The industry has entered on the Fourth Industrial Revolution, the so-called Industry 4.0, with global markets and strong competition, some traditional manufacturing firms are implementing new maintenance innovations and policies, based on digitalisation and data driven approach, but also based on servitisation. The implementation of these new equipment maintenance business models, could require new organisational approach at different levels. Different sorts of integration are arranged, in vertical with a flat structure of intelligent, flexible and autonomous units working integrated, in horizontal with a strong external and internal supply chain integration, and in transverse, with an integrated approach that link internal and external stakeholders. A new prescriptive maintenance business model for equipment exploiting digitalisation opportunities, including stakeholder relationship is proposed. Different perspectives such as organisational, innovation and sustainability have been adopted to discuss the implications of the proposal. The social value potentially gained as well as the alignment with the SDGs are discussed as well.
1 December 1994 in Journal of Engineering Mechanics
Fibers with inclination angles of 0°, 14°, 27°, and 37°, respectively, were pulled out from a cementitious matrix. For each inclination angle, two types of specimens with 16 and eight steel fibers, respectively, were tested. Effects of fiber inclination and number of fibers on peak pullout load and corresponding slip were experimentally examined. Based on failure mechanisms experimentally observed, a fracture mechanics model was developed to predict pullout resistance of aligned and inclined fibers. A rising R‐curve is proposed to account for different embedded lengths of fibers. The predicted peak loads match quite well with the experimental results from different studies. The proposed theoretical model can predict reasonably accurately both the peak load as well as the corresponding slip displacement. Predictions are compared with the data for both metallic and synthetic fibers.