Advanced use of Data as an Enabler for Adaptive Production Control using Mathematical Optimization – An Application of Industry 4.0 Principles
Artikel i vetenskaplig tidskrift, 2017

This paper deals with the need for more advanced and mathematically based planning and scheduling tools for production systems with complex flows which are subjected to constant change. To develop and utilise such tools, better data acquisition and aggregation from the operational level on the shop floor is needed. An information infrastructure has been proposed to enable this novel type of optimized adaptive scheduling to achieve significant improvements in production efficiency. The solution is based on a system architecture and an information infrastructure with a middleware that provides a specific production cell with all the data relevant for scheduling.

Adaptive production planning

Information architecture

Industry 4.0



Johan Vallhagen

Chalmers, Produkt- och produktionsutveckling, Produktutveckling

Torgny Almgren

Chalmers, Matematiska vetenskaper

Göteborgs universitet

Karin Thörnblad

GKN Aerospace

Procedia Manufacturing

2351-9789 (eISSN)

Vol. 11 663-670


Produktionsteknik, arbetsvetenskap och ergonomi



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