Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes
We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute deviations of ergonomic risk. Through a case s...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/88625 |
| Acceso en línea: | https://hdl.handle.net/2117/88625 https://dx.doi.org/10.1080/18756891.2016.1204125 |
| Access Level: | acceso abierto |
| Palabra clave: | Assembly-line balancing Ergonomics GRASP Assembly line balancing Ergonomic risk Mixed Integer Linear Programming Treball en cadena Ergonomia Àrees temàtiques de la UPC::Economia i organització d'empreses |
| Sumario: | We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute deviations of ergonomic risk. Through a case study we compare the results of the two models by two different resolution procedures: the Mixed Integer Linear Programming (MILP) and Greedy Randomized Adaptive Search Procedures (GRASP). Although linear programming offers best solution, the results given by GRASPs are competitive. |
|---|