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
Link To Document :
بازگشت