Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry

Sana, Shib Sankar; Ospina-Mateus, Holman; Arrieta, Fabián Gazabón; Acevedo-Chedid, Jaime

doi:10.1007/s12652-018-0814-3

Cited by 46 publications

(23 citation statements)

References 57 publications

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“…Like RULA, its main goal is to produce a single number (index) to assess the severity of the ergonomic hazard. Sana et al (Sana et al 2019) used both RULA and OCHRA as inputs to a genetic algorithm in order to optimize the workplace and the task rotation that a worker should do in a virtual environment.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment

Menychtas

Glushkova

Manitsaris

2020

J Ambient Intell Human Comput

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During an eight-hour shift, an industrial worker will inevitably cycle through specific postures. Those postures can cause microtrauma on the musculoskeletal system that accumulates, which in turn can lead to chronic injury. To assess how problematic a posture is, the rapid upper limb assessment (RULA) scoring system is widely employed by the industry. Even though it is a very quick and efficient method of assessment, RULA is not a biomechanics-based measurement that is anchored in a physical parameter of the human body. As such RULA does not give a detailed description of the impact each posture has on the human joints but rather, an overarching, simplified assessment of a posture. To address this issue, this paper proposes the use of joint angles and torques as an alternative way of ergonomics evaluation. The cumulative motion and torque throughout a trial is compared with the average motions and torques for the same task. This allows the evaluation of each joint's kinematic and kinetic performance while still be able to assess a task"at-a-glance". To do this, an upper human body model was created and the mass of each segment were assigned. The joint torques and the RULA scores were calculated for simple range of motion (ROM) tasks, as well as actual tasks from a TV assembly line. The joint angles and torques series were integrated and then normalized to give the kinematic and kinetic contribution of each joint during a task as a percentage. This made possible to examine each joint's strain during each task as well as highlight joints that need to be more closely examined. Results show how the joint angles and torques can identify which joint is moving more and which one is under the most strain during a task. It was also possible to compare the performance of a task with the average performance and identify deviations that may imply improper execution. Even though the RULA is a very fast and concise assessment tool, it leaves little room for further analyses. However, the proposed work suggests a richer alternative without sacrificing the benefit of a quick evaluation. The biggest limitation of this work is that a pool of proper executions needs to be recorded for each task before individual comparisons can be done.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Section: Introductionmentioning

confidence: 99%

Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment

Menychtas

Glushkova

Manitsaris

2020

J Ambient Intell Human Comput

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“…Given a set of workers and workstations, obtaining an optimal rotation schedule according to some criteria is a combinatorial optimization problem. Although there are some other techniques applied to the resolution of this kind of problems, such as Integer Programming [9,10,29], one the most common ways to obtain good solutions in short times is using heuristics and metaheuristics like genetic algorithms or tabu search [25,[30][31][32][33][34][35][36][37]. This paper presents RGA, an evolutionary algorithm [38] to generate job rotation schedules aimed to prevent WRMDs, that simultaneously solves important organizational problems found when rotation schedules are implemented in real environments.…”

Section: Introductionmentioning

confidence: 99%

Designing Cyclic Job Rotations to Reduce the Exposure to Ergonomics Risk Factors

Diego-Más

2020

IJERPH

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Job rotation is an administrative solution to prevent work-related musculoskeletal disorders that has become widespread. However, job rotation schedules development is a complex problem. This is due to the multi-factorial character of the disorders and to the productive and organizational constraints of the real working environments. To avoid these problems, this work presents an evolutionary algorithm to generate rotation schedules in which a set of workers rotate cyclically over a small number of jobs while reducing the potential for injury. The algorithm is able to generate rotation schedules that optimize multiple ergonomics criteria by clustering the tasks into rotation groups, selecting the workers for each group, and determining the sequence of rotation of the workers to minimize the effects of fatigue. The algorithm reduces prolonged exposure to risks related to musculoskeletal injuries and simplifies the assignment of workers to different tasks in each rotation. The presented procedure can be an effective tool for the design of job-rotation schedules that prevent work-related musculoskeletal disorders while simplifying scheduled changeovers at each rotation and facilitating job monitoring.

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“…VI. DISCUSIÓN Según [4] muestra que ha reorganizado el 69% de los colaboradores por el criterio de ergonomía física de cada uno, tomando como parámetros de entradas para el proceso evolutivo las posiciones comunes de cada uno de ellos, frente al modelo propuesto que da como resultado la reorganización del 5.6% de colaboradores, donde el parámetro de entrada es el criterio de su hoja de vida.…”

Section: Lista De 250 Colaboradores (Coli) Con Su Valuación Respecto unclassified

“…Investigaciones referenciales encontramos en [4] donde usa algoritmo genético de criterios múltiples para la generación de horarios de rotación de trabajo, con el objetivo de diversificar las tareas realizadas durante la hora de trabajo, considerando como insumo para el cromosoma las capacidades permanentes y temporales de cada trabajador. En la investigación de [5] propone un diseño de horario de rotación laboral, considerando los criterios ergonómicos de competencia, así también [6] en su investigación presenta un hibrido de algoritmo genético con el método de búsqueda Tabú para problemas de programación flexible, donde combina estos métodos para evaluar el conjunto de tareas y que éstos conjuntos son los genes del cromosoma.…”

Section: Introductionunclassified

Modelo de Reorganización de Colaboradores Basado en Algoritmo Genético Generacional

Lujan¹,

Zegarra²

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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This article describes a model using genetic algorithm to reorganize the employee in a suitable job position of a company based on their profile (or representation of their resume). In each chromosome the collaborator profile weighting was considered and contrasted with the valuation of the position profile proposed by the representative or head of human resources of the company. Considering that the proposed model is not going to withdraw personnel, nor enter new personnel for the company, just reorganize it. To verify the functionality of the model, the profiles of the 250 collaborators were exchanged with the same 20 profiles proposed by the human resources representative obtaining 0% exchange, when the evaluation was made with their real profiles an exchange was obtained in 14 collaborators, implying 5.6% of collaborators that their profile adapts to another job, delaying for the process 6.2 seconds. This proposed model has a quadratic temporal complexity of 5n2 + 17n + 7.

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Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry

Cited by 46 publications

References 57 publications

Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment

Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment

Designing Cyclic Job Rotations to Reduce the Exposure to Ergonomics Risk Factors

Modelo de Reorganización de Colaboradores Basado en Algoritmo Genético Generacional

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