Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes

2019 ◽  
pp. 135-159 ◽  
Author(s):  
J. Roberto Reyes García ◽  
Alberto Martinetti ◽  
Juan M. Jauregui Becker ◽  
Sarbjeet Singh ◽  
Leo A. M. van Dongen
Keyword(s):  
3D Printing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Monitoring Systems ◽  
Manufacturing Processes ◽  
Machine Reliability ◽  
Condition Monitoring Systems ◽  
New Industry ◽  
Reliability And Availability

Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry.

Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes

2021 ◽  
pp. 1219-1243
Author(s):  
J. Roberto Reyes García ◽  
Alberto Martinetti ◽  
Juan M. Jauregui Becker ◽  
Sarbjeet Singh ◽  
Leo A. M. van Dongen
Keyword(s):  
3D Printing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Monitoring Systems ◽  
Manufacturing Processes ◽  
Machine Reliability ◽  
Condition Monitoring Systems ◽  
New Industry ◽  
Reliability And Availability

Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry.

scholarly journals Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Research Community ◽  
Manufacturing Processes ◽  
Special Issue ◽  
Industrial Internet Of Things ◽  
Visual Computing ◽  
Industrial Internet ◽  
Industrial Iot ◽  
New Industry

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]

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 Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)

Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2133
Author(s):  
Eva María Rubio ◽  
Ana María Camacho
Keyword(s):  
Applied Sciences ◽  
Additive Manufacturing ◽  
3D Printing ◽  
Manufacturing Industry ◽  
Green Manufacturing ◽  
Manufacturing Processes ◽  
New Materials ◽  
Special Issue ◽  
Engineering Society ◽  
Manufacturing Engineering

The Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) has been launched as a joint issue of the journals “Materials” and “Applied Sciences”. The 29 contributions published in this Special Issue of Materials present cutting-edge advances in the field of manufacturing engineering focusing on additive manufacturing and 3D printing, advances and innovations in manufacturing processes, sustainable and green manufacturing, manufacturing of new materials, metrology and quality in manufacturing, industry 4.0, design, modeling, and simulation in manufacturing engineering and manufacturing engineering and society. Among them, these contributions highlight that the topic “additive manufacturing and 3D printing” has collected a large number of contributions in this journal because its huge potential has attracted the attention of numerous researchers over the last years.

The Application of Force and Acoustic Emission Sensors for Detecting Tool Damage in Turning Processes

2009 ◽  
Vol 419-420 ◽  
pp. 381-384 ◽  
Author(s):  
Amin Al-Habaibeh ◽  
A. Al-Azmi ◽  
N. Radwan ◽  
Yang Song
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Condition Monitoring ◽  
Feature Fusion ◽  
Monitoring Systems ◽  
Work Piece ◽  
Manufacturing Processes ◽  
Fusion Model ◽  
Turning Operations ◽  
Condition Monitoring Systems

Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing an essential means to reduce cost, increase productivity, improve quality and prevent damage to the machine or work-piece. Turning operations are considered one of the most common manufacturing processes in industry. Despite recent development and intensive engineering research, the development of tool wear monitoring systems in turning is still on-going challenge. In this paper, force and acoustic emission signals are used for monitoring tool wear in a feature fusion model. The results prove that the developed system can be used to enhance the design of condition monitoring systems for turning operations to predict tool wear or damage.

scholarly journals Supply Chain 4.0 challenges

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Legal Challenges ◽  
New Industry

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.

scholarly journals Fostering innovation through Industry 4.0 technologies in emerging countries: An explorative multiple case study of Indonesian Internet-of-Things (IoT)-based start-ups

2021 ◽  
Vol 3 (2) ◽  
pp. 71-85
Author(s):  
Tribowo Rachmat Fauzan ◽  
Wawan Dhewanto
Keyword(s):  
Internet Of Things ◽  
Case Studies ◽  
Small Businesses ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Human Life ◽  
Exploratory Research ◽  
Innovation Ecosystem ◽  
Global Business ◽  
Start Ups

The Industry 4.0 phenomenon is truly remarkable in the industry’s redesign and the transformation of different facets of human life. This trend has also been put on several nations’ national agenda, both emerging and developed, to improve competition in the global business arena. For Indonesia, this phenomenon offers a chance to reshape Indonesia’s manufacturing industry and become another way to boost Indonesia’s goal of being the 10th world’s largest economy. One of the technologies that play a significant role in this phenomenon is Internet-of-Things (IoT) that could boost small businesses’ performance through developing its innovation ecosystem. This research seeks to propose continuous innovation pathways through case studies of functional IoT in Indonesian start-ups. To this end, we use an exploratory research methodology and in-depth interviews to identify IoT and case studies’ fundamental innovation capabilities to explore the process of connecting these attributes to innovation. It results in five factors as main findings to influence the innovation performance: financial resources, government role, perception for supporting small businesses, hybrid research and development, and business model innovation. We also derive the implication of IoT for businesses and the government to support their innovation.

