An Industry 4.0 Training Framework Addressing ‘COVID-19 Type’ Disruptions on Manufacturing

2021 ◽  
pp. 60-80
Author(s):  
Jonathan Borg ◽  
Emmanuel Francalanza ◽  
Erwin Rauch ◽  
Goran Putnik ◽  
Catalin Amza ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Ongoing Research ◽  
Educational Backgrounds ◽  
European Universities ◽  
Education Industry ◽  
Systematic Training ◽  
Manufacturing Organization ◽  
Higher Education Industry

Although digitization in the manufacturing industry has been going on for some years, the recent COVID-19 pandemic helped reveal a number of bottlenecks and challenges that still need to be overcome. Joint ongoing research by a number of European Universities aimed at developing a systematic training framework on Industry 4.0 happened to be performed in the midst of the pandemic. COVID-19 meant that suddenly, internal and external workers of different educational backgrounds and in different roles had to rapidly adapt to new working procedures and environments whilst learning to use new technologies. This disruption helped this research group to generate specifications of a Higher Education Industry 4.0 Training Framework (HEI4.0) that is relevant to foster skills and competencies that make manufacturing more resilient to other possible scenarios requiring social distancing limitations. This paper outlines the details of the research performed and contributes the concept and value of establishing what is termed as the ‘flow-cognitive profile chart’ of a manufacturing organization to effectively help it in its transition towards digital manufacturing. Based on this concept, the paper passes on to prescribe a HEI4.0 Training Framework intended to guide manufacturing organizations in addressing ‘COVID-19 type’ manufacturing disruptions that can take place in other future unforeseen circumstances.

The future of manufacturing industry: a strategic roadmap toward Industry 4.0

2018 ◽  
Vol 29 (6) ◽  
pp. 910-936 ◽  
Author(s):  
Morteza Ghobakhloo
Keyword(s):  
Language Processing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Core Competencies ◽  
Building Blocks ◽  
Design Principles ◽  
Ongoing Research ◽  
Holistic View ◽  
Content Type ◽  
Technology Trends

Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition. Design/methodology/approach The study performs a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson’s natural language processing for advanced text analysis. Findings Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later. Research limitations/implications The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one-size-fits-all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company’s core competencies, motivations, capabilities, intent, goals, priorities and budgets. Practical implications The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0. Originality/value The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.

scholarly journals Impact Covid-19 pandemic on implementation Industry 4.0 in enterprises and supply chains

2020 ◽  
Vol 150 ◽  
pp. 183-198
Author(s):  
Iwona PISZ ◽  
Keyword(s):  
Supply Chains ◽  
Value Chain ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Project Managers ◽  
Accelerator Pedal ◽  
Key Aspects ◽  
The Impact

Purpose: The aim of this study is to discuss the impact COVID-19 pandemic on implementation 4.0 technologies in enterprises and supply chains. Design/methodology/approach: The study performs review of literature to identify key aspects of Industry 4.0, the COVID-19 pandemic in the economy. Findings: The paper explained the changes in the functioning of enterprises and supply chains and their transformation towards Industry 4.0. The authors defined the impact of the COVID-19 pandemic in the context of applying technology trends of the Industry 4.0 by enterprises and supply chains. We claim that in the enterprises and supply chains will be the need to invest in new technologies for the long term and implement new infrastructures. The COVID-19 pandemic is likely to help us push the accelerator pedal on Industry 4.0 in the industries, especially manufacturing industry. Originality/value: The study is one of the analysis of the relationships between enterprises and supply chains in the framework of Industry 4.0 and the aspects the COVID-19 pandemic in creating value chain. The study can be addressed to project managers and supply chains managers responded for implementation technologies of Industry 4.0.

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

2020 ◽  
Vol 12 (2) ◽  
pp. 492 ◽  
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Fabio De Felice
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Empirical Studies ◽  
Sustainable Manufacturing ◽  
Before And After ◽  
Machine Learning Applications ◽  
The Usa

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.

scholarly journals Industry 4.0 in a dualistic manufacturing sector – qualitative experiences from enterprises and their environment, Eastern Hungary

2020 ◽  
Vol 69 (2) ◽  
pp. 157-174
Author(s):  
Csongor Nagy ◽  
Ernő Molnár ◽  
Éva Kiss
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Manufacturing Sector ◽  
Competitive Advantages ◽  
Manufacturing Companies ◽  
Corporate Structure ◽  
East Central Europe ◽  
Global Industry ◽  
Domestic Companies

Industry 4.0 developing on the basis of digitalisation is gradually transforming production, the conditions of competition and relationships in global industry, affecting its interpretation and expanding its limits. This paper attempts to explore changing economic geographical context with the revaluation of comparative and competitive advantages in a semi-peripheral area of the EU. Based on company interviews, the effects of the new technologies of Industry 4.0 on the dual Hungarian manufacturing industry and its spatial structure are studied, and that whether they contribute to the reduction of duality and geographical polarization. In Eastern Hungary – just like in most areas in East-Central Europe – internationally competitive manufacturing companies emerged almost exclusively as a result of foreign direct investment, while domestic companies are forced into secondary or dependent roles. The empirical research has revealed significant differences in the progress of companies in Industry 4.0. Hungarian-owned companies evolve in a specific way from several aspects and face many difficulties. In contrast, enterprises with foreign interest continue to be the engine of development, driven from the “outside”. Duality is also reflected in the corporate structure, in space and in the realisation of Industry 4.0.

