{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:07:42Z","timestamp":1767650862714,"version":"3.41.2"},"reference-count":38,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2024,2,13]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This study addresses resilient mixed supply chain network design (SCND) and aims to minimize the expected total cost of the supply chain (SC) considering disruptions. The capacity of facilities is considered uncertain. In order to get closer to real-world situations, competition between SCs is considered.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>A two-stage stochastic programming model is developed for designing the SC network. The location of facilities and selection of suppliers are considered first-stage decisions, and the determination of materials and products flows are second-stage decisions. Some resilience strategies are applied to mitigate the negative impacts of disruptions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results indicate that considering resilience and applying the related strategies are vitally important, and resilience strategies can significantly improve the SC objective and maintain market share. Also, it is confirmed that unrealistic decisions will be made without considering the competition.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study contributes to the literature by proposing a novel mathematical model for the resilient mixed SCND problem. The other contribution is considering the chain-to-chain competition in collecting returned products and selling recycled products to other SCs in a mixed SC under disruptions. Also, a novel hybrid metaheuristic is developed to cope with the complexity of the model.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-04-2022-0592","type":"journal-article","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T22:31:20Z","timestamp":1670452280000},"page":"935-959","source":"Crossref","is-referenced-by-count":8,"title":["Designing a multi-period and multi-product resilient mixed supply chain network under chain-to-chain competition"],"prefix":"10.1108","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8031-8822","authenticated-orcid":false,"given":"Mohammad Mahdi","family":"Vali-Siar","sequence":"first","affiliation":[]},{"given":"Emad","family":"Roghanian","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"first-page":"13478","volume-title":"A Closed-Loop Supply Chain Configuration Considering Environmental Impacts: A Self-Adaptive NSGA-II Algorithm","year":"2022","key":"key2024021304192495400_ref001"},{"key":"key2024021304192495400_ref002","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.cie.2019.05.011","article-title":"Resilient food supply chain design: modelling framework and metaheuristic solution approach","volume":"135","year":"2019","journal-title":"Computers and Industrial Engineering"},{"year":"1992","key":"key2024021304192495400_ref003","article-title":"Optimization, learning and natural algorithms (in Italian)"},{"key":"key2024021304192495400_ref004","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1016\/j.jmsy.2015.01.005","article-title":"Competitive closed-loop supply chain network design under uncertainty","volume":"37","year":"2015","journal-title":"Journal of Manufacturing Systems"},{"issue":"7","key":"key2024021304192495400_ref005","doi-asserted-by":"crossref","first-page":"9949","DOI":"10.1007\/s10668-020-01041-0","article-title":"The design of a resilient and sustainable maximal covering closed-loop supply chain network under hybrid uncertainties: a case study in tire industry","volume":"23","year":"2021","journal-title":"Environment, Development and Sustainability"},{"issue":"1","key":"key2024021304192495400_ref006","first-page":"89","article-title":"A variational inequality formulation for designing a multi-echelon, multi-product supply chain network in a competitive environment","volume":"264","year":"2018","journal-title":"Annals of Operations Research"},{"key":"key2024021304192495400_ref007","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1016\/j.apm.2021.12.023","article-title":"A cooperative game theory approach for location-routing-inventory decisions in humanitarian relief chain incorporating stochastic planning","volume":"104","year":"2022","journal-title":"Applied Mathematical Modelling"},{"key":"key2024021304192495400_ref008","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.tre.2018.04.014","article-title":"Designing a resilient competitive supply chain network under disruption risks: a real-world application","volume":"115","year":"2018","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"key2024021304192495400_ref009","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","year":"2018","journal-title":"Journal of Cleaner Production"},{"issue":"1","key":"key2024021304192495400_ref010","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1111\/j.1937-5956.2005.tb00008.x","article-title":"An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm","volume":"14","year":"2005","journal-title":"Production and Operations Management"},{"volume-title":"Adaption in Natural and Adaptive Systems","year":"1975","key":"key2024021304192495400_ref011"},{"issue":"22","key":"key2024021304192495400_ref012","doi-asserted-by":"crossref","first-page":"6677","DOI":"10.1080\/00207543.2020.1822558","article-title":"Sourcing with recycled materials: a contingent sourcing model with supply unavailability and setup time uncertainty for ripple effect mitigation","volume":"59","year":"2021","journal-title":"International Journal of Production Research"},{"volume-title":"Introduction to Supply Chain Resilience: Management, Modelling, Technology","year":"2021","key":"key2024021304192495400_ref013"},{"key":"key2024021304192495400_ref014","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","year":"2018","journal-title":"Computers and Industrial Engineering"},{"first-page":"1942","article-title":"Particle swarm optimization","year":"1995","key":"key2024021304192495400_ref015"},{"issue":"1","key":"key2024021304192495400_ref016","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.ijpe.2010.11.026","article-title":"Multi-objective ant colony optimisation: a meta-heuristic approach to supply chain design","volume":"131","year":"2011","journal-title":"International Journal of Production Economics"},{"issue":"1","key":"key2024021304192495400_ref017","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1080\/17509653.2018.1474142","article-title":"Considering chain-to-chain competition on environmental and social concerns in a supply