Abstract
Aiming at the stochastic assembly balancing problem, the failure effect of stochastic operation times on the meta-heuristic algorithm and heuristic algorithm was analyzed. The concept to describe the completion rate of every station's minimum production interval with the given completion rate was proposed. An Assembly Balancing-II problem model under stochastic working hours was built by taking the completion rate as the evaluating indicator. A double-chromosome genetic algorithm was proposed to solve the model, and a classical example was used to verify the application of this model in stochastic assembly balancing. The result showed the effectiveness of this model.
| Original language | English |
|---|---|
| Pages (from-to) | 1372-1378 |
| Number of pages | 7 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 20 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2014 |
| Externally published | Yes |
Keywords
- Algorithm failure
- Assembly line balancing
- Genetic algorithms
- Mathematical model
- Stochastic operation times
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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