• DocumentCode
    2961323
  • Title

    Solving Employee Timetabling in a Call Center of a Telecommunications Company in Mexico with Simulated Annealing

  • Author

    Rangel-Valdez, Nelson ; Torres-Jimenez, Jose

  • Author_Institution
    Lab. de Tecnol. de Inf., CINVESTAV-Tamaulipas, Ciudad Victoria, Mexico
  • fYear
    2009
  • fDate
    9-13 Nov. 2009
  • Firstpage
    170
  • Lastpage
    175
  • Abstract
    Timetabling is a problem that arises in many application areas such as telecommunications. Call-center enterprises are companies that search for schedules that minimize the resources spent to attend customer calls. Given that the constraints to create an acceptable schedule vary from one call center to another, it is not possible to find a polynomial time algorithm that fits the requirements of all cases. In this paper is presented a case of study of the employee timetabling in a call center (ETCC) of a telecommunications company in Mexico. ETCC instances were solved using an implementation of a simulated annealing (SA) algorithm. The best values for the parameters of the SA were defined in a tuning phase based on covering arrays (CA). The results show an improvement of 19% between the solution achieved by the SA and a lower bound known for an instance of ETCC problem.
  • Keywords
    call centres; computational complexity; personnel; simulated annealing; telecommunication services; call center enterprises; covering arrays; employee timetabling; polynomial time algorithm; simulated annealing; telecommunications company; Artificial intelligence; Companies; Design for experiments; Job shop scheduling; Laboratories; Personnel; Phased arrays; Polynomials; Resource management; Simulated annealing; call center; real world instances; simulated annealing; timetabling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. MICAI 2009. Eighth Mexican International Conference on
  • Conference_Location
    Guanajuato
  • Print_ISBN
    978-0-7695-3933-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2009.14
  • Filename
    5372699