{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T00:15:39Z","timestamp":1725840939863},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JZ2023HGTB0278"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2308085MG225","2108085QG291","2108085QG287"],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017668","name":"Anhui Provincial Key Research and Development Plan","doi-asserted-by":"publisher","award":["2022a05020023"],"id":[{"id":"10.13039\/501100017668","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72101071","72071056","72101077","72271077","72371095"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Operations Research"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.cor.2024.106803","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T01:44:27Z","timestamp":1723513467000},"page":"106803","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Closed-loop supply chain network design with price-greenness-sensitive demand: A distributionally robust chance-constrained optimization approach"],"prefix":"10.1016","volume":"172","author":[{"given":"Yao","family":"Gao","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9195-4376","authenticated-orcid":false,"given":"Shaojun","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Sheng","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Chaoming","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Xinbao","family":"Liu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.cor.2024.106803_b0005","first-page":"1","article-title":"A multi-objective closed-loop supply chain network design problem under parameter uncertainty: comparison of exact methods","author":"Abdolazimi","year":"2022","journal-title":"Environ. Development and Sustainability"},{"key":"10.1016\/j.cor.2024.106803_b0010","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.ijpe.2019.04.035","article-title":"An integrated multi-echelon robust closed-loop supply chain under imperfect quality production","volume":"218","author":"Almaraj","year":"2019","journal-title":"Int. J. Prod. Econ."},{"issue":"5","key":"10.1016\/j.cor.2024.106803_b0015","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1080\/00207543.2012.693643","article-title":"A three-stage model for closed-loop supply chain configuration under uncertainty","volume":"51","author":"Amin","year":"2013","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.cor.2024.106803_b0020","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.tre.2016.01.009","article-title":"Robust grain supply chain design considering post-harvest loss and harvest timing equilibrium","volume":"88","author":"An","year":"2016","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.cor.2024.106803_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108051","article-title":"Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic","volume":"168","author":"Ash","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0030","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.renene.2017.09.020","article-title":"Modelling different types of uncertainty in biofuel supply network design and planning: a robust optimization approach","volume":"116","author":"Bairamzadeh","year":"2018","journal-title":"Renew. Energy"},{"key":"10.1016\/j.cor.2024.106803_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2023.108981","article-title":"Environmental and social equity in network design of sustainable closed-loop supply chains","volume":"264","author":"Batta\u00efa","year":"2023","journal-title":"Int. J. Prod. Econ."},{"issue":"3","key":"10.1016\/j.cor.2024.106803_b0040","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1287\/moor.1100.0445","article-title":"Models for minimax stochastic linear optimization problems with risk aversion","volume":"35","author":"Bertsimas","year":"2010","journal-title":"Math. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2022.106130","article-title":"A chance-constraint optimization model for a multi-echelon multi-product closed-loop supply chain considering brand diversity: an accelerated Benders decomposition algorithm","volume":"152","author":"Borajee","year":"2023","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2023.102939","article-title":"An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles","volume":"122","author":"Borumand","year":"2024","journal-title":"Omega"},{"key":"10.1016\/j.cor.2024.106803_b0055","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.rcim.2015.10.006","article-title":"A particle swarm approach for optimizing a multi-stage closed loop supply chain for the solar cell industry","volume":"43","author":"Chen","year":"2017","journal-title":"Rob. Comput. Integr. Manuf."},{"key":"10.1016\/j.cor.2024.106803_b0060","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.cie.2015.08.004","article-title":"Design of close-loop supply chain network under uncertainty using hybrid genetic algorithm: a fuzzy and chance-constrained programming model","volume":"88","author":"Dai","year":"2015","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0065","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.cie.2018.06.030","article-title":"Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design","volume":"123","author":"Dehghan","year":"2018","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"10.1016\/j.cor.2024.106803_b0070","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1016\/j.ejor.2013.12.032","article-title":"Designing a sustainable closed-loop supply chain network based on triple bottom line approach: a comparison of metaheuristics hybridization techniques","volume":"235","author":"Devika","year":"2014","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0075","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ijpe.2018.09.018","article-title":"A perishable product supply chain network design problem with reliability and disruption considerations","volume":"212","author":"Diabat","year":"2019","journal-title":"Int. J. Prod. Econ."},{"issue":"11","key":"10.1016\/j.cor.2024.106803_b0080","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1080\/0740817X.2010.504689","article-title":"A closed-loop supply chain network design problem with integrated forward and reverse channel decisions","volume":"42","author":"Easwaran","year":"2010","journal-title":"IIE Trans."},{"key":"10.1016\/j.cor.2024.106803_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2020.111277","article-title":"Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty","volume":"275","author":"Fathollahi-Fard","year":"2020","journal-title":"J. Environ. Manage."},{"issue":"6","key":"10.1016\/j.cor.2024.106803_b0090","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/S0305-0483(00)00022-0","article-title":"A characterisation of logistics networks for product recovery","volume":"28","author":"Fleischmann","year":"2000","journal-title":"Omega"},{"key":"10.1016\/j.cor.2024.106803_b0095","doi-asserted-by":"crossref","first-page":"2043","DOI":"10.1016\/j.jclepro.2015.01.066","article-title":"Pricing and effort decisions in a closed-loop supply chain under different channel power structures","volume":"112","author":"Gao","year":"2016","journal-title":"J. Clean. Prod."