Multi-Sensor Based Autonomous Planning for Robotic Manufacturing Systems

2013 ◽  
Vol 791-793 ◽  
pp. 826-830
Author(s):  
Wei Der Chung ◽  
Woon Ki Na ◽  
Shih Chieh Shie ◽  
Hsin Pei Chen ◽  
Xiao Hu
Keyword(s):  
Manufacturing Systems ◽  
Performance Monitoring ◽  
Production Systems ◽  
Process Equipment ◽  
High Quality ◽  
Automated Production ◽  
Equipment Operation ◽  
Current Trends ◽  
Autonomous Planning ◽  
And Performance

Current trends in precision machinery include increased adaptability, speed and reliability. This, combined with the development of artificially-intelligent automatic sensors can lead to the establishment of highly-reliable and systematic manufacturing systems. During the automation process, equipment process parameters frequently need to be adjusted to match the requirements of different processes. Thus how to best maintain normal equipment operation and stable quality through these frequent adjustments is a key issue for manufacturers. Therefore, high-quality automated production systems allowing for fast-changeover and real-time automatic detection and performance monitoring are effectively needed.

Possibilities of Use of Virtual Reality in the Field of Manufacturing Systems

2012 ◽  
Vol 186 ◽  
pp. 188-193 ◽  
Author(s):  
Lucia Koukolová ◽  
Mikuláš Hajduk ◽  
Andrej Belovezcik
Keyword(s):  
Virtual Reality ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Real Life ◽  
Industrial Robots ◽  
Modular System ◽  
Work Team ◽  
Flexible System ◽  
Teaching Aids ◽  
And Performance

The paper presents the structure and performance of the system created by a work team at Department of Production Systems and Robotics at Technical University of Kosice. System MSEVR – „ Modular system for experimentation in virtual reality“ is universal flexible system created for teaching automated and robotic systems by means of new advanced teaching aids, including virtual reality. It has been created as a specialized website and its possibilities are varied. Particular use depends on creativity of a user. Built-in tools enable to use it adequately when teaching construction of industrial robots, to present their kinematic structure or other properties of individual machines. It also enables to work with machine aggregate. In real-life working the system has been tested for optimization of process layout where the full advantages of virtual reality were taken.

scholarly journals Human and Social Dimensions in CPS & IoT based Automated Production Systems

2021 ◽  
Author(s):  
Hind Bril El-Haouzi ◽  
Etienne Valette ◽  
Bettina-Johanna Krings ◽  
António Brandão Moniz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Human Dimensions ◽  
Automated Production ◽  
Human In The Loop ◽  
Research Fields ◽  
Human Operators ◽  
Conceptual Evolution

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap where human factor was seen as an important source of errors and disruptions. Today the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised the awareness about the central role humans have to play in manufacturing systems, to the design of which they must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different Human dimensions associated with CPS and IoT and focuses on their conceptual evolution of automatization to improve the sociability of such automated production systems and consequently puts again the human in the loop. Hereby, our aim is to take stock of current research trends, and to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. As results, different models of sociability as way to integrate human into the broad sense and/or the development of future automated production systems, were identified from the literature and analysed.

Effect of Failure Rate on the Availability Analysis of Nestle CERELAC Plant Using Markov Chain Method

2018 ◽  
pp. 121-127
Author(s):  
Gurbinder Singh ◽  
Rakesh Kumar
Keyword(s):  
Markov Chain ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Research Work ◽  
Automated Production ◽  
Availability Analysis ◽  
Long Run ◽  
Machine Reliability ◽  
Markov Chain Method

In the performance analysis of production systems by using the traditional methods of engineering the knowledge of machine reliability factors is assumed to be precisely known. The current study entitled performance evaluation of food industry in India. To analyze and determine the availability of plant a case study has been undertaken from Moga Nestle food private limited industry in India. Various studies evaluating the performance of automated production systems with the help of modeling and simulation and analytical methods have always given priority to steady state performance as compared to transient performance. Production systems in which such kind of situations arises include systems with dysfunctional states and deadlocks, not stable queuing systems. This research work presents an approach for analyzing the performance of unreliable manufacturing systems that take care of uncertain machine factor estimates. The method that is being proposed is on the basis of Markov chain and probability density function discretization techniques for studying manufacture lines consist unreliable machines. To determine the performance of plant, important information has been collected from different systems and subsystems to find out long run availability of whole system.

