A survey of exact algorithms for the simple assembly line balancing problem
Management Science
Computers and Industrial Engineering
Dynamic scheduling I: simulation-based scheduling for dynamic discrete manufacturing
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Expert Systems with Applications: An International Journal
Intelligent Decision Technologies
A hybrid intelligent model for order allocation planning in make-to-order manufacturing
Applied Soft Computing
Modeling and Pareto optimization of multi-objective order scheduling problems in production planning
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
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.