Title :
Generating timetables of work scales for companies using genetic algorithms
Author :
Ribeiro, G.O. ; de Campos, A.J.R. ; de O. Rech, Luciana ; Lung, L.C.
Author_Institution :
Dept. de Inf. e Estatistica, Univ. Fed. de Santa Catarina/CTC/INE, Florianopolis, Brazil
Abstract :
This paper presents a solution, based on genetic algorithm, to the problem of automatic generation of timetable of scale work for companies considering various criteria such as those observed in the availability and suitability of resources, labor law, employees personal preferences and distribution of labor demand over period. Were used as references to the needs of a call center company that needs to plan working hours in accordance with contractual requirements and the distribution of labor demand as well as possible given the above criteria.
Keywords :
call centres; genetic algorithms; personnel; resource allocation; scheduling; call center company; company work scale timetable generation; employees personal preferences; genetic algorithms; labor demand distribution; labor law; resource availability; resource suitability; working hour planning; Abstracts; Availability; Companies; Computational modeling; Genetic algorithms; Lungs; Scheduling; Genetic algorithm; rostering; scheduling; timetable; timetabling;
Conference_Titel :
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location :
Medellin
Print_ISBN :
978-1-4673-0794-9
DOI :
10.1109/CLEI.2012.6427222