| Summary: | 碩士 === 東海大學 === 管理碩士學程在職進修專班 === 91 === The purpose of this study is to evaluate the learning curve and its dynamic aspect of a local avionics-manufacturing firm, which was formerly a non-profit organization run by the military. Four avionics equipment of last 8 years production data was fitted to the Wright’s Equation that was reported in 1936. Both “ordinary least squares” (OLS) and “flexible least squares” (FLS) approach is used to investigate the feasibility of model fitting to this specific case. The FLS approach is proved to be able to track the dynamics of production, and to check whether or not the OLS solution provides a good description of the production data. The FLS estimates are used to test the difference of learning rate among 3 consecutive production periods, which is categorized by design change and process improvement. The FLS estimates are also used to check the learning rate movement after the firm changed into a government-owned, profit-seeking enterprise. The study shows: 1. The FLS approach provides a good description of the observation that was dynamic in its nature, and the OLS solution is unlikely to indicate the system movement of the learning rate. 2. The four avionics equipment manufacturing exhibit the learning effect, but statistics evidence shows no conformity to the ” 80% curve”. 3. Integrating the price-level index to reflect the real cost in the learning curve model does not necessarily provide enough information for learning curve estimation. Further factors need to be considered in implementing the learning curve concept. 4. Evidence shows the learning rate is not necessarily constant in the course of production. Dynamic factors should be considered when estimating the learning curve.
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