Industry 4.0 - Digital Twin Applied to Direct Digital Manufacturing

Marinha Grande is a city in Leiria’s district, Portugal. Marinha Grande is known as the moulding city, influenced by the glass, plastic and rapid manufacturing industry. Its history comes from the 18th century with the first glass factory. In order to improve technological development in the local industry, Centre for rapid and sustainable product development (CDRsp) was established in 2007.With that historical know-how and data-based moulding manufacturing, this work goal is to link that data with today’s technology, implementing the Industry 4.0. That information would be stored in a Cloud-Based Design and Manufacturing (CBDM) as well as the real-time operational data. Accessing to that cloud, the design and production engineers can work together to digitally create a product without having to stop the machinery.To implement these concepts, this paper suggests a Digital Twin (DT) to take advantage of the historical information allied to the existent industrial machinery. It suggests a digital twin of a robotic arm with an additive or hybrid manufacturing tool, printing big parts (e.g. garden benches or urban furniture) with reused materials such as tire, cork, wood or stone pow loads.

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Digital Twin for Manufacturing Equipment in Industry 4.0

10.3233/atde210062 ◽

2021 ◽

Author(s):

Tomás Moreno ◽

António Almeida ◽

Filipe Ferreira ◽

Narciso Caldas ◽

César Toscano ◽

...

Keyword(s):

Industry 4.0 ◽

Manufacturing Industry ◽

Business Models ◽

Manufacturing Equipment ◽

Industrial Data ◽

Digital Twin ◽

Industrial Companies ◽

Manufacturing Company ◽

International Data ◽

Eu Project

The manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin (DT) concept and its importance on the industrial companies’ business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces (IDS) reference model’s application to overcome these limitations. Following a pilot study with a Portuguese machine manufacturing company, this paper will demonstrate the development of a cutting and bending machines DT, leveraged on an IDS infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new B2B marketplace from the EU project Market 4.0.

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A Conceptual Framework for a Sustainable Product Development Collaboratory to Support Integrated Sustainable Design and Manufacturing

Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference ◽

10.1115/detc2011-48922 ◽

2011 ◽

Cited By ~ 2

Author(s):

Kyoung-Yun Kim ◽

Karl R. Haapala ◽

Gu¨l E. Okudan Kremer ◽

Ekrem Alper Murat ◽

Ratna B. Chinnam ◽

...

Keyword(s):

Supply Chain ◽

Product Development ◽

Environmental Impacts ◽

Architectural Design ◽

Sustainable Design ◽

Research Effort ◽

Design Environment ◽

Design And Manufacturing ◽

Sustainable Product Development ◽

Sustainable Product

This paper presents a research effort that is underway to integrate product, manufacturing process, and supply chain models to optimize product design variants in terms of costs and environmental impacts. Integrated sustainable design and manufacturing requires multidisciplinary knowledge from various industrial domains to design and manufacture environmentally-responsible products. Sustainable design should consider life cycle costs and environmental impacts, including those related to materials and energy requirements during the manufacturing, use, and end-of-life phases of a product’s life. This paper discusses important technological requirements in product architecture and integrated optimization to realize integrated sustainable design and manufacturing. Finally, this paper introduces a scalable design environment, called the Sustainable Product Development Collaboratory, which can convey sustainability principles in the context of product architectural design, manufacturing, assembly, and supply chain decisions to designers. Potential benefits of this platform are also discussed.

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TRENDS OF INNOVATIVE DEVELOPMENT OF PROCESSING INDUSTRIES

Izvestiya of Samara Scientific Center of the Russian Academy of Sciences ◽

10.37313/1990-5378-2021-23-4-51-56 ◽

2021 ◽

Vol 23 (4) ◽

pp. 51-56

Author(s):

A.I. Shinkevich ◽

◽

A.A. Lubninа ◽

I.A. Raiskiy ◽

◽

...

Keyword(s):

Cluster Analysis ◽

Industry 4.0 ◽

Information Technologies ◽

Manufacturing Industry ◽

Technology Development ◽

Technological Development ◽

State Level ◽

Innovative Development ◽

Industrial Enterprises ◽

Smart Factories

The emergence of innovative technologies in industry has made a revolution that has contributed to a change in the production and logistics infrastructure, the structure of auxiliary and service subsystems. At the same time, innovative and technological development takes place within the framework of modern trends and concepts, such as Industry 4.0 and digitalization. The important thing here is the creation of smart industries that form their own innovation infrastructure, research program and technology development. Smart factories will integrate the entire supply chain into a single information system, which will be managed using intelligent information technologies. In this connection, it is necessary to assess the level of innovative development of industries within the framework of the Industry 4.0 concept, which includes indicators of innovative activity of enterprises, development and implementation of production technologies, investments in modernization and the purchase of new equipment. The purpose of the article is to identify trends and predict the innovative and technological development of manufacturing enterprises. Achievement of this goal presupposes the solution of the following tasks: study of modern domestic and foreign experience in the innovative development of industrial enterprises; diagnostics of indicators of innovative and technological development by industry; grouping industries by level of development using cluster analysis methods; forecasting trends in the development of manufacturing industries for the future. The article uses methods of descriptive statistics, applied methods of cluster analysis and forecasting methods. The infrastructure for innovative, smart factories and industries is yet to be created. The potential and opportunities for their creation are currently different for each type of production activity. Assessment of the level of innovative development for various types of manufacturing industry can become an effective tool for making management decisions at the state level.

