A two-phase part family formation model to optimize resource planning: a case study in the electronics industry

Imen Zaabar (), Vladimir Polotski, Léon Bérard, Boujemaa El-Ouaqaf, Yvan Beauregard and Marc Paquet
Additional contact information
Imen Zaabar: École de technologie supérieure
Vladimir Polotski: École de technologie supérieure
Léon Bérard: IBM
Boujemaa El-Ouaqaf: IBM
Yvan Beauregard: École de technologie supérieure
Marc Paquet: École de technologie supérieure

Operational Research, 2022, vol. 22, issue 4, No 38, 4469 pages

Abstract: Abstract While clustering is a powerful methodology used for grouping objects into families, it is hard to conceive a natural object grouping method without considering the context of a particular application. In high-dimensional problems with large volumes and rapidly evolving part flows, many clustering methods have traditionally been used to form part families considering similarities. In this paper, a two-phase clustering method is developed to optimize the grouping process under technological constraints, in a bid to improve resource planning. The first phase consists in forming part families using the Agglomerative Hierarchical Clustering approach, considering multidimensional parametrization of the part, while in the second phase, the optimal number of clusters is determined using ELECTRE III, which serves to handle uncertainty. Based on a real case study in the electronics industry, an improved production planning solution is proposed to validate the method’s efficiency. The solution was compared to the in-use method to highlight its added value.

Keywords: Part family formation; Composite part; Clustering; Multi-criteria decision-making; ELECTRE III (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12351-021-00682-x 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:22:y:2022:i:4:d:10.1007_s12351-021-00682-x

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

DOI: 10.1007/s12351-021-00682-x

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 ().