| Summary: | 碩士 === 國立高雄第一科技大學 === 運籌管理所 === 94 === In this study, we analyze original supplies parts arriving uncertainty,
manufacturers how to planned ATP(available-to- promise) quantity , A traditional
ATP is according to MPS (Master Production Schedule) ,it is expect by previous
final inventory level as issue products finished to produce add always and take to
add. in other words, traditional ATP just calculate how much can use by not yet
used parts, and the business segments judge the acceptance of the new order or
not according to the quantity of promising amount.
But in the true production environment, various of uncertain factors will
influence each other, so that the whole supply chain and decision system with
have uncertainty, under the circumstances the decision-maker faces the uncertain
state, we difficult to explain its direction of thinks. So use the fuzzy set theory
incorporate the true uncertainty produced state in the mathematics model , it will
help decision-maker judge decision.
In this study we use two different solution step, one is maximization profit
scheduling solution another is fuzzy goal programming solution, to confer which
one weed to use in different arriving level, to know which different between each
other. Finally, in order to can use properly initially capacity we add Virtual profit to
the model, and to calculate solution.
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