{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T04:42:03Z","timestamp":1777092123158,"version":"3.51.4"},"reference-count":74,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cent Eur J Oper Res"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s10100-024-00942-z","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T07:02:13Z","timestamp":1728370933000},"page":"63-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Optimization modelling for a sustainable closed-loop supply chain network using IoT: multiobjective metaheuristic algorithms"],"prefix":"10.1007","volume":"34","author":[{"given":"Zeinab","family":"Madani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fariba","family":"Goodarzian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Navaei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1790-5450","authenticated-orcid":false,"given":"Irfan","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"942_CR1","doi-asserted-by":"publisher","first-page":"102291","DOI":"10.1016\/j.rineng.2024.102291","volume":"22","author":"S Abbasi","year":"2024","unstructured":"Abbasi S, Abbaspour S, Siahkoohi MEN, Sorkhi MY, Ghasemi P (2024) Supply chain network design concerning economy and environmental sustainability: crisis perspective. Result Eng 22:102291","journal-title":"Result Eng"},{"issue":"9","key":"942_CR2","doi-asserted-by":"publisher","first-page":"10768","DOI":"10.1007\/s10668-021-01883-2","volume":"24","author":"O Abdolazimi","year":"2022","unstructured":"Abdolazimi O, Bahrami F, Shishebori D, Ardakani MA (2022) A multiobjective closed-loop supply chain network design problem under parameter uncertainty: comparison of exact methods. Environ Dev Sustain 24(9):10768\u201310802. https:\/\/doi.org\/10.1007\/s10668-021-01883-2","journal-title":"Environ Dev Sustain"},{"key":"942_CR3","doi-asserted-by":"publisher","first-page":"100055","DOI":"10.1016\/j.clscn.2022.100055","volume":"4","author":"W Ahmad Jauhari","year":"2022","unstructured":"Ahmad Jauhari W (2022) Sustainable inventory management for a closed-loop supply chain with energy usage, imperfect production, and green investment. Clean Logist Supply Chain 4:100055. https:\/\/doi.org\/10.1016\/j.clscn.2022.100055","journal-title":"Clean Logist Supply Chain"},{"key":"942_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118741","author":"A Aliahmadi","year":"2023","unstructured":"Aliahmadi A, Ghahremani-Nahr J, Nozari H (2023) Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2022.118741","journal-title":"Expert Syst Appl"},{"key":"942_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-021-00785y","author":"R Aringhieri","year":"2021","unstructured":"Aringhieri R, Bigharaz S, Duma D, Guastalla A (2021) Fairness in ambulance routing for post disaster management. CEJOR. https:\/\/doi.org\/10.1007\/s10100-021-00785y","journal-title":"CEJOR"},{"key":"942_CR7","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.matcom.2022.08.008","volume":"204","author":"A Barman","year":"2023","unstructured":"Barman A, De PK, Chakraborty AK, Lim CP, Das R (2023) Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing. Math Comput Simul 204:401\u2013429. https:\/\/doi.org\/10.1016\/j.matcom.2022.08.008","journal-title":"Math Comput Simul"},{"key":"942_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2021.129544","author":"P Becerra","year":"2021","unstructured":"Becerra P, Mula J, Sanchis R (2021) Green supply chain quantitative models for sustainable inventory management: a review. J Clean Prod. https:\/\/doi.org\/10.1016\/j.jclepro.2021.129544","journal-title":"J Clean Prod"},{"key":"942_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-022-00780-z","author":"A Bozdo\u011fan","year":"2022","unstructured":"Bozdo\u011fan A, G\u00f6rkemli Aykut L, Demirel N (2022) An agent-based modeling framework for the design of a dynamic closed-loop supply chain network. Complex Intell Syst. https:\/\/doi.org\/10.1007\/s40747-022-00780-z","journal-title":"Complex