An Integrated Model of Project Scheduling and Material Ordering: A Hybrid Simulated Annealing and Genetic Algorithm
Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
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JR_JOIE-5-10_003
تاریخ نمایه سازی: 22 آبان 1397
Abstract:
This study aims to deal with a more realistic combined problem of project scheduling and material ordering. The goal is to minimize the total material holding and ordering costs by determining the starting time of activities along with material ordering schedules subject to some constraints. The problem is first mathematically modelled. Then a hybrid simulated annealing and genetic algorithm is proposed to solve it. In addition, some experiments are designed and the Taguchi method is employed to both tune the parameters of the proposed algorithm and to evaluate its performance. The results of the performance analysis show the efficiency of the proposed methodology.
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Authors
Nima Nima
M.Sc., Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Amir Abbas Najafi
Assistant Professor, Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran
Seyed Taghi Akhavan Niaki
Professor, Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran