DocumentCode :
1593522
Title :
MRP - production planning in agile manufacturing
Author :
Le, Vu T. ; Gunn, Bruce M. ; Nahavandi, Saeid
Author_Institution :
Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia
Volume :
2
fYear :
2004
Firstpage :
405
Abstract :
Over the years many researchers have been investigating the area of MRP production planning and still is an area of high interest today. This paper look at production planning where there is unpredictable demands due to the type of product and market a company produces for. Production planning becomes difficult when demand fluctuates unpredictably, and hence a historical sales forecast is used as the initial data for production planning. The sales from previous years, especially in a seasonal market, don´t necessarily correlate well to the current and future sales for the next year. A planner working in such environment would have himself frustrating to create a feasible production plan that not only needs to meet customer´s demands but also to built up the ´correct´ amount of stock for that peak sell season. To overcome some of these problems, This work describes a production planning methodology that can be implemented robustly and quickly. This paper has studied two multi-item lot-sizing problems. We detailed the development of the planning problem mathematically and highlight some solutions to initial problems investigated.
Keywords :
agile manufacturing; lot sizing; materials requirements planning; MRP; agile manufacturing; customer demands; historical sales forecast; multiitem lot-sizing problems; production planning; Agile manufacturing; Australia; Demand forecasting; Economic forecasting; Gunn devices; Job shop scheduling; Lot sizing; Marketing and sales; Materials requirements planning; Production planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference
Print_ISBN :
0-7803-8278-1
Type :
conf
DOI :
10.1109/IS.2004.1344781
Filename :
1344781
Link To Document :
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