Intell Syst"},{"key":"942_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-023-00856-2","author":"J Cast\u00e9","year":"2023","unstructured":"Cast\u00e9 J, Koch I, Marenco J (2023) Implementing a\u00a0multi-user framework for\u00a0vehicle routing problems: a\u00a0chronicle. Cent Eur J Op Res. https:\/\/doi.org\/10.1007\/s10100-023-00856-2","journal-title":"Cent Eur J Op Res"},{"key":"942_CR12","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1016\/j.jclepro.2017.07.184","volume":"165","author":"RM Dangelico","year":"2017","unstructured":"Dangelico RM, Vocalelli D (2017) \u201cGreen Marketing\u201d: An analysis of definitions, strategy steps, and tools through a systematic review of the literature. J Clean Prod 165:1263\u20131279. https:\/\/doi.org\/10.1016\/j.jclepro.2017.07.184","journal-title":"J Clean Prod"},{"issue":"2","key":"942_CR13","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEM.2012.2211105","volume":"60","author":"A Diabat","year":"2013","unstructured":"Diabat A, Abdallah T, Al-Refaie A, Svetinovic D, Govindan K (2013) Strategic closed-loop facility location problem with carbon market trading. IEEE Trans Eng Manage 60(2):398\u2013408. https:\/\/doi.org\/10.1109\/TEM.2012.2211105","journal-title":"IEEE Trans Eng Manage"},{"issue":"4","key":"942_CR15","doi-asserted-by":"publisher","first-page":"253","DOI":"10.3934\/jdg.2020018","volume":"7","author":"K Erik","year":"2020","unstructured":"Erik K, Weber GW, Tirkolaee EB (2020) Foundations of semialgebraic gene-enviroment networks. J Dyn Games 7(4):253\u2013268. https:\/\/doi.org\/10.3934\/jdg.2020018","journal-title":"J Dyn Games"},{"key":"942_CR16","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.asoc.2018.07.025","volume":"71","author":"AM Fathollahi-Fard","year":"2018","unstructured":"Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Mirjalili S (2018) Multiobjective stochastic closed-loop supply chain network design with social considerations. Appl Soft Comput J 71:505\u2013525. https:\/\/doi.org\/10.1016\/j.asoc.2018.07.025","journal-title":"Appl Soft Comput J"},{"key":"942_CR17","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1016\/j.eswa.2018.09.027","volume":"116","author":"J Ghahremani-Nahr","year":"2019","unstructured":"Ghahremani-Nahr J, Kian R, Sabet E (2019) 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\u2013471. https:\/\/doi.org\/10.1016\/j.eswa.2018.09.027","journal-title":"Expert Syst Appl"},{"issue":"14","key":"942_CR18","doi-asserted-by":"publisher","first-page":"4248","DOI":"10.1080\/00207543.2020.1760391","volume":"59","author":"M Ghomi-Avili","year":"2021","unstructured":"Ghomi-Avili M, Tavakkoli-Moghaddam R, Jalali Naeini SG, Jabbarzadeh A (2021) Competitive green supply chain network design model considering inventory decisions under uncertainty: a real case of a filter company. Int J Prod Res 59(14):4248\u20134267. https:\/\/doi.org\/10.1080\/00207543.2020.1760391","journal-title":"Int J Prod Res"},{"key":"942_CR19","doi-asserted-by":"publisher","first-page":"109211","DOI":"10.1016\/j.cie.2023.109211","volume":"179","author":"A Goli","year":"2023","unstructured":"Goli A (2023) Integration of blockchain-enabled closed-loop supply chain and robust product portfolio design. Comput Ind Eng 179:109211","journal-title":"Comput Ind Eng"},{"key":"942_CR20","doi-asserted-by":"publisher","first-page":"106244","DOI":"10.1016\/j.cor.2023.106244","volume":"155","author":"A Goli","year":"2023","unstructured":"Goli A, Tirkolaee EB (2023) Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: accelerated Benders decomposition algorithm. Comput Oper Res 155:106244","journal-title":"Comput Oper Res"},{"key":"942_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-023-00870-4","author":"A Goli","year":"2023","unstructured":"Goli A, Babaee Tirkolaee E, Golmohammadi A, Zumbul A, Weber G, Ali SS (2023a) A robust optimization model to\u00a0design an\u00a0IoT-based sustainable supply chain network with\u00a0fexibility. Cent