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

Mehrnoosh Zohrehvandi, Shakib Zohrehvandi, Mohammad Khalilzadeh, Maghsoud Amiri, Fariborz Jolai, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Article number211
JournalMathematics
Volume12
Issue number2
DOIs
StatePublished - Jan 2024
Externally publishedYes

Keywords

  • activity preemption
  • customer satisfaction
  • multi-objective optimization model
  • NSGA-II
  • project planning
  • sensitivity analysis
  • time, cost, and quality trade-off

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