An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks
Procedia Computer Science, vol. 200, pp. 194–204
Abstract
In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance.
Authors 6
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Jan-Phillip Herrmann corresponding
Ostwestfalen-Lippe University of Applied Sciences and Arts
Affiliation as printed
Ostwestfalen-Lippe University of Applied Sciences and Arts, Campusallee 12, 32657 Lemgo, Germany
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Ostwestfalen-Lippe University of Applied Sciences and Arts
Affiliation as printed
Ostwestfalen-Lippe University of Applied Sciences and Arts, Campusallee 12, 32657 Lemgo, Germany
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Affiliation as printed
University of Trieste, Piazzale Europa 1, 34127 Trieste, Italy
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Affiliation as printed
INFORM Institute for Operations Research and Management GmbH, Pascalstr. 35, 52076 Aachen, Germany
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Affiliation as printed
INFORM Institute for Operations Research and Management GmbH, Pascalstr. 35, 52076 Aachen, Germany
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Affiliation as printed
INFORM Institute for Operations Research and Management GmbH, Pascalstr. 35, 52076 Aachen, Germany
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