Eur J Op Res. https:\/\/doi.org\/10.1007\/s10100-023-00870-4","journal-title":"Cent Eur J Op Res"},{"issue":"1","key":"942_CR22","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10479-022-04829-7","volume":"328","author":"A Goli","year":"2023","unstructured":"Goli A, Ala A, Mirjalili S (2023b) A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty. Ann Op Res 328(1):493\u2013530","journal-title":"Ann Op Res"},{"key":"942_CR23","doi-asserted-by":"publisher","first-page":"119077","DOI":"10.1016\/j.eswa.2022.119077","volume":"213","author":"A Goli","year":"2023","unstructured":"Goli A, Ala A, Hajiaghaei-Keshteli M (2023c) Efficient multiobjective meta-heuristic algorithms for energy aware non-permutation flow-shop scheduling problem. Expert Syst Appl 213:119077","journal-title":"Expert Syst Appl"},{"issue":"3","key":"942_CR24","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.ejor.2014.07.012","volume":"240","author":"K Govindan","year":"2015","unstructured":"Govindan K, Soleimani H, Kannan D (2015) Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. Eur J Oper Res 240(3):603\u2013626. https:\/\/doi.org\/10.1016\/j.ejor.2014.07.012","journal-title":"Eur J Oper Res"},{"key":"942_CR25","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s10100-019-00636-x","volume":"28","author":"M Graczyk-Kucharska","year":"2020","unstructured":"Graczyk-Kucharska M, \u00d6zmen A, Szafra\u0144ski M, Weber GW, Goli\u0144\u015bki M, Spycha\u0142a M (2020a) Knowledge accelerator by transversal competences and multivariate adaptive regression splines. CEJOR 28:645\u2013669","journal-title":"CEJOR"},{"key":"942_CR28","series-title":"EcoProduction","volume-title":"Smart and sustainable supply chain and logistics\u2013trends, challenges, methods and best practices","author":"M Graczyk-Kucharska","year":"2020","unstructured":"Graczyk-Kucharska M, Szafra\u0144ski M, G\u00fctmen S, Goli\u0144ski M, Spycha\u0142a M, Weber GW, W\u0142odarczak Z, Kuter S, \u00d6zmen A (2020b) Modeling for human resources management by data mining analytics and artificial intelligence in the logistics departments. In: Golinska-Dawson P, Tsai KM, Kosacka-Olejnik M (eds) Smart and sustainable supply chain and logistics\u2013trends, challenges, methods and best practices. EcoProduction. Springer, Cham"},{"issue":"6","key":"942_CR26","doi-asserted-by":"publisher","first-page":"4093","DOI":"10.3934\/jimo.2021149","volume":"18","author":"M Graczyk-Kucharska","year":"2022","unstructured":"Graczyk-Kucharska M, Olszewski R, Golinski M, Spychala M, Szafranski M, Weber GW, Miadowicz M (2022) Human resources optimization with MARS and ANN: innovation geolocation model for generation Z. J Ind Manag Opt 18(6):4093\u20134110","journal-title":"J Ind Manag Opt"},{"issue":"1","key":"942_CR27","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10100-022-00805-5","volume":"31","author":"M Graczyk-Kucharska","year":"2023","unstructured":"Graczyk-Kucharska M, Olszewski R, Weber GW (2023) The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region. CEJOR 31(1):205\u2013237","journal-title":"CEJOR"},{"issue":"9","key":"942_CR29","doi-asserted-by":"publisher","first-page":"5343","DOI":"10.1007\/s00521-018-3369-5","volume":"31","author":"M Hajiaghaei-Keshteli","year":"2019","unstructured":"Hajiaghaei-Keshteli M, Fathollahi Fard AM (2019) Sustainable closed-loop supply chain network design with discount supposition. Neural Comput Appl 31(9):5343\u20135377. https:\/\/doi.org\/10.1007\/s00521-018-3369-5","journal-title":"Neural Comput Appl"},{"issue":"1","key":"942_CR30","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.ejor.2018.11.034","volume":"275","author":"Q He","year":"2019","unstructured":"He Q, Wang N, Yang Z, He Z, Jiang B (2019) Competitive collection under channel inconvenience in closed-loop supply chain. Eur J Oper Res 275(1):155\u2013166. https:\/\/doi.org\/10.1016\/j.ejor.2018.11.034","journal-title":"Eur J Oper