Optimizing time, cost and quality in multi-mode resource-constrained project scheduling

PurposeThe purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment.Design/methodology/approachA case study approach identified the activity execution modes in building construction projects in India to sup...

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Veröffentlicht in:Built environment project and asset management Jg. 9; H. 1; S. 44 - 63
Hauptverfasser: Marimuthu Kannimuthu, Raphael, Benny, Ekambaram Palaneeswaran, Ananthanarayanan Kuppuswamy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bingley Emerald Group Publishing Limited 05.03.2019
Schlagworte:
Algorithms
Business metrics
Case studies
Construction
Construction costs
Construction industry
Costs
Critical path
Heuristic
Highway construction
Integer programming
Linear programming
Multiple objective analysis
Objectives
Optimization
Pareto optimization
Pareto optimum
Project engineering
Project management
Quality
Resource scheduling
Schedules
Scheduling
ISSN:2044-124X, 2044-1258
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Zusammenfassung:PurposeThe purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment.Design/methodology/approachA case study approach identified the activity execution modes in building construction projects in India to support multi-mode resource-constrained project scheduling. The data required to compute time, cost and quality of each activity are compiled from real construction projects. A binary integer-programming model has been developed to perform multi-objective optimization and identify Pareto optimal solutions. The RR-PARETO3 algorithm was used to identify the best compromise trade-off solutions. The effectiveness of the proposed framework is demonstrated through sample case study projects.FindingsResults show that good compromise solutions are obtained through multi-objective optimization of time, cost and quality.Research limitations/implicationsCase study data sets were collected only from eight building construction projects in India.Practical implicationsIt is feasible to adopt multi-objective optimization in practical construction projects using time, cost and quality as the objectives; Pareto surfaces help to quantify relationships among time, cost and quality. It is shown that cost can be reduced by increasing the duration, and quality can be improved only by increasing the cost.Originality/valueThe use of different activity execution modes compiled from multiple projects in optimization is illustrated, and good compromise solutions for the multi-mode resource-constrained project scheduling problems using multi-objective optimization are identified.
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ISSN:2044-124X
2044-1258
DOI:10.1108/BEPAM-04-2018-0075