1. Proceedings
  2. I3M
  3. 2022
  4. MAS
  5. 10.46354/i3m.2022.mas.001

Automation of the Manufacturing Process Mapping in the Context of VSM by Utilization of ERP Data

  • a Tim Wollert ,
  • b Fabian Behrendt
  • a Doctoral Center for Social, Health and Economic Sciences, Magdeburg-Stendal University of Applied Sciences
    Osterburger Str. 25, Stendal, 39576, Germany
  • b Department of Economic, Magdeburg-Stendal University of Applied Sciences, Osterburger Str. 25, Stendal, 39576, Germany
Cite as
Wollert T., and Behrendt F., (2022).,Automation of the Manufacturing Process Mapping in the Context of VSM by Utilization of ERP Data. Proceedings of the 21st International Conference on Modelling and Applied Simulation MAS 2022). , 001 . DOI: https://doi.org/10.46354/i3m.2022.mas.001

Abstract

Value stream management (VSM) as part of lean management is a holistic approach for mapping, analyzing and designing endto-end supply chains from suppliers to customers from a company’s perspective. The method aims at the systematical identification and elimination of wastes to reduce lead time and by this the overall costs. In its conventional methodology, VSM, especially the mapping of the as-is value stream, is time consuming and resource intensive due to a mainly manual procedure, which necessitate multiple recording cycles to ensure a reliable data quality. Due to changing conditions in the fields of applications, e. g. intensifying competition and higher varieties of products, companies are forced to become more flexible to secure and strengthen future market positions. Against this background the inflexible characteristic of the conventional VSM is a major disadvantage, threatening its future viability. The targeted combination of the existing field-tested framework and the application potentials of modern information and communication technologies (ICT) plays an important role in eliminating the mentioned disadvantage of VSM. The present paper deals with the topic of automizing the manufacturing process mapping by utilizing data provided by enterprise resource planning (ERP) systems. For this purpose, the elementary indicators of VSM with focus on the manufacturing process, recorded during an on-site visit, are reviewed. Based on this review, related business and data objects of common ERP are identified and mapped to the specific indicators. Furthermore, calculation rules for indicators, not covered by ERP-systems, are proposed. Finally, a data framework as modular enhancement of the conventional VSM methodology is provided, which supports the automation of the mapping process and by this reduces manual efforts.

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