A Framework for Time-Cost-Quality Optimization in Project Management Problems Using an Exploratory Grid Concept in the Multi-Objective Simulated-Annealing
Autor: | Alzira Mota, João Bastos, Paulo Ávila, Lino Costa, Ricardo Albuquerque |
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Rok vydání: | 2021 |
Předmět: |
business.industry
Computer science media_common.quotation_subject 0211 other engineering and technologies Analytic hierarchy process TOPSIS Context (language use) 02 engineering and technology Grid Industrial engineering 021105 building & construction Simulated annealing 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) 020201 artificial intelligence & image processing Quality (business) Project management business Realization (systems) media_common |
Zdroj: | International Journal of Information Technology & Decision Making. 20:1095-1120 |
ISSN: | 1793-6845 0219-6220 |
DOI: | 10.1142/s0219622021500322 |
Popis: | Time, cost, and quality are the three indispensable factors for the realization and success of a project. In this context, we propose a framework composed of a multi-objective approach and multi-criteria decision-making methods (MCDM) to solve time-cost-quality trade-off optimization problems. A multi-objective Simulated Annealing (MOSA) algorithm is used to compute an approximation to the Pareto optimal set. The concept of the exploratory grid is introduced in the MOSA to improve its performance. MCDM are used to assist the decision-making process. The Shannon entropy and AHP methods assign weights to criteria. The first methodology is for the inexperienced decision-makers, and the second concedes a personal and flexible weighting of the criteria weights, based on the project manager’s assessment. The TOPSIS and VIKOR methods are considered to rank the solutions. Although they have the same purpose, the rankings achieved are different. A tool is implemented to solve a time-cost-quality trade-off problem on a project activities network. The computational experiments are analyzed and the results with the exploratory grid in Simulated Annealing (SA) are promising. Despite the framework aims to solve multi-objective trade-off optimization problems, supporting the decisions of the project manager, the methodologies used can also be applied in other areas. |
Databáze: | OpenAIRE |
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