scholarly journals Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6783
Author(s):  
Tahera Kalsoom ◽  
Naeem Ramzan ◽  
Shehzad Ahmed ◽  
Masood Ur-Rehman
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Low Cost ◽  
Intelligent Manufacturing ◽  
Smart Factory ◽  
Future Research ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Different Types ◽  
Smart Factories

The evolution of intelligent manufacturing has had a profound and lasting effect on the future of global manufacturing. Industry 4.0 based smart factories merge physical and cyber technologies, making the involved technologies more intricate and accurate; improving the performance, quality, controllability, management, and transparency of manufacturing processes in the era of the internet-of-things (IoT). Advanced low-cost sensor technologies are essential for gathering data and utilizing it for effective performance by manufacturing companies and supply chains. Different types of low power/low cost sensors allow for greatly expanded data collection on different devices across the manufacturing processes. While a lot of research has been carried out with a focus on analyzing the performance, processes, and implementation of smart factories, most firms still lack in-depth insight into the difference between traditional and smart factory systems, as well as the wide set of different sensor technologies associated with Industry 4.0. This paper identifies the different available sensor technologies of Industry 4.0, and identifies the differences between traditional and smart factories. In addition, this paper reviews existing research that has been done on the smart factory; and therefore provides a broad overview of the extant literature on smart factories, summarizes the variations between traditional and smart factories, outlines different types of sensors used in a smart factory, and creates an agenda for future research that encompasses the vigorous evolution of Industry 4.0 based smart factories.

Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Manufacturing Industry ◽  
Process Management ◽  
Process Mining ◽  
Smart Factory ◽  
Manufacturing Processes ◽  
Planning And Control ◽  
And Control

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

scholarly journals Canvas B.M. in the global revolutionary era of digitisation in the industry 4.0: A review

2021 ◽  
Vol 92 ◽  
pp. 04006
Author(s):  
Petra Domanižová ◽  
Nikola Janíčková
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Value Added ◽  
Business Environment ◽  
Future Research ◽  
Manufacturing Companies ◽  
Revolutionary Era ◽  
Digital World

Research background: Industry 4.0, also known as the Fourth Industrial Revolution, describes the digitisation of the manufacturing industry. The transition to 4.0 is crucial for manufacturing companies to maintain a competitive advantage and take advantage of new opportunities. This article contributes to research with a framework for the description, analysis, and classification of Canvas B.M. for 4.0. Purpose of the article: The following report provides a review of the literature to expand our knowledge of how Industry 4.0 affects business models. This article aims to specify and map the level of knowledge about the Canvas business model and its application in the new revolutionary era of the digital world in the manufacturing industry 4.0. The findings deepen the understanding of how 4.0 affects the manufacturing industry, B.M., and the behaviour of the current economic environment. Methods: A literature review. Then the comparison of the author’s views on the use of the business model, innovation, and adaptation under the influence of digitisation. The literature survey was conducted in articles indexed in the Web of Science and Scopus to carry out a critical analysis of collected data and the exposition of some conclusions and future research opportunities. Findings & value added: A lot of research in the field of industry 4.0 using Canvas B.M., but very often, the view of the Czech business environment is neglected. Focusing on this area may lead to future research. This literary review focuses on the latest literature.

Lessons learned from Industry 4.0 implementation in the German manufacturing industry

2019 ◽  
Vol 31 (5) ◽  
pp. 977-997 ◽  
Author(s):  
Johannes W. Veile ◽  
Daniel Kiel ◽  
Julian Marius Müller ◽  
Kai-Ingo Voigt
Keyword(s):  
Corporate Culture ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Qualitative Content Analysis ◽  
Implementation Process ◽  
Lessons Learned ◽  
Future Research ◽  
Manufacturing Companies ◽  
Content Type ◽  
Manufacturing Enterprises

