{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T05:19:04Z","timestamp":1726204744865},"reference-count":74,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Industrial Engineering"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1016\/j.cie.2021.107589","type":"journal-article","created":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T00:54:46Z","timestamp":1627952086000},"page":"107589","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":36,"special_numbering":"C","title":["Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach"],"prefix":"10.1016","volume":"160","author":[{"given":"A.","family":"Mohammed","sequence":"first","affiliation":[]},{"given":"B.","family":"Naghshineh","sequence":"additional","affiliation":[]},{"given":"V.","family":"Spiegler","sequence":"additional","affiliation":[]},{"given":"H.","family":"Carvalho","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.cie.2021.107589_b0005","first-page":"35","article-title":"An integrated fuzzy model for resilient supplier selection","volume":"7","author":"Alimohammadlou","year":"2018","journal-title":"Int. J Sup. Chain. Mgt"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0010","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.scaman.2019.01.001","article-title":"Building traits for organizational resilience through balancing organizational structures","volume":"35","author":"Andersson","year":"2019","journal-title":"Scandinavian Journal of Management"},{"issue":"6","key":"10.1016\/j.cie.2021.107589_b0015","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1111\/deci.12443","article-title":"Data analytics for operational risk management","volume":"51","author":"Araz","year":"2020","journal-title":"Decision Sciences"},{"issue":"28","key":"10.1016\/j.cie.2021.107589_b0020","article-title":"July). Green-resilient supplier selection: An integrated approach","volume":"26","author":"Azadeh","year":"2014","journal-title":"International IEEE Conference, Istanbul."},{"issue":"4","key":"10.1016\/j.cie.2021.107589_b0025","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1111\/j.0000-0000.2011.01032.x","article-title":"An empirically derived framework of global supply resiliency","volume":"32","author":"Blackhurst","year":"2011","journal-title":"Journal of business logistics"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0030","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s12159-012-0064-2","article-title":"Agile and resilient approaches to supply chain management: Influence on performance and competitiveness","volume":"4","author":"Carvalho","year":"2012","journal-title":"Logistics research"},{"key":"10.1016\/j.cie.2021.107589_b0035","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.ijinfomgt.2019.03.004","article-title":"A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing","volume":"49","author":"Cavalcante","year":"2019","journal-title":"International Journal of Information Management"},{"issue":"5","key":"10.1016\/j.cie.2021.107589_b0040","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1007\/s00170-014-6567-z","article-title":"A resilient global supplier selection strategy\u2014a case study of an automotive company","volume":"87","author":"Chen","year":"2016","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"2","key":"10.1016\/j.cie.2021.107589_b0045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/09574090410700275","article-title":"Building the Resilient Supply Chain","volume":"15","author":"Christopher","year":"2004","journal-title":"The International Journal of Logistics Management"},{"issue":"8","key":"10.1016\/j.cie.2021.107589_b0050","doi-asserted-by":"crossref","first-page":"7351","DOI":"10.1007\/s13369-019-03891-x","article-title":"Resilient supplier selection through introducing a new interval-valued intuitionistic fuzzy evaluation and decision-making framework","volume":"44","author":"Davoudabadi","year":"2019","journal-title":"Arabian Journal for Science and Engineering"},{"key":"10.1016\/j.cie.2021.107589_b0055","unstructured":"Deloitte, Building Supply Chain Resilience beyond COVID-19. (2020). Avaiable at: https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/ch\/Documents\/consumer-business\/deloitte-ch-study-building-supply-chain-resilience-covid-19-2020.pdf. Accessed March 2nd 2021."},{"key":"10.1016\/j.cie.2021.107589_b0060","unstructured":"Dun & Bradstreet, (2020). https:\/\/www.dnb.co.uk\/marketing\/media\/supplier-report-coronavirus.html?SERV=UPPCPOPER323248, accessed March 30, 2020."