Operational Excellence through Schedule Optimization and Production Simulation of Application Specific Integrated Circuits.
Author(s) -
John Flory,
Denise Padilla,
John H. Gauthier,
April Zwerneman,
S.P. Miller
Publication year - 2016
Language(s) - English
Resource type - Reports
DOI - 10.2172/1259554
Subject(s) - operational excellence , scheduling (production processes) , computer science , schedule , discrete event simulation , application specific integrated circuit , synchronizing , reliability engineering , operations research , synchronization (alternating current) , industrial engineering , systems engineering , engineering , embedded system , simulation , operations management , operating system , telecommunications , transmission (telecommunications) , computer network , channel (broadcasting)
Upcoming weapon programs require an aggressive increase in Application Specific Integrated Circuit (ASIC) production at Sandia National Laboratories (SNL). SNL has developed unique modeling and optimization tools that have been instrumental in improving ASIC production productivity and efficiency, identifying optimal operational and tactical execution plans under resource constraints, and providing confidence in successful mission execution. With ten products and unprecedented levels of demand, a single set of shared resources, highly variable processes, and the need for external supplier task synchronization, scheduling is an integral part of successful manufacturing. The scheduler uses an iterative multi-objective genetic algorithm and a multi-dimensional performance evaluator. Schedule feasibility is assessed using a discrete event simulation (DES) that incorporates operational uncertainty, variability, and resource availability. The tools provide rapid scenario assessments and responses to variances in the operational environment, and have been used to inform major equipment investments and workforce planning decisions in multiple SNL facilities.
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