scholarly journals Gearing Up Education Towards Industry 4.0

2018 ◽  
Vol 17 (2) ◽  
pp. 7305-7311 ◽  
Author(s):  
Dr. Krishnan Umachandran ◽  
Igor Jurcic ◽  
Debra Ferdinand-James ◽  
Mohamed Mohamed Tolba Said ◽  
Adnan Abd Rashid
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Management ◽  
Physical World ◽  
Learning By Doing ◽  
Considerable Change ◽  
Material Transfer ◽  
Student Centered ◽  
Student Centered Learning

Industry has changed creatively with manufacturing systems and technological applications supplementing in the work preparation, reporting variants, methods and resources for effective production management by constant improvements and usage has matured it way to Industry 4.0. Industry has undergone various revolutions up to now, and through cyber-physical systems would communicate, collaborate in real time of the process and product value stream. Technology upgrades will bring optimization in various resource utilization and focus on satisfying customers even over their ever increasingly demand. The gadgetry conveniences would bring the wearable’s and embedded handle large databases for dynamic mining and interpretations obsoleting the necessity of strain in carrying laptops or pads.  Innovation would be successful as it facilitates quick product developed self-customized for use at the shortest development time. Student-centered learning, learning consequences will have lifelong erudition where educational institutions will develop robust integrated systems and infrastructure to facilitate learning by doing rather than by the conventional learning. New age of Industry 4.0 will bring in a considerable change in physical world as in the virtual facilitation enabled by digital connect shrinking the distances, removing differences, and conducting real time transfer knowledge and material transfer globally. Being technologically prepared is the need of the time then to wait for the opportunity to push the educational system to change, where the time loss would handicap the economy and younger generations to be forced to compete even with perceived incapable and smaller frugalities.

TECHNOLOGY MAJORS’ METHODOLOGY EDUCATION: COMPARING APPROACHES FROM TWO COURSES

2021 ◽  
Author(s):  
Antti Rissanen ◽  
◽  
Kalle Saastamoinen ◽  
Keyword(s):  
Student Evaluation ◽  
Learning By Doing ◽  
National Defense ◽  
Military Technology ◽  
Student Centered ◽  
Student Centered Learning ◽  
Technology Students ◽  
Technical Students ◽  
Master Level ◽  
The University

The National Defense University (NDU) trains officers to develop their academic and professional skills. To accomplish this, the university offers two mandatory courses on methodological training for military technology students for master level education. The first course was theoretically oriented, and the second course was practically oriented. These both master-level methodology courses emphasize practice oriented mathematical skills, which officers use in their operative decision-making and statistical analysis. This study focuses on student-centered learning methodologies linked to teachers’ observations from current and previous course implementations. Results in this study described the outcome from the first run of the revised curriculum. We collected data from students’ course reports and the university’s standard student evaluation of teaching (SET). According to the SET, the course 2 which was practically oriented course, where groups worked on more significant projects gained higher value among students. In conclusion, we recommend that teachers continue using student-centered learning methodologies to technical students as much as possible. Theoretically underscored courses should also contain more practical examples. Keywords: distance education, flipped learning, learning by doing, research methodology, student-centered learning

Smart Factory of Industry 4.0: Connection Infrastructure, Data Acquisition, Data Processing, and Applications

2019 ◽  
Author(s):  
Zhao Zhiqiang ◽  
Chua Wei Quan ◽  
Ding Xiaoming ◽  
Prabhu Vinayak Ashok
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Real Time ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Discrete Systems ◽  
Smart Factory ◽  
Hierarchical Architecture ◽  
Support Functions ◽  
Control Functions

