Conversion From Traditional Manufacturing to Digital Manufacturing, an Industry 4.0 Application in Furniture Making

2020 ◽  
Author(s):  
Angran Xiao ◽  
Mason Chen ◽  
Gaffar Gailani ◽  
Andy Zhang
Keyword(s):  
Special Needs ◽  
Market Share ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
The Other ◽  
Digital Manufacturing ◽  
Work In Progress ◽  
Product Customization ◽  
Traditional Manufacturing ◽  
Medium Enterprises

Abstract The concept of Industry 4.0 was presented to upgrade the manufacturing systems of large enterprises or even countries. Although some implementation paradigms and frameworks for implementation have been developed, only a minute selection suit the special needs and characteristics of small to medium enterprises (SME’s). On the other hand, SME’s account for a significant market share of the economy, and are in great needs to modernize and diversity their manufacturing capabilities in order to remain competitive in today’s marketplace. In this paper, we present a framework for implementing Industry 4.0 in SME’s. As a work in progress, the product customization and manufacturing sections of the aforementioned framework are being implemented, which are being utilized by a local furniture maker for a custom order of wooden bookcases.

scholarly journals Industry 4.0: Challenges of Mechanical Engineering for Society and Industry

2021 ◽  
Vol 1 (1) ◽  
pp. 3-6
Author(s):  
Muji Setiyo ◽  
Tuessi Ari Purnomo ◽  
Dori Yuvenda ◽  
Muhammad Kunta Biddinika ◽  
Nor Azwadi Che Sidik ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Mechanical Engineering ◽  
Materials Science ◽  
The Other ◽  
Intelligent Sensors ◽  
Engineering Mathematics ◽  
Scientific Disciplines ◽  
Engineering Problems ◽  
Complex Engineering

Today, in the industry 4.0 era, the boundaries of scientific disciplines are blurred, everything seems to be interrelated and shows the ability to be combined. Intelligent sensors combined with Artificial Intelligence (AI) have demonstrated their ability to influence processes, design, and maintenance in manufacturing systems. Mechanical engineering tasked with solving complex engineering problems must be able to adapt to this transformation, especially in the use of digital and IT to combine the principles of physics and engineering mathematics with materials science to design, analyze, manufacture, and maintain mechanical systems. On the other hand, mechanical engineering must also contribute to a better future life. Therefore, one of the keys to consistently playing a role is to think about sustainability, in order to provide benefits for society and industry, in any industrial era.

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

Industry Specialization by Auditors

1999 ◽  
Vol 18 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Chris E. Hogan ◽  
Debra C. Jeter
Keyword(s):  
High Risk ◽  
Market Share ◽  
Scale Economies ◽  
The Other ◽  
Industry Specialization ◽  
Audit Market ◽  
Audit Firms ◽  
Regulated Industries ◽  
Concentration Levels ◽  
Over Time

Dramatic changes in recent years in the audit market suggest the timeliness of an investigation of trends in auditor concentration and an extension of prior research (e.g., Danos and Eichenseher 1982). In recent press, large audit firms have claimed that specialization is a goal of increasing importance. Peat Marwick, for example, has restructured along industry lines, claiming to be recruiting professionals for national teams of multidisciplinary experts organized to “focus on the same industry to serve clients optimally.” On the other hand, litigation concerns might prompt auditors to diversify their risks by diversifying their clientele. In this study, we examine trends in industry specialization from 1976 to 1993 and the industry factors which may affect specialization; whether market share increases are greater for audit firms classified as specialists; and whether the nation's largest audit firms have increased their market share in the industries which they have identified as their focus industries. We find evidence that concentration levels have increased over this period, consistent with the claims of the large audit firms. We find that auditor concentration levels are higher in regulated industries, in more concentrated industries and in industries experiencing rapid growth, but lower in industries with a high risk of litigation. Levels of concentration have increased over time in nonregulated industries providing evidence that scale economies or superior efficiencies of heavy-involvement auditors are not limited to regulated industries but extend to nonregulated industries as well. We also find that for the audit firms classified as market leaders at the beginning of the year, market share has increased over time, whereas market share has declined for firms with a smaller share at the beginning of the year. This suggests that there are returns to investing in specialization.

scholarly journals Open Source Control Device for Industry 4.0 Based on RAMI 4.0

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 869
Author(s):  
Pablo F. S. Melo ◽  
Eduardo P. Godoy ◽  
Paolo Ferrari ◽  
Emiliano Sisinni
Keyword(s):  
Open Source ◽  
Industry 4.0 ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Control Device ◽  
Source Control ◽  
Reference Architecture ◽  
Architecture Model ◽  
Complex Relationships

The technical innovation of the fourth industrial revolution (Industry 4.0—I4.0) is based on the following respective conditions: horizontal and vertical integration of manufacturing systems, decentralization of computing resources and continuous digital engineering throughout the product life cycle. The reference architecture model for Industry 4.0 (RAMI 4.0) is a common model for systematizing, structuring and mapping the complex relationships and functionalities required in I4.0 applications. Despite its adoption in I4.0 projects, RAMI 4.0 is an abstract model, not an implementation guide, which hinders its current adoption and full deployment. As a result, many papers have recently studied the interactions required among the elements distributed along the three axes of RAMI 4.0 to develop a solution compatible with the model. This paper investigates RAMI 4.0 and describes our proposal for the development of an open-source control device for I4.0 applications. The control device is one of the elements in the hierarchy-level axis of RAMI 4.0. Its main contribution is the integration of open-source solutions of hardware, software, communication and programming, covering the relationships among three layers of RAMI 4.0 (assets, integration and communication). The implementation of a proof of concept of the control device is discussed. Experiments in an I4.0 scenario were used to validate the operation of the control device and demonstrated its effectiveness and robustness without interruption, failure or communication problems during the experiments.

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

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.

scholarly journals An Entropy-Based Formulation for Assessing the Complexity Level of a Mass Customization Industry 4.0 Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
César Martínez-Olvera
Keyword(s):  
Mass Customization ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Complexity Measures ◽  
Event Simulation ◽  
Manufacturing Complexity ◽  
Original Contribution ◽  
Managerial Implications ◽  
Product Customization ◽  
System Operating

It has been stated that Industry 4.0’s goal is, among others, the sustainable success in a market characterized by exigent and informed consumers demanding personalized products and services, where the level of manufacturing complexity increases with level of product customization. Even though different manufacturing complexity measures have been developed, there seems to be a lack of a comprehensive metric that address both the mass customization variety-induced complexity, and the complexity derived from the adoption of the Industry 4.0 paradigm. The main original contribution of this paper is the development of an entropy-based (entropic) formulation to address this last issue. Its validity and usefulness is put to the test via a discrete-event simulation study of a mass customization production system operating within an Industry 4.0 context. Our findings show that the entropic formulation acts as a fairly good trend indicator of the system’s performance parameter increase/decrease, but not as an estimator of the final values. A discussion of the managerial implications of the obtained results is offered at the end of the paper.

scholarly journals Digital Manufacturing in SMEs based on the context of the Industry 4.0 framework – one approach

2021 ◽  
Vol 54 ◽  
pp. 52-57
Author(s):  
Vidosav Majstorovic ◽  
Goran Jankovic ◽  
Srdjan Zivkov ◽  
Slavenko Stojadinovic
Keyword(s):  
Industry 4.0 ◽  
Digital Manufacturing
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