| Summary: | 碩士 === 東海大學 === 工業工程學系 === 90 === Researches of the traditional lot sizing and scheduling problems often neglect the marketing effects and product strategy, and only look for production decision based on production limits such as capacity, lead time, and cost, etc. It is have lot sizing and scheduling models integrated marketing strategies, and not only focus on the optimization of production issues. This research integrated the traditional lot sizing and scheduling model and the concept of product life cycle (PLC) marketing strategy, cash flow, and learning curve, and used genetic algorithms (GAs) as the solution tool. Developing an multi-item, multi- level lot sizing and scheduling model incorporates the inventory models and actual market situation.
This research, based upon the multi-level proportional lot sizing and scheduling problem with multiple machines (MM- PLSP), took into consideration stages of product life cycle, cash flow, and learning curve, and developed the three related modes: PLC based MM-PLSP (PLC-PLSP), cash flow-oriented MM-PLSP (CF-PLSP) and cash flow-oriented PLC-PLSP. By a numerical example, it was shown that considerations of the product life cycle factor improved the results of traditional lot sizing and scheduling model.
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