A Case Study of the Introduction of Smart Factory Operation Management(FOM) in the Fourth Industrial Revolution Era

Purpose The purpose of this study is to reveal the similarities and differences between the manufacturing and service industries in their prioritization of technologies and public research and development (R&D) roles, along with the complementation of properties of technology and public R&D role in the context of Fourth Industrial Revolution. Design/methodology/approach Two rounds of Delphi surveys were designed to meet the purpose of this study, which used rigorous triangulation techniques. The Delphi method was combined with the brainstorming method in the first-round Delphi survey, while the second-round Delphi survey focused on experts’ judgments. Finally, language network analysis was performed on the properties of technology and public R&D roles to complement the data analyses regarding prioritization. Findings This study identifies different prioritizations of five similar key technologies in each industry, so that it can note different technological impacts to the two industries in the Fourth Industrial Revolution. Smart factory technology is the first priority in the manufacturing industry, whereas artificial intelligence is the first priority in the service industry. The properties of the three common technologies: artificial intelligence, big data and Internet of things in both industries are summarized in hyper-intelligence on hyper-connectivity. Moreover, it is found that different technological priorities in the service and manufacturing industries require different approaches to public R&D roles, while public R&D roles cover market failure, system failure and government failure. The highest priority public R&D role for the service industry is the emphasis of non-R&D roles. Public R&D role to solve dy-functions, focus basic technologies and support challenging areas of R&D is prioritized at the highest for the manufacturing industry. Originality/value This study of the different prioritizations of technologies in the manufacturing and service industries offers practical lessons for executive officers, managers and policy-makers. They, by noting the different technological impacts in the manufacturing and service industries, can prepare for current actions and establish the priority of technology for R&D influencing the future paths of their industries in the context of the Fourth Industrial Revolution. While managers in the service industry should pay greater attention to the technological content of hyper-intelligence and hyper-connectivity, managers in the manufacturing industry should consider smart factory and robot technology.

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INDUSTRY 4.0 and TURKEY

Business And Management Studies An International Journal ◽

10.15295/bmij.v7i1.1038 ◽

2019 ◽

Vol 7 (1) ◽

pp. 24-41

Author(s):

Esra YAŞAR ◽

Tuba ULUSOY

Keyword(s):

Product Quality ◽

Industry 4.0 ◽

Industrial Revolution ◽

Production Costs ◽

International Competition ◽

Smart Factory ◽

Fourth Industrial Revolution ◽

Survey Technique ◽

The World

In 2011, Germany kicked off the Fourth Industrial Revolution (Industry 4.0) to empower its economy. Since then, revolutionary changes have been implemented all over the world, increasing international competition. Smart-factory capabilities emerging from Industry 4.0 have many benefits such as lowering production costs of existing factories and increasing product quality. However, with such revolutionary changes, an orientation period is required for any implementer. To efficiently manage such an orientation period, the extant situation must first be analyzed. Only then should the necessary changes and innovations be applied. In this study, Turkey’s Industry 4.0 adoption opportunities are evaluated by using a survey technique that analyzes extant situations and potential results.

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Towards a Flexible Smart Factory with a Dynamic Resource Orchestration

Applied Sciences ◽

10.3390/app11177956 ◽

2021 ◽

Vol 11 (17) ◽

pp. 7956

Author(s):

Milan Pisarić ◽

Vladimir Dimitrieski ◽

Marko Vještica ◽

Goran Krajoski ◽

Mirna Kapetina

Keyword(s):

Production Process ◽

Industrial Revolution ◽

Smart Factory ◽

Production Lines ◽

Industrial Case Study ◽

New Approach ◽

Software Product ◽

Resource Orchestration ◽

Dynamic Resource

Amid the current industrial revolution, a total disruption of the existing production lines may seem to be the easiest approach, as the potential possibilities seem limitless when starting from the ground up. On the business side, an adaptation of existing production lines is always a preferred option. In support of adaptation as opposed to disruption, this paper presents a new approach of using production process orchestration in a smart factory, discussed in an industrial case-study example. A proposed smart factory has the Orchestrator component in its core, responsible for complete semantical orchestration of production processes on one hand, and various factory resources on the other hand, in order to produce the desired product. The Orchestrator is a complex, modular, highly scalable, and pluggable software product responsible for automatised planning, scheduling, and execution of the complete production process. According to their offered capabilities, non-smart and smart resources—machines, robots, humans—are simultaneously and dynamically assigned to execute their dedicated production steps.

