scholarly journals Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System

2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Design Feature ◽  
Production Equipment ◽  
Smart Manufacturing ◽  
Process Data ◽  
Industrial Sectors ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Equipment Application ◽  
The Impact

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

Technological Developments

2021 ◽  
pp. 1464-1487
Author(s):  
Hande Mutlu Ozturk
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Industrial Sector ◽  
The Past ◽  
Industrial Sectors ◽  
Tourism Sector ◽  
Technological Developments ◽  
The Impact

Technological developments in recent years have been affecting the lives of people and societies more rapidly than in the past. Developments in the field of communication, robotics, transportation, etc. are called the 4th Industrial Revolution or Industry 4.0 in the industrial sector. Technological developments have created great changes in the services and industrial sectors. Industry 4.0 has also led to changes in the transformation of the tourism sector and is likely to occur in future processes. This chapter examines the impact of Industry 4.0 on the tourism sector.

scholarly journals A Systematic Review of Product Design for Space Instrument Innovation, Reliability, and Manufacturing

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 244
Author(s):  
Kai-Leung Yung ◽  
Yuk-Ming Tang ◽  
Wai-Hung Ip ◽  
Wei-Ting Kuo
Keyword(s):  
Product Design ◽  
Functional Performance ◽  
Smart Manufacturing ◽  
Main Research ◽  
Space Instruments ◽  
Review Study ◽  
Space Environments ◽  
Manufacturing Technologies ◽  
Resource Support ◽  
The Impact

The design and development of space instruments are considered to be distinct from that of other products. It is because the key considerations are vastly different from those that govern the use of products on planet earth. The service life of a space instrument, its use in extreme space environments, size, weight, cost, and the complexity of maintenance must all be considered. As a result, more innovative ideas and resource support are required to assist mankind in space exploration. This article reviews the impact of product design and innovation on the development of space instruments. Using a systematic literature search review and classification, we have identified over 129 papers and finally selected 48 major articles dealing with space instrument product innovation design. According to the studies, it is revealed that product design and functional performance is the main research focuses on the studied articles. The studies also highlighted various factors that affect space instrument manufacturing or fabrication, and that innovativeness is also the key in the design of space instruments. Lastly, the product design is important to affect the reliability of the space instrument. This review study provides important information and key considerations for the development of smart manufacturing technologies for space instruments in the future.

Wireless Cyber-Physical System Performance Evaluation Through a Graph Database Approach

2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Mohamed Kashef ◽  
Yongkang Liu ◽  
Karl Montgomery ◽  
Richard Candell
Keyword(s):  
Wireless Communications ◽  
Wireless Network ◽  
Network Traffic ◽  
Smart Manufacturing ◽  
Graph Database ◽  
Traffic Data ◽  
Physical Processes ◽  
Process Data ◽  
Work Cell ◽  
The Impact

Abstract Despite the huge efforts to deploy wireless communications technologies in smart manufacturing scenarios, some manufacturing sectors are still slow to massive adoption. This slowness of widespread adoption of wireless technologies in cyber-physical systems (CPSs) is partly due to not fully understanding the detailed impact of wireless deployment on the physical processes especially in the cases that require low latency and high reliability communications. In this article, we introduce an approach to integrate wireless network traffic data and physical processes data to evaluate the impact of wireless communications on the performance of a manufacturing factory work cell. The proposed approach is introduced through the discussion of an engineering use case. A testbed that emulates a robotic manufacturing factory work cell is constructed using two collaborative-grade robot arms, machine emulators, and wireless communication devices. All network traffic data are collected and physical process data, including the robots and machines states and various supervisory control commands, is also collected and synchronized with the network data. The data are then integrated where redundant data are removed and correlated activities are connected in a graph database. A data model is proposed, developed, and elaborated; the database is then populated with events from the testbed, and the resulting graph is presented. Query commands are then presented as a means to examine and analyze network performance and relationships within the components of the network. Moreover, we detail the way by which this approach is used to study the impact of wireless communications on the physical processes and illustrate the impact of various wireless network parameters on the performance of the emulated manufacturing work cell. This approach can be deployed as a building block for various descriptive and predictive wireless analysis tools for CPS.

