Mixed-model production systems are widely adopted by manufacturing companies in a broad range of industries where customers demand a variety of models of the same product, Monden [22], Sawik [149], and Boysen et al. [150]. Automotive and electronics industries are two well-known examples with well-established presence of different options that create a tremendous variety of models of a single product. At the same time the demand for a particular model is often insufficient to warrant dedicated production resources for the model, instead the resources have to be shared by a whole collection of models. Thus, operating such mixed-model manufacturing systems efficiently is a challenging problem that has been widely studied in the operations management literature particularly with the goal to reduce their inherent variability.


Setup Time Assignment Problem Axiomatic Approach Axiomatic Method Time Bucket 
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© Springer Science+Business Media, LLC 2009

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