Purpose In this paper, the authors focus on training as a frequently used knowledge management tool. This paper aims to help training function to achieve excellence at the first attempt by evaluating and deciding on the most interesting method for each training action before engaging the investment. Design/methodology/approach The authors apply instructional theories to evaluate the relevance of training methods and explored the multiple criteria decision analysis methods, which is a mathematical approach, for the evaluation to be rational. An experimental research based on study cases is also presented to test the applicability and effectiveness of the model proposed. Findings A decisional model that allows to choose rationally the most appropriate training method for each case. It is based on Elicitation and Choice Translating Reality (ELECTRE I) method, which is a multi-criteria decision analysis method and uses criteria from First Principles developed by Merrill in 2002. Practical implications The proposed model may have several implications for the improvement of training performance, particularly in the context of quality management systems that require product compliance based on continuous improvement and risk-based approaches. It can, therefore, be used as a tool to control the quality of training process or control the risk relative to the execution of a training action or more generally as a tool to “check” that training methods chosen are the most appropriate to attempt the training objectives before “act” the training action. Originality/value The combination of a decision analysis system with the theory of instruction and the applicability to training process management.

In a large number of industrial sectors, manual assembly manufacturing operations highly engage tacit knowledge at an individual level. Companies in these sectors need to effectively manage organizational knowledge since it represents a real performance and sustainability lever. Although knowledge management (KM) specialists developed several models, these latter remain difficult to implement due to several barriers and limitations related to industrial reality and models ambiguity. This paper proposes an organizational knowledge management (OKM) framework for manual assembly manufacturing operations that is based on ISO 9001:2015 and SECI conversion cycle. This framework offers guidance for implementing a KM approach within the quality management system (QMS) allows to manage knowledge differently with regards to its tacitness level and overcomes many of the most common KM limitations. An experimental application based on a single case research design in an aeronautical assembly company is conducted to confirm the applicability and effectiveness of the framework suggested.