Application of Enterprise Modelling (EM) Principles to Improving the Performance of a Semi-Automated Production System

2009 ◽  
Vol 62-64 ◽  
pp. 293-302 ◽  
Author(s):  
J.O. Ajaefobi ◽  
R.H. Weston
Keyword(s):  
Production System ◽  
Dynamic Models ◽  
Production Systems ◽  
Discrete Event ◽  
Business Environment ◽  
Automated Production ◽  
Manufacturing Enterprises ◽  
Event Simulation ◽  
Enterprise Modelling ◽  
And Performance

To cope with high levels of complexity, competition and change requirements, manufacturing enterprises (MEs) need to continuously improve their process and resource system performances. Enterprise Modelling (EM) is considered a prerequisite for enterprise integration and performance improvement because it can be used to capture relatively enduring knowledge about any specific business environment in which production systems will be deployed. With this prerequisite in mind, EM principles were deployed to capture and develop ‘static’ models of an SME. This provided detailed descriptions of enterprise production operations and their precedence relationships. A discrete event simulation tool was then used to develop time dependent ‘dynamic’ models of selected process segments of the specific case Enterprise Model. This allowed the computer execution of alternative production system designs to be assessed under SME specific changing scenarios and enabled suggestions for potential improvements to be made.

Manufacturing Systems Building and Developing

2015 ◽  
Vol 669 ◽  
pp. 514-522
Author(s):  
Stefan Valencik ◽  
Tomas Stejskal ◽  
Ján Kmec ◽  
Luba Bicejova ◽  
Miroslav Gombar
Keyword(s):  
Information Flow ◽  
Material Flow ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Technological Systems ◽  
Automated Production

The paper presents a complex of information aimed at automated production systems structures and simulation. For production systems intergrated structures formation it uses logistic principles for making the internal material flow among various logistic nodes more precise and effective, including respective information flow, here e. g. with use of integrable and compatibile handling and technological systems, as well.

DIAMetrics

2021 ◽  
Vol 50 (1) ◽  
pp. 24-31
Author(s):  
Shaleen Deep ◽  
Anja Gruenheid ◽  
Kruthi Nagaraj ◽  
Hiro Naito ◽  
Jeff Naughton ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Production Systems ◽  
Use Cases ◽  
Unified Framework ◽  
Multiple Systems ◽  
Data Anonymization ◽  
Execution Monitoring ◽  
Core Concepts ◽  
End To End ◽  
And Performance

This paper introduces DIAMetrics: a novel framework for end-to-end benchmarking and performance monitoring of query engines. DIAMetrics consists of a number of components supporting tasks such as automated workload summarization, data anonymization, benchmark execution, monitoring, regression identification, and alerting. The architecture of DIAMetrics is highly modular and supports multiple systems by abstracting their implementation details and relying on common canonical formats and pluggable software drivers. The end result is a powerful unified framework that is capable of supporting every aspect of benchmarking production systems and workloads. DIAMetrics has been developed in Google and is being used to benchmark various internal query engines. In this paper, we give an overview of DIAMetrics and discuss its design and implementation. Furthermore, we provide details about its deployment and example use cases. Given the variety of supported systems and use cases within Google, we argue that its core concepts can be used more widely to enable comparative end-to-end benchmarking in other industrial environments.

scholarly journals Social Dimensions in CPS & IoT Based Automated Production Systems

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Hind Bril El-Haouzi ◽  
Etienne Valette ◽  
Bettina-Johanna Krings ◽  
António Brandão Moniz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Social Dimensions ◽  
Industrial Systems ◽  
Automated Production ◽  
Research Fields ◽  
Human Operators ◽  
Conceptual Evolution

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing systems, the design of which must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of Things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different human social dimensions associated with CPS and IoT and focuses on their conceptual evolution regarding automated production systems’ sociability, notably by bringing humans back in the loop. Hereby, this paper aims to take stock of current research trends to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. Consequently, different models of sociability as a way to integrate humans in the broad sense and/or the develop future automated production systems have been identified from the literature and analysed.

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