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The discipline of industrial engineering has been declining in many countries in light of the changes of industry structures in developed countries, in which the competition is no longer among individual companies while the collaboration among horizontally specialized value providers are critical for the success of the individual companies as well as the whole supply chain. There should be a systematic...
Semiconductor industry is capital intensive and competitive, and thus efficiently utilizing resources to provide products and services is essential for maintaining competitive advantages. Knowing whether the resource is properly utilized is the foundation for future improvements and/or decision making. This study investigates the economic efficiency of fabrication facility (fab) operations. We develop...
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconductor companies have to predict future demands as a basis for related manufacturing strategic decisions. As semiconductor products in a consumer era become more diversified with shortening life cycle, demand forecast also becomes...
This study aims to develop a methodology for predicting cycle time based on domain knowledge and data mining algorithms given production status including WIP, throughput. The proposed model and derived rules were validated with real data and demonstrated its practical viability for supporting production planning decisions
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