Abstract Smart factory adopts cyber-physical technologies integrating independent discrete systems into a context-sensitive manufacturing environment to optimize manufacturing processes using decentralized information and real-time communication. This paper presents our work in the realization of a smart factory, which comprises of a four-layer hierarchical architecture, i.e. connection infrastructure, data acquisition, data processing and smart applications. In the connection infrastructure layer, all shopfloor machines are connected through diverse protocols, IoT sensors, PLC interfaces and DNC connectors. A centralized IoT gateway supports such a scalable and adaptable connection and ensures a reliable communication among all heterogeneous manufacturing systems. In the data acquisition layer, the real-time machine and job data are acquired from shopfloor systems. Machine data indicates machines’ working condition and job data reveals the production information. The data processing layer comprises of three modules, i.e. shopfloor monitoring, data visualization and data analytics, which monitor and visualize shopfloor activities and analyze the semantics of various data using AI-based TPM engines providing the scientific indicators for next-step decisions. The smart application layer provides with several decision-making and remote control functions for shopfloor productivity and efficiency, such as predictive maintenance, shopfloor management, machine & job optimization and digital twin. The smart factory system has been implemented in the manufacturing shopfloor at Nanyang Polytechnic. The results and validation show that the system can simultaneously collect and analyze the manufacturing data from shopfloor systems, and further communicate with and control the shopfloor systems with decision-support functions. The overall shopfloor efficiency and flexibility can be significantly improved towards a smart factory of Industry 4.0.

Self-Organizing Manufacturing Systems in Industry 4.0

2021 ◽  
pp. 346-363
Author(s):  
Blaž Rodič
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Simulation Modelling ◽  
Physical World ◽  
Self Organization ◽  
Digital Twin ◽  
Twin Model ◽  
Decision Making System ◽  
Novel Concept ◽  
Self Organizing

This chapter presents the evolution of simulation modelling methodology in the context of the Industry 4.0 paradigm and the development of autonomous, self-organizing manufacturing systems. Such a system is managed by a decision-making system that uses a detailed model of the factory, known as the “digital twin” to monitor and control the manufacturing process and test possible process reorganization scenarios. To allow self-organization within the physical world, the “digital twin” model must itself be self-organizing. That means that the structure of the simulation model can be constructed from process data, which is a novel concept, called data-driven modelling. As self-organization leads to the reorganization of existing elements and their relationships within a system, we can treat such manufacturing systems as autopoietic. The chapter introduces the Industry 4.0 paradigm and its background and presents the main self-organizing manufacturing concepts, and the state of technology supporting these concepts.

scholarly journals Practical Use of Robot Manipulators as Intelligent Manufacturing Systems

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2877 ◽  
Author(s):  
Pablo Alhama Blanco ◽  
Fares Abu-Dakka ◽  
Mohamed Abderrahim
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Robot Manipulators ◽  
Smart Cities ◽  
Industrial Robot ◽  
Online Communication ◽  
Intelligent Manufacturing ◽  
Communication Tool ◽  
Industrial Big Data

This paper presents features and advanced settings for a robot manipulator controller in a fully interconnected intelligent manufacturing system. Every system is made up of different agents. As also occurs in the Internet of Things and smart cities, the big issue here is to ensure not only that implementation is key, but also that there is better common understanding among the main players. The commitment of all agents is still required to translate that understanding into practice in Industry 4.0. Mutual interactions such as machine-to-machine and man-to-machine are solved in real time with cyber physical capabilities. This paper explores intelligent manufacturing through the context of industrial robot manipulators within a Smart Factory. An online communication algorithm with proven intelligent manufacturing abilities is proposed to solve real-time interactions. The algorithm is developed to manage and control all robot parameters in real-time. The proposed tool in conjunction with the intelligent manufacturing core incorporates data from the robot manipulators into the industrial big data to manage the factory. The novelty is a communication tool that implements the Industry 4.0 standards to allow communications among the required entities in the complete system. It is achieved by the developed tool and implemented in a real robot and simulation

scholarly journals Effectiveness of Moodle in student’s independent work

2021 ◽  
Vol 273 ◽  
pp. 12084
Author(s):  
Yana Gudkova ◽  
Svetlana Reznikova ◽  
Maria Samoletova ◽  
Elena Sytnikova
Keyword(s):  
Data Collection ◽  
Blended Learning ◽  
Real Time ◽  
Independent Study ◽  
Student Centered ◽  
Student Centered Learning ◽  
The Real ◽  
Qualitative And Quantitative ◽  
Active Involvement ◽  
Independent Work

