Enhancing operational research in mechatronic systems via modularization: comparative analysis of four clustering algorithms using validation indices

Ioannis Mikrou and Nickolas S. Sapidis ()
Additional contact information
Ioannis Mikrou: University of Western Macedonia
Nickolas S. Sapidis: University of Western Macedonia

Operational Research, 2024, vol. 24, issue 4, No 11, 44 pages

Abstract: Abstract Modularization is one of the most robust methods that industries use to profit. This technique allows Operational Research to manage complex systems by efficiently dividing them into smaller ones and thus lowering the affiliated risks and costs. Mechatronic products are complex systems associated with diverse disciplines, laborious to compose and decompose, and can benefit from modularization. In this research, Partitioning Around Medoids (PAM), Ward’s method, Divisive ANAlysis (DIANA), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms are utilized in combination with Design Structure Matrices (DSM) to cluster 175 test subjects, and their results are compared using four validation techniques. Agglomerative Coefficient (AC), Divisive Coefficient (DC), Silhouette Coefficient (SC), Composed Density between and within clusters (CDbw), and the visual inspection of two-dimensional representations of each algorithm's clustering results are the validation techniques used in this research to find the most suitable algorithm for clustering such intricate systems. Additionally, other data that emerged from this research, such as time complexity, total execution time, and average RAM usage, are also used to evaluate the overall performance of each clustering algorithm.

Keywords: Operation research software; Clustering; DSM models; Mechatronics; Clustering validation techniques (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-024-00872-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:24:y:2024:i:4:d:10.1007_s12351-024-00872-3

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-024-00872-3

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().