Methods for Factor Screening in Computer Simulation Experiments

1979 ◽  
Author(s):  
Douglas C. Montgomery
Keyword(s):  
Computer Simulation ◽  
Simulation Experiments ◽  
Factor Screening

scholarly journals Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

2015 ◽  
Vol 6 (4) ◽  
pp. 60-69 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebuna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Systems ◽  
Simulation Method ◽  
System Throughput ◽  
Buffer Allocation ◽  
Simulation Experiments ◽  
Buffer Capacities ◽  
The Relationship ◽  
Support Decision Making

Abstract This paper proposes the application of computer simulation methods to support decision making regarding intermediate buffer allocations in a series-parallel production line. The simulation model of the production system is based on a real example of a manufacturing company working in the automotive industry. Simulation experiments were conducted for different allocations of buffer capacities and different numbers of employees. The production system consists of three technological operations with intermediate buffers between each operation. The technological operations are carried out using machines and every machine can be operated by one worker. Multi-work in the production system is available (one operator operates several machines). On the basis of the simulation experiments, the relationship between system throughput, buffer allocation and the number of employees is analyzed. Increasing the buffer capacity results in an increase in the average product lifespan. Therefore, in the article a new index is proposed that includes the throughput of the manufacturing system and product life span. Simulation experiments were performed for different configurations of technological operations.

Computer simulation of economic systems ... an example model

SIMULATION ◽  
1967 ◽  
Vol 8 (1) ◽  
pp. 21-32 ◽  
Author(s):  
W. Earl Sasser ◽  
Thomas H. Naylor
Keyword(s):  
Computer Simulation ◽  
National Science Foundation ◽  
Economic Systems ◽  
Simulation Experiments ◽  
National Science

This research was supported by a grant from the National Science Foundation, GS-1104, for the project entitled Design of computer simulation experiments for economic systems.

Temperature effects in non-symmetric three-component counter-streaming electron plasmas: theory and computer simulation experiments

1978 ◽  
Vol 19 (3) ◽  
pp. 461-473 ◽  
Author(s):  
S. Cuperman ◽  
M. Mond ◽  
I. Roth ◽  
L. Gomberoff
Keyword(s):  
Growth Rate ◽  
Computer Simulation ◽  
Temperature Effects ◽  
Standing Waves ◽  
Maximum Growth ◽  
Distribution Functions ◽  
Absolute Maximum ◽  
General Effect ◽  
Simulation Experiments ◽  
Background Temperature

Temperature effects on the electrostatic instability of non-symmetric electron plasma systems consisting of two warm counter-streaming beams and of warm background particles are investigated linearly (analytically and numerically) and nonlinearly (by computer simulation experiments) for the case of Heaviside and moderately warm Maxwellian particle distribution functions. The non-symmetry is due to unequal temperatures, streaming velocities and particle densities in the beams. Other variable parameters investigated are the relative thermal velocities of the beams and background as well as the relative background particle concentration. When the beam temperatures are unequal, unstable waves with Re ω > 0 and propagating in the direction of the beam with lower temperature occur; this is in contrast to the equal temperature symmetric two-stream case, in which the unstable waves have Re ω = 0 (standing waves) and the temperature effect is only to decrease the growth rate. When three warm components are present in the system, the following results hold: (i) the beam temperatures have the effect of decreasing the importance of the unstable standing waves with Re ω > 0 (and growth rate yB) relative to the waves with Re w = 0 (growth rate yA) which occur in cold three-component symmetric systems; in addition to this, both γA, max and γB, max decrease with increasing temperature; (ii) the background temperature has the general effect of reducing the absolute maximum growth rate. For relative background temperatures above a certain critical value, a separation (in k and ω spaces) of regions B and A occurs; γA, max increases and γB, max decreases with increasing relative background temperature.

Confrontation of the BCF theory and computer simulation experiments with measured (R, σ) curves

1973 ◽  
Vol 8 (6) ◽  
pp. 659-678 ◽  
Author(s):  
P. Bennema ◽  
J. Boon ◽  
C. van Leeuwen ◽  
G. H. Gilmer
Keyword(s):  
Computer Simulation ◽  
Simulation Experiments

ROBUST SENSOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEMS USING OBSERVERS

2012 ◽  
Vol 22 (02) ◽  
pp. 1250031 ◽  
Author(s):  
CHANGFAN ZHANG ◽  
XINZHI LIU ◽  
JING HE
Keyword(s):  
Computer Simulation ◽  
Nonlinear Systems ◽  
Sliding Mode ◽  
State Equation ◽  
Adaptive Observer ◽  
Sensor Fault ◽  
Simulation Experiments ◽  
Reconstruction Scheme ◽  
Fault Reconstruction ◽  
Output Equation

This paper considers a sensor fault reconstruction scheme for nonlinear systems, using the sliding mode observer and adaptive observer. The novelty of this contribution is that we consider the disturbances represented in both the state equation and the output equation. Computer simulation experiments are carried out to demonstrate the effectiveness of the proposed design.

A STUDY ON VIRTUAL ENTERPRISE COALITION WITH MULTI-AGENT TECHNOLOGY IN AGILE MANUFACTURING ENVIRONMENT

2002 ◽  
Vol 01 (02) ◽  
pp. 125-139 ◽  
Author(s):  
TOSHIYA KAIHARA ◽  
SUSUMU FUJII
Keyword(s):  
Computer Simulation ◽  
Virtual Enterprise ◽  
Agile Manufacturing ◽  
Negotiation Process ◽  
Agent Technology ◽  
Computer Simulation Model ◽  
Simulation Experiments ◽  
Manufacturing Enterprises ◽  
Business Partners ◽  
Multi Agent

There is a growing recognition that current manufacturing enterprises must be agile, and the use of virtual enterprise (VE) is becoming increasingly prevalent in recent years. It is a very important and difficult activity in forming a virtual enterprise to select appropriate business partners, because each enterprise considers not only pursuing its profit but also sharing the risk to join the virtual enterprise. At first we propose a VE coalition algorithm based on multi-agent paradigm. Then we develop a computer simulation model to evaluate the proposed method by forming a virtual enterprise through multiple negotiations amongst several potential members in the negotiation domain. Finally, we clarify the coalition dynamism with the negotiation process. The effectiveness of the proposed concept in the agile manufacturing is discussed with several simulation experiments.

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