An experience feedback process for learning from collaboration experiences

In the fast evolving context of industry 4.0, companies or organizations must continuously evolve and improve. To maintain their business efficiency, they join industrial networks in which they have to collaborate. In more recent context of industry 5.0, humans are placed at the heart of the industrial processes by developing human-centric and society-centric approach. In such a context, human collaboration experiences are numerous and constitute meaningful pieces of knowledge which can be reused within a human centric approach. This needs to (i) formalize and capitalize collaboration experiences, (ii) enable actors to assess collaboration and, (iii) develop reusing mechanisms. This article proposes an experience feedback approach where collaboration experiences are formalized and directly assessed by actors who have collaborated. Assessment grids are proposed to guide the human evaluations. From the individual evaluations, aggregation mechanisms are proposed to compute the collaboration performance of organizations. Finally, a reusing mechanism allows to learn from prior experiences, identifying the best organizations to make collaborating for a new industrial process. (c) 2022 Elsevier B.V. All rights reserved.