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A methodology to form families of products by applying fuzzy logic

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An Erratum to this article was published on 04 June 2014

Abstract

More and more companies are designing product families with the aim of offering a wider variety of products and at the same time reducing product cost by standardizing components and processes, making mass customization a reality. This paper proposes a comprehensive methodology to form product families taking advantage of the ability of the fuzzy logic to tackle uncertainties. In this methodology, fuzzy logic is considered as a valuable tool to improve the decision-making process due to its ability to manage information more accurately than binary logic. This methodology is presented and explained through an illustrative application to demonstrate its applicability and practicality.

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Acknowledgments

The authors wish to acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC). This research was also supported by the Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT).

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Authors and Affiliations

  1. École Polytechnique de Montréal, Montreal, QC, Canada

    Marco Bajaras & Bruno Agard

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  1. Marco Bajaras
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  2. Bruno Agard
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Correspondence to Bruno Agard.

Appendix

Appendix

See Tables 21, 22, 23, 24.

Table 21 Customer preferences for each product feature
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Table 22 Fuzzy preference relation of cluster 2
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Table 23 Fuzzy preference relation of cluster 3
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Table 24 Fuzzy preference relation of customer X
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Bajaras, M., Agard, B. A methodology to form families of products by applying fuzzy logic. Int J Interact Des Manuf 9, 253–267 (2015). https://doi.org/10.1007/s12008-014-0230-7

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