A new perspective on Workload Control by measuring operating performances through an economic valorization.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
26 08 2022
Historique:
received: 27 05 2022
accepted: 03 08 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 31 8 2022
Statut: epublish

Résumé

Workload Control (WLC) is a production planning and control system conceived to reduce queuing times of job-shop systems, and to offer a solution to the lead time syndrome; a critical issue that often bewilders make-to-order manufacturers. Nowadays, advantages of WLC are unanimously acknowledged, but real successful stories are still limited. This paper starts from the lack of a consistent way to assess performance of WLC, an important burden for its acceptance in the industry. As researchers often put more focus on the performance measures that better confirm their hypotheses, many measures, related to different WLC features, have emerged over years. However, this excess of measures may even mislead practitioners, in the evaluation of alternative production planning and control systems. To close this gap, we propose quantifying the main benefit of WLC in economic terms, as this is the easiest, and probably only way, to compare different and even conflicting performance measures. Costs and incomes are identified and used to develop an overall economic measure that can be used to evaluate, or even to fine tune, the operating features of WLC. The quality of our approach is finally demonstrated via simulation, considering the 6-machines job-shop scenario typically adopted as benchmark in technical literature.

Identifiants

pubmed: 36028740
doi: 10.1038/s41598-022-17968-5
pii: 10.1038/s41598-022-17968-5
pmc: PMC9418317
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14599

Informations de copyright

© 2022. The Author(s).

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Auteurs

Davide Mezzogori (D)

Department of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Via P. Vivarelli, 10, 41125, Modena, MO, Italy.

Giovanni Romagnoli (G)

Department of Engineering and Architecture, University of Parma, Viale delle Scienze, 181/A, 43124, Parma, PR, Italy. giovanni.romagnoli@unipr.it.

Francesco Zammori (F)

Department of Engineering and Architecture, University of Parma, Viale delle Scienze, 181/A, 43124, Parma, PR, Italy.

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