scholarly journals Proposal of a Tool for Determining Sub- and Main Dimension Indicators in Assessing Internal Logistics Readiness for Industry 4.0 within a Company

2021 ◽  
Vol 11 (24) ◽  
pp. 11817
Author(s):  
Peter Poor ◽  
Michal Zoubek ◽  
Michal Simon
Keyword(s):  
Industry 4.0 ◽  
Production Equipment ◽  
Enterprise Information ◽  
Global Networks ◽  
Fully Integrated ◽  
Enterprise Information Systems ◽  
Production Environments ◽  
Main Dimension ◽  
A Company ◽  
Smart Factories

Key elements of Industry 4.0 are the digitization of products and production, enterprise information systems, robotic workplaces, communication infrastructure, and of course, employees. Industry 4.0 transforms production from stand-alone automated units to fully integrated automated and continuously optimized production environments. According to the prediction of Industry 4.0, new global networks will be created based on the interconnection of production equipment into CPS systems. These systems will be the basic building block of the so-called “smart factories”, and will be able to exchange information autonomously, trigger the necessary actions in response to current conditions and mutually independent inspections. The aim of this article is to describe the issue of readiness models for the Industry 4.0 concept, which are commonly used as tools for conceptualizing and measuring the maturity of an organization or process related to a specific target state. Characteristic for the models is their use because, on this basis, it is possible to identify the current readiness for the concept of Industry 4.0 comprehensively in the whole company or in various sub-areas.

Cloud-Based Manufacturing (CBM) Interoperability in Industry 4.0

2019 ◽  
pp. 171-198
Author(s):  
István Mezgár ◽  
Gianfranco Pedone
Keyword(s):  
Cloud Computing ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Business Models ◽  
Methodological Approach ◽  
Cloud Manufacturing ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Cloud Models ◽  
Manufacturing Environments

Cloud computing (CC) is generating new computing and business models because of its service-based nature, which enables collaboration and data exchange at higher level, more flexibility with better efficiency and parallel decreasing costs. Manufacturing environments can also benefit from cloud technology and follow fast changes in market demands. In these new scenarios, interoperability has vital importance in the operation and in the interaction among industrial realizations of cyber-physical systems. The chapter introduces the different cloud models and the interoperability issues concerning connected enterprise information systems. Various standardization frameworks have been developed for homogeneous integration of IT models in industrial environments: the IIRA and the RAMI 4.0 are the best-known ones. The chapter introduces both architectures; their methodological approach to industrial integration efforts and how integration can be realized through the OPC Unified Architecture. Finally, the authors propose a basic conceptual model for cloud manufacturing.

Analisis dan Rekayasa Ulang Proses Bisnis Sistem Pembelian pada PT XYZ

2014 ◽  
Vol 5 (1) ◽  
pp. 27-32
Author(s):  
Agus Sulaiman
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Business Process Reengineering ◽  
Process Reengineering ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Integrated Information System ◽  
Index Terms ◽  
A Company ◽  
Modern Era

In this modern era, business processes become one of the important aspects for a company to stay ahead in the competition to its competitors. A company that has an optimal business processes and supported by an integrated information system will win the competition. This study aims to optimize the purchasing business process of Company XYZ using the concept of Business Process Re-engineering (BPR) approach as the basis for designing the next module of enterprise information systems. From this study, we found that there are still business processes that need to be revised and improved to integrate the flow of data and information from one department to another department. Business process that needs to be revised is an overseas purchase; Business processes that need to be improved are Overdelivery and Under-delivery Tolerance, PO Free Goods, PO Subcontracting, and Purchasing Planning consisting of Weekly Projected Sales, Weekly Order Projection & Daily Order Projection. Index Terms - Business Process Reengineering, Business Process Purchasing.

Cloud-Based Manufacturing (CBM) Interoperability in Industry 4.0

2021 ◽  
pp. 540-567
Author(s):  
István Mezgár ◽  
Gianfranco Pedone
Keyword(s):  
Cloud Computing ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Business Models ◽  
Methodological Approach ◽  
Cloud Manufacturing ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Cloud Models ◽  
Manufacturing Environments

Cloud computing (CC) is generating new computing and business models because of its service-based nature, which enables collaboration and data exchange at higher level, more flexibility with better efficiency and parallel decreasing costs. Manufacturing environments can also benefit from cloud technology and follow fast changes in market demands. In these new scenarios, interoperability has vital importance in the operation and in the interaction among industrial realizations of cyber-physical systems. The chapter introduces the different cloud models and the interoperability issues concerning connected enterprise information systems. Various standardization frameworks have been developed for homogeneous integration of IT models in industrial environments: the IIRA and the RAMI 4.0 are the best-known ones. The chapter introduces both architectures; their methodological approach to industrial integration efforts and how integration can be realized through the OPC Unified Architecture. Finally, the authors propose a basic conceptual model for cloud manufacturing.

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.

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