Purpose Industry 4.0 is assumed to yield extensive industry-spanning opportunities. However, exploiting these opportunities requires a targeted implementation of Industry 4.0. The purpose of this paper is to generate a deeper understanding of relevant implementation action. Existing recommendations are mostly general, highly aggregated and difficult to grasp. Yet, specific and concrete actions that need to be taken to accelerate the realization of Industry 4.0 are essential. Design/methodology/approach The article uses 13 semi-structured in-depth expert interviews as the source of empirical data. The interviews were conducted with managers from Industry 4.0-experienced German manufacturing companies. All interviews are analyzed using qualitative content analysis. Findings The study reveals relevant and targeted aspects for Industry 4.0 implementation: the development of Industry 4.0-specific know-how, securing financial resources, integrating employees into the implementation process and establishing an open-minded and flexible corporate culture. Further aspects include comprehensive planning processes, cooperation with external partners, proper handling of data interfaces, interdisciplinary communication, an adaptable organizational structure and data security. Research limitations/implications The paper is limited to German manufacturing enterprises and should be transferred to other industries and countries. Practical implications The study supports managers to effectively implement Industry 4.0 within their organizations and consequently benefit from Industry 4.0 and derives recommendations for future research. Originality/value The paper is among the first to give specific and concrete examples for lessons learned from Industry 4.0 implementation, directly obtained from industrial application.

scholarly journals Appropriate Smart Factory for SMEs: Concept, Application and Perspective

2020 ◽  
Vol 22 (1) ◽  
pp. 201-215
Author(s):  
Woo-Kyun Jung ◽  
Dong-Ryul Kim ◽  
Hyunsu Lee ◽  
Tae-Hun Lee ◽  
Insoon Yang ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Low Cost ◽  
Smart Factory ◽  
Small Data ◽  
Manufacturing Companies ◽  
Technical Application ◽  
Definition Of ◽  
Garment Manufacturing

AbstractIn the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.

Industrie 4.0 in der Textilindustrie*/Industry 4.0 - Integrated Industry in the textile industry: Smart factory approaches with a special focus on textile products and processes

2015 ◽  
Vol 105 (04) ◽  
pp. 195-199
Author(s):  
R. Riedel ◽  
N. Göhlert ◽  
E. Müller
Keyword(s):  
Textile Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrie 4.0 ◽  
Smart Factory ◽  
Special Focus ◽  
Considerable Potential ◽  
Textile Products

Industrie 4.0 bietet für die produzierende Industrie in Deutschland erhebliche Potentiale zur Steigerung der Wettbewerbsfähigkeit. Die Anwendung und volle Ausnutzung der Möglichkeiten entsprechender Technologien sind jedoch an bestimmte Voraussetzungen gebunden. Der Fachbeitrag reflektiert vor diesem Hintergrund die Umsetzungspotentiale von Industrie 4.0 in der Textilindustrie.   Industry 4.0, also called Integrated Industry, provides considerable potential for the manufacturing industry in Germany to increase its competitiveness. However, the application and the full exploitation of the potential of those technologies depend on certain conditions. Against this background, the article reflects on the implementation potential of Industrie 4.0 in the textile industry.

scholarly journals Maturity Level of Kosovo Manufacturing Industry with regard to Industry 4.0

2018 ◽  
Vol 6 (3) ◽  
pp. 1-8
Author(s):  
Fatmir Azemi ◽  
Edmond Hajrizi ◽  
Bekim Maloku
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Chief Executive ◽  
Business Environment ◽  
Average Score ◽  
Furniture Industry ◽  
Manufacturing Companies ◽  
Maturity Level ◽  
Unskilled Workers

In this paper the concept of Maturity Level of Kosovo Industry will be presented according to the Industry 4.0. Digitalization of factory has impact the entire business environment and lead to Smart Enterprises. To create a model of Smart Factory, first we have analyzed the existing situation of Kosovo Manufacturing Industry with regard to revolution of Industry. In this paper we will describe the results of a recent research at the Kosovo manufacturing companies and are included metalworking and furniture industry, where is developed a Maturity Level for Kosovo Industry. To describe the Maturity Level of Kosovo Industry we have delivered questionnaire and have been done interviews with CEOs (Chief Executive Officer). The average score of Industrial Maturity Level for Kosovo Industry is 2.14 which represent 2nd Industrial Revolution, but some of enterprises belong to 3rd Industrial Revolution. Also, the main barriers of this low level of Maturity Level of Kosovo Industry are highlights based on questionnaire and interviews with CEOs, such as: lack of training programs, language barriers, high cost of purchasing/maintenance of technology, unskilled workers, and est.

