{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T09:17:08Z","timestamp":1754558228079,"version":"3.37.3"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"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":["Neural Comput &amp; Applic"],"DOI":"10.1007\/s00521-022-08180-7","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T16:02:41Z","timestamp":1672156961000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An interactive possibilistic programming approach for green capacitated vehicle routing problem"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7410-2638","authenticated-orcid":false,"given":"Zeynep","family":"Aydinalp Birecik","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Do\u011fan","family":"\u00d6zgen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"8180_CR1","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1111\/itor.13044","volume":"29","author":"K Erdo\u011fdu","year":"2022","unstructured":"Erdo\u011fdu K, Karabulut K (2022) Bi-objective green vehicle routing problem. Int Trans Oper Res 29:1602\u20131626. https:\/\/doi.org\/10.1111\/itor.13044","journal-title":"Int Trans Oper Res"},{"issue":"12","key":"8180_CR2","doi-asserted-by":"publisher","first-page":"5580","DOI":"10.1016\/j.enpol.2009.08.038","volume":"37","author":"D McCollum","year":"2009","unstructured":"McCollum D, Yang C (2009) Achieving deep reductions in US transport greenhouse gas emissions: scenario analysis and policy implications. Energy Policy 37(12):5580\u20135596. https:\/\/doi.org\/10.1016\/j.enpol.2009.08.038","journal-title":"Energy Policy"},{"key":"8180_CR3","unstructured":"U.S. EPA (U.S. Environmental Protection Agency) (2021) Inventory of U.S. greenhouse gas emissions and sinks: 1990\u20132019. www.epa.gov\/ghgemissions\/inventory-us-greenhouse-gas-emissions-and-sinks"},{"issue":"7","key":"8180_CR4","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1016\/j.cor.2011.08.013","volume":"39","author":"Y Xiao","year":"2012","unstructured":"Xiao Y, Zhao Q, Kaku I, Xu Y (2012) Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Comput Oper Res 39(7):1419\u20131431. https:\/\/doi.org\/10.1016\/j.cor.2011.08.013","journal-title":"Comput Oper Res"},{"issue":"3","key":"8180_CR5","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1016\/j.ejor.2013.12.033","volume":"237","author":"D Bekta\u015f","year":"2014","unstructured":"Bekta\u015f D, Bekta\u015f T, Laporte G (2014) A review of recent research on green road freight transportation. Eur J Oper Res 237(3):775\u2013793. https:\/\/doi.org\/10.1016\/j.ejor.2013.12.033","journal-title":"Eur J Oper Res"},{"issue":"1","key":"8180_CR6","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.tre.2011.08.001","volume":"48","author":"S Erdo\u011fan","year":"2012","unstructured":"Erdo\u011fan S, Miller-Hooks E (2012) A green vehicle routing problem. Trans Res Part E: Logist Trans Rev 48(1):100\u2013114. https:\/\/doi.org\/10.1016\/j.tre.2011.08.001","journal-title":"Trans Res Part E: Logist Trans Rev"},{"key":"8180_CR7","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.asoc.2015.10.064","volume":"39","author":"\u00c7 Ko\u00e7","year":"2016","unstructured":"Ko\u00e7 \u00c7, Karaoglan I (2016) The green vehicle routing problem: a heuristic based exact solution approach. Appl Soft Comput 39:154\u2013164. https:\/\/doi.org\/10.1016\/j.asoc.2015.10.064","journal-title":"Appl Soft Comput"},{"key":"8180_CR8","doi-asserted-by":"publisher","unstructured":"Poonthalir G, Nadarajan R (2018) A Fuel Efficient Green Vehicle Routing Problem with varying speed constraint (F-GVRP). Expert Systems with Applications 100(131\u2013144) https:\/\/doi.org\/10.1016\/j.eswa.2018.01.052","DOI":"10.1016\/j.eswa.2018.01.052"},{"issue":"1","key":"8180_CR9","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1504\/IJSCIM.2017.10007322","volume":"2","author":"I Kazemian","year":"2017","unstructured":"Kazemian I, Aref S (2017) A green perspective on capacitated time-dependent vehicle routing problem with time windows. Int J Supply Chain Inventory Manag 2(1):20\u201338. https:\/\/doi.org\/10.1504\/IJSCIM.2017.10007322","journal-title":"Int J Supply Chain Inventory Manag"},{"key":"8180_CR10","doi-asserted-by":"publisher","unstructured":"Werners B, Kondratenko Y (2017) Alternative fuzzy approaches for efficiently solving the capacitated vehicle routing problem in conditions of uncertain demands. Complex Systems: Solutions and Challenges in Economics Management and Engineering. Splinger. pp. 