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SUPPORTING THE TRANSITION FROM SCHOOL TO ACTIVE LIFE. CASE STUDY: FEEDBACK ANALYSIS OF THE INTERNSHIPS STUDENTS OF „VASILE ALECSANDRI” UNIVERSITY OF BACAU

Journal of Engineering Studies and Research ◽

10.29081/jesr.v26i2.167 ◽

2020 ◽

Vol 26 (2) ◽

pp. 42-49

Author(s):

MARIA-CRINA RADU ◽

PETRONELA SAVIN ◽

VALENTIN NEDEFF ◽

ROXANA GRIGORE

Keyword(s):

Industrial Revolution ◽

Practical Training ◽

Key Factors ◽

Feedback Analysis ◽

Economic Agents ◽

Fourth Industrial Revolution ◽

Active Life ◽

Life Education ◽

And Training

At all stages of life, education and training are essential aspects of human development and key factors for economic growth, jobs, and social cohesion. High quality and inclusive training must be a main goal of our society, especially as we live in a very challenging period, governed by the fourth industrial revolution, that transforms economies, jobs, and the society itself. Because of this, the „Vasile Alecsandri” University of Bacau is involved as a partner, with other universities, in a project with European funding, that facilitates practical training of students at economic partners, to increase the employability of graduates and obtain feedback from employers to correlate the curriculum to the labor market. The current paper aims to present a case study related to the feedback offered by the students who carried-out internships at local economic agents, within the above-mentioned project.

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Factors Influencing Port Terminal Automation in the Fourth Industrial Revolution

Responsible, Sustainable, and Globally Aware Management in the Fourth Industrial Revolution - Advances in Business Strategy and Competitive Advantage ◽

10.4018/978-1-5225-7638-9.ch010 ◽

2019 ◽

pp. 244-277

Author(s):

Indira Padayachee ◽

John Mukomana

Keyword(s):

Industrial Revolution ◽

Organizational Factors ◽

Cargo Handling ◽

Fourth Industrial Revolution ◽

Factors Influencing ◽

Skills Retention ◽

Integral Role ◽

Information And Communication ◽

It Skills

Port terminals play an integral role in the transportation logistics chain by providing cargo handling, storage, and warehousing services to a range of shipping lines, freight forwarders, and cargo owners. This chapter reports on a case study aimed at determining the challenges and limitations experienced with the current information and communication technology used in port terminals in Durban and examines how technological, organizational, and environmental factors influence port automation. A quantitative approach was adopted, and a questionnaire was designed to collect data. The findings revealed that adequate technology needs to be acquired, and the compatibility and complexity of the technology have the biggest influence on the automation of terminal ports in Durban. Communication with stakeholders and IT skills retention were found to be the most important organizational factors and customer readiness emerged as an important environmental factor influencing the automation of port terminals in Durban.

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Readiness for the Fourth Industrial Revolution

Advances in Human Resources Management and Organizational Development - Future of Work, Work-Family Satisfaction, and Employee Well-Being in the Fourth Industrial Revolution ◽

10.4018/978-1-7998-3347-5.ch002 ◽

2021 ◽

pp. 12-29

Author(s):

Dagogo William Legg-Jack

Keyword(s):

Technology Acceptance ◽

South African ◽

Industrial Revolution ◽

Study Approach ◽

Fourth Industrial Revolution ◽

Sample Data ◽

Readiness To Learn ◽

Acceptance Model ◽

The Impact

This chapter explored the readiness of a South African university to take part in the fourth industrial revolution by exploring the experiences of students in science and technology on the impact of COVID-19 in the learning of their practical modules. Guided by two research questions, namely how the COVID-19 has impacted students' engagement with their practical modules and students' readiness to learn remotely and carry out the practical aspects of their modules, the chapter employ a qualitative case study approach to explore the views of students that offer courses that involve practical. Seven fourth-year students were purposively selected as study sample. Data were generated online using Google forms and were analysed thematically. The chapter was framed using the technology acceptance model. Findings revealed the following: ease and clarity of concept, lack of interaction with others, lack of motivation, lack of access to ICT facilities, lack of relevant materials to execute practical tasks, and lack of conducive learning environment.

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Technology analysis of artificial intelligence using Bayesian inference for neural networks

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.3.9965 ◽

2018 ◽

Vol 7 (2.3) ◽

pp. 43

Author(s):

Sunghae Jun

Keyword(s):

Artificial Intelligence ◽

Neural Networks ◽

Bayesian Inference ◽

Industrial Revolution ◽

Statistical Modelling ◽

Fourth Industrial Revolution ◽

Research Institutes ◽

Patent Documents ◽

The Internet Of Things

At present, artificial intelligence (AI) technology is receiving much attention and applied in each field of society. AI is one of the key technologies to lead the fourth industrial revolution along with the internet of things and big data. Therefore, many companies and research institutes are trying to systematically analyze AI technology in order to understand the AI itself correctly. In this paper, we also study on a method to analyze AI technology based on quantitative approach. We correct the patent documents related to AI technology, and analyze them using statistical modelling. We use Bayesian inference for neural networks to build our proposed method. To verify the validity of our research, we carry out a case study using the AI patent documents.

