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Hauptverfasser: van Heukelum, Harold, Binnekamp, Ruud, Wolfert, Rogier
Format: Preprint
Veröffentlicht: 2023
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Online-Zugang:https://arxiv.org/abs/2304.07168
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author van Heukelum, Harold
Binnekamp, Ruud
Wolfert, Rogier
author_facet van Heukelum, Harold
Binnekamp, Ruud
Wolfert, Rogier
contents Current systems design optimisation methodologies are one-sided, as these ignore the socio-technical integration between stakeholder preferences ('what a human wants') and the capability of technical assets ('what a system can deliver'). Moreover, classical multi-objective optimisation methods contain fundamental mathematical flaws. Also, the often-used classical Pareto front does not provide a single best-fit design configuration, but rather a set of design alternatives. This leaves designers without a unique solution to their problems. Finally, current multi-objective optimisation processes are not well aligned with design practices, because they do not sufficiently involve decision makers and do not translate their interests into a single common preference domain to find an overall group optimum. This paper introduces a new Open Design Systems (Odesys) methodology and a new Integrative Maximisation of Aggregated Preferences (IMAP) method, implemented in the Preferendus tool. Its added value and use are exemplified in two infrastructure design applications, which show how to achieve the pure best-fit for common-purpose design results.
format Preprint
id arxiv_https___arxiv_org_abs_2304_07168
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Socio-technical systems integration and design: a multi-objective optimisation method based on integrative preference maximisation
van Heukelum, Harold
Binnekamp, Ruud
Wolfert, Rogier
Optimization and Control
Current systems design optimisation methodologies are one-sided, as these ignore the socio-technical integration between stakeholder preferences ('what a human wants') and the capability of technical assets ('what a system can deliver'). Moreover, classical multi-objective optimisation methods contain fundamental mathematical flaws. Also, the often-used classical Pareto front does not provide a single best-fit design configuration, but rather a set of design alternatives. This leaves designers without a unique solution to their problems. Finally, current multi-objective optimisation processes are not well aligned with design practices, because they do not sufficiently involve decision makers and do not translate their interests into a single common preference domain to find an overall group optimum. This paper introduces a new Open Design Systems (Odesys) methodology and a new Integrative Maximisation of Aggregated Preferences (IMAP) method, implemented in the Preferendus tool. Its added value and use are exemplified in two infrastructure design applications, which show how to achieve the pure best-fit for common-purpose design results.
title Socio-technical systems integration and design: a multi-objective optimisation method based on integrative preference maximisation
topic Optimization and Control
url https://arxiv.org/abs/2304.07168