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Information Journal Paper

Title

IMPROVING MANPOWER PERFORMANCE BY JOB ROTATION APPROACH USING CUCKOO ALGORITHM

Pages

  23-35

Abstract

 The aim of this study is to find a suitable model and solution to solve of JOB ROTATION problem in a company which has been done to reduce costs and minimize the volume of work, this study has been done in order to minimize the cost, increase productivity, which according to modeling done based on the Pixel company conditions, and its case study, it was carried out by the leading constraints, it is shown that the complexity of the problem is NP-hard, and the use of accurate methods for solving the problem is not possible within a reasonable time. To solve this problem, an evolutionary algorithm will be used, in this study the CUCKOO ALGORITHM is selected, which is coded in the MATLAB software, and CUCKOO ALGORITHM was used to solve it. And the results were compared with SIMULATED ANNEALING ALGORITHM. The results show that the CUCKOO ALGORITHM has introduced to us the most optimal solution to fit model.

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  • Cite

    APA: Copy

    JAMALI MONFARED, NASRIN, & SHEIBAT ALHAMDI, AHMAD. (2013). IMPROVING MANPOWER PERFORMANCE BY JOB ROTATION APPROACH USING CUCKOO ALGORITHM. IRANIAN JOURNAL OF PUBLIC POLICY IN MANAGEMENT, 4(9-10), 23-35. SID. https://sid.ir/paper/199052/en

    Vancouver: Copy

    JAMALI MONFARED NASRIN, SHEIBAT ALHAMDI AHMAD. IMPROVING MANPOWER PERFORMANCE BY JOB ROTATION APPROACH USING CUCKOO ALGORITHM. IRANIAN JOURNAL OF PUBLIC POLICY IN MANAGEMENT[Internet]. 2013;4(9-10):23-35. Available from: https://sid.ir/paper/199052/en

    IEEE: Copy

    NASRIN JAMALI MONFARED, and AHMAD SHEIBAT ALHAMDI, “IMPROVING MANPOWER PERFORMANCE BY JOB ROTATION APPROACH USING CUCKOO ALGORITHM,” IRANIAN JOURNAL OF PUBLIC POLICY IN MANAGEMENT, vol. 4, no. 9-10, pp. 23–35, 2013, [Online]. Available: https://sid.ir/paper/199052/en

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