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Ensure sustainable consumption and production patterns requires urgent actions to combat climate change and its impacts as established by Sustainable Development Goals (SDGs). In this context, this study demonstrates the feasibility to produce structural concrete using recycled aggregates from construction and demolition waste in Italy. More specifically, the present research aims to analyze the environmental impacts caused by five mixtures of concrete, with similar mechanical properties and workability, but with a different amount of recycled coarse aggregate and natural coarse aggregate (0% - 30% - 50% - 70% - 100%). Fixed plant and a mobile plant treatments are investigated as two different modes of production of recycled aggregates. Life Cycle Assessment (LCA) methodology is applied to achieve this goal. The main results demonstrate that mixtures formed by recycled coarse aggregates have a better environmental impacts than the only one formed exclusively by natural coarse aggregates and results improve when the amount of recycled coarse aggregate is higher.
Francesco Colangelo; Antonella Petrillo; Ilenia Farina. Comparative environmental evaluation of recycled aggregates from construction and demolition wastes in Italy. Science of The Total Environment 2021, 798, 149250 .
AMA StyleFrancesco Colangelo, Antonella Petrillo, Ilenia Farina. Comparative environmental evaluation of recycled aggregates from construction and demolition wastes in Italy. Science of The Total Environment. 2021; 798 ():149250.
Chicago/Turabian StyleFrancesco Colangelo; Antonella Petrillo; Ilenia Farina. 2021. "Comparative environmental evaluation of recycled aggregates from construction and demolition wastes in Italy." Science of The Total Environment 798, no. : 149250.
The impact of the pandemic and the lockdown has been more devastating than expected on the world economy. It is essential to formulate strategies in real-time. In this research, a multicriteria decision-making model for increasing the preparedness level of sales departments when facing COVID-19 waves and future pandemics is proposed. The model is comprised of 8 criteria, 29 sub-criteria, and 7 alternatives. The study is based on the integration of the AHP and TOPSIS techniques. AHP is used for calculating the criteria and sub-criteria weights. While, TOPSIS is used for calculating the preparedness level, ranking the companies, and identifying the weaknesses that should be addressed for increasing their effectiveness in the current market scenario. The model is developed with the aid of an experts’ group from the electrical appliance sector and studies from the reported literature. This application is completely novel in the literature and has been applied in the wild with remarkable companies in Colombia. A case study in the electrical appliance sector is presented as a pilot study but it should be noted that the methodology is flexible and scalable in any scenario.
Miguel Ortiz-Barrios; Arlen Alaine Borrego-Areyanes; Iván Darío Gómez-Villar; Fabio De Felice; Antonella Petrillo; Muhammet Gul; Melih Yucesan. A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case. International Journal of Disaster Risk Reduction 2021, 62, 102411 .
AMA StyleMiguel Ortiz-Barrios, Arlen Alaine Borrego-Areyanes, Iván Darío Gómez-Villar, Fabio De Felice, Antonella Petrillo, Muhammet Gul, Melih Yucesan. A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case. International Journal of Disaster Risk Reduction. 2021; 62 ():102411.
Chicago/Turabian StyleMiguel Ortiz-Barrios; Arlen Alaine Borrego-Areyanes; Iván Darío Gómez-Villar; Fabio De Felice; Antonella Petrillo; Muhammet Gul; Melih Yucesan. 2021. "A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case." International Journal of Disaster Risk Reduction 62, no. : 102411.
The aim of this research is to evaluate the possibility of using an eco-sustainable geopolymer binder, through the development of innovative technologies capable of offering tools for the water systems management, for the enhancement and protection of environmental resources. Specifically, a hydraulic pipeline made of geopolymer mortar has been designed as prototype. A detailed comparative environmental assessment analysis of unreinforced and reinforced geopolymer prototypes has been conducted using the Life Cycle Assessment (LCA). The LCA study has been performed to determine the environmental performance of the different mix designs and to identify the most important factors contributing to their environmental burdens. The results of the analysis indicate that the advantages of geopolymers make them a valid alternative to traditional binders in many industrial environments and in this case in the realization of useful artifacts for hydraulic engineering.
