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The discrete time-cost-quality trade-off problem using a novel hybrid genetic algorithm

Shahsavari Pour, N ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. Time, cost and quality are among the major objectives of any project. In recent years, the demands of project stakeholders regarding reductions in the total cost and time of a project along with achieving the desirable quality of the project have risen significantly. This leads researchers to developing models that incorporate the quality factor to previously existing time-cost trade-off models. This study presents a model for the discrete time-cost-quality trade-off problem. In this model there are a number of execution modes to select for each activity, and the best execution mode (t, c, q) of the activities should be determined to optimize total cost and time objectives, subjected to project quality and other constraints. To solve the model, a new meta-heuristic algorithm called NHGA is introduced. This algorithm is much more efficient than classic genetic algorithm (GA) for solving the above-mentioned model. By presenting a case example, the efficiency of the proposed algorithm for solving the model and its flexibility for project managers' decision making is demonstrated
  5. Keywords:
  6. Meta heuristic algorithms ; Project scheduling ; Time cost quality trade-off
  7. Source: Applied Mathematical Sciences ; Volume 4, Issue 41-44 , 2010 , Pages 2081-2094 ; 1312885X (ISSN)
  8. URL: http://www.m-hikari.com/ams/ams-2010/ams-41-44-2010/shahsavariAMS41-44-2010.pdf