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In this paper, we describe major steps to build a supply chain simulation reference model for the semiconductor industry. We start by identifying requirements for such a reference model. Then we identify the main building blocks of the model. We present a technique to deal with load-dependent cycle times in single front-end and back-end facilities and in(More)
In this paper, we study a forecast method for demand quantities in semiconductor manufacturing. We formulate and test a parameter-driven scheme to generate forecasts. We forecast demand quantities using the formula F = aX + bY where a and b are non-negative parameters to be estimated, X is a simple exponential smoothing forecast based on historical data,(More)
Complex manufacturing systems, such as wafer fabrication facilities (wafer fabs), are characterized by a diverse product mix that is changing over time, re-entrant process flows due to expensive machinery, different process types, and different kinds of internal and external disruptions. In this paper, we introduce a simulation-based architecture dedicated(More)
We present a model for making master planning decisions in semiconductor manufacturing. The problem consists in determining appropriate wafer quantities for certain products, facilities (locations), and periods of time. Different demand types, i.e., confirmed orders or forecasts are considered. The reentrant flow in semiconductor wafer fabrication(More)
We introduce a domain specific object-oriented data model for the high-tech discrete manufacturing on the example of the semiconductor company Infineon Technologies AG. This model is needed to describe the complex supply chain of a global company in the competitive semiconductor arena with frequent product changes. However, the data model alone is not(More)
The global supply chain is a complex network including multiple autonomous agents, and one representative of which is the supply chain planers, whose interactive activities bring in various uncertainty and complexity to the decision making. To better manage the dynamics, it is necessary to investigate the agents behaviors and their impacts on the supply(More)
In this paper, we study a forecast method for demand quantities in the high-technology industry. We formulate and test a parameter-driven scheme to generate forecasts. We forecast demand quantities for several future periods using the formula F = aX + (1-a)Y where a is a real number from [0,1] to be estimated, X is a simple exponential smoothing forecast(More)
We introduce a domain specific object-oriented data model for the high-tech discrete manufacturing on the example of the semiconductor company Infineon Technologies AG. This model is needed to describe the complex supply chain of a global company in the competitive semiconductor arena with frequent product changes. However, the data model alone is not(More)