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This paper focuses on understanding the contribution of Industry 4.0 technologies to manufacturing flexibility.

A multiple-case study was conducted through interviews and complementary data from 12 adopters of Industry 4.0 technologies from the industrial sector. To enable a broad perspective, cases from 5 industry sectors with different technological intensity levels were studied.

The findings show that Industry 4.0 technologies are mostly used to improve machine flexibility since there is a major focus on technological approaches rather than on wider flexibility. The results also showed that cloud services, IoT, and data analytics provide the basis for flexible operation, and collaborative robots, ERP/MES/PLM, AGVs, and traceability devices are the most commonly implemented technologies for flexibility. However, inherent contingency factors such as production complexity and product life cycle need to be considered.

This article expands the research on manufacturing flexibility, considering new capabilities introduced by Industry 4.0.

This paper seeks to shed light on the resources and capabilities required by SMEs to successfully implement Industry 4.0 (I4.0) and to explore how these resources and capabilities can be acquired and/or developed.

The authors employed an exploratory multiple case study approach to analyze five Portuguese SMEs that have implemented I4.0 technologies. Data were primarily collected through direct semi-structured interviews with managers from different departments and areas. Moreover, a technology, organization and environment (TOE) framework approach was adopted to analyze the resources and capabilities needed for I4.0 implementation in SMEs.

Research findings suggest that the analyzed Portuguese SMEs did not require all the considered I4.0 resources and capabilities. Therefore, results may support practitioners to recognize and prioritize the resources and capabilities needed to successfully embrace all the benefits of I4.0. In this regard, SMEs can develop these resources and capabilities needed both internally (e.g. through the process and product innovation focused on digital technologies, human resource management practices and top management commitment) and externally (e.g. hiring skilled employees and through innovative collaboration networks).

Using the TOE framework, this study shows how SMEs could acquire and develop their resources and capabilities to accelerate I4.0 implementation and maximize its benefits.

The purpose of this study was to develop and implement a new model to improve maintenance management and the production system through the concepts: maintenance, lean philosophy and Industry 4.0.

The methodology employed in this study includes conducting a bibliographic survey of existing models exploring the joint application of the concepts under study, critically analyzing these models, developing a model proposal and subsequently analyzing the results obtained. The model is implemented on a belt conveyor of a feed mill to improve its performance.

The proposed model contributes to improve maintenance and production system management, proving to be a useful tool to improve real-time decision-making. After its application, it was possible to verify that it increased the performance of the conveyor belt, as well as improved the skills of the operators who operate on it.

Limitation about the distance between the devices that make up the model. The implementation of autonomous maintenance can highlight some challenges within the company. The implementation was only in the belt conveyor, being useful to introduce this in the remaining areas of the factory.

The study presents an innovative, versatile, low-cost and easy-to-apply model to improve maintenance management by combining the three concepts. The model can be easily adapted to monitor condition parameters such as temperature, noise, among others, through the correct choice of devices and proper programming. This work also contributed to help in real-time decision-making for both the maintenance and production departments.

Industry 4.0 accelerates the performance of supply chains, in particular, the reduction in supply chain cost (SCC) and improvement in supply chain flexibility (SCF). The aim of this study is to examine the role of Industry 4.0 on SCC and SCF, using network theory to explain the interrelationships.

Data were collected from 182 manufacturing firms in Turkey. The partial least square structural equation modelling (PLS-SEM) was employed in testing the research hypotheses.

The results showed that Industry 4.0 positively affects SCC; however, no direct relationship was found between Industry 4.0 and SCF. Moreover, SCC was found to have a positive impact on SCF, while SCC was found to mediate the relationship between Industry 4.0 and SCF. An additional finding was that customer integration (CI) moderates the relationship between Industry 4.0 and SCC; however, CI does not moderate the relationship between Industry 4.0 and SCF.

The research validates the role of Industry 4.0 on supply chain processes and thus provides valuable insights into supply chain practitioners and decision-makers interested in Industry 4.0 for supply chain management.

In view of the limited number of studies, this study empirically contributes to the literature on the relationships among Industry 4.0, SCC, SCF and CI.