The adoption of Industry 4.0 technologies in SMEs: results of an international study

2019 ◽  
Vol 58 (4) ◽  
pp. 625-643 ◽  
Author(s):  
Lara Agostini ◽  
Anna Nosella
Keyword(s):  
Industry 4.0 ◽  
Organizational Context ◽  
International Study ◽  
Positive Association ◽  
Management Support ◽  
Broad Perspective ◽  
Content Type ◽  
Manufacturing Technologies ◽  
High Level ◽  
The Impact

Purpose The purpose of this paper is to investigate whether the financial resources invested in advanced manufacturing technologies (AMTs) and social capital (SC), in terms of the set of internal and external relationships a firm holds, have a positive effect on the adoption of Industry 4.0 (I4.0) technologies. Furthermore, it tests whether the organizational context strengthens these relationships. Design/methodology/approach The authors used regression models to analyze data collected through an international survey carried out within the scope of a European project involving six Central European regions. Findings Results show that small- and medium-sized enterprises (SMEs) having stronger internal and external SC have a higher propensity to adopt I4.0 technologies, and both management support and absorptive capacity (AC) strengthen these relationships, whereas investments in AMTs within the manufacturing area and internal SC have a positive association with the intensity of I4.0 adoption. However, in presence of a high level of management support and AC, the relationship between external SC and I4.0 adoption becomes positive and significant. Management support also moderates the impact that investments in AMTs in the manufacturing area and internal SC have on the intensity of adoption of I4.0 technologies. Originality/value This paper is one of the first to investigate the context of SMEs that, having fewer resources, face some difficulties in exploiting the potential of I4.0 revolution. Moreover, it adopts a broad perspective on the factors that facilitate the adoption of I4.0.

scholarly journals Operating Digital Manufacturing in Industry 4.0: the role of advanced manufacturing technologies

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 174-179
Author(s):  
Elias Ribeiro da Silva ◽  
Ana Carolina Shinohara ◽  
Christian Petersson Nielsen ◽  
Edson Pinheiro de Lima ◽  
Jannis Angelis
Keyword(s):  
Industry 4.0 ◽  
Digital Manufacturing ◽  
Advanced Manufacturing ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

scholarly journals Influence of PLA Filament Conditions on Characteristics of FDM Parts

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1322 ◽  
Author(s):  
Ana Valerga ◽  
Moisés Batista ◽  
Jorge Salguero ◽  
Frank Girot
Keyword(s):  
Industry 4.0 ◽  
Low Cost ◽  
Poly Lactic Acid ◽  
Fused Deposition Modelling ◽  
Fused Deposition ◽  
Environmental Humidity ◽  
Manufacturing Technologies ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

Additive manufacturing technologies play an important role in Industry 4.0. One of the most prevalent processes is fused deposition modelling (FDM) due to its versatility and low cost. However, there is still a lack of standardization of materials and procedures within this technology. This work aims to study the relationship of certain operating parameters and the conditions of poly(lactic acid) (PLA) polymer with the results of the manufactured parts in dimensional terms, surface quality, and mechanical strength. In this way, the impact of some material characteristics is analyzed, such as the pigmentation of the material and the environmental humidity where it has been stored. The manufacturing parameter that relates to these properties has been the extrusion temperature since it is the most influential in this technology. The results are quite affected especially by humidity, being a parameter little studied in the literature.

scholarly journals Six-Gear Roadmap Towards the Smart Factory

2021 ◽  
Vol 11 (8) ◽  
pp. 3568
Author(s):  
Amr T. Sufian ◽  
Badr M. Abdullah ◽  
Muhammad Ateeq ◽  
Roderick Wah ◽  
David Clements
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Conceptual Approach ◽  
Industrial Manufacturing ◽  
Key Enabling Technologies ◽  
Manufacturing Technologies

The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.

scholarly journals Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaodie Pu ◽  
Meng Chen ◽  
Zhao Cai ◽  
Alain Yee-Loong Chong ◽  
Kim Hua Tan
Keyword(s):  
Financial Performance ◽  
Organizational Performance ◽  
Operations Management ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
Emergency Situations ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
The Impact

PurposeThis study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and non-emergency situations.Design/methodology/approachBoth survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.FindingsOur results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.Research limitations/implicationsThrough simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit.Originality/valueThis study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations.

scholarly journals EVOLUTIONS OF GROUP MANAGEMENT DEVELOPMENT OF MOBILE ROBOTIC PLATFORMS IN WAREHOUSING 4.0.