},{"key":"10.1016\/j.cie.2021.107589_b0065","volume":"Vol. 491","author":"Ehrgott","year":"2005"},{"issue":"11","key":"10.1016\/j.cie.2021.107589_b0070","doi-asserted-by":"crossref","first-page":"6959","DOI":"10.1007\/s00521-018-3506-1","article-title":"A new comprehensive possibilistic group decision approach for resilient supplier selection with mean\u2013variance\u2013skewness\u2013kurtosis and asymmetric information under interval-valued fuzzy uncertainty","volume":"31","author":"Foroozesh","year":"2019","journal-title":"Neural Computing and Applications"},{"key":"10.1016\/j.cie.2021.107589_b0075","unstructured":"Fortune, (2020). https:\/\/fortune.com\/2020\/02\/21\/fortune-1000-coronavirus-china-supply-chain-impact\/, accessed March 30, 2020."},{"key":"10.1016\/j.cie.2021.107589_b0080","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2019\/2456260","article-title":"Resilient supplier selection based on fuzzy BWM and GMo-RTOPSIS under supply chain environment","volume":"2019","author":"Gan","year":"2019","journal-title":"Discrete Dynamics in Nature and Society"},{"issue":"6","key":"10.1016\/j.cie.2021.107589_b0085","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1108\/SCM-10-2012-0331","article-title":"Does firm innovativeness enable effective responses to supply chain disruptions? An empirical study","volume":"18","author":"Golgeci","year":"2013","journal-title":"Supply Chain Management: An International Journal"},{"key":"10.1016\/j.cie.2021.107589_b0090","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.jclepro.2013.06.046","article-title":"Multi criteria decision making approaches for green supplier evaluation and selection: A literature review","volume":"98","author":"Govindan","year":"2015","journal-title":"Journal of Cleaner Production"},{"issue":"4","key":"10.1016\/j.cie.2021.107589_b0095","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1080\/17509653.2012.10671234","article-title":"A hybrid MCDM model for resilient supplier selection","volume":"7","author":"Haldar","year":"2012","journal-title":"International Journal of Management Science and Engineering Management"},{"issue":"2","key":"10.1016\/j.cie.2021.107589_b0100","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1080\/17509653.2013.869040","article-title":"Resilient supplier selection under a fuzzy environment","volume":"9","author":"Haldar","year":"2014","journal-title":"International Journal of Management Science and Engineering Management"},{"key":"10.1016\/j.cie.2021.107589_b0105","doi-asserted-by":"crossref","first-page":"112799","DOI":"10.1016\/j.eswa.2019.07.016","article-title":"Resilient supplier selection in logistics 4.0 with heterogeneous information","volume":"139","author":"Hasan","year":"2020","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0110","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.ejor.2009.05.009","article-title":"Multi-criteria decision making approaches for supplier evaluation and selection: A literature review","volume":"202","author":"Ho","year":"2010","journal-title":"European Journal of operational research"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0115","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s10845-016-1241-y","article-title":"A hybrid ensemble and AHP approach for resilient supplier selection","volume":"30","author":"Hosseini","year":"2019","journal-title":"Journal of Intelligent Manufacturing"},{"key":"10.1016\/j.cie.2021.107589_b0120","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.ijpe.2016.07.007","article-title":"A Bayesian network model for resilience-based supplier selection","volume":"180","author":"Hosseini","year":"2016","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2021.107589_b0125","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ijpe.2019.03.018","article-title":"Resilient supplier selection and optimal order allocation under disruption risks","volume":"213","author":"Hosseini","year":"2019","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.cie.2021.107589_b0130","doi-asserted-by":"crossref","first-page":"101922","DOI":"10.1016\/j.tre.2020.101922","article-title":"Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19\/SARS-CoV-2) case","volume":"136","author":"Ivanov","year":"2020","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"20","key":"10.1016\/j.cie.2021.107589_b0135","doi-asserted-by":"crossref","first-page":"6158","DOI":"10.1080\/00207543.2017.1330572","article-title":"Literature review on disruption recovery in the supply chain","volume":"55","author":"Ivanov","year":"2017","journal-title":"International Journal of Production Research"},{"issue":"17","key":"10.1016\/j.cie.2021.107589_b0140","doi-asserted-by":"crossref","first-page":"5945","DOI":"10.1080\/00207543.2018.1461950","article-title":"Resilient and sustainable supply chain design: Sustainability analysis under disruption risks","volume":"56","author":"Jabbarzadeh","year":"2018","journal-title":"International Journal of Production Research"},{"issue":"3","key":"10.1016\/j.cie.2021.107589_b0145","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1016\/j.ejor.2005.10.002","article-title":"Linear programming with fuzzy parameters: An interactive method resolution","volume":"177","author":"Jim\u00e9nez","year":"2007","journal-title":"European Journal of Operational Research"},{"issue":"4","key":"10.1016\/j.cie.2021.107589_b0150","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1108\/13598541111139062","article-title":"Supply chain resilience in the global financial crisis: An empirical study","volume":"16","author":"J\u00fcttner","year":"2011","journal-title":"Supply Chain Management: An International Journal."