Integration of resource supply management and scheduling of construction projects using multi-objective whale optimization algorithm and NSGA-II

This study explores the intricate integration and synchronization of supplier selection with the optimal scheduling of multi-mode resource-constrained projects, which is a genuine and complex challenge prevalent in the construction industry, by proposing new multi-objective mathematical modeling con...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 28; H. 11-12; S. 6983 - 7001
Hauptverfasser:	Ghoroqi, Mahyar, Ghoddousi, Parviz, Makui, Ahmad, Shirzadi Javid, Ali Akbar, Talebi, Saeed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024 Springer Nature B.V
Schlagworte:	Artificial Intelligence Component and supplier management Computational Intelligence Computing time Construction industry Context Control Decision making Delay time Economic growth Engineering Engineering firms GDP Genetic algorithms Gross Domestic Product Heuristic Highway construction Mathematical Logic and Foundations Mathematical models Mechatronics Multiple objective analysis Net present value Optimization Optimization algorithms Planning Project management Resource scheduling Robotics Scheduling Solution space Sorting algorithms Suppliers Supply chain management Synchronism Multi-project scheduling Optimization algorithms Supply management Mathematical modeling Construction industry
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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