/10.15388/Informatica.2016.76
[28] Ozbek, A., & Erol, E. (2017). Ranking of factoring companies in accordance with ARAS and COPRAS methods. International Journal of Academic Research in Accounting, Finance and Management Sciences, 7(2), 105-116. https://doi.org/10.6007/IJARAFMS/v7-i2/2876
[29] Prasad, R. (2019). Selection of internal safety auditors in an Indian construction organization based on the SWARA and ARAS methods. Journal of Occupational Health and Epidemiology, 8(3), 134-140. https://doi.org/10.29252/johe.8.3.134
[30] Lee, J., Ozaki, I., Kishino, S., & Suzuki, K. (2021). Evaluation method of ARAS combining simulator experiment and computer simulation in terms of cost-benefit analysis. International Journal of Intelligent Transportation Systems Research, 19, 44-55. https://doi.org/10.1007/s13177-019-00215-z
[31] Goswami, S.S., & Mitra, S. (2020). Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology. International Journal of Data and Network Science, 4, 27–42. https://doi.org/10.5267/j.ijdns.2019.8.004
[32] Karabašević, D.M., Maksimović, M.V., Stanujkić, D.M., Jocić, G.B., & Rajčević, D.P. (2018). Selection of software testing method by using ARAS method. Tehnika, 73(5), 724-729. https://doi.org/10.5937/tehnika1805724K
[33] Idaman, A., Amrullah, & Rolanda, V. (2024). Analysis of the Additive Ratio Assessment Method in the selection of the best production head. Jurnal Informasi Dan Teknologi, 6(2), 172-181. https://doi.org/10.60083/jidt.v6i2.546
[34] Fan, J., Han, D., & Wu, M. (2023). Picture fuzzy ARAS and VIKOR methods for multi-attribute decision problem and their application. Complex & Intelligent Systems, 9, 5345–5357. https://doi.org/10.1007/s40747-023-01007-5
[35] Heidary Dahooie, J., Zavadskas, E.K., Abolhasani, M., Vanaki, A., & Turskis, Z. (2018). A novel approach for evaluation of projects using an interval-valued fuzzy ARAS method: A case study of oil and gas well drilling projects. Symmetry, 10(2), 45, 1-32. https://doi.org/10.3390/sym10020045
[36] Soltanifar, M., Zargar, S.M., & Homayounfar, M. (2022). Green supplier selection: A hybrid group voting AHP approach. Journal of Operational Research and Its Applications, 19(2), 113-132. https://doi.org/10.52547/jamlu.19.2.113
[37] Sharafi, H., Soltanifar, M., & Hosseinzadeh Lotfi, F. (2022). Selecting a green supplier utilizing the new fuzzy voting model and the fuzzy combinative distance-based assessment method. EURO Journal on Decision Processes, 10, 100010. https://doi.org/10.1016/j.ejdp.2021.100010
[38] Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Berlin: Springer. https://doi.org/10.1007/978-3-642-48318-9
[39] Ghram, M., & Frikha, H.M. (2018). A new procedure of criteria weight determination within the ARAS method. Multiple Criteria Decision Making, 13, 56-73. https://doi.org/10.22367/mcdm.2018.13.03
[40] Cook, W.D., & Kress, M. (1990). A data envelopment model for aggregating preference rankings. Management Science, 36(11), 1302–1310. https://doi.org/10.1287/mnsc.36.11.1302
[41] Noguchi, H., Ogawa, M., & Ishii, H. (2002). The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics, 146(1), 155–166. https://doi.org/10.1016/S0377-0427(02)00425-9
[42] Llamazares, B., & Pena, T. (2009). Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates. European Journal of Operational Research, 197, 714–721. https://doi.org/10.1016/j.ejor.2008.06.031
[43] Mastos, T., & Gotzamani, K. (2022). Sustainable supply chain management in the food industry: A conceptual model from a literature review and a case study. Foods, 11(15), 2295. https://doi.org/10.3390/foods11152295
[44] Zhu, Q., Geng, Y., & Sarkis, J. (2020). Sustainable waste management in supply chains: Practices and implications. International Journal of Production Economics, 228, 107652. https://doi.org/10.1016/j.ijpe.2020.107652
[45] Khalili-Damghani, K., Arab, A., & Jolai, F. (2021). Multi-objective decision making for sustainable water management in the food industry. Sustainable Production and Consumption, 27, 10-27. https://doi.org/10.1016/j.spc.2021.07.006
[46] Gandhi, R., Govindan, K., & Jha, P. C. (2022). Sustainable procurement and supply chain practices in the food industry: A review. Journal of Environmental Management, 306, 114415. https://doi.org/10.1016/j.jenvman.2022.114415
[47] Lau, K. H., Tang, C. S., & Wang, Y. (2022). Eco-friendly packaging innovations in the food industry. Journal of Industrial Ecology, 26(1), 88-105. https://doi.org/10.1111/jiec.13092
[48] Kannan, G., & Govindan, K. (2020). A life cycle approach to food supply chain sustainability: A review. Food Control, 49, 110-119. https://doi.org/10.1016/j.foodcont.2020.03.012
[49] Abdulrahman, M., Gunasekaran, A., & Subramanian, N. (2021). Logistics and transportation in sustainable supply chains: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 140, 102007. https://doi.org/10.1016/j.tre.2020.102007
[50] Gopal, P., & Thakkar, J. (2022). Collaboration in supply chains: A review of enablers and barriers. International Journal of Production Research, 58(8), 2435-2456. https://doi.org/10.1080/00207543.2021.1874482
[51] Chkanikova, O., & Mont, O. (2020). Corporate social responsibility in the food sector: A focus on sustainability. Journal of Cleaner Production, 123, 260-270. https://doi.org/10.1016/j.jclepro.2020.07.031
[52] Aung, M. M., & Chang, Y. S. (2020). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172-184. https://doi.org/10.1016/j.foodcont.2020.109256
