Computers and Operations Research
A dynamic programming approach to stochastic assembly line balancing
Management Science
Solving fuzzy assembly-line balancing problem with genetic algorithms
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
Minimax chance constrained programming models for fuzzy decision systems
Information Sciences: an International Journal
Programming Microsoft Office 2000 Web Components with Cdrom
Programming Microsoft Office 2000 Web Components with Cdrom
Uncertain Programming
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Human factor policy testing in the sequencing of manual mixed model assembly lines
Computers and Operations Research
Combining heuristic procedures and simulation models for balancing a PC camera assembly line
Computers and Industrial Engineering
Multi-colony ant algorithm for parallel assembly line balancing with fuzzy parameters
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
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Assembly line balancing problem (ALBP) means assigning a series of task elements to uniform sequential stations under certain restrictions. This paper considers a special type of assembly line balancing problem with mixed models, fuzzy operation times and drifting operations, which has the objective of minimizing the total work overload time. According to chance constrained programming, a fuzzy α total work overload time minimization model is built. Moreover, fuzzy simulation and genetic algorithm are integrated to design a hybrid intelligent algorithm to solve the above model. Finally, Extensive computational results are reported to demonstrate the efficiency and effectiveness of the algorithm.