Res"},{"issue":"5","key":"942_CR31","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.3390\/buildings14051276","volume":"14","author":"M Hemmati","year":"2024","unstructured":"Hemmati M, Messadi T, Gu H, Seddelmeyer J, Hemmati M (2024) Comparison of embodied carbon footprint of a mass timber building structure with a steel equivalent. Buildings 14(5):1276. https:\/\/doi.org\/10.3390\/buildings14051276","journal-title":"Buildings"},{"key":"942_CR34","doi-asserted-by":"crossref","unstructured":"Khoshkenar A, Nassereddine H (2024) Exploring digital twin platforms across industries: a multi-aspect SNA. In\u00a0ISARC. proceedings of the international symposium on automation and robotics in construction,\u00a0Vol 41. IAARC Publications, pp 920\u2013927","DOI":"10.22260\/ISARC2024\/0119"},{"key":"942_CR36","doi-asserted-by":"crossref","unstructured":"Ko\u00e7, \u00c7, Erba\u015f M, \u00d6zceylan E (2019) The impact of routing on CO2 emissions at a retail grocery store chain: A GIS-based solution approach. In international series in operations research and management science, Vol. 273, pp 143\u2013160","DOI":"10.1007\/978-3-319-97511-5_5"},{"issue":"4","key":"942_CR37","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1080\/17415977.2014.933828","volume":"23","author":"S Kuter","year":"2015","unstructured":"Kuter S, Weber GW, Aky\u00fcrek Z, \u00d6zmen A (2015) Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines. Inverse Probl Sci Eng 23(4):651\u2013669","journal-title":"Inverse Probl Sci Eng"},{"key":"942_CR38","doi-asserted-by":"publisher","first-page":"31","DOI":"10.5194\/isprs-archives-XLII-2-W1-31-2016","volume":"42","author":"S Kuter","year":"2016","unstructured":"Kuter S, Aky\u00fcrek Z, Weber GW (2016) Estimation of subpixel snow-covered area by nonparametric regression splines. Int Arch Photogramm Remote Sens Spat Inform Sci 42:31\u201336","journal-title":"Int Arch Photogramm Remote Sens Spat Inform Sci"},{"key":"942_CR39","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s12351-016-0229-x","volume":"17","author":"S Kuter","year":"2017","unstructured":"Kuter S, Weber GW, Aky\u00fcrek Z (2017) A progressive approach for processing satellite data by operational research. Oper Res Int J 17:371\u2013393","journal-title":"Oper Res Int J"},{"key":"942_CR40","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.rse.2017.11.021","volume":"205","author":"S Kuter","year":"2018","unstructured":"Kuter S, Akyurek Z, Weber GW (2018) Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines. Remote Sens Environ 205:236\u2013252","journal-title":"Remote Sens Environ"},{"issue":"6","key":"942_CR42","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1080\/19397038.2018.1488891","volume":"12","author":"P Liu","year":"2019","unstructured":"Liu P (2019) Pricing and coordination strategies of dual-channel green supply chain considering products green degree and channel environment sustainability. Int J Sustain Eng 12(6):404\u2013414. https:\/\/doi.org\/10.1080\/19397038.2018.1488891","journal-title":"Int J Sustain Eng"},{"issue":"14","key":"942_CR43","doi-asserted-by":"publisher","first-page":"6789","DOI":"10.1007\/s00500-022-06906-2","volume":"26","author":"K Liu","year":"2022","unstructured":"Liu K, Li W, Cao E, Lan Y (2022) Comparison of subsidy strategies on the green supply chain under a behaviour-based pricing model. Soft Comput 26(14):6789\u20136809. https:\/\/doi.org\/10.1007\/s00500-022-06906-2","journal-title":"Soft Comput"},{"key":"942_CR44","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-023-00874-0","author":"R Lotfi","year":"2023","unstructured":"Lotfi R, Hazrati H, Ali S, Sharifmousavi M, Khanbaba A, Amra M (2023a) Antifragile sustainable and agile healthcare waste chain network design by considering blockchain resiliency robustness and risk. Cent Eur J Op Res. https:\/\/doi.org\/10.1007\/s10100-023-00874-0","journal-title":"Cent Eur J Op Res"},{"key":"942_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.jer.2023.10.007","author":"R