Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
710846 | IFAC-PapersOnLine | 2016 | 6 Pages |
Abstract
Effects of production planning and scheduling measures on the logistical capabilities of a company are limited by the production structure. The segmentation of production can help to improve logistical capabilities but is costly to implement. This paper researches opportunities to foresee the magnitude of possible improvements in logistical variables through segmentation by means of structural parameters as predictors. An approach is described to quantify segmentation potentials of numerous data sets and correlates those to potential predictors. Eight data sets are simulated concerning logistical capabilities in different structures to validate the approach.
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