},{"issue":"3","key":"10.1016\/j.cor.2024.106803_b0100","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1002\/aic.16488","article-title":"Data-driven distributionally robust optimization of shale gas supply chains under uncertainty","volume":"65","author":"Gao","year":"2019","journal-title":"AIChE J."},{"key":"10.1016\/j.cor.2024.106803_b0105","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.omega.2015.11.008","article-title":"Closed-loop supply chain configuration for new and reconditioned products: an integrated optimization model","volume":"66","author":"Gaur","year":"2017","journal-title":"Omega"},{"issue":"12","key":"10.1016\/j.cor.2024.106803_b0110","doi-asserted-by":"crossref","first-page":"e17909","DOI":"10.1002\/aic.17909","article-title":"Distributionally robust optimization for the closed-loop supply chain design under uncertainty","volume":"68","author":"Ge","year":"2022","journal-title":"AIChE J."},{"key":"10.1016\/j.cor.2024.106803_b0115","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.eswa.2018.09.027","article-title":"A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm","volume":"116","author":"Ghahremani-Nahr","year":"2019","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.cor.2024.106803_b0120","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.jclepro.2018.03.273","article-title":"A fuzzy pricing model for a green competitive closed-loop supply chain network design in the presence of disruptions","volume":"188","author":"Ghomi-Avili","year":"2018","journal-title":"J. Clean. Prod."},{"issue":"2","key":"10.1016\/j.cor.2024.106803_b0125","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1016\/j.ejor.2021.04.039","article-title":"Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems","volume":"297","author":"Gong","year":"2022","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108224","article-title":"Hybrid robust and stochastic optimization for a capital-constrained fresh product supply chain integrating risk-aversion behavior and financial strategies","volume":"169","author":"Guan","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejor.2023.06.006","article-title":"Capacity reservation for humanitarian relief: a logic-based Benders decomposition method with subgradient cut","author":"Guo","year":"2023","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108845","article-title":"Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: a distributionally robust approach","volume":"175","author":"Hashemi-Amiri","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0145","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.cie.2019.07.031","article-title":"A robust leader-follower approach for closed loop supply chain network design considering returns quality levels","volume":"136","author":"Hassanpour","year":"2019","journal-title":"Comput. Ind. Eng."},{"issue":"6","key":"10.1016\/j.cor.2024.106803_b0150","doi-asserted-by":"crossref","first-page":"5459","DOI":"10.3390\/su15065459","article-title":"The influence of green supply chain management practices on corporate sustainability performance","volume":"15","author":"Hejazi","year":"2023","journal-title":"Sustainability"},{"key":"10.1016\/j.cor.2024.106803_b0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.122005","article-title":"A multi-product and multi-period supply chain network design problem with price-sensitive demand and incremental quantity discount","volume":"238","author":"Hu","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.cor.2024.106803_b0160","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.cie.2017.12.025","article-title":"Closed-loop supply chain network design under disruption risks: a robust approach with real world application","volume":"116","author":"Jabbarzadeh","year":"2018","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0165","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.jclepro.2018.02.255","article-title":"Data-driven approaches to integrated closed-loop sustainable supply chain design under multi-uncertainties","volume":"185","author":"Jiao","year":"2018","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109308","article-title":"Bi-objective stochastic closed-loop supply chain network design under uncertain quantity and quality of returns","volume":"181","author":"Kchaou-Boujelben","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0175","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tre.2015.03.003","article-title":"Benders\u2019 decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties","volume":"79","author":"Khatami","year":"2015","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.cor.2024.106803_b0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107326","article-title":"A hybrid modeling approach for green and sustainable closed-loop supply chain considering price, advertisement and uncertain demands","volume":"157","author":"Khorshidvand","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0185","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.1016\/j.jclepro.2018.06.157","article-title":"Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty","volume":"196","author":"Kim","year":"2018","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2022.108409","article-title":"Pricing and collection decisions of a closed-loop supply chain with fuzzy demand","volume":"245","author":"Liu","year":"2022","journal-title":"Int. J. Prod. Econ."},{"issue":"1","key":"10.1016\/j.cor.2024.106803_b0195","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1007\/s10479-022-04918-7","article-title":"Solving the integrated bin allocation and collection routing problem for municipal solid waste: a Benders decomposition approach","volume":"322","author":"Mah\u00e9o","year":"2023","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0200","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1016\/j.jclepro.2019.06.187","article-title":"An accelerated benders decomposition algorithm for a bi-objective green closed loop supply chain network design problem","volume":"235","author":"Mardan","year":"2019","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0205","doi-asserted-by":"crossref","first-page":"4494","DOI":"10.1016\/j.jclepro.2017.10.266","article-title":"Remanufactured auto parts market in Japan: historical review and factors affecting green purchasing behavior","volume":"172","author":"Matsumoto","year":"2018","journal-title":"J. Clean. Prod."},{"issue":"2","key":"10.1016\/j.cor.2024.106803_b0210","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s12063-022-00312-5","article-title":"Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions","volume":"16","author":"Mohammadi","year":"2023","journal-title":"Oper. Manag. Res."},{"key":"10.1016\/j.cor.2024.106803_b0215","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.trd.2016.10.033","article-title":"Multi-period planning of closed-loop supply chain with carbon policies under uncertainty","volume":"51","author":"Mohammed","year":"2017","journal-title":"Transp. Res. Part D: Transp. Environ."