Measuring manufacturing system complexity: a literature review
Germán Herrera Vidal (),
Jairo R. Coronado-Hernández () and
Claudia Minnaard ()
Additional contact information
Germán Herrera Vidal: Fundacion Universitaria Tecnológico Comfenalco
Jairo R. Coronado-Hernández: Universidad de La Costa
Claudia Minnaard: Universidad Nacional Lomas de Zamora
Journal of Intelligent Manufacturing, 2023, vol. 34, issue 7, No 1, 2865-2888
Abstract:
Abstract The measurement of complexity is a metric that can be used as a restructuring parameter in a production system, and it is also useful for the analysis of improvements based on the impact of operational indicators. This article aims to review the literature on the measurement of complexity in manufacturing systems. For this purpose, a systematic method based on six stages has been used, with the support of databases and computer media. In terms of contribution, it is worth highlighting that the theory of complexity is immersed in manufacturing systems, represented in approaches, methods, elements and models for its measurement. From the results, the research aims to find vectors for future challenges and gaps that support the strengthening of the industrial environment.
Keywords: Complexity; Manufacturing systems; Measuring (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10845-022-01974-5 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:joinma:v:34:y:2023:i:7:d:10.1007_s10845-022-01974-5
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845
DOI: 10.1007/s10845-022-01974-5
Access Statistics for this article
Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak
More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().