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   <subfield code="a">On the complexity of dynamic programming for sequencing problems with precedence constraints</subfield>
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   <subfield code="a">Dynamic programming has been successfully used in the past to solve a large class of precedence constrained sequencing problems including for example, the assembly line balancing problem and the total tardiness problem on a single machine. The main limitation of this method has been the amount of storage required, which is directly related to the number of ideals in the precedence structure. In this paper, we present classes for which this number can be efficiently computed, enabling us to decide, in advance, whether the storage requirements of dynamic programming would be excessive for the problem. We develop regression equations based on large-scale computational experiments, which lead to surprisingly good approximations for the number of ideals. We also report on a computational study, comparing the relative effectiveness of various implementations of dynamic programming. A common theme throughout the paper is that the width of the precedence constraints plays the most important role in determining the storage requirements of dynamic programming for a sequencing problem.</subfield>
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