{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T13:49:00Z","timestamp":1768916940575,"version":"3.49.0"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Oper Res Int J"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper addresses a multi-objective blood supply chain network design, considering economic and environmental aspects. The objective of this model is to simultaneously minimize a blood supply chain operational cost and its logistical carbon footprint. In order to embed the uncertainty of transportation costs, blood demand, capacity of facilities and carbon emission, a novel robust possibilistic-necessity optimization used regarding a hybrid optimistic-pessimistic form. For solving our bi-objective model, three multi-objective decision making approaches including LP-metric, Goal-Programming and Torabi- Hassini methods are examined. These approaches are assessed and ranked with respect to several attributes using a statistical test and TOPSIS method. Our proposed model can accommodate a wide range of decision-makers\u2019 viewpoints with the normalized objective weights, both at the operational or strategic level. The trade-offs between the cost and carbon emission for each method has been depicted in our analyses and a Pareto frontier is determined, using a real case study data of 21 cities in the North-West of Iran considering a 12-month implementation time window.<\/jats:p>","DOI":"10.1007\/s12351-022-00710-4","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T19:24:56Z","timestamp":1652383496000},"page":"4685-4723","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach"],"prefix":"10.1007","volume":"22","author":[{"given":"Javid","family":"Ghahremani-Nahr","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8786-6349","authenticated-orcid":false,"given":"Ramez","family":"Kian","sequence":"additional","affiliation":[]},{"given":"Ehsan","family":"Sabet","sequence":"additional","affiliation":[]},{"given":"Vahid","family":"Akbari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"issue":"1","key":"710_CR1","first-page":"20","volume":"7","author":"M Alizadeh","year":"2020","unstructured":"Alizadeh M, Sharbafi F, Paydar MM (2020) A bi-objective natural disaster blood supply chain network considering blood transfusion: a case study in babol. Int J Ind Eng Manag Sci 7(1):20\u201343","journal-title":"Int J Ind Eng Manag Sci"},{"key":"710_CR2","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.apm.2020.12.010","volume":"93","author":"M Arani","year":"2021","unstructured":"Arani M, Chan Y, Liu X, Momenitabar M (2021) A lateral resupply blood supply chain network design under uncertainties. Appl Math Model 93:165\u2013187","journal-title":"Appl Math Model"},{"issue":"3","key":"710_CR3","doi-asserted-by":"publisher","first-page":"605","DOI":"10.24874\/IJQR13.03-07","volume":"13","author":"N Armaghan","year":"2019","unstructured":"Armaghan N, Pazani N (2019) A model for designing a blood supply chain network to earthquake disasters (case study: Tehran city). Int J Quality Res 13(3):605\u2013624","journal-title":"Int J Quality Res"},{"issue":"1","key":"710_CR4","doi-asserted-by":"publisher","first-page":"57","DOI":"10.5267\/j.uscm.2014.8.004","volume":"3","author":"M Arvan","year":"2015","unstructured":"Arvan M, Tavakkoli-Moghaddam R, Abdollahi M (2015) Designing a bi-objective and multi-product supply chain network for the supply of blood. Uncertain Supply Chain Manag 3(1):57\u201368","journal-title":"Uncertain Supply Chain Manag"},{"issue":"2","key":"710_CR5","first-page":"470","volume":"34","author":"M Asadpour","year":"2021","unstructured":"Asadpour M, Boyer O, Tavakkoli-Moghaddam R (2021) A blood supply chain network with backup facilities considering blood groups and expiration date: a real-world application. Int J Eng 34(2):470\u2013479","journal-title":"Int J Eng"},{"issue":"1","key":"710_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ejor.2011.05.026","volume":"217","author":"J