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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 delay would help achieve the goals and prevent the waste of time, human and material resources. However, as shown in recent literature, 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. This methodology uses the CIMOSA cube as a reference architecture that provides multiple views to analyze the different aspects of a decision-making process. A case study in drug development projects is presented to illustrate the interest of this approach.