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This study aims to analyze simplified methods for modelling the flow through perforated elements (i.e. porous baffle interface and porous region), searching for a faster and easier way to simulate these components. The numerical simulations refer to a muffler geometry available in literature as a case study.

The installation of scrubber onboard ships to satisfy the International Maritime Organization emissions regulations is a reliable and efficient solution. However, scrubbers have considerable dimensions, interfering with other exhaust line components. Therefore, scrubber installation in the funnels requires integration with other elements, for example, silencers. Perforated pipes and plates represent the main elements of scrubber and silencers. The study of their layout is, therefore, necessary to reduce emissions and noise. Numerical simulations allow evaluating the efficiency of integrated components.

The study highlights that velocity and pressure predicted by the simplified models have a strong correlation with the resistance coefficients. Even though the simplified models do not accurately reproduce the flow through the holes, the use of such models allows a fast and easy comparison between concurrent muffler geometries, giving aid in the early design phases.

The lack of general guidelines and comparisons in the literature between different modelling strategies of perforated elements supports the novelty of the present work and its impact on design applications. Study the flow inside scrubbers and mufflers is fundamental to evaluate their performances. Therefore, having a simple numerical method is suited for industrial applications during the design process.

To set‐up the study of an unmanned system for refuelling of vehicles, with attention to VOCs recovery.

Presents the architecture of a robotic arm for refuelling. Special attention was allocated to the safety characteristics of the automatic refuelling station assuring the highest protection of people and their safeguard against accidents, preventing any dangerous response of the robotic arm in all the predictable conditions. A concurrent engineering methodology jointly with the life‐cycle approach was adopted for the study and evaluation of the equipment.

Finds that a six DoF arm with a tubular architecture with relocated actuation equipped with a specifically designed filler satisfying stage II rules is suitable to perform the task of safe refuelling of vehicles.

Provides hints to design refuelling stations, also for fluids of the future (e.g. hydrogen).

This robot is a low cost and efficient solution for replacing humans in petrol pump stations, while preserving environmental health. Refuelling will be comfortable and safe even in adverse climate conditions or for dangerous fuels (e.g. hydrogen).

Introduces a robotic arm made with tubes so that cables, pipes and VOCs run inside it and a filler granting easy mating with the cap and VOCs collection.

Evaluating investments in new product development has been a much debated question over the last few years. Traditional methods are recognized as inadequate but there is no dominant methodology. Presents a case study, developed at Olivetti, in which new and old methodologies have been used together to analyse and evaluate an investment project in new product development. The suggested approach supports decision making better than scoring methods, and data obtained are more reliable than those provided by traditional financial methods.

Industry 4.0 emerged as the Fourth Industrial Revolution aiming at achieving higher levels of operational efficiency, productivity and automation. In this context, manual assembly systems are still characterized by high flexibility and low productivity, if compared to fully automated systems. Therefore, the purpose of this paper is to propose the design, engineering and testing of a prototypal adaptive automation assembly system, including greater levels of automation to complement the skills and capabilities of human workers.

A lab experimental field-test is presented comparing the assembly process of a full-scale industrial chiller with traditional and adaptive assembly system.

The analysis shows relevant benefits coming from the adoption of the adaptive automation assembly system. In particular, the main findings highlight improvements in the assembly cycle time and productivity, as well as reduction of the operator’s body movements.

The prototype is applied in an Italian mid-size industrial company, confirming its impact in terms of upgrades of the assembly system flexibility and productivity. Thus, the research study proposed in this paper provides valuable knowledge to support companies and industrial practitioners in the shift from traditional to advanced assembly systems matching current industrial and market features.

This paper expands the lacking research on adaptive automation assembly systems design proposing an innovative prototype able to real-time reconfigure its structure according to the product to work, e.g. work cycle, and the operator features.

The kitting feeding policy creates kits with the parts of each product to assemble. Each kit contains elements with heterogeneous physical properties imposing heterogeneous logistic facilities and management solutions for storage and handling. The purpose of this paper is to present and apply a two-step procedure to design the part warehouse layout and to assign locations in case of kitting with high-variety part attributes. The proposed procedure aims at reducing the kitting travelled distance, shortening the picker paths, best positioning the components in the warehouse to enhance the possibility of creating kits through a single corridor access. The saturation of the warehouse and the minimization of the required storage space are also considered.

Starting from part categorization, the proposed two-step procedure, of general applicability, designs the component warehouse, sizing the corridors (Step 1) before clustering the kits in terms of part commonality and best-assigning clusters to corridors (Step 2) with the goal of reducing the travelled distance and saturating the available storage space.

A comparison model considers the traditional versus the proposed warehouse layout highlighting the potential saving in the picker travelled distance. A case study taken from the harvesting machine agricultural sector exemplifies the applicability and the practical implications of this research.

Elements of originality are the warehouse design strategy and the assignment model for parts based on their physical attributes and their occurrence in the assembly kits. Finally, the case study taken from industry, with a high number of components and part categories, adds value to the research making the proposed procedure able to address large-scale industrial problems.

This paper aims to investigate the role of aripiprazole once monthly as a maintenance treatment in a sample of patients with schizophrenia comorbid with alcohol and substance use disorder (AUD/SUD).

