Assessing to what extent smart manufacturing builds on lean principles

Jos A.C. Bokhorst*, Wilfred Knol, Jannes Slomp, Thomas Bortolotti

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

13 Citaten (Scopus)
201 Downloads (Pure)

Samenvatting

This study explores to what extent the adoption and performance of smart manufacturing technologies builds on the adoption of lean principles. Primary explorative survey data on the level of adoption of smart manufacturing technologies and lean principles and various operational performance outcomes were collected from a set of Dutch manufacturers and analysed using Cluster Analysis, ANOVA, and Necessary Condition Analysis (NCA). The Cluster Analysis shows that while lean is also applied without smart (“lean-only” companies), smart technologies are mostly applied in conjunction with lean (“lean and smart” companies), suggesting that the presence of lean principles is necessary for smart implementation. A third group of companies shows a low use of lean and smart (“non-adopters”). The NCAs further specify the extent of this necessity by showing that all individual smart manufacturing technologies used in our construct require presence of lean principles, with MES systems having the strongest dependency. Performance wise, lean-only and lean and smart companies have comparable superior performance compared to non-adopters when considering an aggregate operational performance measure using the dimensions of quality, delivery, flexibility and cost. When analysed separately, the aggregate level results remain true for quality and delivery performance. However, for flexibility, the superiority of lean-only companies is more apparent, while for cost, lean and smart companies are superior. This shows that implementing smart requires lean, but lean may suffice depending on the specific performance objectives strived for.

Originele taal-2English
Artikelnummer108599
Aantal pagina's12
TijdschriftInternational Journal of Production Economics
Volume253
DOI's
StatusPublished - nov.-2022

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