Beli\u00ebn","year":"2012","unstructured":"Beli\u00ebn J, Forc\u00e9 H (2012) Supply chain management of blood products: a literature review. Eur J Oper Res 217(1):1\u201316","journal-title":"Eur J Oper Res"},{"key":"710_CR7","first-page":"23","volume":"6","author":"P Chaiwuttisak","year":"2014","unstructured":"Chaiwuttisak P, Smith H, Wu Y, Potts C (2014) Blood supply chain with insufficient supply: a case study of location and routing in thailand. Lecture Notes Manag Sci 6:23\u201331","journal-title":"Lecture Notes Manag Sci"},{"key":"710_CR8","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/7214907","author":"S Chen","year":"2019","unstructured":"Chen S, Wang C (2019) Incorporating a Bayesian network into two-stage stochastic programming for blood bank location-inventory problem in case of disasters. Discr Dynam Nat Soc. https:\/\/doi.org\/10.1155\/2019\/7214907","journal-title":"Discr Dynam Nat Soc"},{"issue":"1","key":"710_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s10479-018-3050-5","volume":"291","author":"S Cheraghi","year":"2020","unstructured":"Cheraghi S, Hosseini-Motlagh S-M (2020) Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study. Ann Oper Res 291(1):129\u2013167","journal-title":"Ann Oper Res"},{"issue":"1\u20134","key":"710_CR10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1023\/A:1020763400324","volume":"110","author":"MS Daskin","year":"2002","unstructured":"Daskin MS, Coullard CR, Shen Z-JM (2002) An inventory-location model: Formulation, solution algorithm and computational results. Ann Oper Res 110(1\u20134):83\u2013106","journal-title":"Ann Oper Res"},{"key":"710_CR11","unstructured":"Deb K,Jain S. (2002). Running performance metrics for evolutionary multi-objective optimization"},{"key":"710_CR12","doi-asserted-by":"publisher","first-page":"102112","DOI":"10.1016\/j.omega.2019.102112","volume":"98","author":"M Dehghani","year":"2021","unstructured":"Dehghani M, Abbasi B, Oliveira F (2021) Proactive transshipment in the blood supply chain: a stochastic programming approach. Omega 98:102112","journal-title":"Omega"},{"key":"710_CR13","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.engappai.2018.03.004","volume":"71","author":"M Eskandari-Khanghahi","year":"2018","unstructured":"Eskandari-Khanghahi M, Tavakkoli-Moghaddam R, Taleizadeh AA, Amin SH (2018) Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty. Eng Appl Artif Intell 71:236\u2013250","journal-title":"Eng Appl Artif Intell"},{"key":"710_CR14","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1016\/j.ijpe.2015.11.007","volume":"183","author":"B Fahimnia","year":"2017","unstructured":"Fahimnia B, Jabbarzadeh A, Ghavamifar A, Bell M (2017) Supply chain design for efficient and effective blood supply in disasters. Int J Prod Econ 183:700\u2013709","journal-title":"Int J Prod Econ"},{"issue":"1","key":"710_CR15","first-page":"1079","volume":"283","author":"M Fazli-Khalaf","year":"2017","unstructured":"Fazli-Khalaf M, Khalilpourazari S, Mohammadi M (2017) Mixed robust possibilistic flexible chance constraint optimization model for emergency blood supply chain network design. Annal Oper Res 283(1):1079\u2013109","journal-title":"Annal Oper Res"},{"issue":"16","key":"710_CR16","doi-asserted-by":"publisher","first-page":"12173","DOI":"10.1007\/s00521-019-04343-1","volume":"32","author":"SB Ghorashi","year":"2020","unstructured":"Ghorashi SB, Hamedi M, Sadeghian R (2020) Modeling and optimization of a reliable blood supply chain network in crisis considering blood compatibility using mogwo. Neural Comput Appl 32(16):12173\u201312200","journal-title":"Neural Comput Appl"},{"key":"710_CR17","doi-asserted-by":"publisher","first-page":"107389","DOI":"10.1016\/j.cie.2021.107389","volume":"158","author":"F Goodarzian","year":"2021","unstructured":"Goodarzian F, Kumar V, Ghasemi P (2021) A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network. Comput Ind Eng 158:107389","journal-title":"Comput Ind