Moodle is massively used as an essential component of blended-learning courses or mainly incorporated in traditional offline classes. The present research was aimed to investigate the effectiveness of integrating Moodle into student’s independent study within the framework of EFL course delivered online at Southern Federal University. Both qualitative and quantitative approaches were used, questionnaires being the main data collection techniques. The results have showed that Moodle helps students to revise and better understand the material studied in class. It has also been found that Moodle has facilitated student-centered learning allowing students to complete tasks anywhere and anytime. Moreover, it has made course administration easier and helped to reduce the time of delivering instruction and getting the real-time analytics. In addition, the students have stated that interactive and multimedia materials encourage their active involvement in learning and retained motivation. Both students and instructors express positive opinions towards learning English via Moodle.

scholarly journals STUDENT CENTERED LEARNING: AN APPROACH TO DEVELOP SPEAKING SKILL IN EFL CLASSROOM

2018 ◽  
Vol 2 (1) ◽  
pp. 153 ◽  
Author(s):  
Finza Larasati
Keyword(s):  
Learning Styles ◽  
Teaching Method ◽  
Learning Experience ◽  
Learning By Doing ◽  
Classroom Teaching ◽  
Learning Approach ◽  
Student Centered ◽  
Student Centered Learning ◽  
Speaking Skill ◽  
The Relationship

This paper brings to light, the importance of an approach in learning speaking; a student centered learning approach. The researcher pays so much attention on this approach caused the necessity of students in globalization era that required them to master the English especially in terms of communication. A key issue here is whether what happens in a speaking classroom is concerned with “teaching speaking”. Student-centered learning is focused on the student’s needs, abilities, interests, and learning styles with the teacher as a facilitator of learning. This classroom teaching method acknowledges student voice as central to the learning experience for every learner. The relationship between student-centered approach and the speaking skill is relevant. This approach creates learning by doing situation. The students can develop their speaking skill through the realization of tasks, which are devised along with the students and taking into consideration their needs and characteristics.

scholarly journals Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems

2020 ◽  
Vol 12 (6) ◽  
pp. 2272
Author(s):  
Muawia Ramadan ◽  
Bashir Salah ◽  
Mohammed Othman ◽  
Arsath Abbasali Ayubali
Keyword(s):  
Real Time ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Mixed Integer ◽  
Value Stream Mapping ◽  
Real Time Scheduling ◽  
Time Scheduling ◽  
Lean Tools ◽  
Manufacturing Environments

Lean manufacturing is one of the most popular improvement agents in the pursuit of perfection. However, in today’s complex and dynamic manufacturing environments, lean tools are facing an inevitable death. Industry 4.0 can be integrated with lean tools to avoid their end. Therefore, the primary purpose of this paper is to introduce an Industry 4.0-based lean framework called dynamic value stream mapping (DVSM) to digitalize lean manufacturing through the integration of lean tools and Industry 4.0 technologies. DVSM with its powerful features is proposed to be the smart IT platform that can sustain lean tools and keep them alive and effective. This paper specifically tackles the scheduling and dispatching in today’s lean manufacturing environments, where the aim of this research is developing a smart lean-based production scheduling and dispatching model to achieve the lean target through optimizing the flow along the VSM and minimizing the manufacturing lead time. The developed model, called the real-time scheduling and dispatching module (RT-SDM), runs on DVSM. The RT-SDM is represented through a mathematical model using mixed integer programming. Part of the testing and verification process, a simplified IT-based software, has been developed and applied on a smart factory lab.

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