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Concurrent project scheduling and material planning: a genetic algorithm approach

Sheikh Sajadieh, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. Scheduling projects incorporated with materials ordering results in a more realistic problem. This paper deals with the combined problem of project scheduling and material ordering. The purpose of this paper is to minimize the total cost of this problem by determining the optimal values of activity duration, activity finish time and the material ordering schedule subject to constraints. We employ a genetic algorithm approach to solve it. Elements of the algorithm, such as chromosome structure, unfitness function, crossover, mutation and local search operations are explained. The results of the experimentation are quite satisfactory
  4. Keywords:
  5. Material ordering ; Activity duration ; Chromosome structure ; Finish time ; Genetic algorithm approach ; Local search operation ; Optimal values ; Project scheduling ; Total costs ; Unfitness function ; Materials ; Scheduling algorithms ; Chromosome ; Genetic algorithm ; Mutation
  6. Source: Scientia Iranica ; Volume 16, Issue 2 E , 2009 , Pages 91-99 ; 10263098 (ISSN)
  7. URL: http://scientiairanica.sharif.edu/article_3289.html