Eng"},{"key":"710_CR18","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1016\/j.apm.2017.11.004","volume":"55","author":"M Habibi-Kouchaksaraei","year":"2018","unstructured":"Habibi-Kouchaksaraei M, Paydar MM, Asadi-Gangraj E (2018) Designing a bi-objective multi-echelon robust blood supply chain in a disaster. Appl Math Model 55:583\u2013599","journal-title":"Appl Math Model"},{"key":"710_CR19","doi-asserted-by":"publisher","first-page":"103493","DOI":"10.1016\/j.engappai.2020.103493","volume":"90","author":"N Haghjoo","year":"2020","unstructured":"Haghjoo N, Tavakkoli-Moghaddam R, Shahmoradi-Moghadam H, Rahimi Y (2020) Reliable blood supply chain network design with facility disruption: a real-world application. Eng Appl Artificial Intell 90:103493","journal-title":"Eng Appl Artificial Intell"},{"key":"710_CR20","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.cor.2018.09.001","volume":"101","author":"B Hamdan","year":"2019","unstructured":"Hamdan B, Diabat A (2019) A two-stage multi-echelon stochastic blood supply chain problem. Comput Oper Res 101:130\u2013143","journal-title":"Comput Oper Res"},{"key":"710_CR21","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.cie.2018.05.051","volume":"122","author":"H Heidari-Fathian","year":"2018","unstructured":"Heidari-Fathian H, Pasandideh SHR (2018) Green-blood supply chain network design: Robust optimization, bounded objective function & lagrangian relaxation. Comput Ind Eng 122:95\u2013105","journal-title":"Comput Ind Eng"},{"key":"710_CR22","doi-asserted-by":"publisher","first-page":"100725","DOI":"10.1016\/j.seps.2019.07.001","volume":"70","author":"S-M Hosseini-Motlagh","year":"2020","unstructured":"Hosseini-Motlagh S-M, Samani MRG, Cheraghi S (2020) Robust and stable flexible blood supply chain network design under motivational initiatives. Socio-Econo Plan Sci 70:100725","journal-title":"Socio-Econo Plan Sci"},{"issue":"3","key":"710_CR23","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1007\/s12652-019-01315-0","volume":"11","author":"S-M Hosseini-Motlagh","year":"2020","unstructured":"Hosseini-Motlagh S-M, Samani MRG, Homaei S (2020) Blood supply chain management: robust optimization, disruption risk, and blood group compatibility (a real-life case). J Ambient Intell Humaniz Comput 11(3):1085\u20131104","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"710_CR24","doi-asserted-by":"publisher","first-page":"100897","DOI":"10.1016\/j.seps.2020.100897","volume":"72","author":"S-M Hosseini-Motlagh","year":"2020","unstructured":"Hosseini-Motlagh S-M, Samani MRG, Homaei S (2020) Toward a coordination of inventory and distribution schedules for blood in disasters. Socio-Econom Plan Sci 72:100897","journal-title":"Socio-Econom Plan Sci"},{"key":"710_CR25","unstructured":"Hwang C.-L, Masud A. S.\u00a0M. (2012). Multiple objective decision making-methods and applications: a state-of-the-art survey, 164. Springer Science Business Media"},{"key":"710_CR26","unstructured":"ISBT (2020). International society of blood transfusion. https:\/\/www.isbtweb.org\/working-parties\/blood-supply-management. Accessed: 2020-12-01"},{"key":"710_CR27","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.tre.2014.06.003","volume":"70","author":"A Jabbarzadeh","year":"2014","unstructured":"Jabbarzadeh A, Fahimnia B, Seuring S (2014) Dynamic supply chain network design for the supply of blood in disasters: a robust model with real world application. Trans Res Part E: Logist Trans Rev 70:225\u2013244","journal-title":"Trans Res Part E: Logist Trans Rev"},{"issue":"8","key":"710_CR28","doi-asserted-by":"publisher","first-page":"6311","DOI":"10.1007\/s00500-021-05618-3","volume":"25","author":"\u0130 Karada\u011f","year":"2021","unstructured":"Karada\u011f \u0130, Keskin ME, Yi\u011fit V (2021) Re-design of a blood supply chain organization with mobile units. Soft Comput 25(8):6311\u20136327","journal-title":"Soft