Empirical-Evolution of Frameworks Supporting Co-simulation Tool-Chain Development

2018 ◽  
pp. 813-828 ◽  
Author(s):  
Jinzhi Lu ◽  
Didem Gürdür ◽  
De-Jiu Chen ◽  
Jian Wang ◽  
Martin Törngren
Keyword(s):  
Simulation Tool ◽  
Tool Chain

Crank-Angle Resolved Real-Time Engine Simulation –Integrated Simulation Tool Chain from Office to Testbed

2009 ◽  
Author(s):  
Johann C. Wurzenberger ◽  
Roman Heinzle ◽  
Ales Schuemie ◽  
Tomaz Katrasnik
Keyword(s):  
Real Time ◽  
Simulation Tool ◽  
Tool Chain ◽  
Integrated Simulation ◽  
Engine Simulation ◽  
Crank Angle

Compilation and Simulation Tool Chain for Memory Aware Energy Optimizations

2006 ◽  
pp. 279-288 ◽  
Author(s):  
Manish Verma ◽  
Lars Wehmeyer ◽  
Robert Pyka ◽  
Peter Marwedel ◽  
Luca Benini
Keyword(s):  
Simulation Tool ◽  
Tool Chain ◽  
Energy Optimizations

Simulation tool-chain for plastic gear design

2019 ◽  
pp. 1453-1460
Author(s):  
M. Uhlig ◽  
C. Pastor
Keyword(s):  
Simulation Tool ◽  
Tool Chain ◽  
Gear Design

Simulation Tool Chain for the Estimation of EMC Characteristics of ECU Modules

2007 ◽  
Author(s):  
K. Schönherr ◽  
P. Feuerstack ◽  
A. Jennert ◽  
B. Kelly ◽  
J. Duliere
Keyword(s):  
Simulation Tool ◽  
Tool Chain

Simulation tool chain for multi-sensor navigation filters

2014 ◽  
Author(s):  
T. Martin ◽  
U. Probst ◽  
H. Fischer ◽  
J. Straub-Kalthoff ◽  
U. Herberth
Keyword(s):  
Simulation Tool ◽  
Tool Chain ◽  
Navigation Filters ◽  
Sensor Navigation

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

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