Optimal batch size with learning economic production quantity model
碩士 === 國立中央大學 === 工業管理研究所 === 100 === The economic production quantity (EPQ) model has been developed for a long time. One of the assumptions is that there has a constant production rate. But in real situations, there occurs a situation is that the production rate would increase by repetitive manufa...
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| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/01486955082273449534 |
| Summary: | 碩士 === 國立中央大學 === 工業管理研究所 === 100 === The economic production quantity (EPQ) model has been developed for a long time. One of the assumptions is that there has a constant production rate. But in real situations, there occurs a situation is that the production rate would increase by repetitive manufactures. This phenomenon called effect of learning. Hence, we want to know how this effect working and how to improve the productivity in this model. These issues become the most important thing here. In this paper we discuss the traditional EPQ model with production learning.
This research’s background is that we manufacture our own products, and we want to make the efficiency profit. The objective of this research is that we want to minimize the total system cost to find the optimal production quantity. Totally we build two environments to discuss them. The first case is that the traditional EPQ model. And the second case we illustrate is that we add the learning curve with the production. Finally, we could observe the relationship between the parameters and our objectives.
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