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Interactive Design Optimization of Layout Problems

Authors :
Fouad Bennis
Yannick Ravaut
Xiaoxiao Song
Emilie Poirson
Source :
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

Layout optimization plays an important role in the field of industrial engineering. The layout problem presented here involves the real and virtual rectangular components. The real components can be the devices or buildings depending on the application. The space of accessibility associated with the real component is virtual, which allows the user to access the real component in reality, such as facility maintenance. However, most of the layout problems are NP hard. The great complexity of layout problems increase the difficulty in finding a feasible layout design in a reasonable time. To resolve these problems, we propose a hybrid constructive placing strategy which makes the search of feasible designs easier. The multi-objective application presented in this study demonstrates the effectiveness and portability of the method. Since the number of optimal layout designs can be very large, a cluster approach is followed to group all similar solutions. First, the notion of pairwise similarity indicator is introduced to analyze the similarity among the optimized layout designs. Second, the visualization of the hierarchical clustering of similarity matrix is customized. Then for each design, the user can interact with it by locally modifying the position or rotation of the component. The interactivity helps the user evaluate performance of the designs and preferable results are typically achieved.

Details

ISBN :
978-3-030-85913-8
ISBNs :
9783030859138
Database :
OpenAIRE
Journal :
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
Accession number :
edsair.doi...........8da0ae2d170311087a2bf3741136b7ac
Full Text :
https://doi.org/10.1007/978-3-030-85914-5_41