SWOT analysis of Industry 4.0 variables using AHP methodology and structural equation modelling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vineet Jain ◽  
Puneeta Ajmera ◽  
João Paulo Davim
Keyword(s):  
Factor Analysis ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Swot Analysis ◽  
New Technologies ◽  
Production Systems ◽  
Original Data ◽  
Content Type ◽  
Four Dimensions

PurposeAdvanced digitalization techniques combined with artificial intelligence and automated robotic systems have created “Smart” organizations resulting in a new revolution in the industrial production systems as Industry 4.0 (I4.0). The research is aimed to do a meticulous scanning of internal and external environment pertaining to I4.0 implementation in the manufacturing industry in India.Design/methodology/approachA survey was conducted among the manufacturing managers and information technology professionals about the factors affecting I4.0 application, and 20 such internal and external factors were identified. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were executed for factor analysis, and four dimensions in terms of strengths, weaknesses, opportunities and threats (SWOT) factors were determined from the variables. The analytical hierarchy process (AHP) methodology was then applied.FindingsResults show that increased productivity and efficiency appeared to be the biggest strength of I4.0 while the biggest weakness is the need for specialized training and skills. The biggest opportunity is found to be increasing trust of customers in Internet transactions and employee resistance to adopting new technologies turned out to be the biggest threat.Practical implicationsOrganizations will be able to evaluate the strengths, work upon weakness, exploit the opportunities and protect against external challenges and threats beforehand while implementing I4.0 technologies.Originality/valueThe four dimensions in terms of SWOT pertaining to manufacturing industry have been identified by collecting original data from the manufacturing industry, and AHP and CFA were then carried out to prioritize and verify them.

Technological Change in Turkish Manufacturing Industry: The Case of Gaziantep City

2017 ◽  
Vol 6 (1) ◽  
pp. 77
Author(s):  
Mehmet Ragıp KALELİOGLU
Keyword(s):  
Technological Change ◽  
Global Economy ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Work Force ◽  
Technological Transformation ◽  
Technological Infrastructure ◽  
Technological Level ◽  
Considerable Work ◽  
Key Indicators

:Ensuring competition in global economy, the production of high value products within the country and the reduction of current budget deficit; in other words, increasing the output of industries manufacturing intermediate goods and end products, which have high import dependency, are major targets of Turkey. The state of technological infrastructure of manufacturing industry in the country as well as the process of change that the industry undergoes are essential for the realization of these targets. New technologies play an important role in the competitiveness and economic development of cities, region and the country in the international market. In particular, the use of new technologies in manufacturing industry and companies’ capacity for innovation are prerequisites for businesses to enter a tougher competition in the global economy as well as for cities and countries to persevere on the larger scale. In this respect, the main purpose of this study is to examine the technological transformation of the manufacturing industry in Gaziantep, which is positioned in the top five among Turkey's exports and employs a considerable work force, in comparison to the technological change experienced by the manufacturing industry in Turkey. In the study, the technological level of manufacturing industry in Turkey and the technological change process of manufacturing industry in Gaziantep are presented between 2009-2016 with key indicators. The findings of this study reveal that the current level of technology the city of Gaziantep manufacturing industry has had is far behind the level Turkish manufacturing industry has reached.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Sludge minimization by disintegration at different wastewater treatment plants

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Luchien Luning ◽  
Paul Roeleveld ◽  
Victor W.M. Claessen
Keyword(s):  
Organic Matter ◽  
Wastewater Treatment ◽  
Anaerobic Digestion ◽  
Sewage Sludge ◽  
New Technologies ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Biological Degradation ◽  
Ongoing Research ◽  
Sludge Minimization

In recent years new technologies have been developed to improve the biological degradation of sewage sludge by anaerobic digestion. The paper describes the results of a demonstration of ultrasonic disintegration on the Dutch Wastewater Treatment Plant (WWTP) Land van Cuijk. The effect on the degradation of organic matter is presented, together with the effect on the dewatering characteristics. Recommendations are presented for establishing research conditions in which the effect of sludge disintegration can be determined in a more direct way that is less sensitive to changing conditions in the operation of the WWTP. These recommendations have been implemented in the ongoing research in the Netherlands supported by the National Institute for wastewater research (STOWA).

Emerging Industrial Revolution: Symbiosis of Industry 4.0 and Circular Economy: The Role of Universities

2020 ◽  
Vol 25 (3) ◽  
pp. 505-525 ◽  
Author(s):  
Seeram Ramakrishna ◽  
Alfred Ngowi ◽  
Henk De Jager ◽  
Bankole O. Awuzie
Keyword(s):  
Economic Growth ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
New Technologies ◽  
Production Systems ◽  
Fourth Industrial Revolution ◽  
New Jobs

Growing consumerism and population worldwide raises concerns about society’s sustainability aspirations. This has led to calls for concerted efforts to shift from the linear economy to a circular economy (CE), which are gaining momentum globally. CE approaches lead to a zero-waste scenario of economic growth and sustainable development. These approaches are based on semi-scientific and empirical concepts with technologies enabling 3Rs (reduce, reuse, recycle) and 6Rs (reuse, recycle, redesign, remanufacture, reduce, recover). Studies estimate that the transition to a CE would save the world in excess of a trillion dollars annually while creating new jobs, business opportunities and economic growth. The emerging industrial revolution will enhance the symbiotic pursuit of new technologies and CE to transform extant production systems and business models for sustainability. This article examines the trends, availability and readiness of fourth industrial revolution (4IR or industry 4.0) technologies (for example, Internet of Things [IoT], artificial intelligence [AI] and nanotechnology) to support and promote CE transitions within the higher education institutional context. Furthermore, it elucidates the role of universities as living laboratories for experimenting the utility of industry 4.0 technologies in driving the shift towards CE futures. The article concludes that universities should play a pivotal role in engendering CE transitions.

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