2021 ◽  
pp. 57-64
Author(s):  
Igor Nevliudov ◽  
Vladyslav Yevsieiev ◽  
Oleksandr Klymenko ◽  
Nataliia Demska ◽  
Maksym Vzhesnievskyi
Keyword(s):  
Industry 4.0 ◽  
Lean Production ◽  
High Density ◽  
Management Systems ◽  
Smart Manufacturing ◽  
Warehouse Management ◽  
Group Management ◽  
Loading And Unloading ◽  
Robotic Platforms ◽  
The Impact

The subject of this research is the technology of management of mobile robot groups in the concept of Industry 4.0 and its composition. The purpose of this article is to find ways to implement an effective strategy for building and managing mobile robotic platforms in Warehousing, as a key tool of Lean Production. To achieve this goal, it is necessary to solve the following tasks: to analyze the management of supply chains in Smart Manufacturing, within Industry 4.0 and its impact on achieving the goals of Lean Production; to study the evolution of technologies used in Warehousing in the dynamics of the Industrial Revolution; to analyze the evolution of Warehouse Management Systems (WMS) as one of the most important components on the basis of which the requirements for automation of Warehousing automation in Smart Manufacturing with group management of mobile robotic platforms are implemented and achieved; to compare the impact of the technologies used by Warehousing 4.0 and Warehouse Management Systems on the key indicators of Lean Production. Results: One of the promising ways to achieve the effectiveness of the implementation of Lean Production tools in WMS systems is the use of Collaborative Robot System technology, which makes it possible to ensure a high density of product storage in Warehousing. However, modern mobile robotic platforms have their limitations both in the methods of loading and unloading products, and in the design. Therefore, the authors see the task in improving the design of mobile robotic platforms, which will develop a new intelligent group method of loading and unloading products, increasing the storage density for a variety of goods. Conclusions: The paper compares the impact of Warehousing 4.0 and Warehouse Management Systems on key Lean Production tools, which shows how the introduction of new group management technologies for robotic platforms in Warehousing 4.0 and Warehouse Management Systems (WMS) affects the effectiveness of Lean Production tools such as Heijunka, Just-in-time, 5S. This suggests that the introduction of new models and methods of managing complex warehouses with high density and chaotic storage of products, through the use of mobile robotic autonomous systems, will significantly optimize the process of supply chain management in Smart Manufacturing.

Integrating SMEs Through Cloud

2019 ◽  
pp. 143-164 ◽  
Author(s):  
Brintha N. C. ◽  
Winowlin Jappes J. T. ◽  
Jacob Sukumaran
Keyword(s):  
Resource Selection ◽  
Industrial Revolution ◽  
New Technologies ◽  
Big Data Analytics ◽  
Smart Manufacturing ◽  
Grey Wolf ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Sectors ◽  
Manufacturing Technologies ◽  
Cloud Technologies

In the fourth industrial revolution, one of the major driving force is cloud computing which helps in integration of cloud concepts in manufacturing sectors. Most of the high-end factories have started to adopt industrial automation by incorporating smart manufacturing technologies by incorporating cloud technologies, artificial intelligence, internet of things, big data analytics, cyber physical systems, and several other advanced manufacturing technologies. But, most of the SMEs across countries have not been standardized using such new technologies. This chapter discusses on a scheduling model using grey wolf optimization (GWO) for integrating all SMEs on to Cloud, such that proper decision support can be made for effective resource selection and job completion can be provided to the end users dynamically without any flaws.

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