Comput"},{"issue":"6","key":"710_CR29","doi-asserted-by":"publisher","first-page":"4024","DOI":"10.1016\/j.eswa.2009.09.005","volume":"37","author":"N Karimi","year":"2010","unstructured":"Karimi N, Zandieh M, Karamooz H (2010) Bi-objective group scheduling in hybrid flexible flowshop: a multi-phase approach. Expert Syst Appl 37(6):4024\u20134032","journal-title":"Expert Syst Appl"},{"issue":"1","key":"710_CR30","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s10479-017-2588-y","volume":"283","author":"S Khalilpourazari","year":"2019","unstructured":"Khalilpourazari S, Khamseh AA (2019) Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application. Ann Oper Res 283(1):355\u2013393","journal-title":"Ann Oper Res"},{"issue":"1","key":"710_CR31","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s10479-019-03437-2","volume":"289","author":"S Khalilpourazari","year":"2019","unstructured":"Khalilpourazari S, Soltanzadeh S, Weber G-W, Roy SK (2019) Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study. Annal Oper Res 289(1):123\u201352","journal-title":"Annal Oper Res"},{"key":"710_CR32","first-page":"51","volume":"9","author":"JN Kohneh","year":"2016","unstructured":"Kohneh JN, Teymoury E, Pishvaee MS (2016) Blood products supply chain design considering disaster circumstances (case study: earthquake disaster in tehran). J Ind Syst Eng 9:51\u201372","journal-title":"J Ind Syst Eng"},{"issue":"1","key":"710_CR33","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/s13753-018-0212-7","volume":"10","author":"Z-J Ma","year":"2019","unstructured":"Ma Z-J, Wang K-M, Dai Y (2019) An emergency blood allocation approach considering blood group compatibility in disaster relief operations. Int J Dis Risk Sci 10(1):74\u201388","journal-title":"Int J Dis Risk Sci"},{"issue":"2","key":"710_CR34","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10287-011-0133-z","volume":"9","author":"A Nagurney","year":"2012","unstructured":"Nagurney A, Masoumi AH, Yu M (2012) Supply chain network operations management of a blood banking system with cost and risk minimization. CMS 9(2):205\u2013231","journal-title":"CMS"},{"issue":"24","key":"710_CR35","doi-asserted-by":"publisher","first-page":"7191","DOI":"10.1080\/00207543.2015.1005766","volume":"53","author":"AF Osorio","year":"2015","unstructured":"Osorio AF, Brailsford SC, Smith HK (2015) A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making. Int J Prod Res 53(24):7191\u20137212","journal-title":"Int J Prod Res"},{"key":"710_CR36","doi-asserted-by":"publisher","first-page":"104756","DOI":"10.1016\/j.cor.2019.07.014","volume":"112","author":"A Pirab\u00e1n","year":"2019","unstructured":"Pirab\u00e1n A, Guerrero WJ, Labadie N (2019) Survey on blood supply chain management: models and methods. Comput Oper Res 112:104756","journal-title":"Comput Oper Res"},{"key":"710_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.fss.2012.04.010","volume":"206","author":"MS Pishvaee","year":"2012","unstructured":"Pishvaee MS, Razmi J, Torabi SA (2012) Robust possibilistic programming for socially responsible supply chain network design: a new approach. Fuzzy Sets Syst 206:1\u201320","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"710_CR38","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/s10479-018-2960-6","volume":"283","author":"D Rahmani","year":"2019","unstructured":"Rahmani D (2019) Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions. Ann Oper Res 283(1):613\u2013641","journal-title":"Ann Oper Res"},{"key":"710_CR39","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.tre.2017.06.004","volume":"104","author":"R Ramezanian","year":"2017","unstructured":"Ramezanian R, Behboodi Z (2017) Blood supply chain network design under uncertainties in supply and demand considering social aspects. Transp Res Part E: Logist Transp Rev 104:69\u201382","journal-title":"Transp Res Part E: Logist Transp Rev"},{"issue":"12","key":"710_CR40","doi-asserted-by":"publisher","first-page":"2804","DOI":"10.1080\/01605682.2020.1821586","volume":"72","author":"N