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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)
(2012/12), " A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem, " Abstract 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(More)
(2013) " The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems, " Journal of Intelligent Manufacturing. Abstract 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(More)
Keywords: Semiconductor manufacturing Supply chain management Inventory age Inventory write-down Accounting principle Bill of material a b s t r a c t 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(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)
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)
During the past several years, there have been a significant number of researches conducted in the area of semiconductor final test scheduling problems (SFTSP). As specific example of simultaneous multiple resources scheduling problem (SMRSP), intelligent manufacturing planning and scheduling based on meta-heuristic methods, such as Genetic Algorithm (GA),(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)