A multi-criteria genetic algorithm for the generation of job rotation schedules

Diego-Más, José Antonio; Asensio-Cuesta, Sabina; Sanchez-Romero, M.A.; Artacho-Ramírez, Miguel-Ángel

doi:10.1016/j.ergon.2008.07.009

Cited by 39 publications

(34 citation statements)

References 27 publications

(31 reference statements)

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“…Within the evolutionary computation algorithms, GA is especially efficient at solving combinatorial optimization problems. GA provides reasonable solutions to the job rotation scheduling problem without excessive computing time [12,20]. GA performs a guided stochastic search by constructing the evolution of certain structures (called individuals) that represent the solutions to the problem.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In other words, the model should consider the jobs assigned to the worker in previous rotations to avoid fatigue accumulation. For this end the procedure described in Diego-Mas et al [20] was used. The procedure consists of changing the ergonomic scores of the worker to obtain a different value for each rotation in a way that it reflects the effects of the tasks performed in previous rotations (the values of the job scores will be constant in all the rotations).…”

Section: Fitness Assessmentmentioning

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%

“…al. [20] presented a genetic algorithm for the generation of rotation schedules to prevent the accumulation of fatigue caused by repetitive motion. Azizi et al [6] studied the effect of job rotation on worker's skill learning and forgetting.…”

Section: Introductionmentioning

confidence: 99%

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A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria

Asensio-Cuesta

Diego-Más

Dáros

et al. 2011

Int J Adv Manuf Technol

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Job rotation is an organizational strategy increasingly used in manufacturing systems as it provides benefits to both workers and management in an organization. Job rotation prevents musculoskeletal disorders, eliminates boredom and increases job satisfaction and morale. As a result, the company gains a skilled and motivated workforce, which leads to increases in productivity, employee loyalty and decreases in employee turnover. A multi-criteria genetic algorithm is employed to generate job rotation schedules, with considering the most adequate employeejob assignments to prevent musculoskeletal disorders caused by accumulation of fatigue. The algorithm provides the best adequacy available between workers and the competences needed for performing the tasks. The design of the rotation schedules is based not only on ergonomic criteria but also on issues related to product quality and employee satisfaction. The model includes the workers' competences as a measure for the goodness of solutions.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Fitness Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria

Asensio-Cuesta

Diego-Más

Dáros

et al. 2011

Int J Adv Manuf Technol

Self Cite

View full text Add to dashboard Cite

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“…In the absence of this evidence, the most appropriate approach is to use the systematisation of studies 10. To meet these goals, job rotation implementation in a manufacturing industry must include: acceptance and involvement of managers and workers; assessment of the job characteristics (demands, biomechanical exposure levels, autonomy) and the production method; choosing the number of employees per task; and definition of criteria and parameters that will be used to generate a job rotation schedule 1 11 12. Training all workers according to their competences before implementing job rotation is also important 8…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of job rotation for preventing work-related musculoskeletal diseases: a cluster randomised controlled trial

Comper

Dennerlein

Evangelista³

et al. 2017

Occup Environ Med

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A Genetic Algorithm to Design Job Rotation Schedules with Low Risk Exposure

Rodrigues¹,

Gamboa²,

Mollaei³

et al. 2020

IFIP Advances in Information and Communication Technology

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In automotive industries, the manufacturing processes are characterized by repetitive tasks and physically demanding work, with possible long-term implications on the musculoskeletal health of the workers. One key organizational strategy that provides an improvement in the prevention of musculoskeletal disorders are job rotation schedules. These are usually designed manually, being (1) time demanding and (2) a subjective evaluation of the schedule's risk. In this work, a genetic algorithm is presented, to generate automatically a daily job rotation schedule. The quality of the schedule is based on objective scores as-signed to workstations by the European Assembly Worksheet (EAWS) risk screening tool, guiding the algorithm in reaching a final solution that promotes schedules with lower exposure to the sequence of workstations assigned to each worker of the team. The schedules generated by the algorithm were compared to schedules designed by the team leaders and presented a better overall result.

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A multi-criteria genetic algorithm for the generation of job rotation schedules

Cited by 39 publications

References 27 publications

A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria

A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria

Effectiveness of job rotation for preventing work-related musculoskeletal diseases: a cluster randomised controlled trial

A Genetic Algorithm to Design Job Rotation Schedules with Low Risk Exposure

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