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Engineering and Systems   > Home   > Industrial and Systems Engineering   > Issue

Vol 2 - Numéro Spécial Lean et industrie du futur

Industrial and Systems Engineering


List of Articles

Editorial

Lean et industrie du futur : regards croisés sur la productivité des PME manufacturières.


Improvement of the Operational Performance of French aeronautic SMEs, supported in a global national project

A global national project concerning French Aeronautic Business started in France in 2014, after one year of preparation and alignment between all stakeholders. The target was to support the Operational Performance improvement of French Aeronautic SMEs (Small and Medium (...)


Considering human efficiency to overcome the limits of Lean

Lean is an approach that aims to eliminate waste in production activities. Recognized by companies, this approach yields significant gains in the short term. However, at medium and long term, these results have limitations. Our research work is focused on overcoming these (...)


Correlation between information and communication technologies and open innovation adoption in SMEs.

Information and communication technologies (ICT) are radically transforming the company’s organization and their way of work. Open innovation practices such as crowdsourcing are largely based on digital media. However, to our knowledge, little work focused on how digital (...)


Study of the potential of Industry 4.0 for the transformation of the Quebec manufacturing SME: A literary and experimental analysis

The need for companies to differentiate themselves in the global market is becoming increasingly important with the growing lack of manpower and the growth of competition accentuated by the arrival of digital technologies in the industrial, logistic and commercial (...)


A machine learning methodology for decision support in a Computer Aided Manufacturing context

The evolution of data mining techniques, as well as the increase in storage and computing capacity, in all areas, is generating interest of the data produced. In this way, manufacturing is no exception. Given the amount of data created when writing the various programs to be (...)