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2018 | OriginalPaper | Buchkapitel

A Hybrid Approach to Implement Data Driven Optimization into Production Environments

verfasst von : Rachaa Ghabri, Pascal Hirmer, Bernhard Mitschang

Erschienen in: Business Information Systems

Verlag: Springer International Publishing

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Abstract

The potential of data analytics to improve business processes is commonly recognized. Despite the general enthusiasm, the implementation of data-driven methods in production environments remains low. Although established models, such as CRISP-DM, offer a structured process in order to deploy data analytics in the industry, manufacturing companies still need to choose a starting point, assess the business benefit, and determine a pragmatic course of action. In this paper, we introduce an approach to handle these issues based on a case study from automotive manufacturing. The results are discussed based on a set of requirements derived from the case study.

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Metadaten
Titel
A Hybrid Approach to Implement Data Driven Optimization into Production Environments
verfasst von
Rachaa Ghabri
Pascal Hirmer
Bernhard Mitschang
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-93931-5_1

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