A maturity model enhancing data-driven circular manufacturing
开发了一个五级四维的成熟度模型，通过问卷评估制造商在循环制造中利用数据支持决策的现状，并在四家企业中验证了其有效性。
Circular Manufacturing (CM) adoption is highly reinforced by data exploitation, gathered, used and shared thanks to specific technologies. Manufacturers still need to be supported in using data to make more informed decisions in CM; to do that, they first need to be conscious of their current state. To achieve this goal, this study aims to develop a maturity model (MM) to evaluate manufacturers exploiting and valuing data in CM to support their decision-making processes. The MM, based on five levels and four analysis dimensions, operates the assessment through a questionnaire composed of normative answers. The model was conceived by relying on the scientific literature. It was verified and improved through focus groups and interviews and validated through a pilot application in two different manufacturing companies. Finally, the MM was applied in two other manufacturing companies to assess the empirical evidence of the obtainable benefits.