The aim of this article is to analyze and review the scientific literature relating to the application of Augmented Reality (AR) technology in industry. AR technology is becoming increasingly diffuse, due to the ease of application development and the widespread use of hardware devices (mainly smartphones and tablets) able to support its adoption. Today, a growing number of applications based on AR solutions are being developed for industrial purposes. Although these applications are often little more than experimental prototypes, AR technology is proving highly flexible and is showing great potential in numerous areas (e.g., maintenance, training/learning, assembly or product design) and in industrial sectors (e.g., the automotive, aircraft or manufacturing industries). It is expected that AR systems will become even more widespread in the near future.The purpose of this review is to classify the literature on AR published from 2006 to early 2017, to identify the main areas and sectors where AR is currently deployed, describe the technological solutions adopted, as well as the main benefits achievable with this kind of technology.ARTICLE HISTORY

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In the literature, many applications of Digital Twin methodologies in the manufacturing, construction and oil and gas sectors have been proposed, but there is still no reference model specifically developed for risk control and prevention. In this context, this work develops a Digital Twin reference model in order to define conceptual guidelines to support the implementation of Digital Twin for risk prediction and prevention. The reference model proposed in this paper is made up of four main layers (Process industry physical space, Communication system, Digital Twin and User space), while the implementation steps of the reference model have been divided into five phases (Development of the risk assessment plan, Development of the communication and control system, Development of Digital Twin tools, Tools integration in a Digital Twin perspective and models and Platform validation). During the design and implementation phases of a Digital Twin, different criticalities must be taken into consideration concerning the need for deterministic transactions, a large number of pervasive devices, and standardization issues. Practical implications of the proposed reference model regard the possibility to detect, identify and develop corrective actions that can affect the safety of operators, the reduction of maintenance and operating costs, and more general improvements of the company business by intervening both in strictly technological and organizational terms.

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Purpose Today plastic is the most used material for food packaging, but its incorrect disposal is creating environmental issues to oceans, soil and air. Someone believes that the solution is to ban plastic and substitute it with glass packaging. Is it the right choice? This study aims at comparing the environmental impact of bottles made of PET, R-PET, non-returnable glass and returnable glass in order to understand which is the most environmental friendly packaging solution. Methods A literature analysis on the environmental impact of glass and PET bottles is carried out, taking into account their production, transport and disposal phase. Then, an environmental assessment of PET, R-PET, glass and returnable glass bottles, used to package 1 l of pasteurized milk, has been carried out using the life cycle assessment methodology and a new indicator. Inventory data were provided by an important milk processing and packaging factory located in Italy. Results were estimated using some relevant impact categories of the ReCiPe 2016 MidPoint (H) method, then a marine litter indicator (MLI) has been proposed in order to evaluate the polluting potential of milk bottles dispersed into the Mediterranean Sea. Results and discussion LCA results show that R-PET bottle gives the lowest contribution to global warming, stratospheric ozone depletion, terrestrial acidification, fossil resource scarcity, water consumption and human carcinogenic toxicity, followed by PET bottle, returnable glass bottle, and finally non-returnable glass bottle. Glass is the worst packaging option because of high energy demand in the bottle production and its weight and in the transport phase. Some improvements can be obtained with returnable glass, but even if we consider that a bottle could be reused eight times, results are not comparable to the PET or R-PET bottles used only once. However, according to the MLI, returnable glass bottles become the first option, because a lot of plastic bottles could potentially be dispersed into the sea. Conclusions The substitution of plastic with glass does not help to reduce the GWP and others LCI categories, while could contribute to reduce the marine litter: overall it is important to dispose correctly packaging materials, investing in recycling and reusing. In particular, great improvements can be obtained using bottles made with recycled materials, as R-PET. In conclusion, it is necessary to disadvantage waste dispersion, giving incentives to returnable packaging and raising people awareness of environmental problems.