Enhanced Decision Support for Multi-Objective Factory Layout Optimization: Integrating Human Well-Being and System Performance Analysis

Enhanced Decision Support for Multi-Objective Factory Layout Optimization: Integrating Human Well-Being and System Performance Analysis

This paper presents a decision support approach to enable decision-makers to identify no-preference solutions in multi-objective optimization for factory layout planning. Using a set of trade-off solutions for a battery production assembly station, a decision support method is introduced to select t...

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Bibliographic Details
Main Authors: Andreas Lind, Veeresh Elango, Sunith Bandaru, Lars Hanson, Dan Högberg
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
factory layout
optimization
decision support
Industry 4.0–5.0
Online Access:https://www.mdpi.com/2076-3417/14/22/10736
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