| Summary: | 碩士 === 東海大學 === 工業工程與經營資訊學系 === 102 === The increasing rate of development, marketing and consumer acceptance of mobile devices have threatened the PC industry. Since CY2011, the growth rate of PC users has declined for three consecutive years. Facing declining market demand for PCs, it is important for suppliers to properly and expeditiously respond and adjust their strategies. This study focuses on comparing the performance of PC enterprises in two different stages of product life cycle: maturity and declining, between a period of time from CY2008 to 2013. The input variables selected for this study include: Inventory, Account Receivables; and Fixed Assets. Operating Income is considered as an output of our research. Data Envelopment Analysis (DEA) is used to analyze the efficiency of assets utilization and compare the ranking of individual PC enterprises in different stages. Furthermore, DEA-window analysis is used to compare the variance of return and risk. Finally, Malmquist Productivity Index is conducted to examine the trend of productivity variation and to identify the factors influencing enterprises performance. Sensitivity Analysis is also applied to discover which input variable has the most impact on performance in different stages. This study reveals the following:
1.The efficiency of PC enterprises will be affected according to different stages of product life cycle.
2.Although the PC industry is in declining stage, PC enterprises still can maintain their performance and avoid risks by adjusting their input.
3.Malmquist Index was used to analyze the factors influencing enterprises performance. The results show that some of the enterprises are influenced by the returns to scale and demand in different stages of product life cycle, which affect the performance of PC enterprises.
4.Inventory is a critical item to improve performance in a declining stage. Assemble to Order (ATO) product strategy is applied by PC enterprises. Inventory has to meet customers’ demand. In declining stage, excess inventory generates nearly no profit but incurs additional costs. PC enterprises must focus on it to improve their performance.
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