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Revolutionary dreams: Future essentialism and the sociotechnical imaginary of the fourth industrial revolution in Denmark

Social Studies of Science ◽

10.1177/0306312719867768 ◽

2019 ◽

Vol 50 (4) ◽

pp. 542-566

Author(s):

Kasper Schiølin

Keyword(s):

Public Reason ◽

Industrial Revolution ◽

National Level ◽

Original Material ◽

Discursive Strategies ◽

Fourth Industrial Revolution ◽

The World ◽

World Economic ◽

To Come

In 2015, the World Economic Forum announced that the world was on the threshold of a ‘fourth industrial revolution’ driven by a fusion of cutting-edge technologies with unprecedented disruptive power. The next year, in 2016, the fourth industrial revolution appeared as the theme of the Forum’s annual meeting, and as the topic of a book by its founder and executive chairman, Klaus Schwab. Ever since, the Forum has made this impending revolution its top priority, maintaining that it will inevitably change everything we once know about the world and how to live in it, thus creating what I conceptualize as ‘future essentialism’. Within a short space of time, the vision of the fourth industrial revolution was institutionalized and publicly performed in various national settings around the world as a sociotechnical imaginary of a promising and desirable future soon to come. Through readings of original material published by the Forum, and through a case study of the reception of the fourth industrial revolution in Denmark, this article highlights and analyses three discursive strategies – ‘dialectics of pessimism and optimism’, ‘epochalism’ and ‘inevitability’ – in the transformation of a corporate, highly elitist vision of the future into policymaking and public reason on a national level.

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Assessment of the Degree of Implementation of Industry 4.0 Technologies: Case Study of Murcia Region in Southeast Spain

Engineering Economics ◽

10.5755/j01.ee.32.5.27943 ◽

2021 ◽

Vol 32 (5) ◽

pp. 422-432

Author(s):

Antonio Guerrero González ◽

Daniel Robles Quiñonero ◽

Samuel Fraile Vega

Keyword(s):

Industry 4.0 ◽

Industrial Revolution ◽

Additional Data ◽

Face To Face ◽

Fourth Industrial Revolution ◽

Current State ◽

Current Context ◽

The Relationship ◽

And Training

This work analyzes how the so-called Industry 4.0 technologies are being implemented in companies in the Region of Murcia, in Southeastern Spain. The objective was to determine through questionnaires and face-to-face interviews the current state of 4.0 technologies in Murcia, including additional data of the companies, such as age, number of employees and turnover. Most types of companies in the Region were represented in terms of size, age, turnover, profits and profitability. This study analyzes the relationship between the degree of implementation of 4.0 technologies, investment and training of workers, with companies’ seniority, number of employees, turnover, profits and profitability. The results obtained are significantly higher in companies with higher turnover, profits and profitability, which in turn, have the best levels of investment and training of their workers in 4.0 technologies. The opinions of the companies determined the factors that drove the companies to implement these technologies, the factors perceived as barriers, the opportunities in the current context that encourage the adoption of technologies, as well as the threats that may jeopardize their progress in digital transformation. The conclusions obtained can be taken into account in regional policies that implement appropriate actions to help drive the fourth industrial revolution in the region.

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SME’s versus “Industry 4.0”: extended case study based on results of initial research in Polish conditions

Multidisciplinary Aspects of Production Engineering ◽

10.2478/mape-2019-0030 ◽

2019 ◽

Vol 2 (1) ◽

pp. 305-314

Author(s):

Jan Kaźmierczak

Keyword(s):

Industry 4.0 ◽

Industrial Revolution ◽

Medium Size ◽

Fourth Industrial Revolution ◽

Initial Research ◽

Short Presentation

Abstract In this paper the author tries to present and analyze some results of his researches focused on surveying the expectations and needs as well as troubles and difficulties concerned with confronting small and medium size enterprises (SME’s) with various challenges generated by the fourth industrial revolution (Industry 4.0). After presenting in the first part of the paper a listing and some subjective discussion of general as well as particular problems of implementing the Industry 4.0 approach in practice of the contemporary industry, in next chapters the adopted assumptions as well as obtained results of the SME’s oriented survey are introduced together with a short presentation and discussion of used methods and tools of research. The cases of Polish SME’s are illustrated by results of investigating a limited group of firms, which fulfil SME criteria and are located and operating in Metropolis GZM (Silesian Voivodeship, Poland). In the last part of the papers the author summarizes obtained results and proposes some next steps of further research.

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