An object-oriented controller architecture for flexible parts feeding systems

Author(s):  
G. Causey
1983 ◽  
Vol 86 (773) ◽  
pp. 379-382
Author(s):  
Ken-ichi AZUMA ◽  
Yoshikazu SAKAUE ◽  
Yoshikazu KAWASHIMA ◽  
Shoichiro HARA

2001 ◽  
Vol 39 (11) ◽  
pp. 2279-2294 ◽  
Author(s):  
N. F. Edmondson ◽  
A. H. Redford

Author(s):  
C. P. Huang ◽  
S. Agarwal ◽  
F. W. Liou

Abstract Due to the advances in computer engineering technologies, currently much effort has been devoted to simulate the real world in a computer generated environment. However, there are always differences between a virtual environment and the real world, and those variations can be from the complexities and the uncertainties of initial conditions, contributing parameters and the models employed. Before a virtual environment is put into work for design and development, some way of quantifying possible errors or uncertainties in the computer model is needed so that a robust and reliable system can be achieved. The aim of this paper is to present a current case study on an augmented reality environment with 3-D tracking and dynamic simulation technologies for the parts feeding systems, so that engineers can run high-fidelity simulation to test new materials, components, and systems before investing valuable resources in construction.


Author(s):  
G.C. Causey ◽  
R.D. Quinn ◽  
N.A. Barendt ◽  
D.M. Sargent ◽  
W.S. Newman

2017 ◽  
Vol 117 (6) ◽  
pp. 1263-1294 ◽  
Author(s):  
Antonio Casimiro Caputo ◽  
Pacifico Marcello Pelagagge ◽  
Paolo Salini

Purpose The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines. Design/methodology/approach Event trees are adopted to model errors in the picking-handling-delivery-utilization of materials containers from the warehouse to assembly stations. Error probabilities and quality costs functions are developed to compare alternative feeding policies including kitting, line stocking and just-in-time delivery. A numerical case study is included. Findings This paper confirms with quantitative evidence the economic relevance of logistic errors (LEs) in parts feeding processes, a problem neglected in the existing literature. It also points out the most frequent or relevant error types and identifies specific corrective measures. Research limitations/implications While the model is general purpose, conclusions are specific to each applicative case and are not generalizable, and some modifications may be required to adapt it to specific industrial cases. When no experimental data are available, human error analysis should be used to estimate event probabilities based on underlying modes and causes of human error. Practical implications Production managers are given a quantitative decision tool to assess errors probability and errors correction costs in assembly lines parts feeding systems. This allows better comparing of alternative parts feeding policies and identifying corrective measures. Originality/value This is the first paper to develop quantitative models for estimating LEs and related quality cost, allowing a comparison between alternative parts feeding policies.


2000 ◽  
Vol 147 (3) ◽  
pp. 61 ◽  
Author(s):  
V. Cortellessa ◽  
G. Iazeolla ◽  
R. Mirandola

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