REVIEW OF SIMULATION-BASED OPTIMIZATION APPROACHES FOR THE ADAPTIVE SCHEDULING AND CONTROL OF DYNAMIC PRODUCTION SYSTEMS

Der Trend zur Fertigung individualisierter Produkte in kleinen Losgrößen erfordert hochflexible Produktionssysteme. Durch die damit verbundene Systemdynamik wird die Reihenfolgeplanung zu einem komplexen Planungsproblem. Der Beitrag beschreibt ein simulationsbasiertes Optimierungsverfahren, welches Echtzeitinformationen zur adaptiven Selektion geeigneter Prioritätsregeln verwendet. Das Potenzial des Ansatzes wird anhand eines Anwendungsfalls aus der Halbleiterindustrie demonstriert.   The trend to manufacturing individualized products in small-scale series demands highly flexible production systems. Because of the dynamic nature of such production systems, scheduling becomes a complex planning problem with frequent need for rescheduling. This article describes a data-driven simulation-based optimization approach using real-time information for adaptive job shop scheduling. The potential of the approach is demonstrated by a use case from semiconductor industry.

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Simulationsbasierte Optimierung von Fabrikabläufen*/Simulation-based optimization of factory processes

wt Werkstattstechnik online ◽

10.37544/1436-4980-2018-04-27 ◽

2018 ◽

Vol 108 (04) ◽

pp. 221-227

Author(s):

T. Donhauser ◽

L. Baier ◽

T. Ebersbach ◽

J. Franke ◽

P. Schuderer

Keyword(s):

Calcium Silicate ◽

Optimization Approach ◽

Process Technology ◽

High Quality ◽

Decomposition Approach ◽

Planning And Control ◽

Simulation Based ◽

Simulation Based Optimization ◽

And Control

Die Kalksandsteinherstellung weist aufgrund prozesstechnisch und zeitlich divergierender Teilprozesse einen hohen Planungs- sowie Steuerungsaufwand auf. Durch Einsatz eines simulationsgestützten Optimierungsverfahrens kann diese Komplexität bewältigt werden. Um bei hoher Lösungsqualität eine Laufzeit zu erreichen, die einen operativen Einsatz des Verfahrens gestattet, wird auf Basis einer vorangegangenen Studie ein Dekompositionsansatz implementiert und dessen Eignung durch Testläufe validiert.   Calcium silicate masonry production requires a great deal of planning and control due to the fact that subprocesses vary in terms of process technology and time. To overcome this complexity, a simulation-based optimization approach is applied. As a short runtime that allows the method to be used operationally and yet still offers a high quality of solution is crucial, a decomposition approach is implemented on the basis of a previous study and its suitability is validated by means of test runs.

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Synchronized Decision-making and Control Method for Opti-state Execution of Dynamic Production Systems with Internet of Things

Journal of Mechanical Engineering ◽

10.3901/jme.2018.16.024 ◽

2018 ◽

Vol 54 (16) ◽

pp. 24 ◽

Cited By ~ 4

Author(s):

Ting QU

Keyword(s):

Decision Making ◽

Internet Of Things ◽

Control Method ◽

Production Systems ◽

And Control ◽

Dynamic Production

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Simulationsbasierte Produktionsassistenz*/Simulation-driven operation assistance

wt Werkstattstechnik online ◽

10.37544/1436-4980-2018-03-44 ◽

2018 ◽

Vol 108 (03) ◽

pp. 148-154

Author(s):

G. Höllthaler ◽

C. Richter ◽

M. Hörmann ◽

A. Zipfel ◽

J. Fischer ◽

...

Keyword(s):

Production Planning ◽

Material Flow ◽

Production Systems ◽

General Description ◽

Production Planning And Control ◽

Planning And Control ◽

Simulation Based ◽

Production Area ◽

And Control ◽

Detailed Presentation

Mit zunehmender Komplexität in Produktionssystemen, die sich auch aus der steigenden Variantenvielfalt ergibt, sind Entscheider im Produktionsumfeld mit immer komplexeren Fragestellungen konfrontiert. Zur Entscheidungsunterstützung stellt dieser Beitrag ein simulationsbasiertes Assistenzsystem vor. Neben einer allgemeinen Beschreibung des Aufbaus des Assistenzsystems wird im Detail der integrierte Materialflussservice betrachtet, der zur Beantwortung von Fragen rund um die Produktionsplanung und -steuerung zum Einsatz kommt.   An increasing complexity in production systems resulting, for example, from a growing number of variants, gives rise to more complex issues which stakeholders in the production area have to cope with. To support these stakeholders, this paper introduces a novel simulation-based assistant system. In addition to the general description of the assistant system’s setup, a detailed presentation of the integrated material flow service is given. This service deals with issues of production planning and control.

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On the scalability of meta-models in simulation-based optimization of production systems

2015 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2015.7408523 ◽

2015 ◽

Author(s):

Sunith Bandaru ◽

Amos H.C. Ng

Keyword(s):

Production Systems ◽

Simulation Based ◽

Simulation Based Optimization

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Aspects of Parameter Sensitivity for Series Hydraulic Hybrid Light-Weight Duty Vehicle Design

9th FPNI Ph.D. Symposium on Fluid Power ◽

10.1115/fpni2016-1567 ◽

2016 ◽

Author(s):

Katharina Baer ◽

Liselott Ericson ◽

Petter Krus

Keyword(s):

Design Parameters ◽

Drive Cycle ◽

Hydraulic Hybrid ◽

Component Sizing ◽

Alternative Approach ◽

Simulation Based ◽

Simulation Based Optimization ◽

Hydraulic Hybrid Vehicle ◽

Definition Of ◽

And Control

Hybridization of a vehicle’s drivetrain can in principle help to improve its energy efficiency by allowing for recuperation of kinetic energy and modulating the engine’s load. How well this can be realized depends on appropriate sizing and control of the additional components. The system is typically designed sequentially, with the hardware setup preceding the development and tuning of advanced controller architectures. Taking an alternative approach, component sizing and controller tuning can be addressed simultaneously through simulation-based optimization. The results of such optimizations, especially with standard algorithms with continuous design variable ranges, can however be difficult to realize, considering for example limitations in available components. Furthermore, drive-cycle based optimizations are prone to cycle-beating. This paper examines the results of such simulation-based optimization for a series hydraulic hybrid vehicle in terms of sensitivity to variations in design parameters, system parameters and drive cycle variations. Additional relevant aspects concerning the definition of the optimization problem are pointed out.

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