Fast, effective algorithms for simple assembly line balancing problems
Operations Research
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms for assembly line balancing with various objectives
Computers and Industrial Engineering - Special issue: IE in Korea
A heuristic-based genetic algorithm for workload smoothing in assembly lines
Computers and Operations Research
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines
Computers and Industrial Engineering
A team-oriented design methodology for mixed model assembly systems
Computers and Industrial Engineering
Cooperator selection and industry assignment in supply chain network with line balancing technology
Expert Systems with Applications: An International Journal
A goal programming mixed-model line balancing for processing time and physical workload
Computers and Industrial Engineering
Balancing of mixed-model two-sided assembly lines
Computers and Industrial Engineering
Advances in Engineering Software
Non-identical parallel machine scheduling using genetic algorithm
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Rule-based modeling and constraint programming based solution of the assembly line balancing problem
Expert Systems with Applications: An International Journal
A hybrid genetic algorithm for multi-objective product plan selection problem with ASP and ALB
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A heuristic approach for U-shaped assembly line balancing to improve labor productivity
Computers and Industrial Engineering
Assembly line balancing under uncertainty: Robust optimization models and exact solution method
Computers and Industrial Engineering
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Mixed-model assembly lines allow for the simultaneous assembly of a set of similar models of a product, which may be launched in the assembly line in any order and mix. As current markets are characterized by a growing trend for higher product variability, mixed-model assembly lines are preferred over the traditional single-model assembly lines. This paper presents a mathematical programming model and an iterative genetic algorithm-based procedure for the mixed-model assembly line balancing problem (MALBP) with parallel workstations, in which the goal is to maximise the production rate of the line for a pre-determined number of operators. The addressed problem accounts for some relevant issues that reflect the operating conditions of real-world assembly lines, like zoning constraints and workload balancing and also allows the decision maker to control the generation of parallel workstations.