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Mixed model assembly lines can be found today in many industrial environments.
Second, a team-oriented mathematical programming model for creating assembly teams (physical stations) in mixed model assembly lines is devised.
The design problem of mixed model assembly lines in a make-to-order environment is addressed in this paper.
Mixed- model assembly lines are common in automobile industry since they allow to produce a great variety of products in the same line.
Due to utilization of crossover workstations, balancing mixed model assembly lines in U-shaped line layouts is more complicated than that of straight lines.
For this reason the design and planning of mixed model assembly lines appears nowadays as a core competence where sequencing issues dealing with blockage and starvation caused by product variety need to be accounted for.
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The mixed model assembly line design methodology, which includes a team-oriented algorithm as a step, is proposed.
In this paper, first the literature of single and mixed model assembly line balancing, which plays an important role for the design of assembly systems, is reviewed.
Mixed-model assembly lines are production systems at which two or more models are assembled sequentially at the same line.
Vilarinho and Simaria (2002) develop a two-stage heuristic method for balancing mixed-model assembly lines.
Balancing and sequencing are two important challenging problems in designing mixed-model assembly lines.
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