},{"key":"10.1016\/j.cie.2021.107589_b0155","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.eswa.2019.05.053","article-title":"Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study","volume":"134","author":"Kaya","year":"2019","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.cie.2021.107589_b0160","series-title":"Multi-objective optimization in theory and practice i: Classical methods","author":"Keller","year":"2017"},{"key":"10.1016\/j.cie.2021.107589_b0165","doi-asserted-by":"crossref","first-page":"113360","DOI":"10.1016\/j.dss.2020.113360","article-title":"An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection","volume":"137","author":"Kilic","year":"2020","journal-title":"Decision Support Systems"},{"issue":"18","key":"10.1016\/j.cie.2021.107589_b0170","doi-asserted-by":"crossref","first-page":"5559","DOI":"10.1080\/00207543.2019.1675919","article-title":"Ripple effect quantification by supplier risk exposure assessment","volume":"58","author":"Kinra","year":"2019","journal-title":"International Journal of Production Research"},{"issue":"8","key":"10.1016\/j.cie.2021.107589_b0175","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1108\/IJPDLM-02-2017-0099","article-title":"Supply chain resilience: A systematic literature review and typological framework","volume":"48","author":"Kochan","year":"2018","journal-title":"International Journal of Physical Distribution & Logistics Management."},{"issue":"10","key":"10.1016\/j.cie.2021.107589_b0180","first-page":"102","article-title":"The triple-A supply chain","volume":"82","author":"Lee","year":"2004","journal-title":"Harvard business review"},{"issue":"3","key":"10.1016\/j.cie.2021.107589_b0185","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.pursup.2017.01.003","article-title":"A fuzzy multi-objective programming approach for determination of resilient supply portfolio under supply failure risks","volume":"23","author":"Lee","year":"2017","journal-title":"Journal of Purchasing and Supply Management"},{"issue":"3","key":"10.1016\/j.cie.2021.107589_b0190","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.hrmr.2010.07.001","article-title":"Developing a capacity for organizational resilience through strategic human resource management","volume":"21","author":"Lengnick-Hall","year":"2011","journal-title":"Human resource management review"},{"key":"10.1016\/j.cie.2021.107589_b0195","doi-asserted-by":"crossref","first-page":"106207","DOI":"10.1016\/j.asoc.2020.106207","article-title":"A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR","volume":"91","author":"Li","year":"2020","journal-title":"Applied Soft Computing"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0200","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s10479-019-03453-2","article-title":"Leagile supplier selection in Chinese textile industries: A DEMATEL approach","volume":"287","author":"Li","year":"2020","journal-title":"Annals of Operations Research"},{"issue":"25","key":"10.1016\/j.cie.2021.107589_b0205","doi-asserted-by":"crossref","first-page":"24535","DOI":"10.1007\/s11356-017-9787-6","article-title":"A sustainable manufacturing system design: A fuzzy multi-objective optimization model","volume":"25","author":"Nujoom","year":"2018","journal-title":"Environmental Science and Pollution Research"},{"key":"10.1016\/j.cie.2021.107589_b0210","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.cie.2019.05.007","article-title":"Drafting a cost-effective approach towards a sustainable manufacturing system design","volume":"133","author":"Nujoom","year":"2019","journal-title":"Computers & Industrial Engineering"},{"issue":"8","key":"10.1016\/j.cie.2021.107589_b0215","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.3390\/su9081433","article-title":"An improved hybrid grey relational analysis approach for green resilient supply chain network assessment","volume":"9","author":"Malek","year":"2017","journal-title":"Sustainability"},{"issue":"2","key":"10.1016\/j.cie.2021.107589_b0220","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1007\/s10479-019-03167-5","article-title":"Towards a sustainable assessment of suppliers: An integrated fuzzy TOPSIS-possibilistic multi-objective approach","volume":"293","author":"Mohammed","year":"2020","journal-title":"Annals of Operations Research"},{"key":"10.1016\/j.cie.2021.107589_b0225","doi-asserted-by":"crossref","first-page":"104641","DOI":"10.1016\/j.resconrec.2019.104641","article-title":"Towards \u2018gresilient\u2019 supply chain management: A quantitative study","volume":"155","author":"Mohammed","year":"2020","journal-title":"Resources, Conservation and Recycling"},{"key":"10.1016\/j.cie.2021.107589_b0230","doi-asserted-by":"crossref","first-page":"2695","DOI":"10.3390\/su13052695","article-title":"A Hybrid MCDM Approach Towards Resilient Sourcing","volume":"13","author":"Mohammed","year":"2021","journal-title":"Sustainability."