Francesco Colangelo; Ilenia Farina; Marta Travaglioni; Cinzia Salzano; Raffaele Cioffi; Antonella Petrillo. Eco-efficient industrial waste recycling for the manufacturing of fibre reinforced innovative geopolymer mortars: Integrated waste management and green product development through LCA. Journal of Cleaner Production 2021, 312, 127777 .
AMA StyleFrancesco Colangelo, Ilenia Farina, Marta Travaglioni, Cinzia Salzano, Raffaele Cioffi, Antonella Petrillo. Eco-efficient industrial waste recycling for the manufacturing of fibre reinforced innovative geopolymer mortars: Integrated waste management and green product development through LCA. Journal of Cleaner Production. 2021; 312 ():127777.
Chicago/Turabian StyleFrancesco Colangelo; Ilenia Farina; Marta Travaglioni; Cinzia Salzano; Raffaele Cioffi; Antonella Petrillo. 2021. "Eco-efficient industrial waste recycling for the manufacturing of fibre reinforced innovative geopolymer mortars: Integrated waste management and green product development through LCA." Journal of Cleaner Production 312, no. : 127777.
Hospital readmission is considered a key research area for improving care coordination and achieving potential savings. This is important because hospital readmissions can have negative consequences in terms of good health and recovery for patients. It is thus important to significantly reduce such readmissions. Unfortunately, there isn't a one-size-fits-all solution to preventing hospital readmissions. There are many variables outside of hospitals' direct control, such as social determinants and patient lifestyle factors, impacting readmissions. Although several studies have been undertaken to investigate 30-day readmissions, predicting revisits in shorter intervals (e.g., within 15 days after discharge) is highly needed to capture hospital-attributable returns better and develop more effective improvement plans. Hence, the aim of this paper is three-fold: i) to develop a comprehensive experimental study for identifying factors affecting 15-day readmission risk, ii) to classify patients according to the risk of 15-day readmission using logistic regression, and iii) provide general recommendations to reduce the 15-day readmission risk considering different predictors. To this end, the patients' characteristics were first described. Then, the significance of potential predictors, their interactions, and their effects were assessed. After this, a logistic regression model was derived to predict the likelihood of 15-day readmission in each patient. Finally, general recommendations were provided to reduce 15-day revisits. A real case study in Colombia was considered to validate the proposed methodology.
Miguel Ortiz-Barrios; Zenaida Altamar-Maldonado; Cielo Martínez-Solano; Antonella Petrillo; Fabio De Felice; Genett Jiménez-Delgado; Aracely García-Cuan; Ana M. Medina-Buelvas. Predicting 15-day unplanned readmissions in hospitalization departments: an application of logistic regression. Ingeniare. Revista chilena de ingeniería 2021, 29, 378 -398.
AMA StyleMiguel Ortiz-Barrios, Zenaida Altamar-Maldonado, Cielo Martínez-Solano, Antonella Petrillo, Fabio De Felice, Genett Jiménez-Delgado, Aracely García-Cuan, Ana M. Medina-Buelvas. Predicting 15-day unplanned readmissions in hospitalization departments: an application of logistic regression. Ingeniare. Revista chilena de ingeniería. 2021; 29 (2):378-398.
Chicago/Turabian StyleMiguel Ortiz-Barrios; Zenaida Altamar-Maldonado; Cielo Martínez-Solano; Antonella Petrillo; Fabio De Felice; Genett Jiménez-Delgado; Aracely García-Cuan; Ana M. Medina-Buelvas. 2021. "Predicting 15-day unplanned readmissions in hospitalization departments: an application of logistic regression." Ingeniare. Revista chilena de ingeniería 29, no. 2: 378-398.
Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.
Miguel Ortíz-Barrios; Antonella Petrillo; Fabio De Felice; Natalia Jaramillo-Rueda; Genett Jiménez-Delgado; Luz Borrero-López. A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context. Applied Sciences 2021, 11, 5107 .