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The digital twin in Industry 4.0: A wide‐angle perspective

Quality and Reliability Engineering International ◽

10.1002/qre.2948 ◽

2021 ◽

Author(s):

Ron S. Kenett ◽

Jacob Bortman

Keyword(s):

Industry 4.0 ◽

Wide Angle ◽

Digital Twin

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Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers

Open Engineering ◽

10.1515/eng-2020-0040 ◽

2020 ◽

Vol 10 (1) ◽

pp. 377-385 ◽

Cited By ~ 1

Author(s):

Antti Liljaniemi ◽

Heikki Paavilainen

Keyword(s):

Engineering Education ◽

Industry 4.0 ◽

Digital Technologies ◽

Digital Twin ◽

New Knowledge

AbstractDigital Twin (DT) technology is an essential technology related to the Industry 4.0. In engineering education, it is important that the curricula are kept up-to-date. By adopting new digital technologies, such as DT, we can provide new knowledge for students, teachers, and companies. The main aim of this research was to create a course concept to research benefits and barriers of DT technology in engineering education. The research confirmed earlier findings concerning digitalization in engineering education. DT technology can increase motivation for studying and improve learning when applied correctly.

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Robot Digital Twin towards Industry 4.0

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2815 ◽

2020 ◽

Vol 53 (2) ◽

pp. 10867-10872

Author(s):

Luige Vlădăreanu ◽

Alexandru I. Gal ◽

Octavian D. Melinte ◽

Victor Vlădăreanu ◽

Mihaiela Iliescu ◽

...

Keyword(s):

Industry 4.0 ◽

Digital Twin

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Application of Refined Kano’s Model to Shoe Production and Consumer Satisfaction Assessment

Sustainability ◽

10.3390/su13052484 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2484

Author(s):

Chi-Hung Lo

Keyword(s):

Sustainable Development ◽

Product Development ◽

Consumer Satisfaction ◽

Value Added ◽

Development Plan ◽

Development Model ◽

Product Attributes ◽

Kano Model ◽

Sustainable Product Development ◽

Sustainable Product

Many industries are labor-intensive and energy- and resource-consuming. A sustainable development plan is necessary for the industries as industrial structures have been changing recently. Taiwan’s shoe industry also has experienced such changes and requires a sustainable product development plan for continuous development. Therefore, this study aims to propose a new method by introducing a model of sustainable product development to facilitate the sustainable development of the industry. By taking air-cushioned casual shoe production as an example, this study suggested the refined Kano quality model for exploring the product attributes that improved the customers’ satisfaction. The refined Kano model that was established with interviews and questionnaire surveys was effective to define the product attributes that contributed to satisfying the customers and understanding their perception of product attributes. In the air-cushioned casual shoe production, the model found function, design, innovation, marketing, and service to be important for manufacturers to develop products with limited. It also suggested the priority be put on the attributes of high value-added quality, key quality, and potential quality. The model helped manufacturers decide which product attributes they need to invest in and develop. The relation of product attributes and consumer satisfaction for a sustainable product development model was also found by using the refined Kano model. The result of this study is expected to apply to various industries for establishing an appropriate sustainable product development model.

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Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

Applied Sciences ◽

10.3390/app11073186 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3186

Author(s):

Radhya Sahal ◽

Saeed H. Alsamhi ◽

John G. Breslin ◽

Kenneth N. Brown ◽

Muhammad Intizar Ali

Keyword(s):

Industry 4.0 ◽

Manufacturing Systems ◽

Interaction Mechanism ◽

Semantic Knowledge ◽

Smart Manufacturing ◽

Data Detection ◽

Workflow Model ◽

Digital Twins ◽

Potential Failure ◽

Operational Data

Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.

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Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0

Electronics ◽

10.3390/electronics10050628 ◽

2021 ◽

Vol 10 (5) ◽

pp. 628

Author(s):

Michail J. Beliatis ◽

Kasper Jensen ◽

Lars Ellegaard ◽

Annabeth Aagaard ◽

Mirko Presser

Keyword(s):

Industry 4.0 ◽

Manufacturing Industry ◽

Careful Consideration ◽

Added Value ◽

Shop Floor ◽

Circuit Boards ◽

Next Generation ◽

Road Map ◽

Industrial Iot ◽

Production Cycles

This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level.

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