scholarly journals The Internet of Things in manufacturing innovation processes: development and application of a conceptual framework

2016 ◽  
Vol 22 (2) ◽  
Author(s):  
Andrea Caputo ◽  
Giacomo Marzi ◽  
Massimiliano Matteo Pellegrini
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Internet Of Things ◽  
Conceptual Framework ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Incremental Innovation ◽  
The Internet ◽  
The Internet Of Things ◽  
Practical Implications

Purpose This study aims to contribute and enrich the scientific debate about the phenomenon called the Internet of Things (IoT) from a managerial perspective. Through the lenses of management and innovation literature, we investigate the main facts that characterize the IoT and developed a conceptual framework to interpret its evolution. The framework has then been applied to the case of a three-dimensional (3D) printing technology used for additive manufacturing. Design/methodology/approach A theoretical analysis of the phenomenon of the IoT and its main elements has been performed to construct a conceptual framework in a managerial fashion able to describe the evolutionary impacts of the phenomenon on the manufacturing industry. Findings Through consequential steps, namely radical, modular, architectural and incremental innovation, and by adopting and integrating the Henderson and Clark model, we explain the cornerstones of the evolutionary impact of the IoT on the manufacturing industry. Finally, we apply our framework to the case of additive manufacturing and 3D printing. Practical implications Our framework’s practical value is related to its employability in interpreting and possibly forecasting the evolution of manufacturing industries thanks to the advent of the IoT, allowing managers to capture value arising from technological changes. Originality/value This study offers a clear and simple model to interpret the impacts of the IoT. Such a goal has been obtained by systematizing the disconnected research on the topic and arranging such contributions into solid paradigms of the managerial literature.

scholarly journals KAJIAN INDUSTRI 4.0 UNTUK PENERAPANNYA DI INDONESIA

2019 ◽  
Vol 3 (1) ◽  
pp. 01-13
Author(s):  
Suharman Hadi ◽  
Hari Wisnu Murti
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
3D Printing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Wearable Technology ◽  
Digital Information ◽  
Supply Networks ◽  
The Republic

Abstract : The implementation of concept Industry 4.0 in Indonesia has been studied in this paper. The study was motivated after the launcing of Making Indonesia 4.0 by the President of the Republic of Indonesia in April 2018. The study aims to study the concept of IR 4.0 for its implementation in Indonesia. Methods include collecting various references with industry 4.0 keywords, applying information technology, pharmaceutical industry and manufacturing industries. The results of the study concluded that industry 4.0 was an era that empowered the role of manufacturing digitalization and supply networks that involved the integration of digital information from various sources and locations to drive manufacturing and distribution physically. It is found that, There are five main technologies for IR 4.0, namely Artificial Intelligence (AI), Internet of Things (IoT), Wearable Technology (WT), Advanced Robotic (AR) and 3D Printing (3DP). Each component of technology can be used in various industries and manufacturing. The implementation of IR 4.0 would likely provide more benefits and advantages such as increase effieciency and effectivty in manufacturing industries.Keywords: Concept of IR 4.0, application of information technology, manufacturing industry.Abstrak : Telah dilakukan kajian yang mempelajari konsep Industri 4.0 (IR.4.0)untuk penerapannya di Indonesia.  Kajian dilatar belakangi oleh dicanangkannya making Industri 4.0 oleh Presiden RI pada bulan April 2018.  Kajian bertujuan mempelajari konsep IR 4.0 untuk implementasinya di Indonesia.  Metode meliputi pengumpulan berbagai referensi dengan kata kunci industry 4.0, penerapan teknologi informasi, industru farmasi dan industry manufaktur.  Selanjutnya referensi tersebut dianalisis dan diskripsi sehingga menghasilkan suatu ringkasan.  Hasil kajian menyimpulkan bahwa industry 4.0 merupakan era yang memberdayakan peran digitalisasi manufaktur dan jaringan suplai yang melibatkan integrasi informasi digital dari berbagai sumber dan lokasi untuk menggerakkan manufaktur dan distribusi secara fisik. Terdapat lima teknologi utama IR 4.0, yaitu artificial Intelligence (AI), Internet of Things (IoT), Wearable Technology (WT), Advanced Robotic (AR) dan 3D Printing (3DP).  Masing-masing komponen teknologi dapat dimanfaatkan pada berbagai industry dan manufaktur.  Pemanfaatan IR 4.0 diyakini akan memberikan manfaat dan keuntunganyang lebih banyak (misalnya kinerja menjadi lebih efektif dan lebih efisien).Kata kunci :  Konsep IR 4.0, penerapan teknologi informasi, industry manufaktur.

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