AMA StyleMiguel Ortíz-Barrios, Antonella Petrillo, Fabio De Felice, Natalia Jaramillo-Rueda, Genett Jiménez-Delgado, Luz Borrero-López. A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context. Applied Sciences. 2021; 11 (11):5107.
Chicago/Turabian StyleMiguel Ortíz-Barrios; Antonella Petrillo; Fabio De Felice; Natalia Jaramillo-Rueda; Genett Jiménez-Delgado; Luz Borrero-López. 2021. "A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context." Applied Sciences 11, no. 11: 5107.
All the countries of the world are experiencing a process of business transformation and innovation through the use of digital technologies. COVID-19 has accelerated the digital transformation, but to fully grasp the possibility offered by this crisis, concrete actions are needed to achieve the digital transformation. The effect of new technologies, in the digital first perspective, will lead not only to a more efficient system but above all to relaunch the economy, in particular of some strategic production sectors. The intent of this chapter is to outline global trends and future developments of digitalization in the perspective of Industry 4.0. Thus, a survey and a literature analysis based on structural and conceptual frameworks are developed. The result is the definition of understanding current state of knowledge and to propose future research opportunities in the field of manufacturing digitalization.
Antonella Petrillo; Fabio De Felice. Industry 4.0 Perspectives: Global Trends and Future Developments. Handbook of Smart Materials, Technologies, and Devices 2021, 1 -23.
AMA StyleAntonella Petrillo, Fabio De Felice. Industry 4.0 Perspectives: Global Trends and Future Developments. Handbook of Smart Materials, Technologies, and Devices. 2021; ():1-23.
Chicago/Turabian StyleAntonella Petrillo; Fabio De Felice. 2021. "Industry 4.0 Perspectives: Global Trends and Future Developments." Handbook of Smart Materials, Technologies, and Devices , no. : 1-23.
Digital Effect: Visions of business and Industry 5.0 is a new book on digitization and innovation and the importance of applying decision making models.
Antonella Petrillo. DIGITAL EFFECT. International Journal of the Analytic Hierarchy Process 2021, 13, 1 .
AMA StyleAntonella Petrillo. DIGITAL EFFECT. International Journal of the Analytic Hierarchy Process. 2021; 13 (1):1.
Chicago/Turabian StyleAntonella Petrillo. 2021. "DIGITAL EFFECT." International Journal of the Analytic Hierarchy Process 13, no. 1: 1.
In the last 20 years, there have been a series of seismic events in Italy that have caused serious damage to civil and building structures. This has led to a significant increase in the use of concrete for the reconstruction of new structures and the repair of existing structures damaged by earthquakes. At the same time, the concrete industry is responsible for the most significant environmental damage during the life cycle of the built environment. The environmental disadvantages characterizing the concrete industry are related to the constant growth of the exploitation of natural aggregates. Therefore, it is necessary to use alternative and innovative aggregates that provide good concrete performance and lower environmental impacts. In this study, a very promising route from an environmental point of view is given by the use of artificial aggregates from industrial waste as substitutes for natural aggregates. An innovative low cost and energy saving granulation process has been employed to produce lightweight aggregates using fly ash from the incineration of municipal solid waste and ground granulated blast furnace slag. The final aim of this research is to demonstrate the environmental sustainability of artificial aggregates, through a comparison of three different mixtures.
Francesco Colangelo; Ilenia Farina; Marta Travaglioni; Cinzia Salzano; Raffaele Cioffi; Antonella Petrillo. Innovative Materials in Italy for Eco-Friendly and Sustainable Buildings. Materials 2021, 14, 2048 .
AMA StyleFrancesco Colangelo, Ilenia Farina, Marta Travaglioni, Cinzia Salzano, Raffaele Cioffi, Antonella Petrillo. Innovative Materials in Italy for Eco-Friendly and Sustainable Buildings. Materials. 2021; 14 (8):2048.
Chicago/Turabian StyleFrancesco Colangelo; Ilenia Farina; Marta Travaglioni; Cinzia Salzano; Raffaele Cioffi; Antonella Petrillo. 2021. "Innovative Materials in Italy for Eco-Friendly and Sustainable Buildings." Materials 14, no. 8: 2048.
The criteria of economic, social, and environmental sustainability defined by the United Nations and consolidated in Agenda 2030 must become a ‘lighthouse’ to promote the use of digital technologies as an essential tool for sustainable development. Thus, the role of decision makers must therefore be oriented to promote technological development towards a sustainable world. However, any technological innovation, even the best, can give negative effects if not applied with a perspective on sustainability. This is increasingly evident with the growth of globalization. Thus, the aim of the present research is to identify challenges to achieve Circular Economy and Bioeconomy in a digital era and to define a blueprint for a ‘digicircular’ transformation. An integrated and interdisciplinary framework is proposed to prioritize digital capabilities which are hindering the digicircular economy implementation. An interdisciplinary and multicriteria tool to enable a digicircular model is developed. Bloomberg's environmental and Corporate Knights Global Sustainability Score which use private and public information from companies served for define the research model.
Fabio De Felice; Antonella Petrillo. An interdisciplinary framework to define strategies for digitalization and sustainability: Proposal of a ‘digicircular’ model. IET Collaborative Intelligent Manufacturing 2021, 3, 75 -84.
AMA StyleFabio De Felice, Antonella Petrillo. An interdisciplinary framework to define strategies for digitalization and sustainability: Proposal of a ‘digicircular’ model. IET Collaborative Intelligent Manufacturing. 2021; 3 (1):75-84.
Chicago/Turabian StyleFabio De Felice; Antonella Petrillo. 2021. "An interdisciplinary framework to define strategies for digitalization and sustainability: Proposal of a ‘digicircular’ model." IET Collaborative Intelligent Manufacturing 3, no. 1: 75-84.
Building construction serves a vital purpose from a social and economic perspective by meeting the housing needs of society and contributing to the economic growth of a country. However, from an environmental perspective, this sector contributes negatively by releasing tons of greenhouse gas emissions (GHG) in the atmosphere, which consequently gives rise to other environmental hazards such as global warming and ozone depletion. The use of off-site modular construction practices in developed countries is increasing due to its environmental benefits over conventional cast-in-situ method. However, the environmental performance of a construction method may vary across various geographical regions, which is why environmental assessment of construction methods specific to a region is required. This study provides a calculation of GHG emissions in modular and conventional construction methods utilized in Pakistan, considering two single-family single-storey buildings with similar characteristics. The study also provides recommendations to homebuilders for the improvements in low-performance areas in both modular and conventional building methods. The results of the study show that modular building accounts for a total of 3449.73 kgCO2-equivalent GHG emissions whereas conventional building resulted in a total of 6501.91 kgCO2-equivalent GHG emissions. Modular building results in a reduction of 3052.19 kgCO2-equivalent GHG emissions (46.9%) as compared to a conventional site-built building. This implies that the modular construction method is a more environmentally viable option than conventional construction, which needs to be adopted on a large scale to reduce GHG emissions.
Hamza Pervez; Yousaf Ali; Antonella Petrillo. A quantitative assessment of greenhouse gas (GHG) emissions from conventional and modular construction: A case of developing country. Journal of Cleaner Production 2021, 294, 126210 .
AMA StyleHamza Pervez, Yousaf Ali, Antonella Petrillo. A quantitative assessment of greenhouse gas (GHG) emissions from conventional and modular construction: A case of developing country. Journal of Cleaner Production. 2021; 294 ():126210.
Chicago/Turabian StyleHamza Pervez; Yousaf Ali; Antonella Petrillo. 2021. "A quantitative assessment of greenhouse gas (GHG) emissions from conventional and modular construction: A case of developing country." Journal of Cleaner Production 294, no. : 126210.
