Le, Vu T., Gunn, Bruce and Nahavandi, Saeid 2004, MRP-production planning in agile manufacturing, in 2004 Second International IEEE Conference "Intelligent Systems" : proceedings : June 22-24, 2004, Varna, Bulgaria, IEEE Xplore, Piscataway, N.J., pp. 405-410.
(Some files may be inaccessible until you login with your Deakin Research Online credentials)
2004 Second International IEEE Conference "Intelligent Systems" : proceedings : June 22-24, 2004, Varna, Bulgaria
Place of publication
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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Field of Research
091099 Manufacturing Engineering not elsewhere classified
HERDC Research category
E2 Full written paper - non-refereed / Abstract reviewed
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO.
If you believe that your rights have been infringed by this repository, please contact email@example.com.