| Autor: |
D. K. Harrison, J. Ardon-Finch, J. G. Qi, D. J. Stockton |
| Rok vydání: |
2001 |
| Předmět: |
|
| Zdroj: |
Developments in Soft Computing ISBN: 9783790813616 |
| DOI: |
10.1007/978-3-7908-1829-1_27 |
| Popis: |
A major aim of manufacturers is to consider reducing the related machine process cost. A higher level cost estimate is normally taken into account as a guidance when establishing production plans and in addition help balance machine loading and minimise penalty costs. Practical machine process cost estimation relies heavily upon past experiential knowledge, which often leads to inaccurate estimates, and can make cost engineers incapable of achieving an estimation while the number of machines and operations increase. In this research, a genetic algorithm for estimating machine process cost is addressed, it is capable of providing a minimum machine process cost estimation according to the predicted production demand and available machine capability. The objective of this research is to provide an effective tool to assist a cost engineer for generating an optimal and accurate cost estimation in order to reduce unnecessary penalty costs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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