DocumentCode :
118597
Title :
An approach to develop an effective job rotation schedule by using genetic algorithm
Author :
Mondal, Pritom Kumar ; Ahsan, A. M. M. Nazmul ; Quayum, Kismot Abdul
Author_Institution :
Dept. of Ind. Eng. & Manage., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear :
2014
fDate :
13-15 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Job rotation is a significant approach of job design used in manufacturing, assembly or any service providing system, which requires the workers to move between different tasks, at fixed or irregular periods of time. Now a days it is increasingly employed in organizations because it benefits not only the workers by preventing musculoskeletal disorder, eliminating boredom and increasing job satisfaction but also the management by increasing productivity, creating morale and loyalty in workers and decreasing turnover rate. In this paper a job rotation schedule of a construction firm has been developed by using genetic algorithm to eliminate repetitive tasks for each of the workers. This genetic algorithm has been implemented as a multi-factor algorithm since it takes into account ergonomic, competence, environmental, and physical skill factors to develop an optimum job rotation schedule. Genetic operators-crossover and mutation are used to create new solutions in each generation maintaining some conditions. Finally a case study has been conducted to validate the proposed methodology.
Keywords :
construction industry; environmental factors; ergonomics; genetic algorithms; human factors; occupational health; scheduling; assembly; boredom elimination; competence factors; construction firm; crossover operators; environmental factors; ergonomic factors; genetic algorithm; job design; job rotation schedule; job satisfaction; loyalty creation; manufacturing; morale creation; multifactor algorithm; musculoskeletal disorder prevention; mutation operators; physical skill factors; productivity; service; turnover rate; Environmental factors; Ergonomics; Genetic algorithms; Mathematical model; Multiskilling; Schedules; Scheduling; Ergonomic factor; Genetic algorithm; Job rotation schedule; Musculoskeletal (MSK) disorder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Information and Communication Technology (EICT), 2013 International Conference on
Conference_Location :
Khulna
Print_ISBN :
978-1-4799-2297-0
Type :
conf
DOI :
10.1109/EICT.2014.6777883
Filename :
6777883
Link To Document :
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