},{"issue":"2","key":"10.1016\/j.cie.2021.107589_b0235","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1108\/MD-04-2018-0478","article-title":"A trasilient decision making tool for vendor selection: A hybrid-MCDM algorithm","volume":"57","author":"Mohammed","year":"2019","journal-title":"Management Decision."},{"key":"10.1016\/j.cie.2021.107589_b0240","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.cie.2018.09.052","article-title":"A hybrid MCDM-fuzzy multi-objective programming approach for a G-resilient supply chain network design","volume":"127","author":"Mohammed","year":"2019","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2021.107589_b0245","doi-asserted-by":"crossref","first-page":"114508","DOI":"10.1016\/j.eswa.2020.114508","article-title":"Multi-criteria decision analysis towards robust service quality measurement","volume":"170","author":"Pamucar","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.cie.2021.107589_b0250","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.jclepro.2017.04.175","article-title":"A resilience approach for supplier selection: Using Fuzzy Analytic Network Process and grey VIKOR techniques","volume":"161","author":"Parkouhi","year":"2017","journal-title":"Journal of Cleaner Production"},{"key":"10.1016\/j.cie.2021.107589_b0255","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1016\/j.jclepro.2018.10.007","article-title":"Resilient supplier selection and segmentation in grey environment","volume":"207","author":"Parkouhi","year":"2019","journal-title":"Journal of Cleaner Production"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0260","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/j.2158-1592.2010.tb00125.x","article-title":"Ensuring supply chain resilience: Development of a conceptual framework","volume":"31","author":"Pettit","year":"2010","journal-title":"Journal of business logistics"},{"issue":"5","key":"10.1016\/j.cie.2021.107589_b0265","doi-asserted-by":"crossref","first-page":"921","DOI":"10.19030\/jabr.v28i5.7234","article-title":"Supply Chain Resilience? Definition of concept and its formative elements","volume":"28","author":"Ponis","year":"2012","journal-title":"The Journal of Applied Business Research"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0270","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1108\/09574090910954873","article-title":"Understanding the concept of supply chain resilience","volume":"20","author":"Ponomarov","year":"2009","journal-title":"The international journal of logistics management"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0275","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1080\/17509653.2015.1101719","article-title":"Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment","volume":"12","author":"Pramanik","year":"2017","journal-title":"International Journal of Management Science and Engineering Management"},{"issue":"7\u20138","key":"10.1016\/j.cie.2021.107589_b0280","first-page":"579","article-title":"Developing a resilient supply chain strategy during \u2018boom\u2019and \u2018bust\u2019","volume":"27","author":"Purvis","year":"2016","journal-title":"Production Planning & Control"},{"key":"10.1016\/j.cie.2021.107589_b0285","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.jclepro.2014.08.054","article-title":"Supplier selection in resilient supply chains: A grey relational analysis approach","volume":"86","author":"Rajesh","year":"2015","journal-title":"Journal of Cleaner Production"},{"key":"10.1016\/j.cie.2021.107589_b0290","doi-asserted-by":"crossref","unstructured":"Rangaiah, G. P. (Ed.). (2016).Multi-objective optimization: techniques and applications in chemical engineering(Vol. 5). world scientific.","DOI":"10.1142\/10240"},{"key":"10.1016\/j.cie.2021.107589_b0295","doi-asserted-by":"crossref","first-page":"122001","DOI":"10.1016\/j.jclepro.2020.122001","article-title":"Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-the-art","volume":"269","author":"Rashidi","year":"2020","journal-title":"Journal of Cleaner Production"},{"issue":"05","key":"10.1016\/j.cie.2021.107589_b0300","doi-asserted-by":"crossref","first-page":"1650033","DOI":"10.1142\/S0217595916500330","article-title":"A TODIM-based decision support framework for G-resilient supplier selection in fuzzy environment","volume":"33","author":"Sen","year":"2016","journal-title":"Asia-Pacific