2000
DOI: 10.1080/001401300184404
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Designing safe job rotation schedules using optimization and heuristic search

Abstract: Job rotation is one method that is sometimes used to reduce exposure to strenuous materials handling; however, developing effective rotation schedules can be complex in even moderate sized facilities. The purpose of this research is to develop methods of incorporating safety criteria into scheduling algorithms to produce job rotation schedules that reduce the potential for injury. Integer programming and a genetic algorithm were used to construct job rotation schedules. Schedules were comprised of lifting task… Show more

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Cited by 105 publications
(61 citation statements)
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“…In previous works, this problem was solved using integer programming [6,[12][13][14][15][16], heuristics [17], metaheuristics such as genetic algorithms [6,12,15,[18][19][20], simulated annealing [15,21] or ant algorithms [22] or by combining integer programming and metaheuristic models [6,15]. In these studies, rotation schedules were developed for different purposes.…”
Section: Introductionmentioning
confidence: 99%
“…In previous works, this problem was solved using integer programming [6,[12][13][14][15][16], heuristics [17], metaheuristics such as genetic algorithms [6,12,15,[18][19][20], simulated annealing [15,21] or ant algorithms [22] or by combining integer programming and metaheuristic models [6,15]. In these studies, rotation schedules were developed for different purposes.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Carnahan et al (2000) develop a genetic algorithm to design schedules of rotation jobs to prevent back injuries. Carnahan´s algorithm calculates the risk level for lifting tasks in each workstation by means of the Job Severity Index ergonomic method (Liles, 1986).…”
Section: Optimization Approachesmentioning
confidence: 99%
“…Second, designers do not appreciate the stochastic nature of human/social dynamics within manufacturing systems and how this increases system complexity (Mollaghasemi et al, 1998;Azadeh, 2000;Baines and Ladbrook, 2002;Pacquet and Lin, 2003). Third, system designers assume that human variability in the performance of production is too constrained and regulated by automated/mechanical functions and job simplification to exceed the standardisations derived from time study techniques for line balancing (Carnahan et al, 2000).…”
Section: The Consideration Of Workers In Manufacturing System Designmentioning
confidence: 99%