Simon Emde () (Chair of Operations Management, Friedrich-Schiller-University Jena) Nils Boysen () (Chair of Operations Management, Friedrich-Schiller-University Jena) Armin Scholl () (Chair of Decision Analysis and Management Science, Friedrich-Schiller-University Jena)
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Mixed-model assembly lines are widely used in a range of production settings, such as the final assembly of the automotive and electronics industries, where they are applied to mass-produce standardized commodities. One of the greatest challenges when installing and reconfiguring these lines is the vast product variety modern mixed-model assembly lines have to cope with. Traditionally, product variety is bypassed during mid-term assembly line balancing by applying a joint precedence graph, which represents an (artificial) average model and serves as the input data for a single model assembly line balancing procedure. However, this procedure might lead to considerable variations in the station times, so that serious sequencing problems emerge and work overload threatens. To avoid these difficulties different extensions of assembly line balancing for workload smoothing, i.e., horizontal balancing, have been introduced in the literature. The paper on hand introduces a multitude of known and yet unknown objectives for workload smoothing and systematically tests these measures in a comprehensive computational study. The results suggest that workload smoothing is an essential task in mixed-model assembly lines and that some (of the newly introduced) objectives are superior to others.
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