Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm
Although the construction industry, especially because of its relationship with other economic sectors, is one of the most important sectors that plays a key role in a country's economic growth, the construction supply chain has been considered less attention. Therefore, construction supply cha...
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| Format: | Article |
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Allameh Tabataba'i University Press
2021-06-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
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| Online Access: | https://jims.atu.ac.ir/article_12888_fa2767301f2d20b9c8c0f26a322af41d.pdf |
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| author | Hêriş Golpîra Erfan Babaee Tirkolaee Mohammad Taghi Taghavifard Fayegh Zaheri |
| author_facet | Hêriş Golpîra Erfan Babaee Tirkolaee Mohammad Taghi Taghavifard Fayegh Zaheri |
| author_sort | Hêriş Golpîra |
| collection | DOAJ |
| description | Although the construction industry, especially because of its relationship with other economic sectors, is one of the most important sectors that plays a key role in a country's economic growth, the construction supply chain has been considered less attention. Therefore, construction supply chain network design is of great importance for not only the companies but also governments. Thus, presenting an original mixed integer linear programming model, this paper introduces an optimal framework for a multi-project multi-resource multi-supplier construction supply chain network design for large construction companies with a decentralized procurement strategy. The main objective is to design a reliable supply chain model based on the quality of projects under the certain predefined budget, considering the entire supply chain as a single entity. Using a bi-objective approach to formulate the chain and the Lp-metric approach to solve the problem, make it possible to obtain a single-objective structural framework to reliability-quality trade-off consideration. To solve the problem in small and medium scales, GAMS software is employed, and a hybrid algorithm based on Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm is developed to solve the large-scaled problem. The results show the capability of the model to attain optimal size of the chain as well as the quality-reliability trade-off considering a pre-specified budget. And, to the best of authors knowledge this is the first to obtain such a structured integrated framework in the construction supply chain. |
| first_indexed | 2024-03-08T17:20:59Z |
| format | Article |
| id | doaj.art-95c52a03f4854485bed5ff3ae2ebc27d |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:20:59Z |
| publishDate | 2021-06-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-95c52a03f4854485bed5ff3ae2ebc27d2024-01-03T04:46:10ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2021-06-011961659310.22054/jims.2021.44871.235412888Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic AlgorithmHêriş Golpîra0Erfan Babaee Tirkolaee1Mohammad Taghi Taghavifard2Fayegh Zaheri3Assistant Professor, Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, IranInstructor, Department of Industrial Engineering Mazandaran University of Science and Technology, Babol, IranAssociate Professor, Department of Industrial Management, Allameh Tabataba'i University, TehranAssistant Professor, Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, IraAlthough the construction industry, especially because of its relationship with other economic sectors, is one of the most important sectors that plays a key role in a country's economic growth, the construction supply chain has been considered less attention. Therefore, construction supply chain network design is of great importance for not only the companies but also governments. Thus, presenting an original mixed integer linear programming model, this paper introduces an optimal framework for a multi-project multi-resource multi-supplier construction supply chain network design for large construction companies with a decentralized procurement strategy. The main objective is to design a reliable supply chain model based on the quality of projects under the certain predefined budget, considering the entire supply chain as a single entity. Using a bi-objective approach to formulate the chain and the Lp-metric approach to solve the problem, make it possible to obtain a single-objective structural framework to reliability-quality trade-off consideration. To solve the problem in small and medium scales, GAMS software is employed, and a hybrid algorithm based on Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm is developed to solve the large-scaled problem. The results show the capability of the model to attain optimal size of the chain as well as the quality-reliability trade-off considering a pre-specified budget. And, to the best of authors knowledge this is the first to obtain such a structured integrated framework in the construction supply chain.https://jims.atu.ac.ir/article_12888_fa2767301f2d20b9c8c0f26a322af41d.pdfmixed integer linear programmingconstruction supply chainmulti-objective optimizationquantitative mathematical modelshybrid genetic algorithm |
| spellingShingle | Hêriş Golpîra Erfan Babaee Tirkolaee Mohammad Taghi Taghavifard Fayegh Zaheri Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī mixed integer linear programming construction supply chain multi-objective optimization quantitative mathematical models hybrid genetic algorithm |
| title | Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm |
| title_full | Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm |
| title_fullStr | Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm |
| title_full_unstemmed | Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm |
| title_short | Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm |
| title_sort | multi project optimal scheduling considering reliability and quality within the construction supply chain a hybrid genetic algorithm |
| topic | mixed integer linear programming construction supply chain multi-objective optimization quantitative mathematical models hybrid genetic algorithm |
| url | https://jims.atu.ac.ir/article_12888_fa2767301f2d20b9c8c0f26a322af41d.pdf |
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