27 December 2002 System to improve the Understanding of Collected Logistic Data, to Optimize Cycle-Time and Delivery Performance
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Abstract
A complex production mask-house faces the issue of handling and understanding the logistics information from the production process of the masks. We managed to control key performance indicators like cycle-time, flow-factor, line-speed, WIP, etc. To improve the line flow, we set-up rules for optimising batching at operations and forbid batching between operations, we defined maximum and minimum WIP at the operations, scheduled urgency of the different lots and built rules for bottleneck management. Also we restricted the number of “hot lots”. By migrating to the modern MES (manufacturing execution system) MaTISSe, which manages the shopfloor control, and a reporting database, we are able to eliminate the time deviations within our data, caused by data-extraction for different reports at different moments. This gives us a better understanding of our fixed bottleneck and a faster recognition of the temporarily bottlenecks caused by missing availability of machines or men. In this paper we describe the features and advantages of our new MES, as well as the migration process. We have already achieved considerable benefits. Our plan is to extend decision support within the MES, to help both managers and operators to make the right decisions. The project behind this paper reaped major benefits described here and we are looking forward to further challenges and successes.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wim-Jan van Rooijen, Wim-Jan van Rooijen, Ben Rodriguez, Ben Rodriguez, } "System to improve the Understanding of Collected Logistic Data, to Optimize Cycle-Time and Delivery Performance", Proc. SPIE 4889, 22nd Annual BACUS Symposium on Photomask Technology, (27 December 2002); doi: 10.1117/12.467501; https://doi.org/10.1117/12.467501
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