THE FIFTH DISCIPLINE The Art & Practice of the Learning Organization

http://jultika.oulu.fi/files/nbnfi-fe2017112150815.pdf

One-part alkali-activated materials : a review

The Federal Aviation Administration (FAA), with its NextGen Air Transportation System (NextGen) and Performance-Based Navigation (PBN) initiatives, is moving towards a concept of integrated procedures implementation. Performance-Based Navigation initiatives include implementing Area Navigation (RNAV) and Required Navigation Performance (RNP) routes and procedures. The integrative concept of implementation of these procedures would mean a migration away from site by site (or runway by runway) procedure implementation process towards a NextGen readiness concept. This concept will include development of an integrated system of PBN routes and procedures by geographic area (incorporating metro areas and outlying airports). This concept delivers optimum benefits for the air traffic and carrier community. In addition, the integrative approach helps in prioritizing and formulating the funding requests to combine airspace, environmental, and procedures development. This paper discusses different aspects of this integrative approach.

http://ieeexplore.ieee.org/iel5/5165450/5172820/05172877.pdf

Integrated approach

Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective

What is total quality control? : the Japanese way

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.

Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions

Life cycle assessment (LCA) and life cycle cost (LCC) analysis model for a stand-alone hybrid renewable energy system

The globalization and the competitiveness are forcing companies to rethink and to innovate their production processes following the so-called Industry 4.0 paradigm. It represents the integration of tools already used in the past (big data, cloud, robot, 3D printing, simulation, etc.) that are now connected into a global network by transmitting digital data. The implementation of this new paradigm represents a huge change for companies, which are faced with big investments. In order to benefit from the opportunities offered by the smart revolution, companies must have the prerequisites needed to withstand changes generated by "smart" system. In addition, new workers who face the world of work 4.0 must have new skills in automation, digitization, and information technology, without forgetting soft skills. This chapter aims to present the main good practices, challenges, and opportunities related to Industry 4.0 paradigm.

/pdf/fourth-industrial-revolution-current-practices-challenges-1w5ryqfzx3.pdf

Fourth Industrial Revolution: Current Practices, Challenges, and Opportunities

The drive to lower operating costs and improve manufacturing efficiency has led many manufacturing companies to implement different methodologies in order to identify a suitable risk assessment model. So, the concern for safety in industrial activities, both inside the establishments and in their surroundings, has a crucial role. As a result, many laws, regulations and risk analysis techniques are well adapted to industry needs since they were developed for its purpose. However increasing safety is often difficult, especially when you have already obtained good results, so the aim of our paper is the proposal of a new methodological approach called the safety improve risk assessment (SIRA) by integrating the conventional aspects of the popular failure mode, effects, and criticality analysis (FMECA) procedure with economic considerations in order to take into account the risk and to minimise the total safety costs by defining a specific index called total risk priority number (TRPN) index. The index propos...

Multi-criteria risk analysis to improve safety in manufacturing systems

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bse.2882

Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs)

Fabio De Felice

Papers

Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions

Life cycle assessment (LCA) and life cycle cost (LCC) analysis model for a stand-alone hybrid renewable energy system

Fourth Industrial Revolution: Current Practices, Challenges, and Opportunities

Multi-criteria risk analysis to improve safety in manufacturing systems

Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs)