Simulation tool for microsensor design driven by autonomy constraints

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.

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Simulation Tool for Assignment Models: SIMASI

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v13i8.7070 ◽

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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Advanced Simulation Tool for Improved Damage Assessment. 1) A Multiblock Technique for Simulating Fire and Smoke Spread in Large Complex Enclosures

10.21236/ada375000 ◽

2000 ◽

Cited By ~ 1

Author(s):

Kuldeep Prasad ◽

Gopal Patnaik ◽

K. Kailasanath

Keyword(s):

Damage Assessment ◽

Simulation Tool ◽

Large Complex ◽

Smoke Spread

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Developing a Chemical Reconnaissance Behavior for Unmanned Ground Vehicles Using the OneSAF Battlefield Simulation Tool

10.21236/ada415682 ◽

2003 ◽

Cited By ~ 1

Author(s):

MaryAnne Fields ◽

Bailey T. Haug

Keyword(s):

Unmanned Ground Vehicles ◽

Simulation Tool ◽

Ground Vehicles

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High Resolution Parallel Coastal Ocean Modeling:a Large Eddy Simulation Tool

10.21236/ada626858 ◽

2002 ◽

Author(s):

Robert L. Street

Keyword(s):

High Resolution ◽

Large Eddy Simulation ◽

Coastal Ocean ◽

Simulation Tool ◽

Eddy Simulation ◽

Large Eddy

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Computer simulation to evaluate the economics of landfill gas recovery

Water Science & Technology ◽

10.2166/wst.1998.0139 ◽

1998 ◽

Vol 38 (2) ◽

pp. 201-208

Author(s):

M. W. Milke

Keyword(s):

Computer Simulation ◽

Computer Program ◽

Landfill Gas ◽

Base Case ◽

Simulation Tool ◽

Hypothetical Case ◽

Gas Recovery ◽

Fixed Set ◽

Key Variables ◽

Simulation Results

A need exists for tools to improve evaluations of the economics of landfill gas recovery. A computer simulation tool is presented. It uses a spreadsheet computer program to calculate the economics for a fixed set of inputs, and a simulation program to consider variations in the inputs. The method calculates the methane generated each year, and estimates the costs and incomes associated with the recovery and sale of the gas. Base case results are presented for a city of 500,000. An uncertainty analysis for a hypothetical case is presented. The simulation results can help an analyst see the key variables affecting the economics of a project.

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