scholarly journals Multi-Layer Quality Inspection System Framework for Industry 4.0

2021 ◽  
Vol 15 (5) ◽  
pp. 641-650
Author(s):  
Victor Azamfirei ◽  
◽  
Anna Granlund ◽  
Yvonne Lagrosen
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Production Control ◽  
Measurement Instrument ◽  
Future Research ◽  
Inspection System ◽  
Work Piece ◽  
Quality Inspection ◽  
Industrial Case Study ◽  
Key Factor

In the era of market globalisation, the quality of products has become a key factor for success in the manufacturing industry. The growing demand for customised products requires a corresponding adjustment of processes, leading to frequent and necessary changes in production control. Quality inspection has been historically used by the manufacturing industry to detect defects before customer delivery of the end product. However, traditional quality methods, such as quality inspection, suffer from large limitations in highly customised small batch production. Frameworks for quality inspection have been proposed in the current literature. Nevertheless, full exploitation of the Industry 4.0 context for quality inspection purpose remains an open field. Vice-versa, for quality inspection to be suitable for Industry 4.0, it needs to become fast, accurate, reliable, flexible, and holistic. This paper addresses these challenges by developing a multi-layer quality inspection framework built on previous research on quality inspection in the realm of Industry 4.0. In the proposed framework, the quality inspection system consists of (a) the work-piece to be inspected, (b) the measurement instrument, (c) the actuator that manipulates the measurement instrument and possibly the work-piece, (d) an intelligent control system, and (e) a cloud-connected database to the previous resources; that interact with each other in five different layers, i.e., resources, actions, and data in both the cyber and physical world. The framework is built on the assumption that data (used and collected) need to be validated, holistic and on-line, i.e., when needed, for the system to effectively decide upon conformity to surpass the presented challenges. Future research will focus on implementing and validating the proposed framework in an industrial case study.

Reshoring drivers and barriers in the Swedish manufacturing industry

2018 ◽  
Vol 11 (2) ◽  
pp. 174-201 ◽  
Author(s):  
Gabriella Engström ◽  
Kristina Sollander ◽  
Per Hilletofth ◽  
David Eriksson
Keyword(s):  
Manufacturing Industry ◽  
Future Research ◽  
Location Decisions ◽  
Location Decision ◽  
Manufacturing Companies ◽  
Content Type ◽  
Manufacturing Location ◽  
Practical Implications ◽  
Insight Into

PurposeThe purpose of this study is to explore reshoring drivers and barriers from a Swedish manufacturing perspective.Design/methodology/approachThis paper is a case study, including four Swedish manufacturing companies, with focus on drivers and barriers from the context of the Swedish manufacturing industry. A literature review of previously established drivers and barriers is used to map out the empirical findings and thereby identify potential gaps between the current body of literature and drivers and barriers from a Swedish manufacturing context.FindingsThe findings of the study suggest that quality issues continue to be one of the strongest reshoring drivers. Except for product quality, quality is also connected to host country’s infrastructure, communication and service. The supply chain perspective is a source of several drivers and is identified as a perspective often overlooked in offshoring decisions. Barriers related to firm specifics were more elaborately discussed by the companies, especially concerning calculation of location decision and the need to invest in resources, which allows for a higher level of capacity at the home country facility.Research limitations/implicationsThe study develops a structured table of reshoring drivers and barriers which can serve as a base for future research. Future research on the calculation of location decisions is deemed as a crucial step to further understand reshoring and aid companies in the decision-making process.Practical implicationsThe drivers and barriers identified in the study can give practitioners insight into reshoring from the perspective of the Swedish manufacturing industry and thus aid in future manufacturing location decisions. The table of drivers and barriers can also be important to understand how Sweden can strengthen its competitive advantage and motivate more companies to reshore manufacturing.Originality/valueThis is one of only few papers from the Nordic countries and also one of few case studies examining reshoring in manufacturing companies.

