Quantitative Process Maps - A Concept for Prioritization of Business Process Improvement Projects

Christina Thomas, Timo Nuyken

2014

Abstract

Modern large-scale companies are facing the challenge of how to prioritize improvement projects for business processes. This article offers a concept on how to approach this challenge using quantitative process maps. For the process maps treemaps are used, visualizing the most important processes of a company and the degree of needed change. Inside the article, the way to build up the process map, deriving important processes from the strategy and evaluating them regarding risks, maturity level, key performance indicators and given improvement ideas from idea management, is described. The paper also offers a concept for building up responsibilities and structuring the yearly process for process optimization.

References

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Paper Citation


in Harvard Style

Thomas C. and Nuyken T. (2014). Quantitative Process Maps - A Concept for Prioritization of Business Process Improvement Projects . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014) ISBN 978-989-758-050-5, pages 441-446. DOI: 10.5220/0005173404410446


in Bibtex Style

@conference{kmis14,
author={Christina Thomas and Timo Nuyken},
title={Quantitative Process Maps - A Concept for Prioritization of Business Process Improvement Projects},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014)},
year={2014},
pages={441-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005173404410446},
isbn={978-989-758-050-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2014)
TI - Quantitative Process Maps - A Concept for Prioritization of Business Process Improvement Projects
SN - 978-989-758-050-5
AU - Thomas C.
AU - Nuyken T.
PY - 2014
SP - 441
EP - 446
DO - 10.5220/0005173404410446