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Thus, the current study proposes an integrated approach to facilitate the procurement planning of construction materials following a large-scale disaster. The proposed approach clustered the location of construction projects using a differential evolution (DE)-K-prototypes, a new partitional clustering algorithm based on DE and K-prototypes, method. Then, using a permanent matrix prioritises cluster points based on route reliability-affecting factors. The model\u2019s objectives are to minimise the total travel time, maximise the reliability of the route, and minimise the total weighted undelivered materials to projects. In the case of distribution of material through land vehicles, the possibility of breakdowns in the vehicle is considered, allowing for the determination of vehicle breakdown under various scenarios and the minimisation of undelivered materials to projects. As a result of the uncertain character of the disaster, the demands of construction projects are fuzzy, and Jimenez\u2019s method is used to handle it. Due to the complexity of the problem, two algorithms are proposed, a multi-objective evolutionary algorithm based on decomposition (MOEA\/D) and a non-dominated sorting genetic algorithm-II (NSGA-II). The results confirm that the proposed MOEA\/D has a higher accuracy while NSGA-II has a shorter computational time. By providing new theoretical perspectives on disaster recovery strategies in the construction sector, this study contributes to the growing body of knowledge about disaster recovery strategies in the sector. The findings of this study can be employed to develop an integrated planning system for the delivery of construction materials to post-disaster reconstruction projects in disaster-prone countries.<\/jats:p>","DOI":"10.1093\/jcde\/qwac042","type":"journal-article","created":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T11:14:32Z","timestamp":1651662872000},"page":"1135-1156","source":"Crossref","is-referenced-by-count":14,"title":["Developing an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects"],"prefix":"10.1093","volume":"9","author":[{"given":"Zahra","family":"Gharib","sequence":"first","affiliation":[{"name":"School of Industrial Engineering, College of Engineering, University of Tehran , Tehran 1439957131, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9462-5439","authenticated-orcid":false,"given":"Maziar","family":"Yazdani","sequence":"additional","affiliation":[{"name":"School of Civil & Environmental Engineering, University of New South Wales , Sydney 2052, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1180-9572","authenticated-orcid":false,"given":"Ali","family":"Bozorgi-Amiri","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering, College of Engineering, University of Tehran , Tehran 1439957131, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6757-926X","authenticated-orcid":false,"given":"Reza","family":"Tavakkoli-Moghaddam","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering, College of Engineering, University of Tehran , Tehran 1439957131, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Javad","family":"Taghipourian","sequence":"additional","affiliation":[{"name":"Department of Business Management, Chalous Branch, Islamic Azad University , Chalous 46615\/397, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"2022070406563617600_bib1","doi-asserted-by":"crossref","first-page":"100878","DOI":"10.1016\/j.seps.2020.100878","article-title":"Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups","volume":"72","author":"Abioye","year":"2020","journal-title":"Socio-Economic Planning Sciences"},{"key":"2022070406563617600_bib2","doi-asserted-by":"crossref","first-page":"108253","DOI":"10.1016\/j.ress.2021.108253","article-title":"Optimizing strategies for post-disaster reconstruction of school systems","volume":"219","author":"Alisjahbana","year":"2022","journal-title":"Reliability Engineering & System Safety"},{"key":"2022070406563617600_bib3","doi-asserted-by":"crossref","DOI":"10.1007\/s10489-021-02944-9","article-title":"A closed-loop supply chain configuration considering environmental impacts: A self-adaptive NSGA-II algorithm","author":"Babaeinesami","year":"2022","journal-title":"Applied Intelligence"},{"key":"2022070406563617600_bib4","doi-asserted-by":"crossref","first-page":"3392","DOI":"10.3390\/su13063392","article-title":"Application of system thinking and factors interrelationship analysis to identify primary success factors of post-natural disaster recovery projects","volume":"13","author":"Bahmani","year":"2021","journal-title":"Sustainability"},{"key":"2022070406563617600_bib5","doi-asserted-by":"crossref","first-page":"647","DOI":"10.3390\/buildings11120647","article-title":"Comprehensive success evaluation framework for socio-natural disaster recovery projects","volume":"11","author":"Bahmani","year":"2021","journal-title":"Buildings"},{"key":"2022070406563617600_bib6","doi-asserted-by":"crossref","DOI":"10.1007\/s11069-022-05328-5","article-title":"A conceptual framework for integrated management of disasters recovery projects","author":"Bahmani","year":"2022","journal-title":"Natural Hazards"},{"key":"2022070406563617600_bib7","doi-asserted-by":"crossref","first-page":"678","DOI":"10.3390\/ijerph19020678","article-title":"Why do communities recover differently after socio-natural disasters? 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