},{"issue":"4","key":"10.1016\/j.cor.2024.106803_b0220","first-page":"321","article-title":"A scenario-based possibilistic-stochastic programming approach to address resilient humanitarian logistics considering travel time and resilience levels of facilities","volume":"8","author":"Nezhadroshan","year":"2021","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"10.1016\/j.cor.2024.106803_b0225","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.omega.2018.09.003","article-title":"Robust design of a closed-loop supply chain under uncertainty conditions integrating financial criteria","volume":"88","author":"Polo","year":"2019","journal-title":"Omega"},{"key":"10.1016\/j.cor.2024.106803_b0230","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.jclepro.2018.05.245","article-title":"Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks","volume":"196","author":"Sahebjamnia","year":"2018","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2019.119086","article-title":"Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations","volume":"247","author":"Samuel","year":"2020","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0240","first-page":"1","article-title":"Closed-loop supply chain network design with sustainability and resiliency criteria","author":"Shabbir","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"10.1016\/j.cor.2024.106803_b0245","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.compchemeng.2017.12.002","article-title":"Distributionally robust optimization for planning and scheduling under uncertainty","volume":"110","author":"Shang","year":"2018","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0250","first-page":"1","article-title":"Carbon-efficient closed-loop supply chain network: an integrated modeling approach under uncertainty","author":"Soleimani","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"10.1016\/j.cor.2024.106803_b0255","doi-asserted-by":"crossref","DOI":"10.1016\/j.tre.2020.102131","article-title":"Network planning and operation of sustainable closed-loop supply chains in emerging markets: Retail market configurations and carbon policies","volume":"144","author":"Tao","year":"2020","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"1","key":"10.1016\/j.cor.2024.106803_b0260","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ejor.2021.01.008","article-title":"An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem","volume":"294","author":"Tautenhain","year":"2021","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0265","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1016\/j.cie.2019.05.027","article-title":"Multi-objective mathematical modeling for sustainable supply chain management in the paper industry","volume":"135","author":"Vafaeenezhad","year":"2019","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2024.106803_b0270","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.ijpe.2015.08.020","article-title":"A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system","volume":"170","author":"Vahdani","year":"2015","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.cor.2024.106803_b0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108078","article-title":"A multi-period multi-product green supply network design problem with price and greenness dependent demands under uncertainty","volume":"114","author":"Wang","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.cor.2024.106803_b0280","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.cie.2018.09.022","article-title":"Comparisons of interactive fuzzy programming approaches for closed-loop supply chain network design under uncertainty","volume":"125","author":"Wu","year":"2018","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"10.1016\/j.cor.2024.106803_b0285","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1016\/j.ejor.2022.06.047","article-title":"Distributionally robust multi-period location-allocation with multiple resources and capacity levels in humanitarian logistics","volume":"305","author":"Yang","year":"2023","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.cor.2024.106803_b0290","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2023.102896","article-title":"Wasserstein distance-based distributionally robust parallel-machine scheduling","volume":"120","author":"Yin","year":"2023","journal-title":"Omega"},{"issue":"1\u20132","key":"10.1016\/j.cor.2024.106803_b0295","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1080\/00207543.2023.2230324","article-title":"Distributionally robust multi-period humanitarian relief network design integrating facility location, supply inventory and allocation, and evacuation planning","volume":"62","author":"Yin","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.cor.2024.106803_b0300","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.tre.2016.02.011","article-title":"Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty","volume":"89","author":"Zhalechian","year":"2016","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.cor.2024.106803_b0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118139","article-title":"Emergency relief network design under ambiguous demands: a distributionally robust optimization approach","volume":"208","author":"Zhang","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.cor.2024.106803_b0310","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/j.jclepro.2017.07.254","article-title":"Collecting channel choice and optimal decisions on pricing and collecting in a remanufacturing supply chain","volume":"167","author":"Zhao","year":"2017","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2024.106803_b0315","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/s10107-011-0494-7","article-title":"Distributionally robust joint chance constraints with second-order moment information","volume":"137","author":"Zymler","year":"2013","journal-title":"Math. Program."}],"container-title":["Computers & Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0305054824002752?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0305054824002752?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T02:33:49Z","timestamp":1725762829000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0305054824002752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":63,"alternative-id":["S0305054824002752"],"URL":"https:\/\/doi.org\/10.1016\/j.cor.2024.106803","relation":{},"ISSN":["0305-0548"],"issn-type":[{"type":"print","value":"0305-0548"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Closed-loop supply chain network design with price-greenness-sensitive demand: A distributionally robust chance-constrained optimization approach","name":"articletitle","label":"Article Title"},{"value":"Computers & Operations Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cor.2024.106803","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"106803"}}