Lotfi","year":"2023","unstructured":"Lotfi R, Shafiei RM, Komeleh MG, Pasha FG, Ferasat M (2023b) Vaccine supply chain network design by considering viability, robustness and risk. J Eng Res. https:\/\/doi.org\/10.1016\/j.jer.2023.10.007","journal-title":"J Eng Res"},{"key":"942_CR46","doi-asserted-by":"publisher","first-page":"140369","DOI":"10.1016\/j.jclepro.2023.140369","volume":"436","author":"R Lotfi","year":"2024","unstructured":"Lotfi R, Hazrati R, Aghakhani S, Afshar M, Amra M, Ali SS (2024) A data-driven robust optimization in viable supply chain network design by considering Open Innovation and Blockchain Technology. J Clean Prod 436:140369","journal-title":"J Clean Prod"},{"key":"942_CR49","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-023-05602-0","author":"C McDaid","year":"2023","unstructured":"McDaid C, Azadnia AH, Onofrei G, Tirkolaee EB (2023) Industry readiness measurement for circular supply chain implementation: an Irish dairy industry perspective. Ann Oper Res. https:\/\/doi.org\/10.1007\/s10479-023-05602-0","journal-title":"Ann Oper Res"},{"issue":"35","key":"942_CR50","doi-asserted-by":"publisher","first-page":"44378","DOI":"10.1007\/s11356-020-10331-z","volume":"27","author":"S Mehrbakhsh","year":"2020","unstructured":"Mehrbakhsh S, Ghezavati V (2020) Mathematical modeling for green supply chain considering product recovery capacity and uncertainty for demand. Environ Sci Pollut Res 27(35):44378\u201344395. https:\/\/doi.org\/10.1007\/s11356-020-10331-z","journal-title":"Environ Sci Pollut Res"},{"issue":"1","key":"942_CR54","doi-asserted-by":"publisher","first-page":"15751","DOI":"10.1038\/s41598-024-66481-4","volume":"14","author":"K Moulaei","year":"2024","unstructured":"Moulaei K, Afrash MR, Parvin M, Shadnia S, Rahimi M, Mostafazadeh B, Hosseini SM (2024) Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models. Sci Reports 14(1):15751. https:\/\/doi.org\/10.1038\/s41598-024-66481-4","journal-title":"Sci Reports"},{"key":"942_CR55","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2024.2379540","author":"AK Mukherjee","year":"2024","unstructured":"Mukherjee AK, Maity G, Jablonsky J, Kumar Roy K, Weber GW (2024) A sustainable inventory optimisation considering imperfect production under uncertain environment. Int J Syst Sci: Op Logist. https:\/\/doi.org\/10.1080\/23302674.2024.2379540","journal-title":"Int J Syst Sci: Op Logist"},{"key":"942_CR56","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1016\/j.jclepro.2019.06.168","volume":"235","author":"IE Nielsen","year":"2019","unstructured":"Nielsen IE, Majumder S, Sana SS, Saha S (2019) Comparative analysis of government incentives and game structures on single and two-period green supply chain. J Clean Prod 235:1371\u20131398. https:\/\/doi.org\/10.1016\/j.jclepro.2019.06.168","journal-title":"J Clean Prod"},{"key":"942_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2022.108605","author":"B Niu","year":"2022","unstructured":"Niu B, Zhang N, Xu H, Chen L, Ji P (2022) Inviting MNFs\u2019 green offshoring: Is it an effective way to coordinate economic and environmental sustainability? Int J Prod Econ. https:\/\/doi.org\/10.1016\/j.ijpe.2022.108605","journal-title":"Int J Prod Econ"},{"issue":"5","key":"942_CR58","doi-asserted-by":"publisher","first-page":"3773","DOI":"10.1007\/s13762-021-03521-w","volume":"19","author":"N Pak","year":"2022","unstructured":"Pak N, Nahavandi N, Bagheri B (2022) Designing a multiobjective green supply chain network for an automotive company using an improved meta-heuristic algorithm. Int J Environ Sci Technol 19(5):3773\u20133796. https:\/\/doi.org\/10.1007\/s13762-021-03521-w","journal-title":"Int J Environ Sci Technol"},{"key":"942_CR59","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.eap.2022.08.001","volume":"76","author":"Y Peng","year":"2022","unstructured":"Peng Y, Wang W, Li S, Veglianti E (2022) Competition and cooperation in the dual-channel green supply chain with customer