scholarly journals Understanding the organizational critical activities of manufacturers in case studies

2018 ◽  
Vol 185 ◽  
pp. 00022
Author(s):  
Wei-Hsi Hung ◽  
Tsung-Yueh Lu ◽  
Mei-Fang Wu ◽  
Yun-Chen Lin
Keyword(s):  
Case Studies ◽  
Manufacturing Industry ◽  
Future Research ◽  
Manufacturing Companies ◽  
Case Study Approach ◽  
Senior Managers ◽  
Study Approach ◽  
Internal Operations ◽  
Continuous Activities

Manufacturers tend to carry out certain important and continuous activities with respect to internal operations which could contribute to their success. These activities are termed organization critical activities (OCAs). The main objective of this study is to elicit the OCAs in the manufacturing industry to understand what can cause them to be successful. Through the case study approach including the interviews with the senior managers from three manufacturing companies in Taiwan and a series of prioritizing activities, 12 OCAs have been identified. This study found that Taiwanese manufacturers placed more importance on the activities of quality and cost control while placed relatively less importance on the marketing related activities. More findings and future research suggestions are also provided.

scholarly journals INDUSTRI 4.0: TELAAH KLASIFIKASI ASPEK DAN ARAH PERKEMBANGAN RISET

2018 ◽  
Vol 13 (1) ◽  
pp. 17 ◽  
Author(s):  
Hoedi Prasetyo ◽  
Wahyudi Sutopo
Keyword(s):  
Literature Review ◽  
Research Methods ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Research Direction ◽  
Research Trend ◽  
Future Research ◽  
Upward Trend ◽  
Future Direction

AbstrakIstilah Industri 4.0 lahir dari ide tentang revolusi industri keempat. Keberadaannya menawarkan banyak potensi manfaat. Guna mewujudkan Industri 4.0, diperlukan keterlibatan akademisi dalam bentuk riset. Artikel ini bertujuan untuk menelaah aspek dan arah perkembangan riset terkait Industri 4.0. Pendekatan yang digunakan adalah studi terhadap beragam definisi dan model kerangka Industri 4.0 serta pemetaan dan analisis terhadap sejumlah publikasi. Beberapa publikasi bertema Industri 4.0 dipilah menurut metode penelitian, aspek kajian dan bidang industri. Hasil studi menunjukkan Industri 4.0 memiliki empat belas aspek. Ditinjau dari metode penelitian, sebagian besar riset dilakukan melalui metode deskriptif dan konseptual. Ditinjau dari aspeknya, aspek bisnis dan teknologi menjadi fokus riset para peneliti. Ditinjau dari bidang industri penerapannya, sebagian besar riset dilakukan di bidang manufaktur. Ditinjau dari jumlahnya, riset terkait Industri 4.0 mengalami tren kenaikan yang signifikan. Artikel ini diharapkan dapat memberi gambaran mengenai apa itu Industri 4.0, perkembangan dan potensi riset yang ada di dalamnya. AbstractIndustry 4.0: Study of Aspects Classification and Future Research Direction. The term Industrial 4.0 refers to the idea about fourth industrial revolution. In order to realize Industry 4.0, academic involvement is required in the form of research. This article aims to define the aspects and future direction of research related to Industry 4.0. Literature review of various definition and concept models of Industry 4.0. was conducted to acquire the aspects. Mapping and analysis of several publications were conducted to determine the future direction of research. Publications were sorted according to research methods, aspects and type of industry. The result shows that Industry 4.0 has fourteen aspects. Based on research methods, most of the research is done through descriptive and conceptual methods. Business and technology aspects become the focus of the researchers and most of the research is done in manufacturing industry. Based on quantities, Industrial 4.0 research has experienced a significant upward trend. This article is expected to illustrate the concept, future development and research trend of Industry 4.0.Keywords: Industry 4.0; Literature Review; Research Trend

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