A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm

2005 ◽  
Vol 45 (7-8) ◽  
pp. 949-957 ◽  
Author(s):  
Jian-Hung Chen ◽  
Shinn-Ying Ho
2019 ◽  
Vol 109 (04) ◽  
pp. 242-249
Author(s):  
A. Selmaier ◽  
T. Donhauser ◽  
T. Lechler ◽  
J. Zeitler ◽  
J. Franke

Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simulationsmodell der aktuelle Zustand solcher Systeme deutlich verbessert abgebildet werden. Der Beitrag stellt ein Konzept für die simulationsgestützte Produktionsplanung schnellveränderlicher Systeme vor.   While the behaviour of rigidly linked systems is relatively easy to model by means of material flow simulation, traditional simulation approaches are only suitable to a limited extent for flexible manufacturing systems due to the high data collection and parameterization effort. However, the use of real-time data can significantly improve the simulation of such systems. This paper presents an approach for simulation-based production planning of rapidly changing systems.


2011 ◽  
Vol 346 ◽  
pp. 412-418
Author(s):  
Shen Shen Gu

In the field of modern manufacturing, flexible manufacturing systems (FMS) is very important because it can scheduleand optimize multipurpose machines to produce multiple types of products. When applying the FMS technology, Petri Net is used to model the machines, parts and the whole manufacturing progress. The core concern of FMS is to make sure that the manufacturing system can transfer from the original state to the final state, which is called reachabilty. Therefore, reachability analysis is one of the most important problems of FMS. When Petri Net is acyclic, the reachability analysis can be performed by finding a integer solution to a set of linear equation, named fundamental equation, which is known to be NP-complete. In this paper, a novel approach for finding the integer solution is applied by adopting a revised version of the cell enumeration method for an arrangement of hyperplanes in discrete geometry to identify firing count vector solution(s) to the fundamental equation on a bounded integer set with a complexity bound of O((nu)n¡m),where n is the number of nodes, m is the number of arcs and u is the upper bound of the number of firings for all individual arcs.


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