Browsing by Author "Lei, Yi-Chieh"

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Decision Support System for Inventory Management by TOC Demand-Pull Approach
(2010)
Hung, Kun-Tung
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Liou, Edwin D.
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Tsai, Hsin-Feng
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Shi, Chi-Sheng
;
Chang, Yung-Chia
Theory of Constraint (TOC) suggests the application of demand-pull approach combined with buffer management to effectively manage inventory. The initial target buffer size, the timing to adjust the buffer and the amount of size to be adjusted are major managerial decisions that determine whether the demand-pull approach can be successfully applied in practice. However, there exist few studies that discuss the determination of parameters of buffer management in depth. Therefore, we constructed a decision support system (DSS) to assist users in finding applicable parameters when using demand-pull replenishment combined with buffer management. This DSS provides two modules: the search-of-parameter and the specific-parameter modules. The search-of-parameter module allows users to set the desired range of each strategic parameter to be simulated. Based on the range assigned, the system automatically generates various combinations of the strategic parameters and provides one simulation run for each combination. The specificparameter module only simulates one specific combination of parameters assigned and provides a more detail graphical display for the simulated results. The DSS also provides various charts for users to analyze the performance of a specific combination of parameters. To demonstrate the application of this DSS, we use a set of historical data for an integrated circuits (IC) product provided by a wafer foundry in Taiwan. From the results in the simulation, feasible actions to the inventory control will be suggested.
Probe of the Replenishment Strategy and Grouping Rule in the Semiconductor Industry
(2014-03-01)
Chang, Yung-Chia
;
Chang, Kuei-Hu
;
Lei, Yi-Chieh
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工業工程與管理學系
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Department of Industrial Engineering and Management
The theory of constraint suggests the application of a demand-pull replenishment strategy combined with buffer management (DPBM) in order to effectively manage inventory. A demand-pull strategy caters to the customers' demand to drive inventory replenishment, while buffer management is designed to adjust target inventory levels ( buffer size). However, there is very limited literature looking into the parameters of buffer management in depth, such as the timing and the amount of buffer adjusted. Therefore, the objective of this study was to explore the product demand characteristics that affect the parameters of choice in buffer management when applying the DPBM strategy. This study first used a DPBM strategy ( implemented via simulation, based on historical demand data) under different buffer management parameters to simulate the inventory replenishment for multiple products. The products were then grouped according to the simulated results by statistical analysis. A decision tree was applied to find the critical demand pattern factors that determined the product groups. An appropriate DPBM strategy is suggested for each product group. This study uses real demand data for 21 products, provided by a wafer foundry company located in Taiwan, to demonstrate the feasibility and effectiveness of the proposed method. The results show that it is possible to determine whether a product is suitable for DPBM strategy application after analyzing only its historical demand data.