A sample of 24 Italian adult patients has been recruited and treated with aripiprazole once monthly after clinical stabilization with oral aripiprazole during May 2021 and June 2022. Clinical evaluations have been performed at the baseline (T0) and after 12 (T1) and 24 (T2) weeks.

During the study period, an improvement of both the clinical condition and general health from baseline was observed, as well as a reduction of craving for alcohol/substances. However, from T0, the number of patients who continued with this study decreased at T1 (n = 8) and then at T2 (n = 4). No serious adverse events were reported, including changes in weight, lipid/glucose metabolism, electrocardiogram and extra-pyramidal side effects.

Although limited by the high number of drop outs, this observational real-world study provided insights into the use of aripiprazole once monthly among a sample of patients with schizophrenia and comorbid SUD/AUD. Further studies of longer duration and on a larger sample are needed.

The purpose of this paper is to investigate the autoclave-pump pressured water distribution system. Pressured water is used in many manufacturing processes, as a raw material or as a service fluid for different applications.

The performances and the total installation costs of such systems are strongly related to its design and to its decision variables definition. The authors first identify the independent variables (i.e. the decision variables) and the dependent variables of the system and, second, propose a techno-economic mathematical method able to determine its minimum installation cost with an integrated approach.

The trade-off between the autoclave installation costs versus the pump installation costs is demonstrated. A sensitive analysis of the cost of the system as function of its decision variables has been performed to propose a practical graphical analysis tools to proper design the integrated pump-autoclave pressured water distribution system.

Many previous researches focus only on the pump system optimization or in the tank system optimization without an integrated approach. The wide utilization in industry of the autoclave-pump pressured water distribution system together with the lack of similar contributions in this area enforces the value of this research.

The paper aims at investigating antecedents and predictors of consumers' buying and consumption processes within the Italian Solidarity Purchasing Groups (SPGs) to enrich current debate about drivers and levers on which act for fostering ethical consumption in food sector.

Building upon the theory of planned behavior (TPB) a theoretical model is proposed for depicting possible antecedents and predictors of consumers' buying and consumption processes in food sector. The validity of the model has been tested via partial least squares structural equation modeling (PLS-SEM) using SmartPLS for analyzing primary data collected through a structured questionnaire from 354 consumers engaged in SPGs.

Within the domain of food buying and consumptions through SPGS, results show that consumers' behavior intention (BI) is influenced by consumers' attitude (ATT) and perceived behavioral control (PBC). Moreover, the research also demonstrates that consumers' ATT is influenced by consumers' ethical self-identity (ETH), consumers' willingness to support local economy (SLE), and food safety concern (FSC).

The study contributes to the ongoing debate on sustainable consumerism focusing the attention on SPGs as emerging social organizations inspired by ethical food consumption. Both theoretical development and empirical evidences enrich current knowledge about drivers and levers on which act for fostering ethical consumption in food sector.

Smart Manufacturing (SM) lies at the core of Industry 4.0. Operations management research has investigated the determinants of SM advancement but there is still limited understanding of the linkages between SM and organizational factors and about whether both the technological and organizational subsystems for SM are guided by firms’ competitive priorities. To close these gaps, building on operations strategy theory, this paper aims to empirically test a model positing that competitive priorities drive SM advancement. The relation between competitive priorities and SM advancement is assumed to be mediated by organizational microfoundations.

Using data from a single respondent survey with 234 firms in the automotive component industry, structural equation modeling is adopted to test the model hypotheses. Relevant constructs are measured with reference to the lead plant for SM.

Findings highlight that SM advancement is driven by the need to simultaneously compete in terms of cost, quality and delivery, thus suggesting that manufacturers view SM as a mean to develop multiple manufacturing capabilities. Organizational microfoundations fully mediate the relation between competitive priorities and SM advancement.

Results have implications for SM research, as they provide an understanding of the strategic priorities of firms engaging in SM. Findings also bear relevance for manufacturing executives engaged in the SM transformation, as they provide quantitative evidence that shaping an adequate organizational environment is a prerequisite for SM advancement.

Smart Manufacturing (SM) lies at the core of Industry 4.0. Operations management research has identified several factors influencing firms’ ability to adopt SM. However, a clear understanding of capabilities needed to progress in SM is still missing. This paper aims to investigate how absorptive capacity (AC) allows firms to advance in SM and explore how managerial antecedents support the capacity to absorb SM-related knowledge at different stages of SM adoption.

This study adopts an exploratory approach through multiple case studies. Twelve firms, operating as part of the automotive supply chain and exhibiting different stages of SM adoption, constitute the sample.

The results suggest that advancement in SM requires firms to progressively reinforce their AC. Firms’ ability to acquire and assimilate SM knowledge is supported by managerial antecedents encompassing integrative capacities to bridge old and SM technologies, managerial cognition through the clear alignment of SM technologies with strategic goals and knowledge development capabilities through practices oriented to provide senior managers with SM competences.

The findings contribute to SM research by suggesting that AC is a crucial dynamic capability for SM adoption. The results also provide evidence-grounded recommendations to firms engaged in the digital transformation on the managerial capabilities needed to support AC and to progress from lower to higher stages of SM.