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Kimms, Alf
Drexl, Andreas
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Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 407
This contribution generalizes the work of Drexl and Haase about the so-called proportional lot sizing and scheduling problem which was published in 1995. While the early paper considers single-level cases only, the paper at hand describes multi-level problems. 1t provides mixed-integer programs for several important extensions which differ in the allocation of resources. A generic solution method is presented and, following the preceding paper, a randomized regret based sampling method is tested. A computational study proves that, even for the multi-level case which is far more complex than the single-level problem, promising results are gained.
Multi-level lot sizing
random sampling
Document Type: 
Working Paper
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Digitized Version

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