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

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.

scholarly journals Towards a simulation-based optimization approach to integrate supply chain planning and control

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 520-525 ◽  
Author(s):  
Matheus Cardoso Pires ◽  
Enzo Morosini Frazzon ◽  
Apolo Mund Carreirão Danielli ◽  
Mirko Kück ◽  
Michael Freitag
Keyword(s):  
Supply Chain ◽  
Optimization Approach ◽  
Supply Chain Planning ◽  
Planning And Control ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
And Control

Efficient Method for Optimizing Calcium Silicate Masonry Unit Manufacturing Using Simulation-Based Optimization and Decomposition

2016 ◽  
Vol 856 ◽  
pp. 99-108
Author(s):  
Toni Donhauser ◽  
Joachim Lohse ◽  
Jörg Franke ◽  
Peter Schuderer
Keyword(s):  
Calcium Silicate ◽  
Job Scheduling ◽  
Control Plant ◽  
Target System ◽  
Optimization Approach ◽  
Scheduling Problems ◽  
Process Step ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Plant Operations

This paper describes an overall, simulation-based optimization approach to control plant operations for manufacturing calcium silicate masonry units (CS), which is directed towards and thus immediately applicable to practical processes. Starting from an investigation and classification of the CS production in order to differentiate the properties of each sub-process, specific target criteria are derived. To enable the influencing of these targets, relevant parameters including their mutual interdependencies are identified. On this basis, the criticality of each process step is assessed in order to determine improvement potentials and to investigate possible adjustments to the parameters.The elementary production types indicate a mix of the discontinuous and continuous processing in CS plants. Particularly, this work shows that through interrupting the continuous material flow, the hardening process is the main criteria for a plant’s success in meeting its targets, especially concerning energy efficiency. To achieve a feasible approach, the work develops a solving method geared to an optimized hardening process.Therefore, a formulation of a measureable target system is established, which is the prerequisite for modeling the whole optimization problem. An expedient decomposition of this optimization model to smaller sub-problems provides an efficient solving of these complex job-scheduling problems, in order to direct the method towards an operative use. The paper concludes with the determination of potential solving procedures for the overall problem and appropriate algorithms for solving the sub-problems.

Data fusion and simulation-based planning and control in cyber physical system for digital assembly of aeroplane

2015 ◽  
Vol 06 (03) ◽  
pp. 1550027 ◽  
Author(s):  
Hui Li ◽  
Linxuan Zhang ◽  
Tianyuan Xiao ◽  
Jietao Dong
Keyword(s):  
Data Fusion ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Estimation Algorithm ◽  
Asynchronous Sampling ◽  
Planning And Control ◽  
Adaptive Sliding Mode Controller ◽  
Simulation Based ◽  
And Control ◽  
Distributed Fusion

This paper introduces a CPS application for intelligent aeroplane assembly. At first, the CPS structure is presented, which acquires the characteristics of general CPS and enables "simulation-based planning and control" to achieve high level intelligent assembly. Then the paper puts forward data fusion estimation algorithm under synchronous and asynchronous sampling, respectively. The experiment shows that global optimal distributed fusion estimation under synchronized sampling proves to be closer to the actual value compared with ordinary weighted estimation, and multi-scale distributed fusion estimation algorithm of wavelet under asynchronous sampling does not need time registration, it can also directly link to data, and the error is smaller. This paper presents hybrid control strategy under the circumstance of joint action of the inner and outer loop to address the problems caused by the less controllable feature of the parallel mechanism when undertaking online process simulation and control. A robust adaptive sliding mode controller is designed based on disturbance observer to restrain inner interference and maintain robustness. At the same time, an outer collaborative trajectory planning is also designed. All the experiment results show the feasibility of above proposed methods.

Adaptive PPS durch simulationsbasierte Optimierung*/Adaptive PPC by simulation-based optimization

2017 ◽  
Vol 107 (04) ◽  
pp. 288-292
Author(s):  
M. Kück ◽  
J. Ehm ◽  
T. Hildebrandt ◽  
M. Prof. Freitag ◽  
E. M. Prof. Frazzon
Keyword(s):  
Job Shop ◽  
Job Shop Scheduling ◽  
Production Systems ◽  
Semiconductor Industry ◽  
Small Scale ◽  
Planning Problem ◽  
Optimization Approach ◽  
Flexible Production Systems ◽  
Simulation Based ◽  
Simulation Based Optimization

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.

A Study on the Optimization and Application of All Radial Truck Tire Building Process Technology

2009 ◽  
Vol 87-88 ◽  
pp. 244-249
Author(s):  
Zhi Hua Li ◽  
Shi Liang Yang ◽  
Peng Xia ◽  
Zhao Feng Li ◽  
Yan Qing Liu ◽  
...  
Keyword(s):  
Economic Benefit ◽  
Control Device ◽  
Process Technology ◽  
New Device ◽  
Truck Tire ◽  
Building Process ◽  
Technology Process ◽  
And Control

By analyzing the technology process of all steel radial truck tire building machine, the author finds that there is a big potential of improvement both in stitching effect and efficiency. A new kind of stitching and control device is designed to replace the original. The new device can realize the soft stitching of tire, which reduces redundant actions and thus optimizes the process and improves the stitching efficiency. It is found in tests that the optimized process reduces the blister defectives greatly. Both productivity and quality of tires are improved significantly. It shows a big economic benefit.

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