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Information Journal Paper

Title

AN INTEGRATED MODEL OF PROJECT SCHEDULING AND MATERIAL ORDERING: A HYBRID SIMULATED ANNEALING AND GENETIC ALGORITHM

Pages

  19-27

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.

Cites

References

Cite

APA: Copy

ZORAGHI, NIMA, NAJAFI, AMIR ABBAS, & AKHAVAN NIAKI, SEYED TAGHI. (2012). AN INTEGRATED MODEL OF PROJECT SCHEDULING AND MATERIAL ORDERING: A HYBRID SIMULATED ANNEALING AND GENETIC ALGORITHM. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 6(1 (10)), 19-27. SID. https://sid.ir/paper/620781/en

Vancouver: Copy

ZORAGHI NIMA, NAJAFI AMIR ABBAS, AKHAVAN NIAKI SEYED TAGHI. AN INTEGRATED MODEL OF PROJECT SCHEDULING AND MATERIAL ORDERING: A HYBRID SIMULATED ANNEALING AND GENETIC ALGORITHM. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2012;6(1 (10)):19-27. Available from: https://sid.ir/paper/620781/en

IEEE: Copy

NIMA ZORAGHI, AMIR ABBAS NAJAFI, and SEYED TAGHI AKHAVAN NIAKI, “AN INTEGRATED MODEL OF PROJECT SCHEDULING AND MATERIAL ORDERING: A HYBRID SIMULATED ANNEALING AND GENETIC ALGORITHM,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 6, no. 1 (10), pp. 19–27, 2012, [Online]. Available: https://sid.ir/paper/620781/en

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