A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3.5 strategy

Based on the Industry 4.0 strategy, the digitization of the supply chain enables companies to fulfill customers' requirements more promptly. This implies that consumer procurement behaviors and demand patterns are significantly influenced by high Internet penetration, ubiquitous information availability, and rapidly growing social networks. This trend enables enterprises to start the digital transformation driven by customer requirements while integrating related enabling systems. In this research, a material resource management and allocation approach among the members of supply chain is developed, based on the information sharing. With dynamic and updated information sharing of customers' periodic forecast demand, the manufacturers could flexibly make decisions and allocate common parts strategically to enhance its customers' fulfillment rate by using the proposed hybrid Industry 3.5 strategy. A case study of a capital intensive semiconductor company is also illustrated for this model. The results show a scientific value of the collaborative mode of material resource management in smart supply chains that could satisfy the requisite 90 percent customer material fulfillment rate.