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Authors: Reiner Anderl ; Sebastian Maltzahn and Daniel Spieß

Affiliation: Technische Universität Darmstadt, Germany

ISBN: 978-989-674-012-2

Keyword(s): Variant diversity, Variant decision, Planning diversity, Decision support.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Decision Support Systems ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems

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.

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Paper citation in several formats:
Anderl R.; Maltzahn S.; Spieß D. and (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

@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},
}

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

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