Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing

The manufacturing industry is facing increasing volatility, uncertainty, complexity, and ambiguity, while still requiring high delivery reliability to meet customer demands. This is especially challenging for complex job shops in the semiconductor industry, where the manufacturing process is highly...

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Main Authors: Dennis Bauer, Daniel Umgelter, Andreas Schlereth, Thomas Bauernhansl, Alexander Sauer
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/6/3615
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author Dennis Bauer
Daniel Umgelter
Andreas Schlereth
Thomas Bauernhansl
Alexander Sauer
author_facet Dennis Bauer
Daniel Umgelter
Andreas Schlereth
Thomas Bauernhansl
Alexander Sauer
author_sort Dennis Bauer
collection DOAJ
description The manufacturing industry is facing increasing volatility, uncertainty, complexity, and ambiguity, while still requiring high delivery reliability to meet customer demands. This is especially challenging for complex job shops in the semiconductor industry, where the manufacturing process is highly intricate, making it difficult to predict the consequences of changes. Although simulation has proven to be an effective tool for optimizing manufacturing processes, reference data sets and models often produce disparate and incomparable results. CoJoSim is introduced in this article as a reference model for semiconductor manufacturing, along with an associated reference implementation that accelerates the implementation and application of the reference model. CoJoSim can serve as a testbed and gold standard for other implementations. Using CoJoSim, different dispatching rules are evaluated to demonstrate an improvement of almost 15 percentage points in adherence to delivery dates compared to the reference. Findings emphasize the importance of optimizing setup time, particularly in products with high variance, as it significantly impacts adherence to delivery dates and throughput. Moving forward, future applications of CoJoSim will evaluate additional dispatching rules and use cases. Combining CoJoSim with dispatching methods that integrate manufacturing and supply networks to optimize production planning and control through reinforcement-learning-based agents is also planned. In conclusion, CoJoSim provides a reliable and effective tool for optimizing semiconductor manufacturing and can serve as a benchmark for future implementations.
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spelling doaj.art-41f9c85180b04cce855a62d1b51145012023-11-17T09:24:18ZengMDPI AGApplied Sciences2076-34172023-03-01136361510.3390/app13063615Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor ManufacturingDennis Bauer0Daniel Umgelter1Andreas Schlereth2Thomas Bauernhansl3Alexander Sauer4Fraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, GermanyFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, GermanyFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, GermanyFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, GermanyFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, GermanyThe manufacturing industry is facing increasing volatility, uncertainty, complexity, and ambiguity, while still requiring high delivery reliability to meet customer demands. This is especially challenging for complex job shops in the semiconductor industry, where the manufacturing process is highly intricate, making it difficult to predict the consequences of changes. Although simulation has proven to be an effective tool for optimizing manufacturing processes, reference data sets and models often produce disparate and incomparable results. CoJoSim is introduced in this article as a reference model for semiconductor manufacturing, along with an associated reference implementation that accelerates the implementation and application of the reference model. CoJoSim can serve as a testbed and gold standard for other implementations. Using CoJoSim, different dispatching rules are evaluated to demonstrate an improvement of almost 15 percentage points in adherence to delivery dates compared to the reference. Findings emphasize the importance of optimizing setup time, particularly in products with high variance, as it significantly impacts adherence to delivery dates and throughput. Moving forward, future applications of CoJoSim will evaluate additional dispatching rules and use cases. Combining CoJoSim with dispatching methods that integrate manufacturing and supply networks to optimize production planning and control through reinforcement-learning-based agents is also planned. In conclusion, CoJoSim provides a reliable and effective tool for optimizing semiconductor manufacturing and can serve as a benchmark for future implementations.https://www.mdpi.com/2076-3417/13/6/3615semiconductor manufacturingcomplex job shopreference modelsimulation
spellingShingle Dennis Bauer
Daniel Umgelter
Andreas Schlereth
Thomas Bauernhansl
Alexander Sauer
Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
Applied Sciences
semiconductor manufacturing
complex job shop
reference model
simulation
title Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
title_full Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
title_fullStr Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
title_full_unstemmed Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
title_short Complex Job Shop Simulation “CoJoSim”—A Reference Model for Simulating Semiconductor Manufacturing
title_sort complex job shop simulation cojosim a reference model for simulating semiconductor manufacturing
topic semiconductor manufacturing
complex job shop
reference model
simulation
url https://www.mdpi.com/2076-3417/13/6/3615
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AT andreasschlereth complexjobshopsimulationcojosimareferencemodelforsimulatingsemiconductormanufacturing
AT thomasbauernhansl complexjobshopsimulationcojosimareferencemodelforsimulatingsemiconductormanufacturing
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