521\u2013543. https:\/\/doi.org\/10.1007\/978-3-319-69989-9_31","DOI":"10.1007\/978-3-319-69989-9_31"},{"key":"8180_CR11","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s12652-018-0703-9","volume":"10","author":"R Wang","year":"2019","unstructured":"Wang R, Zhou J, Yi X et al (2019) Solving the green-fuzzy vehicle routing problem using a revised hybrid intelligent algorithm. J Ambient Intell Human Comput 10:321\u2013332. https:\/\/doi.org\/10.1007\/s12652-018-0703-9","journal-title":"J Ambient Intell Human Comput"},{"key":"8180_CR12","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.1888392","author":"P Gupta","year":"2021","unstructured":"Gupta P, Govindan K, Kumar M, Khaitan M, Khaitan A (2021) Multiobjective capacitated green vehicle routing problem with fuzzy time distances and demands split into bags. Int J Prod Res. https:\/\/doi.org\/10.1080\/00207543.2021.1888392","journal-title":"Int J Prod Res"},{"key":"8180_CR13","doi-asserted-by":"publisher","unstructured":"Singh VP, Sharma K (2021) Capacitated vehicle routing problem with interval type-2 fuzzy demands. In\u00a0Advances in Mechanical Engineering. Springer Singapore 83\u201389. https:\/\/doi.org\/10.1007\/978-981-15-3639-7_11","DOI":"10.1007\/978-981-15-3639-7_11"},{"issue":"1","key":"8180_CR14","doi-asserted-by":"publisher","first-page":"56","DOI":"10.37256\/ujom.1120221144","volume":"1","author":"G DincYal\u00e7\u0131n","year":"2022","unstructured":"DincYal\u00e7\u0131n G, Erginel N (2022) An Adapted Fuzzy Multi-Objective Programming Algorithm for Vehicle Routing. Univ J Operations Manag 1(1):56\u201374. https:\/\/doi.org\/10.37256\/ujom.1120221144","journal-title":"Univ J Operations Manag"},{"key":"8180_CR15","first-page":"56","volume":"14","author":"T Yang","year":"2022","unstructured":"Yang T, Wang W, Wu Q (2022) Fuzzy demand vehicle routing problem with soft time windows. Sustainability 14:56\u201358","journal-title":"Sustainability"},{"issue":"2","key":"8180_CR16","doi-asserted-by":"publisher","first-page":"01","DOI":"10.38177\/AJBSR.2022.4201","volume":"4","author":"M Azarkish","year":"2022","unstructured":"Azarkish M, Aghaeipour Y (2022) A fuzzy bi-objective mathematical model for multi-depot electric vehicle location routing problem with time windows and simultaneous delivery and pick-up. Asian J Basic Sci Res 4(2):01\u201303. https:\/\/doi.org\/10.38177\/AJBSR.2022.4201","journal-title":"Asian J Basic Sci Res"},{"issue":"2","key":"8180_CR17","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1504\/IJRAPIDM.2010.034254","volume":"1","author":"MJ Eskandari","year":"2010","unstructured":"Eskandari MJ, Aliahmadi A, Khaleghi GHH (2010) A robust optimisation approach for the milk run problem with time windows with inventory uncertainty: an auto industry supply chain case study. Int J Rapid Manuf 1(2):334\u2013347. https:\/\/doi.org\/10.1504\/IJRAPIDM.2010.034254","journal-title":"Int J Rapid Manuf"},{"issue":"2","key":"8180_CR18","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1016\/j.ins.2007.08.002","volume":"178","author":"D \u00d6zgen","year":"2008","unstructured":"\u00d6zgen D, \u00d6n\u00fct S, G\u00fcls\u00fcn B, Tuzkaya UF, Tuzkaya G (2008) A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems. Inf Sci 178(2):485\u2013500. https:\/\/doi.org\/10.1016\/j.ins.2007.08.002","journal-title":"Inf Sci"},{"issue":"3","key":"8180_CR19","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.ijpe.2004.09.011","volume":"98","author":"RC Wang","year":"2005","unstructured":"Wang RC, Liang TF (2005) Applying possibilistic linear programming to aggregate production planning. Int J Prod Econ 98(3):328\u2013341. https:\/\/doi.org\/10.1016\/j.ijpe.2004.09.011","journal-title":"Int J Prod Econ"},{"issue":"2","key":"8180_CR20","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.fss.2007.08.010","volume":"159","author":"SA Torabi","year":"2008","unstructured":"Torabi SA, Hassini E (2008) An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets Syst 159(2):193\u2013214. https:\/\/doi.org\/10.1016\/j.fss.2007.08.010","journal-title":"Fuzzy Sets Syst"},{"key":"8180_CR21","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/0165-0114(92)90318-X","volume":"49","author":"YJ Lai","year":"1992","unstructured":"Lai YJ, Hwang CL (1992) A new approach to some possibilistic linear programming problems. Fuzzy Sets Syst 49:121\u2013133. https:\/\/doi.org\/10.1016\/0165-0114(92)90318-X","journal-title":"Fuzzy Sets Syst"},{"key":"8180_CR22","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/0165-0114(78)90031-3","volume":"1","author":"HJ Zimmermann","year":"1978","unstructured":"Zimmermann HJ (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1:45\u201355. https:\/\/doi.org\/10.1016\/0165-0114(78)90031-3","journal-title":"Fuzzy Sets Syst"},{"issue":"8","key":"8180_CR23","doi-asserted-by":"publisher","first-page":"6782","DOI":"10.1016\/j.eswa.2011.12.056","volume":"39","author":"SH Amin","year":"2013","unstructured":"Amin SH, Zhang G (2013) An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach. Expert Syst Appl 39(8):6782\u20136791. https:\/\/doi.org\/10.1016\/j.eswa.2011.12.056","journal-title":"Expert Syst Appl"},{"key":"8180_CR24","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.cie.2019.07.038","volume":"136","author":"S Gupta","year":"2019","unstructured":"Gupta S, Soni U, Kumar G (2019) Green supplier selection using multi-criterion decision making under fuzzy environment: a case study in automotive industry. Comput Ind Eng 136:663\u2013680. https:\/\/doi.org\/10.1016\/j.cie.2019.07.038","journal-title":"Comput Ind Eng"},{"key":"8180_CR25","doi-asserted-by":"publisher","first-page":"2253","DOI":"10.1007\/s00500-020-05294-9","volume":"25","author":"A \u00c7al\u0131k","year":"2021","unstructured":"\u00c7al\u0131k A (2021) A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Comput 25:2253\u20132265. https:\/\/doi.org\/10.1007\/s00500-020-05294-9","journal-title":"Soft Comput"},{"issue":"6","key":"8180_CR26","doi-asserted-by":"publisher","first-page":"1668","DOI":"10.1016\/j.asoc.2012.01.023","volume":"12","author":"A Amindoust","year":"2012","unstructured":"Amindoust A, Ahmed S, Saghafinia A, Bahreininejad A (2012) Sustainable supplier selection: a ranking model based on fuzzy inference system. Appl Soft Comput 12(6):1668\u20131677. https:\/\/doi.org\/10.1016\/j.asoc.2012.01.023","journal-title":"Appl Soft Comput"},{"key":"8180_CR27","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.jclepro.2012.04.014","volume":"47","author":"K Govindan","year":"2013","unstructured":"Govindan K, Khodaverdi R, Jafarian A (2013) A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. J Clean Prod 47:345\u2013354. https:\/\/doi.org\/10.1016\/j.jclepro.2012.04.014","journal-title":"J Clean Prod"},{"issue":"1","key":"8180_CR28","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.ijpe.2009.11.023","volume":"124","author":"C Bai","year":"2010","unstructured":"Bai C, Sarkis J (2010) Integrating sustainability into supplier selection with grey system and rough set methodologies. Int J Prod Econ 124(1):252\u2013264. https:\/\/doi.org\/10.1016\/j.ijpe.2009.11.023","journal-title":"Int J Prod Econ"},{"key":"8180_CR29","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.ijpe.2014.09.027","volume":"159","author":"SH Hashemi","year":"2015","unstructured":"Hashemi SH, Karimi A, Tavana M (2015) An integrated green supplier selection approach with analytic network process and improved grey relational analysis. Int J Prod Econ 159:178\u2013191. https:\/\/doi.org\/10.1016\/j.ijpe.2014.09.027","journal-title":"Int J Prod Econ"},{"key":"8180_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107328","author":"E Eren","year":"2021","unstructured":"Eren E, Tuzkaya UR (2021) Safe distance-based vehicle routing problem: Medical waste collection case study in COVID-19 pandemic. Comput Ind Eng. https:\/\/doi.org\/10.1016\/j.cie.2021.107328","journal-title":"Comput Ind Eng"},{"key":"8180_CR31","doi-asserted-by":"publisher","DOI":"10.1108\/IJICC-01-2022-0021","author":"Z Ayd\u0131nalp","year":"2022","unstructured":"Ayd\u0131nalp Z, \u00d6zgen D (2022) Solving vehicle routing problem with time windows using meta heuristic approaches. Int J Intell Comput Cybern. https:\/\/doi.org\/10.1108\/IJICC-01-2022-0021","journal-title":"Int J Intell Comput Cybern"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08180-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-08180-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-08180-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T16:04:59Z","timestamp":1672157099000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-08180-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":31,"alternative-id":["8180"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-08180-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2022,12,27]]},"assertion":[{"value":"13 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors certify that there are no conflicts of interest regarding the publication of this manuscript. They declare that the content of the manuscript has not been published or submitted for publication anywhere.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}