AN APPROACH TO SUPPORT INTERDISCIPLINARY VARIANT DIVERSITY OPTIMIZATION - Planning Variant Diversity – Beyond Complexity Reduction

Reiner Anderl, Sebastian Maltzahn, Daniel Spieß

Abstract

The increasing number of variants in manufacturing companies’ product ranges leads to rising costs due to process and product complexity. The expected profit of higher diversity is often overrated while its costs are underestimated because of missing methods and insufficient process transparency. This paper introduces a methodical approach to identify the optimal diversity considering available capacities and the effects on profit and costs for each variant to support variant decisions within the product and process planning. Therefore a mathematical model of the described diversity planning problem is developed. This complex decision problem is solved using a particle swarm algorithm, which is able to compute the optimal solution within reasonable time. The found solutions can be discussed and evaluated by an interdisciplinary planning team considering even qualitative aspects, leading to an increased transparency in the decision process.

References

  1. Alders, K., 2006. Komplexitäts- und Variantenmanagement der AUDI AG. In: Lindemann, U.; Reichwald, R.; Zäh M.F.(Ed.): Individualisierte Produkte - Komplexität beherrschen in Entwicklung und Produktion. Springer Berlin et al.
  2. Rathnow, P., 1993. Integriertes Variantenmanagement: Bestimmung, Realisierung und Sicherung der optimalen Produktvielfalt. Vandenhoek und Ruprecht Göttingen.
  3. Heina, J., 1999. Variantenmanagement - Kosten-NutzenBewertung zur Optimierung der Variantenvielfalt. Gabler Wiesbaden.
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Paper Citation


in Harvard Style

Anderl R., Maltzahn S. and Spieß D. (2009). AN APPROACH TO SUPPORT INTERDISCIPLINARY VARIANT DIVERSITY OPTIMIZATION - Planning Variant Diversity – Beyond Complexity Reduction . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009) ISBN 978-989-674-012-2, pages 408-411. DOI: 10.5220/0002295404080411


in Bibtex Style

@conference{keod09,
author={Reiner Anderl and Sebastian Maltzahn and Daniel Spieß},
title={AN APPROACH TO SUPPORT INTERDISCIPLINARY VARIANT DIVERSITY OPTIMIZATION - Planning Variant Diversity – Beyond Complexity Reduction},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)},
year={2009},
pages={408-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002295404080411},
isbn={978-989-674-012-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)
TI - AN APPROACH TO SUPPORT INTERDISCIPLINARY VARIANT DIVERSITY OPTIMIZATION - Planning Variant Diversity – Beyond Complexity Reduction
SN - 978-989-674-012-2
AU - Anderl R.
AU - Maltzahn S.
AU - Spieß D.
PY - 2009
SP - 408
EP - 411
DO - 10.5220/0002295404080411