Thomas Ponsignon

Learn 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)
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)
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)
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)
Simulation is a widely used technique for analyzing and managing supply chains. Simulation software packages offer standard libraries for selected functions and application areas. However, no commercial or freeware simulation tool proposes building blocks specific to semiconductor manufacturing. Thus, we propose in the present paper a library with a(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)