One of the challenging issues of any country's agenda today is the management of solid waste in the circular economy and eco-efficiency perspective. In this context, there has been much debate about the disposal of diapers, but the current research lacks data for developing countries. Furthermore, the research lacks quantification of data, in terms of output products generated through sustainable waste management practices particularly for diapers. Thus, this research aims to develop a quantitative study based on Life Cycle Assessment (LCA) and Life Cycle Costing Analysis (LCCA) which help to evaluate the overall eco-efficiency of various disposal methods by taking into account their net input and resultant monetary value, in the context of Pakistan. To cover limitations of LCA approach, results have been compared along with the expert's opinion using the well-known multi-criteria method Fuzzy logic and Technique for Order of preference by similarity to ideal solution (TOPSIS) technique. Human health and environment have been used as end-point indicators. The main research result points out that incorporating small scale incineration plants along with recycling using Thermal Pyrolysis Hydrolysis (TPH) plants can help to sustainably dispose-off diapers. The results also indicate the importance for policy makers and industrial sector to find solutions to facilitate implementation of circular economy principles for diapers. In fact, the recycling of diapers using waste-to-energy technologies is a significantly eco-efficient alternative for the Pakistani market, which can be pivotal for Sustainable development and initiation of a circular economy model.
Hassaan Tariq; Yousaf Ali; Amin Ullah Khan; Antonella Petrillo; Fabio De Felice. Sustainable production of diapers and their potential outputs for the Pakistani market in the circular economy perspective. Science of The Total Environment 2021, 769, 145084 .
AMA StyleHassaan Tariq, Yousaf Ali, Amin Ullah Khan, Antonella Petrillo, Fabio De Felice. Sustainable production of diapers and their potential outputs for the Pakistani market in the circular economy perspective. Science of The Total Environment. 2021; 769 ():145084.
Chicago/Turabian StyleHassaan Tariq; Yousaf Ali; Amin Ullah Khan; Antonella Petrillo; Fabio De Felice. 2021. "Sustainable production of diapers and their potential outputs for the Pakistani market in the circular economy perspective." Science of The Total Environment 769, no. : 145084.
To survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP.
Antonio Lombardi Netto; Valerio A.P. Salomon; Miguel A. Ortiz‐Barrios; Anna K. Florek‐Paszkowska; Antonella Petrillo; Otavio J. De Oliveira. Multiple criteria assessment of sustainability programs in the textile industry. International Transactions in Operational Research 2020, 28, 1550 -1572.
AMA StyleAntonio Lombardi Netto, Valerio A.P. Salomon, Miguel A. Ortiz‐Barrios, Anna K. Florek‐Paszkowska, Antonella Petrillo, Otavio J. De Oliveira. Multiple criteria assessment of sustainability programs in the textile industry. International Transactions in Operational Research. 2020; 28 (3):1550-1572.
Chicago/Turabian StyleAntonio Lombardi Netto; Valerio A.P. Salomon; Miguel A. Ortiz‐Barrios; Anna K. Florek‐Paszkowska; Antonella Petrillo; Otavio J. De Oliveira. 2020. "Multiple criteria assessment of sustainability programs in the textile industry." International Transactions in Operational Research 28, no. 3: 1550-1572.
Construction and demolition waste (C&DW) is the largest waste stream in the European Union (EU) and all over the world. Proper management of C&DW and recycled materials—including the correct handling of hazardous waste—can have major benefits in terms of sustainability and the quality of life. The Waste Framework Directive 2008/98/EC aims to have 70% of C&DW recycled by 2020. However, except for a few EU countries, only about 50% of C&DW is currently being recycled. In the present research, the environmental impact of concrete with recycled aggregates and with geopolymer mixtures is analysed. The aim of the present research is to propose a comparative LCA of concrete with recycled aggregates in the context of European politics. Life cycle assessment (LCA) methodology is applied using Simapro© software. A cradle to grave analysis is carried out. The results are analysed based on the database Ecoinvent 3.3 and Impact 2002+. Results show that the concrete with 25% recycled aggregates is the best solution from an environmental point of view. Furthermore, geopolymer mixtures could be a valid alternative to reduce the phenomenon of “global warming”; however, the production of sodium silicate and sodium hydroxide has a great environmental impact. A possible future implementation of the present study is certainly to carry out an overall assessment and to determine the most cost-effective option among the different competing alternatives through the life cycle cost analysis.
Francesco Colangelo; Tomás Gómez Navarro; Ilenia Farina; Antonella Petrillo. Comparative LCA of concrete with recycled aggregates: a circular economy mindset in Europe. The International Journal of Life Cycle Assessment 2020, 25, 1790 -1804.
AMA StyleFrancesco Colangelo, Tomás Gómez Navarro, Ilenia Farina, Antonella Petrillo. Comparative LCA of concrete with recycled aggregates: a circular economy mindset in Europe. The International Journal of Life Cycle Assessment. 2020; 25 (9):1790-1804.
Chicago/Turabian StyleFrancesco Colangelo; Tomás Gómez Navarro; Ilenia Farina; Antonella Petrillo. 2020. "Comparative LCA of concrete with recycled aggregates: a circular economy mindset in Europe." The International Journal of Life Cycle Assessment 25, no. 9: 1790-1804.
Electronic waste (E-Waste) is a progressively increasing problem for all developing nations. Developing nations like Pakistan, India and China are well renowned for the business of e-waste recycling. With the current rudimentary techniques of recycling used in Pakistan, e-waste presents different risks to the environment and the society with nominal financial gain. The study looks to answer how the e-waste makes its way to Pakistan, what are the risks of the industry and how they affect the population of Pakistan. For this purpose, a method called Modified-Safety Improve Risk Assessment (Modified-SIRA) was used. Modified-SIRA has identified six risks which are a severe hazard to a developing nation such as Pakistan. Each individual risk has been quantified by assigning it with an individually calculated Total Risk Priority Number (TRPN). Furthermore, the risks have been prioritized by the use of Fuzzy-VIseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) to assess their impact on the sustainability of the e-waste recycling industry. This study provides evidence that among various risks air pollution from the e-waste recycling process is a severe hazard to the population of a developing country like Pakistan. It further helps to highlight the fact that the population of a developing country tend to ignore e-waste emanating from their expanded use of electronics. Additionally, the present use of rudimentary and non-standardized techniques of material extraction does not possess the capability of sustainably financing the industry. The study further concludes as to which practices and methods can be applied to reduce the impacts and improve the overall sustainability of the industry.
Hameem Bin Hameed; Yousaf Ali; Antonella Petrillo. Environmental risk assessment of E-waste in developing countries by using the modified-SIRA method. Science of The Total Environment 2020, 733, 138525 .
AMA StyleHameem Bin Hameed, Yousaf Ali, Antonella Petrillo. Environmental risk assessment of E-waste in developing countries by using the modified-SIRA method. Science of The Total Environment. 2020; 733 ():138525.
Chicago/Turabian StyleHameem Bin Hameed; Yousaf Ali; Antonella Petrillo. 2020. "Environmental risk assessment of E-waste in developing countries by using the modified-SIRA method." Science of The Total Environment 733, no. : 138525.
Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.
Raffaele Cioffi; Marta Travaglioni; Giuseppina Piscitelli; Antonella Petrillo; Adele Parmentola. Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review. Applied Sciences 2020, 10, 2897 .
AMA StyleRaffaele Cioffi, Marta Travaglioni, Giuseppina Piscitelli, Antonella Petrillo, Adele Parmentola. Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review. Applied Sciences. 2020; 10 (8):2897.
Chicago/Turabian StyleRaffaele Cioffi; Marta Travaglioni; Giuseppina Piscitelli; Antonella Petrillo; Adele Parmentola. 2020. "Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review." Applied Sciences 10, no. 8: 2897.
The purpose of this document is to analyze and review the scientific literature relating to the circular economy model with an Industry 4.0 perspective (CE-I4.0) and its technologies implemented in the industry. Advanced and digital production technologies can unlock the circularity of resources within organizations. A review of the academic literature on the connection between CE and Industry 4.0 helps to understand how the different Industry 4.0 technologies could support circular economy strategies, as a basis for the decision-making process of sustainable operations management. To this aim, different types of studies have been collected, dividing theoretical studies from technical-application case studies.
