Abstract
In this study, a production control problem on a flexible assembly line (FAL) with flexible operation assignment and variable operative efficiencies is investigated. A mathematical model of the production control problem is formulated with the consideration of the time-constant learning curve to deal with the change of operative efficiency in real-life production. An intelligent production control decision support (PCDS) system is developed, which is composed of a radio frequency identification technology-based data capture system, a PCDS model comprising a bi-level genetic optimization process and a heuristic operation routing rule is developed. Experimental results demonstrated that the proposed PCDS system could implement effective production control decision-making for solving the FAL.
| Original language | English |
|---|---|
| Pages (from-to) | 4268-4277 |
| Number of pages | 10 |
| Journal | Expert Systems with Applications |
| Volume | 36 |
| Issue number | 3 PART 1 |
| DOIs | |
| Publication status | Published - 1 Apr 2009 |
Keywords
- Decision support system
- Flexible assembly lines
- Genetic algorithms
- Learning curves
- Production control
- Radio frequency identification
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Artificial Intelligence