Razavi","year":"2021","unstructured":"Razavi N, Gholizadeh H, Nayeri S, Ashrafi TA (2021) A robust optimization model of the field hospitals in the sustainable blood supply chain in crisis logistics. J Oper Res Soc 72(12):2804\u20132828","journal-title":"J Oper Res Soc"},{"issue":"3","key":"710_CR41","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1016\/j.cor.2005.03.020","volume":"34","author":"G \u015eahin","year":"2007","unstructured":"\u015eahin G, S\u00fcral H, Meral S (2007) Locational analysis for regionalization of Turkish red crescent blood services. Comput Oper Res 34(3):692\u2013704","journal-title":"Comput Oper Res"},{"issue":"1\u20132","key":"710_CR42","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1007\/s10479-017-2533-0","volume":"283","author":"F Salehi","year":"2019","unstructured":"Salehi F, Mahootchi M, Husseini SMM (2019) Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran. Ann Oper Res 283(1\u20132):679\u2013703","journal-title":"Ann Oper Res"},{"issue":"1","key":"710_CR43","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1007\/s10479-018-2873-4","volume":"283","author":"MRG Samani","year":"2019","unstructured":"Samani MRG, Hosseini-Motlagh S-M (2019) An enhanced procedure for managing blood supply chain under disruptions and uncertainties. Ann Oper Res 283(1):1413\u20131462","journal-title":"Ann Oper Res"},{"issue":"3","key":"710_CR44","first-page":"1529","volume":"21","author":"MRG Samani","year":"2020","unstructured":"Samani MRG, Hosseini-Motlagh S-M (2020) A robust framework for designing blood network in disaster relief: a real-life case. Oper Res 21(3):1529\u201368","journal-title":"Oper Res"},{"key":"710_CR45","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1016\/j.cie.2019.02.049","volume":"130","author":"MRG Samani","year":"2019","unstructured":"Samani MRG, Hosseini-Motlagh S-M, Ghannadpour SF (2019) A multilateral perspective towards blood network design in an uncertain environment: methodology and implementation. Comput Ind Eng 130:450\u2013471","journal-title":"Comput Ind Eng"},{"key":"710_CR46","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.ijdrr.2017.10.005","volume":"27","author":"MRG Samani","year":"2018","unstructured":"Samani MRG, Torabi SA, Hosseini-Motlagh S-M (2018) Integrated blood supply chain planning for disaster relief. Int J Dis Risk Reduct 27:168\u2013188","journal-title":"Int J Dis Risk Reduct"},{"key":"710_CR47","unstructured":"Schott JR (1995) Fault tolerant design using single and multicriteria genetic algorithm optimization. Technical report, Air Force Inst of Tech Wright-Patterson AFB OH"},{"key":"710_CR48","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.sepro.2012.04.004","volume":"5","author":"Y Sha","year":"2012","unstructured":"Sha Y, Huang J (2012) The multi-period location-allocation problem of engineering emergency blood supply systems. Syst Eng Proced 5:21\u201328","journal-title":"Syst Eng Proced"},{"issue":"1","key":"710_CR49","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1287\/trsc.37.1.40.12823","volume":"37","author":"Z-JM Shen","year":"2003","unstructured":"Shen Z-JM, Coullard C, Daskin MS (2003) A joint location-inventory model. Transp Sci 37(1):40\u201355","journal-title":"Transp Sci"},{"key":"710_CR50","doi-asserted-by":"publisher","first-page":"107725","DOI":"10.1016\/j.asoc.2021.107725","volume":"112","author":"H Shirazi","year":"2021","unstructured":"Shirazi H, Kia R, Ghasemi P (2021) A stochastic bi-objective simulation-optimization model for plasma supply chain in case of Covid-19 outbreak. Appl Soft Comput 112:107725","journal-title":"Appl Soft Comput"},{"issue":"11","key":"710_CR51","doi-asserted-by":"publisher","first-page":"519","DOI":"10.3390\/jrfm14110519","volume":"14","author":"A Szmelter-Jarosz","year":"2021","unstructured":"Szmelter-Jarosz A, Ghahremani-Nahr J, Nozari H (2021) A neutrosophic fuzzy optimisation model for optimal sustainable closed-loop supply chain network during