Giuseppina Piscitelli; Angela Ferazzoli; Antonella Petrillo; Raffaele Cioffi; Adele Parmentola; Marta Travaglioni. CIRCULAR ECONOMY MODELS IN THE INDUSTRY 4.0 ERA: A REVIEW OF THE LAST DECADE. Procedia Manufacturing 2020, 42, 227 -234.
AMA StyleGiuseppina Piscitelli, Angela Ferazzoli, Antonella Petrillo, Raffaele Cioffi, Adele Parmentola, Marta Travaglioni. CIRCULAR ECONOMY MODELS IN THE INDUSTRY 4.0 ERA: A REVIEW OF THE LAST DECADE. Procedia Manufacturing. 2020; 42 ():227-234.
Chicago/Turabian StyleGiuseppina Piscitelli; Angela Ferazzoli; Antonella Petrillo; Raffaele Cioffi; Adele Parmentola; Marta Travaglioni. 2020. "CIRCULAR ECONOMY MODELS IN THE INDUSTRY 4.0 ERA: A REVIEW OF THE LAST DECADE." Procedia Manufacturing 42, no. : 227-234.
Companies digitized with the fourth industrial revolution should create an ecosystem of innovation that provides opportunities for dialogue with all the parties involved. Technological developments and transformations should be reflected in innovation processes based on Open Innovation principles. Hence, the purpose of this paper is to analyse and to discuss the Industry 4.0 in Open Innovation perspective. The operational approach consists in identifying and in ranking the determinants that characterize the phenomenon for studying the interrelations between them, using AHP and ISM methods. As a result, Dynamic Capabilities and Know-how emerged as relevant drivers. Anyway, Industry 4.0 paradigm in Open innovation perspective is led by other factors, even though they are weak drivers. Enhancing the understanding of these factors and their interrelations provides valuable insights for each stakeholders and policy maker in the I4.0 environment, thus facilitating this paradigm in Open Innovation perspective.
Marta Travaglioni; Angela Ferazzoli; Antonella Petrillo; Raffaele Cioffi; Fabio De Felice; Giuseppina Piscitelli. Digital manufacturing challenges through open innovation perspective. Procedia Manufacturing 2020, 42, 165 -172.
AMA StyleMarta Travaglioni, Angela Ferazzoli, Antonella Petrillo, Raffaele Cioffi, Fabio De Felice, Giuseppina Piscitelli. Digital manufacturing challenges through open innovation perspective. Procedia Manufacturing. 2020; 42 ():165-172.
Chicago/Turabian StyleMarta Travaglioni; Angela Ferazzoli; Antonella Petrillo; Raffaele Cioffi; Fabio De Felice; Giuseppina Piscitelli. 2020. "Digital manufacturing challenges through open innovation perspective." Procedia Manufacturing 42, no. : 165-172.
Adaptation and innovation are extremely important to the manufacturing industry. This development should lead to sustainable manufacturing using new technologies. To promote sustainability, smart production requires global perspectives of smart production application technology. In this regard, thanks to intensive research efforts in the field of artificial intelligence (AI), a number of AI-based techniques, such as machine learning, have already been established in the industry to achieve sustainable manufacturing. Thus, the aim of the present research was to analyze, systematically, the scientific literature relating to the application of artificial intelligence and machine learning (ML) in industry. In fact, with the introduction of the Industry 4.0, artificial intelligence and machine learning are considered the driving force of smart factory revolution. The purpose of this review was to classify the literature, including publication year, authors, scientific sector, country, institution, and keywords. The analysis was done using the Web of Science and SCOPUS database. Furthermore, UCINET and NVivo 12 software were used to complete them. A literature review on ML and AI empirical studies published in the last century was carried out to highlight the evolution of the topic before and after Industry 4.0 introduction, from 1999 to now. Eighty-two articles were reviewed and classified. A first interesting result is the greater number of works published by the USA and the increasing interest after the birth of Industry 4.0.
