Flexible production lines for series production of automotive electric drives

2012 ◽  
Author(s):  
G. Lanza ◽  
J. Stoll ◽  
A. Koelmel ◽  
S. Peters
Keyword(s):  
Flexible Production ◽  
Series Production ◽  
Production Lines ◽  
Electric Drives

Accuracy of Rapid Prototyped Models with Using of FDM Technology

2014 ◽  
Vol 613 ◽  
pp. 390-395 ◽  
Author(s):  
Juraj Beniak ◽  
Peter Križan ◽  
Miloš Matúš
Keyword(s):  
Rapid Prototyping ◽  
Engineering Industry ◽  
Innovative Technology ◽  
Series Production ◽  
Production Lines ◽  
Machine Shop ◽  
Milling Machines ◽  
Conventional Technology ◽  
Short Run ◽  
Product Creation

Conventional technology are also today the main technology used for production of parts in mechanical engineering industry. In every machine shop we can see turning machines, milling machines, drilling machines and others. These machines are generally controlled by computers. But the modern production lines and production companies use also innovative technology to make production more effective, faster, less expensive. With regards of mentioned factors is possible to use also rapid prototyping technology, which can help in product developing, prototype creating but also in short-run or middle series production. Rapid prototyping technology include different techniques for product creation, using different procedures leading to various outputs. The final product can be made from various materials and parts can be used for several applications.

Scheduling Flexible Production Lines with No Intermediate Buffers by Hybrid Algorithms

2012 ◽  
Vol 557-559 ◽  
pp. 2229-2233
Author(s):  
Bing Gang Wang
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Algorithm ◽  
Initial Population ◽  
Flexible Production ◽  
Scheduling Problems ◽  
Production Lines ◽  
Solution Quality ◽  
Mutation Operators ◽  
Crossover And Mutation ◽  
Better Than

This paper is concerned about the scheduling problems in flexible production lines with no intermediate buffers. The optimization objective is to minimizing the makespan. The mathematical models are presented. Since the problem is NP-hard, a hybrid algorithm, based on genetic algorithm and tabu search, is put forward for solving the models. In this algorithm, the method of generating the initial population is proposed and the crossover and mutation operators, tabu list, and aspiration rule are newly designed. The performance of the hybrid algorithm is compared with that of the traditional genetic algorithm. The computational results show that satisfactory solutions can be obtained by the hybrid algorithm and it performs better than the genetic algorithm in terms of solution quality.

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