Browsing by Author "Hsu, Shao-Chung"

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AN INDIRECT WORKFORCE (RE)ALLOCATION MODEL FOR SEMICONDUCTOR MANUFACTURING
(2008)
Chien, Chen-Fu
;
Chen, Wen-Chih
;
Hsu, Shao-Chung
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
Semiconductor industry is a capital intensive and knowledge intensive industry, in which human resource management and human capital enhancement is increasingly important. To maintain competitive human resource, it is critical to develop a decision framework for headcount planning and workforce allocation for indirect labors. Motivated by the needs in real setting, this study aims to develop a model for allocating indirect workforce among semiconductor fabrication facilities to meet expected outputs and labor productivity improvement. Workforce allocation and reallocation based on the overall corporate workforce level is essential so that the shortage or exceed workforce will be balanced among different production sites. The key to achieve this purpose is the proper understanding of real requirements of each production site according to its corresponding tasks assigned. Non-parametric activity analysis approach is used for the workforce requirement estimation given delegated tasks. The estimation is based on the best performance from the past with adjustments reflecting the expected productivity growth.
Requirement estimation for indirect workforce allocation in semiconductor manufacturing
(2010)
Chien, Chen-Fu
;
Chen, Wen-Chih
;
Hsu, Shao-Chung
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This work, based on a real case, presents a model to estimate indirect workforce requirements of semiconductor fabrication facilities (fabs) so that the workforce can be fairly allocated. There is a concern in a real setting to fairly allocate the overall corporate workforce among the fabs, particularly when they compete in performance, and properly determining the actual requirement is the most critical in the decision process. The actual requirements of the workforce, especially the indirect workforce, for fabs may be indeterminate due to the lack of a well-defined workforce-output relationship. This paper presents a non-parametric frontier approach for estimating the indirect workforce, and the estimate is based on the best past performance adjusted to reflect the expected productivity growth. An empirical study was conducted in a leading foundry in Taiwan that has a number of 8-inch fabs. The proposed (re)allocation approach can provide an explicit decision support mechanism to balance the workloads in light of various production environments to enable an equitable basis for performance evaluation to foster constructive competition among the fabs.