Clustering the Research at the Intersection of Industry 4.0 Technologies, Environmental Sustainability and Circular Economy: Evidence from Literature and Future Research Directions

Digital technologies may enable the adoption of Circular Economy models in production and consumption processes, thereby promoting environmental sustainability. Literature on these topics has grown exponentially over the last decades, focusing on the adoption of Industry 4.0 technologies and its implications for environmental sustainability or circularity. However, extant literature reviews failed to cover the vast amount of literature produced, since they either have a narrow scope or focus on a limited sample of articles. To fill this gap, a bibliometric literature review was carried out on a sample of 1002 scientific articles on Circular Economy, Industry 4.0 technologies, and environmental sustainability. Descriptive statistics are coupled with a cluster-based analysis to provide a comprehensive coverage of the broader subject matter. Eight research clusters have been identified, with two general clusters (linkages between Industry 4.0, Circular Economy, environmental sustainability) and six topic-specific clusters (Big Data analytics for supply chain circularity, circular and sustainable additive manufacturing, urban sustainability, sustainable circular and digital (re)manufacturing, blockchain and data integration for a sustainable Circular Economy, miscellaneous and sectorial applications). Clusters are discussed in terms of research themes, methodologies, technologies, and circular strategies. Finally, a research agenda is drafted, pointing out six cluster-specific and four more transversal research directions. Hence, this research offers a detailed and quantitative overview of the research landscape, helping researchers and managers in understanding past contributions, assessing current standings, and identifying future directions of the research at the intersection of Industry 4.0 technologies, environmental sustainability, and Circular Economy

Antecedents of service innovation in manufacturing SMEs: an empirical research

Services have become an increasingly important competitive lever for manufacturing firms. Service innovation, therefore, emerges as a critical capability also for manufacturing companies. An empirical research was carried out in business-to-business markets, based on the “InnoScore© Service” methodology, developed at the Fraunhofer IAO. Through the analysis of collected data, the paper aims at understanding the role of an-tecedents of service innovation, such as the company strategy and the ex-istence of a service oriented culture. These factors should support the def-inition of processes, tools and organizational practices for service innovation and end up in improved business results. The evidence ob-tained through the data analysis, described and discussed in the paper, support these claims

Homothetic tube model predictive control with multi-step predictors

We present a robust model predictive control (MPC) framework for linear systems facing bounded parametric uncertainty and bounded disturbances. Our approach deviates from standard MPC formulations by integrating multi-step predictors, which provide reduced error bounds. These bounds, derived from multi-step predictors, are utilized in a homothetic tube formulation to mitigate conservatism. Lastly, a multi-rate formulation is adopted to handle the incompatibilities of multi-step predictors. We provide a theoretical analysis, guaranteeing robust recursive feasibility, constraint satisfaction, and (practical) stability of the desired setpoint. We use a simulation example to compare it to existing literature and demonstrate advantages in terms of conservatism and computational complexity

Spare parts classification and inventory management: a case study

The aim of this paper is to propose and discuss a hierarchical multi-criteria spare parts classification method developed for inventory management purposes and tested through an intensive case study in an Italian household appliances manufacturing company. In particular, the classification scheme under concern is built on the basis of several key dimensions in an almost hierarchical fashion, resulting in 12 different classes of spare parts, for which varying forecasting and inventory methods are proposed and tested. The results of our simulation study demonstrate the reduction of the total logistics costs by about 20% whilst the service target level is achieved for each of the classes. Even more importantly, the proposed approach is simple and straightforward enough to be understood by company managers, thus increasing the probability of its adoption (in the same or similar form) in other real world settings

Hydrogen blending effect on fiscal and metrological instrumentation: A review

A green hydrogen (H2) economy requires a sustainable, efficient, safe, and widespread infrastructure for transporting and distributing H2 from production to consumption sites. Transporting a hydrogen/natural gas (H2NG) mixture, including pure H2, through the existing European natural gas (NG) infrastructure is considered a cost-effective solution, particularly in the transitional phase. Several reasons justify the H2NG blending option. The NG infrastructure can be efficiently repurposed to transport H2, by blending H2 with NG, to operate as H2 daily storage, matching production and demand and to enable large-scale seasonal H2 storage. Although many benefits exist, the potential of existing NG grids for transporting and distributing green H2 may face limitations due to technical, economic, or normative concerns. This paper focuses on the state of the art of the European NG transmission and distribution metrology normative framework and identifies the gaps to be filled in case of H2NG flowing into the existing grids. The paper was revised to provide a comprehensive analysis of the practical implications resulting from the H2NG blend option

Circulating Cell-Free DNA in Dogs with Mammary Tumors: Short and Long Fragments and Integrity Index

Circulating cell-free DNA (cfDNA) has been considered an interesting diagnostic/prognostic plasma biomarker in tumor-bearing subjects. In cancer patients, cfDNA can hypothetically derive from tumor necrosis/apoptosis, lysed circulating cells, and some yet unrevealed mechanisms of active release. This study aimed to preliminarily analyze cfDNA in dogs with canine mammary tumors (CMTs). Forty-four neoplastic, 17 non-neoplastic disease-bearing, and 15 healthy dogs were recruited. Necrosis and apoptosis were also assessed as potential source of cfDNA on 78 CMTs diagnosed from the 44 dogs. The cfDNA fragments and integrity index significantly differentiated neoplastic versus non-neoplastic dogs (P<0.05), and allowed the distinction between benign and malignant lesions (P<0.05). Even if without statistical significance, the amount of cfDNA was also affected by tumor necrosis and correlated with tumor size and apoptotic markers expression. A significant (P<0.01) increase of Bcl-2 in malignant tumors was observed, and in metastatic CMTs the evasion of apoptosis was also suggested. This study, therefore, provides evidence that cfDNA could be a diagnostic marker in dogs carrying mammary nodules suggesting that its potential application in early diagnostic procedures should be further investigated