satisfaction. Economic Analysis and Policy 76:95\u2013113. https:\/\/doi.org\/10.1016\/j.eap.2022.08.001","journal-title":"Economic Analysis and Policy"},{"issue":"21","key":"942_CR60","doi-asserted-by":"publisher","first-page":"5298","DOI":"10.3390\/su11215928","volume":"11","author":"R Qiu","year":"2019","unstructured":"Qiu R, Shi S, Sun Y (2019) A p-Robust green supply chain network design model under uncertain carbon price and demand. Sustainability 11(21):5298. https:\/\/doi.org\/10.3390\/su11215928","journal-title":"Sustainability"},{"key":"942_CR61","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.jclepro.2017.05.026","volume":"162","author":"A Rajeev","year":"2017","unstructured":"Rajeev A, Pati RK, Padhi SS, Govindan K (2017) Evolution of sustainability in supply chain management: a literature review. J Clean Prod 162:299\u2013314. https:\/\/doi.org\/10.1016\/j.jclepro.2017.05.026","journal-title":"J Clean Prod"},{"issue":"2","key":"942_CR62","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.ejor.2022.03.014","volume":"303","author":"KN Reddy","year":"2022","unstructured":"Reddy KN, Kumar A, Choudhary A, Cheng TCE (2022) Multi-period green reverse logistics network design: an improved Benders-decomposition-based heuristic approach. Eur J Oper Res 303(2):735\u2013752. https:\/\/doi.org\/10.1016\/j.ejor.2022.03.014","journal-title":"Eur J Oper Res"},{"key":"942_CR63","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-021-00770-5","author":"K Rest","year":"2021","unstructured":"Rest K, Hirsch P (2021) Insights and decision support for home health care services in times of disasters. Cent Eur J Op Res. https:\/\/doi.org\/10.1007\/s10100-021-00770-5","journal-title":"Cent Eur J Op Res"},{"key":"942_CR64","doi-asserted-by":"publisher","first-page":"118081","DOI":"10.1016\/j.jclepro.2019.118081","volume":"239","author":"E Roghanian","year":"2019","unstructured":"Roghanian E, Cheraghalipour A (2019) Addressing a set of meta-heuristics to solve a multiobjective model for closed-loop citrus supply chain considering CO2 emissions. J Clean Prod 239:118081. https:\/\/doi.org\/10.1016\/j.jclepro.2019.118081","journal-title":"J Clean Prod"},{"key":"942_CR65","doi-asserted-by":"publisher","DOI":"10.1016\/j.foohum.2024.100378","author":"S Rokhva","year":"2024","unstructured":"Rokhva S, Teimourpour B, Soltani AH (2024) Computer vision in the food industry: accurate, real-time, and automatic food recognition with pretrained mobilenetv2. Food Humanit. https:\/\/doi.org\/10.1016\/j.foohum.2024.100378","journal-title":"Food Humanit"},{"key":"942_CR67","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/s10100-016-0464-5","volume":"25","author":"SK Roy","year":"2024","unstructured":"Roy SK, Maity G, Weber GW (2017) Multiobjective two-stage grey transportation problem using utility function with goals. Cent Eur J Oper Res 25:417\u2013439. https:\/\/doi.org\/10.1007\/s10100-016-0464-5","journal-title":"Cent Eur J Oper Res"},{"issue":"2","key":"942_CR68","first-page":"155","volume":"10","author":"S Saeedi","year":"2023","unstructured":"Saeedi S, Poursabzi O, Ardalan Z, Karimi S (2023) A variable service rate queue model for hub median problem. J Appl Res Ind Eng 10(2):155\u2013166","journal-title":"J Appl Res Ind Eng"},{"key":"942_CR69","doi-asserted-by":"publisher","unstructured":"Saeedi S, Koohestani K, Poshdar M, Talebi S (2022) Investigation of the construction supply chain vulnerabilities under an unfavorable macro-environmental context In:\u00a0Proc. 30th annual conference of the international group for lean construction (IGLC), pp 784\u2013794. https:\/\/doi.org\/10.24928\/2022\/0190.","DOI":"10.24928\/2022\/0190"},{"key":"942_CR70","doi-asserted-by":"publisher","DOI":"10.1007\/s10668-023-04123-x","author":"M Salehi Sarbijan","year":"2023","unstructured":"Salehi Sarbijan M, Behnamian J (2023a) Feeder vehicle routing problem in a collaborative environment using hybrid particle swarm optimization and adaptive learning strategy. Environ Dev Sustain. https:\/\/doi.org\/10.1007\/s10668-023-04123-x","journal-title":"Environ Dev Sustain."