Thomas Ponsignon

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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)
In this paper, we consider heuristics for master planning in semiconductor manufacturing. While lead times are typically assumed as fixed in production planning, we use iterative simulation to take load-dependent lead times into account. An AutoSched AP simulation model of a semiconductor supply chain is used for implementing the scheme. Simulation results(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)
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 + (1a)Y where a is a real number from [0,1] to be estimated, X is a simple exponential smoothing forecast(More)
This paper concerns the monitoring, controlling and documentation of cross-system processes. In these processes different persons and tools are involved in the execution. Gaps in the information flow exist because information is exchanged across system borders. A web based workflow management system, called Infineon Workflow Manager (iWoMan), has been(More)
The supply chain operational excellence has become a key competitive advantage in the globalized world economy. Since all manufactured technology products contain and depend on semiconductor components, an efficient semiconductor industry is crucially important for the broad manufacturing sector. Due to the high complexity of semiconductor manufacturing(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)