Back to Search
Start Over
Developing a multi-objective genetic optimisation approach for an operational design of a manual mixed-model assembly line with walking workers
- Source :
- Journal of Intelligent Manufacturing. 27:1049-1065
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
Abstract
- A walking worker assembly line (WWAL), in which each cross-trained worker travels along the line to carry out all required tasks, is an example of lean system, specifically designed to respond quickly and economically to the fluctuating nature of market demands. Because of the complexity of WWAL design problems, classical heuristic approaches are not capable of solving problematic design characteristic of WWAL of very large design space. This paper presents a new genetic approach to address the mixed model walking worker manual assembly line optimisation design problem with multiple objectives. The aim is to select a set of operational variables to perform to the required demand for two product models. The goal is to produce the required models at the lowest cost possible, whilst keeping within an ergonomically balanced operation. Genetic algorithms are developed to tackle this problem. This paper describes the fundamental structure of this approach, as well as the influence of the crossover probability, the mutation probability and the size of the population on the performance of the genetic algorithm. The paper also presents an application of a developed algorithm to the operational design problem of plastic electrical box assembly line. Refereed/Peer-reviewed
- Subjects :
- 0209 industrial biotechnology
Engineering
Mathematical optimization
Heuristic (computer science)
Crossover
Population
02 engineering and technology
Lean manufacturing
Industrial and Manufacturing Engineering
genetic algorithms
Set (abstract data type)
020901 industrial engineering & automation
walking workers
Artificial Intelligence
Genetic algorithm
0202 electrical engineering, electronic engineering, information engineering
manual assembly line
education
Structure (mathematical logic)
education.field_of_study
business.industry
multiple objectives
020201 artificial intelligence & image processing
Line (text file)
business
Software
operational design
Subjects
Details
- ISSN :
- 15728145 and 09565515
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent Manufacturing
- Accession number :
- edsair.doi.dedup.....356a71542c6ae36707c868819ac92774