Revista ELECTRO
Vol. 45 – Año 2023
Artículo
TÍTULO
Optimization of a Multi-Skilling Workforce Scheduling Problem with Answer Set Program
AUTORES
Carmen Leticia García Mata, Alma Gabriela Rivera Parra, Pedro Rafael Márquez Gutiérrez, Isidro Robledo Vega
RESUMEN
Palabras Clave:
ABSTRACT
This paper presents an optimized scheduling solution to the multi-skilling workforce allocation problem for a real-world industry with multi-stage flow-shop production lines. In this industry, the production line in the study mainly includes manual assembl y operations. The performance of the production process is highly influenced by the assignment of skilled workers to different operations executed in each workstation of the production lines. There is a set of skill requirements for each workstation of the line. The workers have developed a series of scored and certified skills. The solution is based on a single objective with preferences related to the best team for each production line. The problem was modeled and solved with the knowledge representation language Answer Set Programming and the Clingo solver. The solution is of practical utility for the industry because a better-skilled team generates products of better quality with fewer customer complaints and, consequently, minor production costs.
Keywords: Scheduling Optimization , Multi -skilling Workforce Scheduling Problem, Answer Set Programming.
REFERENCIAS
CITAR COMO:
Carmen Leticia García Mata, Alma Gabriela Rivera Parra, Pedro Rafael Márquez Gutiérrez, Isidro Robledo Vega, "Optimization of a Multi-Skilling Workforce Scheduling Problem with Answer Set Program", Revista ELECTRO, Vol. 45, 2023, pp.178-183.
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