Journal of Operational Research"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0305","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1080\/00207543.2015.1076945","article-title":"The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain","volume":"54","author":"Spiegler","year":"2016","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2021.107589_b0310","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.tre.2015.03.005","article-title":"Resilient supplier selection and order allocation under operational and disruption risks","volume":"79","author":"Torabi","year":"2015","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.cie.2021.107589_b0315","series-title":"Multiple attribute decision making: Methods and applications","author":"Tzeng","year":"2011"},{"issue":"4","key":"10.1016\/j.cie.2021.107589_b0320","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1016\/j.eswa.2006.02.004","article-title":"Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL","volume":"32","author":"Tzeng","year":"2007","journal-title":"Expert systems with Applications"},{"issue":"1","key":"10.1016\/j.cie.2021.107589_b0325","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.ijpe.2011.11.026","article-title":"A framework for designing robust food supply chains","volume":"137","author":"Vlajic","year":"2012","journal-title":"International Journal of Production Economics"},{"issue":"3","key":"10.1016\/j.cie.2021.107589_b0330","doi-asserted-by":"crossref","first-page":"324","DOI":"10.18178\/ijmerr.9.3.324-328","article-title":"A MOO-EDS approach for quantifying energy consumption and CO2 emissions for manufacturing system design and evaluation","volume":"9","author":"Wang","year":"2020","journal-title":"International Journal of Mechanical Engineering and Robotics Research"},{"issue":"2","key":"10.1016\/j.cie.2021.107589_b0335","doi-asserted-by":"crossref","first-page":"289","DOI":"10.3390\/su9020289","article-title":"Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA)","volume":"9","author":"Wang","year":"2017","journal-title":"Sustainability"},{"issue":"10","key":"10.1016\/j.cie.2021.107589_b0340","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1108\/09600031211281411","article-title":"Dealing with supply chain risks","volume":"42","author":"Wieland","year":"2012","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"key":"10.1016\/j.cie.2021.107589_b0350","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.indmarman.2021.01.019","article-title":"Food waste management in the catering industry: Enablers and interrelationships","volume":"94","author":"Wu","year":"2021","journal-title":"Industrial Marketing Management"},{"issue":"11","key":"10.1016\/j.cie.2021.107589_b0355","doi-asserted-by":"crossref","first-page":"3508","DOI":"10.1080\/00207543.2020.1717011","article-title":"Disruption risks in supply chain management: A literature review based on bibliometric analysis","volume":"58","author":"Xu","year":"2020","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2021.107589_b0360","doi-asserted-by":"crossref","first-page":"115517","DOI":"10.1016\/j.eswa.2021.115517","article-title":"A novel hesitant-fuzzy-based group decision approach for outsourcing risk","volume":"184","author":"Yazdani","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.cie.2021.107589_b0365","article-title":"Multiple attribute decision making: An introduction","author":"Yoon","year":"1995","journal-title":"Sage"},{"key":"10.1016\/j.cie.2021.107589_b9000","doi-asserted-by":"crossref","DOI":"10.1016\/j.tre.2020.101838","article-title":"Coordination of a fashion supply chain with demand disruptions","volume":"134","author":"Zhao","year":"2020","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"5\u20136","key":"10.1016\/j.cie.2021.107589_b0370","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.pursup.2003.07.002","article-title":"A grounded definition of supply risk","volume":"9","author":"Zsidisin","year":"2003","journal-title":"Journal of purchasing and supply management"}],"container-title":["Computers & Industrial Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835221004939?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835221004939?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T16:54:47Z","timestamp":1675443287000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0360835221004939"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":74,"alternative-id":["S0360835221004939"],"URL":"https:\/\/doi.org\/10.1016\/j.cie.2021.107589","relation":{},"ISSN":["0360-8352"],"issn-type":[{"value":"0360-8352","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach","name":"articletitle","label":"Article Title"},{"value":"Computers & Industrial Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cie.2021.107589","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107589"}}