Approach for the prediction of production segmentation potential

Christina Reuter; Felix Brambring; Melanie Luckert; Philipp Hünnekes

doi:10.1016/j.ifacol.2016.03.008

Approach for the prediction of production segmentation potential

Christina Reuter, Felix Brambring, Melanie Luckert, Philipp Hünnekes

RWTH Aachen University

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	42-47
Number of pages	6
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	49
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2016.03.008
State	Published - 2016
Externally published	Yes

Keywords

material flow
parameter identification
production logistics
production planning and control
production systems
simulation

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10.1016/j.ifacol.2016.03.008

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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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AU - Luckert, Melanie

AU - Hünnekes, Philipp

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AB - 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.

KW - material flow

KW - parameter identification

KW - production logistics

KW - production planning and control

KW - production systems

KW - simulation

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JF - IFAC Proceedings Volumes (IFAC-PapersOnline)

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Approach for the prediction of production segmentation potential

Abstract

Keywords

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