Resequencing and feature assignment on an automated assembly line

2003 ◽  
Vol 19 (1) ◽  
pp. 89-102 ◽  
Author(s):  
M. Lahmar ◽  
H. Ergan ◽  
S. Benjaafar
Keyword(s):  
Assembly Line ◽  
Automated Assembly ◽  
Feature Assignment

Evaluation of System Reconfigurability Based on Usable Excess

2014 ◽  
Author(s):  
Jeffrey D. Allen ◽  
Jason D. Watson ◽  
Christopher A. Mattson ◽  
Scott M. Ferguson
Keyword(s):  
Communication Systems ◽  
Assembly Line ◽  
Assembly Lines ◽  
Automated Assembly ◽  
Complex Engineered Systems ◽  
Future Needs ◽  
Key Factor ◽  
Long Time ◽  
Engineered Systems ◽  
Over Time

The challenge of designing complex engineered systems with long service lives can be daunting. As customer needs change over time, such systems must evolve to meet these needs. This paper presents a method for evaluating the reconfigurability of systems to meet future needs. Specifically we show that excess capability is a key factor in evaluating the reconfigurability of a system to a particular need, and that the overall system reconfigurability is a function of the system’s reconfigurability to all future needs combined. There are many examples of complex engineered systems; for example, aircraft, ships, communication systems, spacecraft and automated assembly lines. These systems cost millions of dollars to design and millions to replicate. They often need to stay in service for a long time. However, this is often limited by an inability to adapt to meet future needs. Using an automated assembly line as an example, we show that system reconfigurability can be modeled as a function of usable excess capability.

Design and Control of Genetic Algorithm-Based Multi-Station LED Chip Waxing Machine

2013 ◽  
Vol 805-806 ◽  
pp. 1856-1860
Author(s):  
Xiang Yu Sun ◽  
Ying Chun Zhang ◽  
Zuo Xun Wang ◽  
Tao Hao
Keyword(s):  
Genetic Algorithm ◽  
Assembly Line ◽  
Light Emitting Diode ◽  
Automated Assembly ◽  
Light Emitting ◽  
Single Station ◽  
Line Work ◽  
And Control ◽  
Serial Mode ◽  
Working Efficiency

Based on the existing LED (light emitting diode) chip waxing machine running in single-station serial mode, a multi-station LED chip waxing machine was designed which made creative improvements on the revolving platform of the waxing machine. Working efficiency was greatly increased with multi-station continuous parallel working mode. The control system used genetic algorithm-based PID (proportion integration differentiation) control to precisely control the revolving platform and all the manipulators, so that the waxing machine would carry out the fully automated assembly line work.

Automatisierte digitale Anlagenplanung*/Automated digital facility design - Method for automated assembly line planning

2017 ◽  
Vol 107 (09) ◽  
pp. 582-589
Author(s):  
J. Michniewicz ◽  
D. Leiber ◽  
F. Riedl ◽  
H. Erdogan ◽  
M. Hörmann ◽  
...  
Keyword(s):  
Assembly Line ◽  
Design Method ◽  
Life Cycles ◽  
Assembly Lines ◽  
Automated Assembly ◽  
Product Model ◽  
Line Planning ◽  
Digital Product ◽  
Planning Decisions ◽  
Planning Approach

In der Produktion technischer Erzeugnisse sind Montageanlagen heute weit verbreitet. Durch immer kürzer werdende Produktlebenszyklen und die zunehmende Variantenvielfalt steigt auch die Zahl der durchzuführenden Anlagen(um)planungen. Vorgestellt wird ein Konzept, um automatisiert Entwürfe für Montageanlagen zu generieren. Auswahl und Anordnung der benötigten Betriebsmittel erfolgen dabei ausgehend von einem digitalen Modell des Produktes sowie einer Bibliothek verfügbarer Ressourcen. Die getroffenen Planungsentscheidungen werden simulativ abgesichert und heuristisch optimiert.   Nowadays, assembly lines are widely used for the production of goods. Due to shorter life cycles and increasing variance of products to be manufactured, assembly systems have to be (re)configured more frequently. This paper presents a concept to automatically generate drafts of complete assembly lines. Basis for the planning approach is a library of available resources and a digital product model. An algorithm selects, combines and arranges suitable resources. The planning decisions are heuristically optimized and verified by simulation.

Experimental System Used for Traceability in an Automated Assembly Line

2003 ◽  
Vol 36 (23) ◽  
pp. 131-136
Author(s):  
Mădălin Ştefan Vlad ◽  
Mihai Ceaparu ◽  
Valentin Sgârciu
Keyword(s):  
Assembly Line ◽  
Experimental System ◽  
Automated Assembly
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