Raffaele Cioffi; Marta Travaglioni; Giuseppina Piscitelli; Antonella Petrillo; Fabio De Felice. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability 2020, 12, 492 .
AMA StyleRaffaele Cioffi, Marta Travaglioni, Giuseppina Piscitelli, Antonella Petrillo, Fabio De Felice. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability. 2020; 12 (2):492.
Chicago/Turabian StyleRaffaele Cioffi; Marta Travaglioni; Giuseppina Piscitelli; Antonella Petrillo; Fabio De Felice. 2020. "Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions." Sustainability 12, no. 2: 492.
The construction industry causes significant environmental impacts in terms of global warming and embodied energy consumption. Concrete is one of the most widely used product in the planet. The development of new materials as alternative to cement could lay the foundations for introducing on the market innovative systems with higher performances and lower environmental impacts. The present research investigates, through a life cycle approach, the environmental impacts of the production process of aerated systems based on innovative Geopolymer-based Hybrid Foams (GHF), choosing as system boundary the method “cradle to gate”. The environmental impacts of GHF derived from fly ash (GHF-FA) were compared to GHF based on metakaolin (GHF-MK) and commercial Aerated Autoclaved Concrete (AAC) system. The main result shows that GHF-FA has the lowest environmental impact (in terms of CO2 production), thus it appears as an environmentally friendly material.
Laura Ricciotti; Alessio Occhicone; Antonella Petrillo; Claudio Ferone; Raffaele Cioffi; Giuseppina Roviello. Geopolymer-based hybrid foams: Lightweight materials from a sustainable production process. Journal of Cleaner Production 2019, 250, 119588 .
AMA StyleLaura Ricciotti, Alessio Occhicone, Antonella Petrillo, Claudio Ferone, Raffaele Cioffi, Giuseppina Roviello. Geopolymer-based hybrid foams: Lightweight materials from a sustainable production process. Journal of Cleaner Production. 2019; 250 ():119588.
Chicago/Turabian StyleLaura Ricciotti; Alessio Occhicone; Antonella Petrillo; Claudio Ferone; Raffaele Cioffi; Giuseppina Roviello. 2019. "Geopolymer-based hybrid foams: Lightweight materials from a sustainable production process." Journal of Cleaner Production 250, no. : 119588.
The history of Artificial Intelligence (AI) development dates to the 40s. The researchers showed strong expectations until the 70s, when they began to encounter serious difficulties and investments were greatly, reduced. With the introduction of the Industry 4.0, one of the techniques adopted for AI implementation is Machine Learning (ML) that focuses on the machines ability to receive data series and learn on their own. Given the considerable importance of the subject, researchers have completed many studies on ML to ensure that machines are able to replace or relieve human tasks. This research aims to analyze, systematically, the literature on several aspects, including publication year, authors, scientific sector, country, institution, keywords. Analyzing existing literature on AI is a necessary stage to recommend policy on the matter. The analysis has been done using Web of Science and SCOPUS database. Furthermore, UCINET and NVivo 12 software have been used to complete them. Literature review on ML and AI empirical studies published in the last century was carried out to highlight the evolution of the topic before and after Industry 4.0 introduction, from 1999 to now. Eighty-two articles were reviewed and classified. A first interesting result is the greater number of works published by USA and the increasing interest after the birth of Industry 4.0.
Antonella Petrillo; Marta Travaglioni; Fabio De Felice; Raffaele Cioffi; Giuseppina Piscitelli. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends and Directions. 2019, 1 .
AMA StyleAntonella Petrillo, Marta Travaglioni, Fabio De Felice, Raffaele Cioffi, Giuseppina Piscitelli. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends and Directions. . 2019; ():1.
Chicago/Turabian StyleAntonella Petrillo; Marta Travaglioni; Fabio De Felice; Raffaele Cioffi; Giuseppina Piscitelli. 2019. "Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends and Directions." , no. : 1.