},{"key":"942_CR71","doi-asserted-by":"publisher","first-page":"109684","DOI":"10.1016\/j.cie.2023.109684","volume":"185","author":"M Salehi Sarbijan","year":"2023","unstructured":"Salehi Sarbijan M, Behnamian J (2023b) A mathematical model and metaheuristic approach to solve the real-time feeder vehicle routing problem. Comput Ind Eng 185:109684. https:\/\/doi.org\/10.1016\/j.cie.2023.109684","journal-title":"Comput Ind Eng"},{"issue":"81","key":"942_CR72","first-page":"181","volume":"21","author":"M Salehi","year":"2017","unstructured":"Salehi M, Sayyah M (2017) Evaluation and selection of efficient suppliers in terms of uncertainty -the grey data envelopment analysis approach. Iran J Trade Stud 21(81):181\u2013203","journal-title":"Iran J Trade Stud"},{"key":"942_CR73","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2022.130513","author":"B Sarkar","year":"2022","unstructured":"Sarkar B, Debnath A, Chiu ASF, Ahmed W (2022) Circular economy-driven two-stage supply chain management for nullifying waste. J Clean Prod. https:\/\/doi.org\/10.1016\/j.jclepro.2022.130513","journal-title":"J Clean Prod"},{"key":"942_CR74","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.cor.2014.08.010","volume":"54","author":"K Sarrafha","year":"2015","unstructured":"Sarrafha K, Rahmati SHA, Niaki STA, Zaretalab A (2015) A bi-objective integrated procurement, production, and distribution problem of a multi-echelon supply chain network design: a new tuned MOEA. Comput Oper Res 54:35\u201351. https:\/\/doi.org\/10.1016\/j.cor.2014.08.010","journal-title":"Comput Oper Res"},{"key":"942_CR75","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-021-12980-0","author":"MS Shabbir","year":"2021","unstructured":"Shabbir MS, Mahmood A, Setiawan R, Nasirin C, Rusdiyanto R, Gazali G, Batool F (2021) Closed-loop supply chain network design with sustainability and resiliency criteria. Environ Sci Pollut Res. https:\/\/doi.org\/10.1007\/s11356-021-12980-0","journal-title":"Environ Sci Pollut Res"},{"issue":"127","key":"942_CR76","doi-asserted-by":"publisher","first-page":"131","DOI":"10.2298\/PIM2327131S","volume":"113","author":"M Shavandi","year":"2023","unstructured":"Shavandi M, Taghavi A (2023) Maps preserving n-tuple A* B\u2212 B* A derivations on factor von Neumann algebras. Publ De L\u2019institut Math 113(127):131\u2013140","journal-title":"Publ De L\u2019institut Math"},{"key":"942_CR77","doi-asserted-by":"publisher","DOI":"10.1007\/s10668-022-02109-9","author":"X Sheng","year":"2022","unstructured":"Sheng X, Chen L, Yuan X, Tang Y, Yuan Q, Chen R, Liu H (2022) Green supply chain management for a more sustainable manufacturing industry in China: a critical review. Environ, Dev Sustain. https:\/\/doi.org\/10.1007\/s10668-022-02109-9","journal-title":"Environ, Dev Sustain"},{"key":"942_CR78","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2022.108582","author":"M Simonetto","year":"2022","unstructured":"Simonetto M, Sgarbossa F, Battini D, Govindan K (2022) Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research Agenda. Int J Prod Econ. https:\/\/doi.org\/10.1016\/j.ijpe.2022.108582","journal-title":"Int J Prod Econ"},{"issue":"1","key":"942_CR79","first-page":"85","volume":"6","author":"S Soleymani","year":"2024","unstructured":"Soleymani S, Talebi A (2024) Forecasting solar irradiance with geographical considerations: integrating feature selection and learning algorithms. Asian J Soc Sci 6(1):85\u201393","journal-title":"Asian J Soc Sci"},{"key":"942_CR80","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2022.110893","volume":"220","author":"M Szafra\u0144ski","year":"2022","unstructured":"Szafra\u0144ski M, Tylczy\u0144ski Z, Wiesner M, Czarnecki P, Ghazaryan VV, Petrosyan AM (2022) Above-room-temperature ferroelectricity and piezoelectric activity of dimethylglycinium-dimethylglycine chloride. Mater Des 