A methodology to identify efficient collaborative practices of decision-making in industrial projects, based on enterprise process modeling

Abstract

Industrial projects are often difficult to accomplish, reaching all their goals on quality, time, cost, and respecting human well-being. Making decisions effectively and without delays would help achieve the goals and prevent waste of human and material resources. However, as recent literature shows very few organizations have undertaken systematic efforts to enhance decision-making processes. This paper investigates a methodology to identify and structure efficient practices that would improve collaborative decision-making in industrial projects. The proposed methodology uses CIMOSA cube as a reference architecture that provides multiple views to analyze the different aspects of decision-making process. A case study in drug development projects is presented to illustrate the interest of the proposed approach.