Selection of Industry 4.0 Technology to Support Lean Manufacturing from the Perspective of Enterprise Interoperability

Abstract

Faced with paradigm shifts in the global manufacturing context promoted by the Fourth Industrial Revolution, many organizations are seeking to meet customer needs through the integration of Lean Manufacturing (LM) philosophy principles with Industry 4.0 (I4.0) technologies. When there is the integration of technological enablers from I4.0 and deep advances in efficiency and productivity with LM, these systems tend to offer enhanced and more assertive results, since they are complementary concepts. The main goal of this paper is the selection of I4.0 technologies to support the LM system, considering the perspectives and barriers of Enterprise Interoperability (EI) and using multicriteria methods (MCDM) to support decision-making. Using the DEMATEL multicriteria method, it was possible to develop a diagnostic evaluation, analyze the existing influences between the elements of the LM, and support the elicitation of weights in the decisional evaluation, with the FITradeoff method. In this way, the decisional evaluation indicated as the I4.0 technology that must be implemented as a priority to raise the level of organizational maturity in LM is Big Data Analytics. Big Data integrated with Business Analytics (BA) can offer several advantages, such as assertiveness in decision-making; Keeping the company updated about the market; Indicating risks and improving data security; Promotes alignment between marketing and sales, among others.