Jei-Zheng Wu

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A large number of studies have been conducted in the area of semiconductor final test scheduling (SFTS) problems. As a specific example of the simultaneous multiple resources scheduling (SMRS) problem, intelligent manufacturing planning and scheduling based on meta-heuristic methods, such as the genetic algorithm (GA), simulated annealing (SA), and particle(More)
The overall flow of the final test of integrated circuits can be represented by the job shop model with limited simultaneous multiple resources in which various product mixes, jobs recirculation, uncertain arrival of jobs, and unstable processing times complicate the problem. Rather than relying on domain experts, this study aims to develop a hybrid(More)
To improve capital effectiveness in light of demand fluctuation, it is increasingly important for high-tech companies to develop effective solutions for managing multiple resources involved in the production. To model and solve the simultaneous multiple resources scheduling problem in general, this study aims to develop a genetic algorithm (bvGA)(More)
The International Financial Reporting Standards (IFRS) No. 2 has been the worldwide accounting principle for the reduction of inventory to market allowance since January 1, 2005. Using make-to-stock manufacturing strategies and inventory accounting for only approximately 14% of the total costs, integrated device manufacturers have found maintaining robust(More)
The high variety of and intermittent demand for semiconductor memory products frequently limits the use of forecast error normalization in estimating inventory. Inventory turnover is a practical performance indicator that is used to calculate the number of days for which a company retains inventory before selling a product. Although previous studies on(More)
Inventory management is challenging and critical problem in the semiconductor memory manufacturing industry. Rapid technological development and short product life cycle cause a high risk of product obsolescence. However, manufacturers must still hold a reasonable level of inventory to satisfy the needs of customers when demand is uncertain and lead times(More)
Manufacturing strategy comprises decisionmaking problems in terms of manufacturing practices to achieve manufacturing objectives through linkages of performance measurement. It is pervasively influential, long-term, and dynamic owing to the conformance with corporate strategy, business strategy, and marketing strategy. Therefore, there are many underlying(More)
With the feature size shrinkage in advanced technology nodes, the modeling of process variations has become more critical for troubleshooting and yield enhancement. Misalignment among equipment tools or chambers in process stages is a major source of process variations. Because a process flow contains hundreds of stages during semiconductor fabrication,(More)