A Multi-Objective Mathematical Programming Model for Project-Scheduling Optimization Considering Customer Satisfaction in Construction Projects

The aim of this study was to develop a multi-objective mathematical programming model for the trade-off of time, cost, and quality in the project-scheduling problem (PSP) by taking priorities and resource constraints as well as activity preemption into account. First, a small-sized problem instance...

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Vydáno v:	Mathematics (Basel) Ročník 12; číslo 2; s. 211
Hlavní autoři:	Zohrehvandi, Mehrnoosh, Zohrehvandi, Shakib, Khalilzadeh, Mohammad, Amiri, Maghsoud, Jolai, Fariborz, Zavadskas, Edmundas Kazimieras, Antucheviciene, Jurgita
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.01.2024
Témata:	activity preemption Algorithms Cost analysis Customer satisfaction Heuristic methods Integer programming Linear programming Mathematical models Mathematical programming Mechanical properties multi-objective optimization model Multiple objective analysis NSGA-II Optimization Parameter sensitivity Production planning project planning Research methodology Scheduling Sensitivity analysis time, cost, and quality trade-off Tradeoffs Iran
ISSN:	2227-7390, 2227-7390
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Abstract	The aim of this study was to develop a multi-objective mathematical programming model for the trade-off of time, cost, and quality in the project-scheduling problem (PSP) by taking priorities and resource constraints as well as activity preemption into account. First, a small-sized problem instance that was a sub-project of an oil and gas construction project was used for te validation of the proposed model and algorithm. Subsequently, considering the sensitivity, complexity, and importance of oil and gas projects, the proposed model was implemented in a large-sized oil and gas construction project. Considering the NP-hardness of this problem, the NSGA-II metaheuristic algorithm was used to deal with the time, cost, and quality trade-off problem. Finally, a sensitivity analysis was implemented on the three main parameters of time, cost, and quality to investigate the effects of changes on the results. The findings show that the proposed model is more sensitive to cost changes, so an increase in project costs leads to a drastic change in the values of other objective functions.
AbstractList	The aim of this study was to develop a multi-objective mathematical programming model for the trade-off of time, cost, and quality in the project-scheduling problem (PSP) by taking priorities and resource constraints as well as activity preemption into account. First, a small-sized problem instance that was a sub-project of an oil and gas construction project was used for te validation of the proposed model and algorithm. Subsequently, considering the sensitivity, complexity, and importance of oil and gas projects, the proposed model was implemented in a large-sized oil and gas construction project. Considering the NP-hardness of this problem, the NSGA-II metaheuristic algorithm was used to deal with the time, cost, and quality trade-off problem. Finally, a sensitivity analysis was implemented on the three main parameters of time, cost, and quality to investigate the effects of changes on the results. The findings show that the proposed model is more sensitive to cost changes, so an increase in project costs leads to a drastic change in the values of other objective functions.
Audience	Academic
Author	Khalilzadeh, Mohammad Antucheviciene, Jurgita Amiri, Maghsoud Zohrehvandi, Shakib Zavadskas, Edmundas Kazimieras Zohrehvandi, Mehrnoosh Jolai, Fariborz
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Cites_doi	10.1016/j.cor.2019.05.004 10.1007/s10668-022-02370-y 10.1287/opre.9.3.296 10.1016/j.autcon.2018.09.009 10.1016/S0263-7863(98)00043-X 10.1016/j.eswa.2023.121660 10.3390/sym13122402 10.1016/j.ejor.2019.02.030 10.1061/(ASCE)CO.1943-7862.0001451 10.1080/00207543.2022.2074322 10.1007/978-3-030-24835-2 10.1016/0377-2217(94)00202-9 10.3390/su131910922 10.1016/j.eswa.2013.08.081 10.1016/j.aci.2014.02.003 10.1108/ECAM-02-2021-0177 10.1287/mnsc.20.6.990 10.1016/j.ijproman.2011.05.004 10.1016/j.jngse.2017.04.033 10.3390/sym12040594 10.1108/JEDT-11-2020-0463 10.3390/su10030680 10.1007/s12667-019-00374-8 10.1080/09544120050135533 10.1061/(ASCE)0733-9364(2005)131:4(477) 10.1016/j.eswa.2014.11.032
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SubjectTerms	activity preemption Algorithms Cost analysis Customer satisfaction Heuristic methods Integer programming Linear programming Mathematical models Mathematical programming Mechanical properties multi-objective optimization model Multiple objective analysis NSGA-II Optimization Parameter sensitivity Production planning project planning Research methodology Scheduling Sensitivity analysis time, cost, and quality trade-off Tradeoffs
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