Browsing by Author "Liang, SK"

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A decision model linkage between technology forecasting, technology dominance and technology strategy
(1999)
Liang, SK
;
Yuan, B
;
Chow, LR
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
In this paper, we provide a hierarchical structure for the strategy selection problem by combining the concepts of technological dominance and technological forecasting. We start with a simple proof about the fact that "those who maintain a status quo will lose", which is the nature of technological dominance. The ultimate purpose of technological forecasting is to find the opportunity of technological dominance. Based on Theorem 2, we develop a mathematical model to select the best technological strategy based on the concept of technological dominance. Four illustrative examples are presented to describe the detailed procedures and algorithms.
A hierarchical model for selecting technology strategy with dominance-oriented environment
(1997)
Liang, SK
;
Chow, LR
;
交大名義發表
;
National Chiao Tung University
Modularized simulation for lot delivery time forecast in automatic material handling systems of 300 mm semiconductor manufacturing
(2005-09-01)
Liang, SK
;
Wang, CN
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
The more accurate the forecast is to lot delivery time, the more effective it is in fab scheduling. In fab operations, scheduling is the major impact factor of tools capacity allocation, tools utilization control and bottleneck management. However, there is no effective method to estimate delivery time in 300 mm automatic material handling systems (AMHS) operation. Computer simulations are authentic, but they are either too complex to model fab operations as well as the whole AMHS, or too time-consuming to simulate with a full-scaled fab model. This paper proposes an analytic methodology to estimate the loop-to-loop delivery time for differentiated lots in a 300 mm AMHS environment. Combining simulation and statistics techniques, we develop a modularized simulation method (MSM) for delivery time forecast of priority lots. Numerical experiments based on data from a local 300 mm manufacturing fab are conducted. Simulation demonstrates that the MSM has credible results in estimating lot delivery times. The time differences between MSM and simulation for both priority lots and regular lots are 0.2 s and 0.1 s, respectively. Using the MSM method to forecast AMHS delivery time is a great contribution for streamlining shop floor operations, such as scheduling and dispatching, for eliminating time delays in the 300 mm automatic environment.
Note on inventory model with a mixture of back orders and lost sales
(2004-12-01)
Chu, P
;
Yang, KL
;
Liang, SK
;
Niu, T
;
工業工程與管理學系
Competitiveness is an important means of determining whether a company will prosper. Business organizations compete with one another in a variety of ways. Among these competitive methods are time and cost factors. The purpose of this paper is to examine the inventory models presented by Padmanabhan and Vrat [International Journal of Systems Sciences 21 (1990) 1721] with a mixture of back orders and lost sales. We develop the criterion for the optimal solution for the total cost function. If the criterion is not satisfied, this model will degenerate into one cycle inventory model with a finite inventory period. This implies an extension of shortage period as long as possible to produce lower cost. However, we know that time is another important factor in company competitiveness. Customers will not indefinitely wait for back orders. A tradeoff will be made between the two most important factors; time and cost. The minimum total cost is evaluated under the diversity cycle time and illustrations are applied to explain the calculation process. This work provides a reference for decision-makers. (C) 2003 Elsevier B.V. All rights reserved.