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An optimization software to solve employee timetabling problems: OPTIHPER

  • Autores: Pilar Tormos, Antonio Lova Ruiz Árbol académico, Federico Barber Sanchís Árbol académico
  • Localización: XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas / coord. por Daniel Borrajo Millán Árbol académico, Luis Castillo Vidal Árbol académico, Juan Manuel Corchado Rodríguez Árbol académico, Vol. 2, 2007, ISBN 978-84-611-8848-2, págs. 309-319
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Employee Timetabling is the operation of assigning employees to taks in a set of shifts during a period of time. There is a wide set of constraints to meet concerning shift rotation, workers demand, qualification degree, etc. and a multi-objective function to be optimized. The main objective is to determine the best assignment that verifies the constraints and maximizes the tasks assigned simultaneously considering a wide set of workers' and organizational preferences. OPTIHPER is a software system which, integrating advanced heuristic AI/OR techniques, is able to obtain optimized solutions to real-world problems with a wide set of very complex constraints and a multicriteria objective function. A customized version of this system is used with very satisfactory results by a Spanish leading distribution company involving a staff of over 55,000 workers distributed in more than 1,000 centres.


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