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Resources Deployment Optimization in Scattered Repetitive Projects
The uncertain nature of construction processes and the variability of utilized resources make resource deployment planning a complex process, specially on an organizational level. Multiple operations modes of resources add even more dimensions to the planning and decision-making process of resources deployment. In scattered short-term repetitive projects, the frequency of decisions related to resources allocation and deployment constitutes a logistics burden on any organization. Conventional Planning tools are time consuming and fall short of meeting the periodical need to update resources deployment plans required in scattered repetitive projects. This paper presents a new outlook on construction operations in scattered repetitive projects and introduces the basis of an optimization model to minimize the time and cost of these operations on an organizational level. The model utilizes Genetic Algorithms (GA) and stochastic simulations as an adaptation of two famous problems in literature: the Multiple Traveling Salesman problem (MTSP) and the Multimode Resource-Constrained Time–Cost Tradeoff Problem of Repetitive Projects (MRCTCTP-RP). The proposed model considers both aspects of resources allocation and mobility between projects in optimizing the minimum time and cost of projects on an organizational level.
Resources Deployment Optimization in Scattered Repetitive Projects
The uncertain nature of construction processes and the variability of utilized resources make resource deployment planning a complex process, specially on an organizational level. Multiple operations modes of resources add even more dimensions to the planning and decision-making process of resources deployment. In scattered short-term repetitive projects, the frequency of decisions related to resources allocation and deployment constitutes a logistics burden on any organization. Conventional Planning tools are time consuming and fall short of meeting the periodical need to update resources deployment plans required in scattered repetitive projects. This paper presents a new outlook on construction operations in scattered repetitive projects and introduces the basis of an optimization model to minimize the time and cost of these operations on an organizational level. The model utilizes Genetic Algorithms (GA) and stochastic simulations as an adaptation of two famous problems in literature: the Multiple Traveling Salesman problem (MTSP) and the Multimode Resource-Constrained Time–Cost Tradeoff Problem of Repetitive Projects (MRCTCTP-RP). The proposed model considers both aspects of resources allocation and mobility between projects in optimizing the minimum time and cost of projects on an organizational level.
Resources Deployment Optimization in Scattered Repetitive Projects
Lecture Notes in Civil Engineering
Gupta, Rishi (Herausgeber:in) / Sun, Min (Herausgeber:in) / Brzev, Svetlana (Herausgeber:in) / Alam, M. Shahria (Herausgeber:in) / Ng, Kelvin Tsun Wai (Herausgeber:in) / Li, Jianbing (Herausgeber:in) / El Damatty, Ashraf (Herausgeber:in) / Lim, Clark (Herausgeber:in) / Gad, Heba Kh. (Autor:in) / Ali, Mostafa H. (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2022 ; Whistler, BC, BC, Canada
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022 ; Kapitel: 20 ; 307-318
17.08.2023
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Construction operations , Multimode resources , Time–cost tradeoff , Repetitive scattered projects , Multiple traveling salesman , Genetic algorithms , Simulation Engineering , Building Construction and Design , Geoengineering, Foundations, Hydraulics , Transportation Technology and Traffic Engineering , Environment, general
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