• DocumentCode
    2516349
  • Title

    Data mining in production planning and scheduling: A review

  • Author

    Ismail, Ruhaizan ; Othman, Zalinda ; Bakar, Afarulrazi Abu

  • Author_Institution
    Fac. of Inf. Sci. & Technol, Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2009
  • fDate
    27-28 Oct. 2009
  • Firstpage
    154
  • Lastpage
    159
  • Abstract
    The paper reviews about the data mining tasks and methods, and its application in production planning and scheduling. Data mining will be reviewed in four classifications of data mining systems according to the kinds of databases mined, knowledge to discover, techniques utilized and the applications adapted. This paper also reviews in production planning and scheduling that focused in time frame range either short- to mid-range or long-range planning. In production planning, there are a lot of planning such as process planning, strategic capacity planning, aggregate planning, master scheduling, material requirements planning and order scheduling. From these activities different problems are arise because of the different time, product and environment of production.
  • Keywords
    aggregate planning; capacity planning (manufacturing); data mining; master production scheduling; materials requirements planning; order processing; process planning; production engineering computing; strategic planning; aggregate planning; data mining systems; knowledge discovery; master scheduling; material requirements planning; order scheduling; process planning; production planning; production scheduling; strategic capacity planning; Capacity planning; Data mining; Job shop scheduling; Materials requirements planning; Multimedia databases; Predictive models; Process planning; Production planning; Relational databases; Transaction databases; data mining; production planning; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining and Optimization, 2009. DMO '09. 2nd Conference on
  • Conference_Location
    Kajand
  • Print_ISBN
    978-1-4244-4944-6
  • Type

    conf

  • DOI
    10.1109/DMO.2009.5341895
  • Filename
    5341895