Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management
Timo M\"uller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi and, Michael Weyrich

TL;DR
This paper introduces a universal methodology for intelligently exploring complex solution spaces by dividing problems into interdependent layers and sub-spaces, demonstrated through an industrial reconfiguration management case in Industry 4.0.
Contribution
It presents a novel approach to explore solution spaces efficiently by hierarchical and sub-space division, applicable to complex industrial decision-making problems.
Findings
Effective hierarchical exploration of solution spaces.
Application to industrial reconfiguration management.
Potential for improved decision-making efficiency.
Abstract
Many decision-making approaches rely on the exploration of solution spaces with regards to specified criteria. However, in complex environments, brute-force exploration strategies are usually not feasible. As an alternative, we propose the combination of an exploration task's vertical sub-division into layers representing different sequentially interdependent sub-problems of the paramount problem and a horizontal sub-division into self-sustained solution sub-spaces. In this paper, we present a universal methodology for the intelligent exploration of solution spaces and derive a use-case specific example from the field of reconfiguration management in industry 4.0.
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Taxonomy
TopicsFlexible and Reconfigurable Manufacturing Systems · Product Development and Customization · Collaboration in agile enterprises