Covid-19. J Risk Finance Manag 14(11):519","journal-title":"J Risk Finance Manag"},{"issue":"2","key":"710_CR52","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","journal-title":"Fuzzy Sets Syst"},{"key":"710_CR53","doi-asserted-by":"publisher","first-page":"101840","DOI":"10.1016\/j.tre.2020.101840","volume":"134","author":"C Wang","year":"2020","unstructured":"Wang C, Chen S (2020) A distributionally robust optimization for blood supply network considering disasters. Transp Res Part E: Logist Transp Rev 134:101840","journal-title":"Transp Res Part E: Logist Transp Rev"},{"issue":"3","key":"710_CR54","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1080\/24725579.2020.1776426","volume":"10","author":"EP Williams","year":"2020","unstructured":"Williams EP, Harper PR, Gartner D (2020) Modeling of the collections process in the blood supply chain: a literature review. IISE Trans Healthcare Syst Eng 10(3):200\u2013211","journal-title":"IISE Trans Healthcare Syst Eng"},{"key":"710_CR55","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ins.2017.09.046","volume":"423","author":"B Zahiri","year":"2018","unstructured":"Zahiri B, Jula P, Tavakkoli-Moghaddam R (2018) Design of a pharmaceutical supply chain network under uncertainty considering perishability and substitutability of products. Inf Sci 423:257\u2013283","journal-title":"Inf Sci"},{"issue":"7","key":"710_CR56","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1080\/00207543.2016.1262563","volume":"55","author":"B Zahiri","year":"2017","unstructured":"Zahiri B, Pishvaee MS (2017) Blood supply chain network design considering blood group compatibility under uncertainty. Int J Prod Res 55(7):2013\u20132033","journal-title":"Int J Prod Res"},{"key":"710_CR57","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.tre.2014.09.007","volume":"72","author":"B Zahiri","year":"2014","unstructured":"Zahiri B, Tavakkoli-Moghaddam R, Mohammadi M, Jula P (2014) Multi-objective design of an organ transplant network under uncertainty. Transp Res Part E: Logist Transp Rev 72:101\u2013124","journal-title":"Transp Res Part E: Logist Transp Rev"},{"issue":"23\u201324","key":"710_CR58","doi-asserted-by":"publisher","first-page":"7680","DOI":"10.1016\/j.apm.2015.04.028","volume":"39","author":"B Zahiri","year":"2015","unstructured":"Zahiri B, Torabi S, Mousazadeh M, Mansouri S (2015) Blood collection management: methodology and application. Appl Math Model 39(23\u201324):7680\u20137696","journal-title":"Appl Math Model"},{"key":"710_CR59","doi-asserted-by":"publisher","first-page":"107364","DOI":"10.1016\/j.asoc.2021.107364","volume":"106","author":"Y Zhou","year":"2021","unstructured":"Zhou Y, Zou T, Liu C, Yu H, Chen L, Su J (2021) Blood supply chain operation considering lifetime and transshipment under uncertain environment. Appl Soft Comput 106:107364","journal-title":"Appl Soft Comput"},{"issue":"2","key":"710_CR60","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler E, Deb K, Thiele L (2000) Comparison of multiobjective evolutionary algorithms: empirical results. Evol Comput 8(2):173\u2013195","journal-title":"Evol Comput"}],"container-title":["Operational Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12351-022-00710-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12351-022-00710-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12351-022-00710-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T15:18:11Z","timestamp":1666451891000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12351-022-00710-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,12]]},"references-count":60,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["710"],"URL":"https:\/\/doi.org\/10.1007\/s12351-022-00710-4","relation":{},"ISSN":["1109-2858","1866-1505"],"issn-type":[{"value":"1109-2858","type":"print"},{"value":"1866-1505","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,12]]},"assertion":[{"value":"21 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}