Abstract
This paper proposes that Industry 3.5 is a hybrid strategy that enables intelligent manufacturing with use of the big data analytics and digital decision-making processes of Industry 4.0 and the existing manufacturing system of Industry 3.0. The proposed strategic framework integrates leading technologies such as the Internet of Things, big data analytics, resource allocation, and optimization to develop an advanced intelligent manufacturing system framework. To determine the feasibility and validity of the proposed Industry 3.5 framework, this study reviewed a number of empirical studies concerning semiconductor manufacturing. The results indicated that the proposed Industry 3.5 is viable and can be used as an effective roadmap and reference to empower the migration of various industries to Industry 4.0 through adoption of advanced intelligent manufacturing, big data analytics, flexible decision-making, and optimization.