chain network design problem","volume":"14","year":"2019","journal-title":"International Journal of Management Science and Engineering Management"},{"issue":"8","key":"key2024021304192495400_ref018","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1016\/j.trb.2011.05.022","article-title":"Reliable logistics networks design with facility disruptions","volume":"45","year":"2011","journal-title":"Transportation Research Part B: Methodological"},{"key":"key2024021304192495400_ref019","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.jclepro.2014.07.005","article-title":"The closed-loop supply chain network with competition and design for remanufactureability","volume":"105","year":"2015","journal-title":"Journal of Cleaner Production"},{"issue":"11","key":"key2024021304192495400_ref020","doi-asserted-by":"crossref","first-page":"7421","DOI":"10.1007\/s00521-019-04260-3","article-title":"Network design for resilience in supply chains using novel crazy elitist TLBO","volume":"32","year":"2020","journal-title":"Neural Computing and Applications"},{"issue":"3","key":"key2024021304192495400_ref021","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","article-title":"Teaching\u2013learning-based optimization: a novel method for constrained mechanical design optimization problems","volume":"43","year":"2011","journal-title":"Computer-aided Design"},{"key":"key2024021304192495400_ref022","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.cie.2014.03.005","article-title":"Supply chain network design under oligopolistic price and service level competition with foresight","volume":"72","year":"2014","journal-title":"Computers and Industrial Engineering"},{"key":"key2024021304192495400_ref023","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.jclepro.2014.12.095","article-title":"Competitive closed-loop supply chain network design with price-dependent demands","volume":"93","year":"2015","journal-title":"Journal of Cleaner Production"},{"issue":"3","key":"key2024021304192495400_ref024","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.ejor.2016.11.041","article-title":"Resilient supply chain network design under competition: a case study","volume":"259","year":"2017","journal-title":"European Journal of Operational Research"},{"key":"key2024021304192495400_ref025","first-page":"79754","article-title":"Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm","volume":"19","year":"2022","journal-title":"Environmental Science and Pollution Research"},{"journal-title":"MIT Sloan Management Case Number 13\u2013150","article-title":"Nissan Motor Company Ltd: building operational resiliency","year":"2013","key":"key2024021304192495400_ref026"},{"issue":"3","key":"key2024021304192495400_ref027","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1016\/j.ejor.2006.06.046","article-title":"Ant colony optimization for continuous domains","volume":"185","year":"2008","journal-title":"European Journal of Operational Research"},{"issue":"14","key":"key2024021304192495400_ref028","doi-asserted-by":"crossref","first-page":"3990","DOI":"10.1016\/j.apm.2014.12.016","article-title":"A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks","volume":"39","year":"2015","journal-title":"Applied Mathematical Modelling"},{"key":"key2024021304192495400_ref029","article-title":"Hybrid evolutionary algorithms and Lagrangian relaxation for multi-period star hub median problem considering financial\u00a0and\u00a0service quality issues","volume":"97","year":"2021","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"key2024021304192495400_ref030","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","year":"2015","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"18","key":"key2024021304192495400_ref031","doi-asserted-by":"crossref","first-page":"5592","DOI":"10.1080\/00207543.2015.1037934","article-title":"Supply chain resilience: definition, review and theoretical foundations for further study","volume":"53","year":"2015","journal-title":"International Journal of Production Research"},{"issue":"16","key":"key2024021304192495400_ref038","first-page":"113","article-title":"Resilient mixed supply chain network redesign under operational and disruption risks: a case study","volume":"8","year":"2020","journal-title":"Journal of Industrial Engineering Research in Production Systems"},{"key":"key2024021304192495400_ref032","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.spc.2021.12.003","article-title":"Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption","volume":"30","year":"2022","journal-title":"Sustainable Production and Consumption"},{"key":"key2024021304192495400_ref033","article-title":"Literature review: strategic network optimization models in waste reverse supply chains","volume":"91","year":"2020","journal-title":"Omega"},{"key":"key2024021304192495400_ref034","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.jclepro.2019.04.130","article-title":"An integrated two-layer network model for designing a resilient green-closed loop supply chain of perishable products under disruption","volume":"230","year":"2019","journal-title":"Journal of Cleaner Production"},{"key":"key2024021304192495400_ref035","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.omega.2013.08.006","article-title":"Competitive supply chain network design: an overview of classifications, models, solution techniques and applications","volume":"45","year":"2014","journal-title":"Omega"},{"key":"key2024021304192495400_ref036","article-title":"A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies","volume":"289","year":"2021","journal-title":"Journal of Cleaner Production"},{"key":"key2024021304192495400_ref037","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","year":"2016","journal-title":"Transportation Research Part E: Logistics and Transportation Review"}],"container-title":["Kybernetes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-04-2022-0592\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-04-2022-0592\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:47:58Z","timestamp":1753393678000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/k\/article\/53\/3\/935-959\/1223585"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,9]]},"references-count":38,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,12,9]]},"published-print":{"date-parts":[[2024,2,13]]}},"alternative-id":["10.1108\/K-04-2022-0592"],"URL":"https:\/\/doi.org\/10.1108\/k-04-2022-0592","relation":{},"ISSN":["0368-492X"],"issn-type":[{"type":"print","value":"0368-492X"}],"subject":[],"published":{"date-parts":[[2022,12,9]]}}}