Multilayer Network-Based Production Flow Analysis
Joint Authors
Honti, Gergely Marcell
Abonyi, Janos
Ruppert, Tamás
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
A multilayer network model for the exploratory analysis of production technologies is proposed.
To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are transformed into a set of bi- and multipartite networks.
This representation is beneficial in production flow analysis (PFA) that is used to identify improvement opportunities by grouping similar groups of products, components, and machines.
It is demonstrated that the goal-oriented mapping and modularity-based clustering of multilayer networks can serve as a readily applicable and interpretable decision support tool for PFA, and the analysis of the degrees and correlations of a node can identify critically important skills and resources.
The applicability of the proposed methodology is demonstrated by a well-documented benchmark problem of a wire-harness production process.
The results confirm that the proposed multilayer network can support the standardized integration of production-relevant data and exploratory analysis of strongly interconnected production systems.
American Psychological Association (APA)
Ruppert, Tamás& Honti, Gergely Marcell& Abonyi, Janos. 2018. Multilayer Network-Based Production Flow Analysis. Complexity،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1134999
Modern Language Association (MLA)
Ruppert, Tamás…[et al.]. Multilayer Network-Based Production Flow Analysis. Complexity No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1134999
American Medical Association (AMA)
Ruppert, Tamás& Honti, Gergely Marcell& Abonyi, Janos. Multilayer Network-Based Production Flow Analysis. Complexity. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1134999
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134999