220:110893","journal-title":"Mater Des"},{"key":"942_CR81","doi-asserted-by":"publisher","DOI":"10.1007\/s42044-024-00193-w","author":"A Talebi","year":"2024","unstructured":"Talebi A, Boroujeni SP, Razi A (2024) Integrating random regret minimization-based discrete choice models with mixed integer linear programming for revenue optimization. Iran J Comput Sci. https:\/\/doi.org\/10.1007\/s42044-024-00193-w","journal-title":"Iran J Comput Sci"},{"key":"942_CR83","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.119517","author":"EB Tirkolaee","year":"2020","unstructured":"Tirkolaee EB, Mardani A, Dashtian Z, Soltan MA (2020) novel hybrid method using fuzzy decision making and multiobjective programming for sustainable-reliable supplier selection in two-echelon supply chain design. J Clean Prod. https:\/\/doi.org\/10.1016\/j.jclepro.2019.119517","journal-title":"J Clean Prod"},{"key":"942_CR84","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2021.130056","author":"EB Tirkolaee","year":"2022","unstructured":"Tirkolaee EB, Goli A, Ghasemi P, Goodarzian F (2022) Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. J Clean Prod. https:\/\/doi.org\/10.1016\/j.jclepro.2021.130056","journal-title":"J Clean Prod"},{"issue":"1","key":"942_CR85","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s13243-019-00071-w","volume":"10","author":"CA Tsiliyannis","year":"2020","unstructured":"Tsiliyannis CA (2020) Prognosis of product take-back for enhanced remanufacturing. J Remanufacturing 10(1):15\u201342. https:\/\/doi.org\/10.1007\/s13243-019-00071-w","journal-title":"J Remanufacturing"},{"key":"942_CR87","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.ijpe.2017.06.021","volume":"191","author":"L Yang","year":"2017","unstructured":"Yang L, Zhang Q, Ji J (2017) Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation. Int J Prod Econ 191:286\u2013297. https:\/\/doi.org\/10.1016\/j.ijpe.2017.06.021","journal-title":"Int J Prod Econ"},{"key":"942_CR89","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.jclepro.2019.03.279","volume":"226","author":"M Yavari","year":"2019","unstructured":"Yavari M, Geraeli M (2019) Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods. J Clean Prod 226:282\u2013305. https:\/\/doi.org\/10.1016\/j.jclepro.2019.03.279","journal-title":"J Clean Prod"},{"key":"942_CR90","doi-asserted-by":"publisher","first-page":"108410","DOI":"10.1016\/j.cie.2022.108410","volume":"171","author":"T Zhang","year":"2022","unstructured":"Zhang T, Hao Y, Zhu X (2022) Consignment inventory management in a closed-loop supply chain for deteriorating items under a carbon cap-and-trade regulation. Comput Ind Eng 171:108410. https:\/\/doi.org\/10.1016\/j.cie.2022.108410","journal-title":"Comput Ind Eng"}],"container-title":["Central European Journal of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10100-024-00942-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10100-024-00942-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10100-024-00942-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T06:37:50Z","timestamp":1767940670000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10100-024-00942-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":74,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["942"],"URL":"https:\/\/doi.org\/10.1007\/s10100-024-00942-z","relation":{},"ISSN":["1435-246X","1613-9178"],"issn-type":[{"value":"1435-246X","type":"print"},{"value":"1613-9178","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"18 September 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors declare that they have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This is an observational study. No ethical approval is required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Not required.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Authors are responsible for the correctness of the statements provided in the manuscript.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}}]}}