Picking Process Variability in Small and Medium-Sized Enterprises: State of the Art and Knowledge Modeling

Daniel Hilpoltsteiner, Stephanie Bäuml, Christian Seel

2018

Abstract

Information modelling is an established standard for knowledge representation in companies. However, small and medium-sized companies (SME) often lack the resource to use it for their own purpose. In this paper a solution to model business process variability in order picking processes is discussed. Therefore we did a knowledge extraction from different companies using a questionnaire, expert interviews and workshops with different experts from the field of production logistics in SME has been done. Based on their knowledge different variants of order picking processes in SME were defined and put together in an adaptive process model. Using configuration terms to enrich the adaptive process model allows the distinction between these different variants. Based on different influencing factors a specific process variant can be generated from the process model using element selection and further process optimizations including introducing new technologies can be made.

Paper Citation

in Harvard Style

Hilpoltsteiner D., Bäuml S. and Seel C. (2018). Picking Process Variability in Small and Medium-Sized Enterprises: State of the Art and Knowledge Modeling. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 3: KMIS; ISBN 978-989-758-330-8, SciTePress, pages 120-127. DOI: 10.5220/0006896901200127

in Bibtex Style

@conference{kmis18,
author={Daniel Hilpoltsteiner and Stephanie Bäuml and Christian Seel},
title={Picking Process Variability in Small and Medium-Sized Enterprises: State of the Art and Knowledge Modeling},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 3: KMIS},
year={2018},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006896901200127},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 3: KMIS
TI - Picking Process Variability in Small and Medium-Sized Enterprises: State of the Art and Knowledge Modeling
SN - 978-989-758-330-8
AU - Hilpoltsteiner D.
AU - Bäuml S.
AU - Seel C.
PY - 2018
SP - 120
EP - 127
DO - 10.5220/0006896901200127
PB - SciTePress