The Architecture and Development Environment of Virtual Manufacturing Systems

2000 ◽  
Author(s):  
Qing Ke Yuan ◽  
Xin Chen
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
International Market ◽  
Virtual Manufacturing ◽  
Manufacturing Industries ◽  
Development Environment ◽  
Perfect Performance ◽  
Effective Technology ◽  
Modern Manufacturing ◽  
The Times

Abstract For adapting the demands of the rapid changing and enhancing the competing capability of enterprise in the international market, various modern manufacturing systems have been put forward, which are aimed at various specifications, perfect performance and high quality, low production cost and short manufacturing cycle of products, virtual manufacturing system (VMS) has been emerged as the times require, which is effective technology to meet the challenge of 21 century’s manufacturing industries. Based on analyzing modern manufacturing systems, according to the characteristics and requirement of VMS, in this paper, the architecture, the key technologies and the implement way of VMS were explored, and development environment for VMS was put forward, which is a powerful tool for building VMS.

Special Issue on Intelligent Manufacturing Systems

1994 ◽  
Vol 6 (6) ◽  
pp. 441-441
Author(s):  
Yoshio Mizugaki
Keyword(s):  
International Trade ◽  
Mass Production ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Manufacturing Industries ◽  
Special Issue ◽  
Production Engineering ◽  
New Paradigm ◽  
Intelligent Manufacturing Systems

Production engineering and manufacturing industries face difficulties in developing a new paradigm to cope with the post mass-production era. Consumers' preferences change very quickly and vary over a wide range of taste. A product's life cycle becomes shorter than shorter. Thus, rapid prototyping techniques have been requested, and some new concepts on manufacturing have been presented including Flexible Manufacturing System, Factory (or Flexible) Automation, Computer Integrated Manufacturing System, and Concurrent Engineering. After the termination of the cold war, many regional economies combined through international trade and dynamically evolved into global economies. Such change had significant effects on manufacturing industries and consequently on production engineering. As a new paradigm in the post mass-production era, the creation of manufacturing culture has been advocated by Prof. Hiroyuki Yoshikawa, President of University of Tokyo. It contains not only the movement towards standardization of conventional manufacturing knowledge but also the development of a global manufacturing system with use of computerization. At his advocation, the international research project of Intelligent Manufacturing Systems (IMS) was initiated. This bimonthly journal is a special issue on the IMS project and similar topics widely covering intelligent manufacturing systems. The former part of the contents is the description of the IMS project. It consists of the commentary articles quoted from the IMS news and the latest reports of IMS international test cases. The Japan IMS center publishes the IMS news and strongly supports the IMS project itself with collaboration of Ministry of International Trade and Industry of Japan (MITI). The authors of these reports are primarily enrolled in the actual responsibility to promote their projects and newly write the articles for this journal. I would like to thank the IMS center and each author for their contributions to this special issue on the IMS project. The latter part of the contents consists of the articles on the STandard for the Exchange of Product model data (STEP) and some technical papers on manufacturing. A conference report on the 2nd Japan-France Congress on Mechatronics is also provided in this issue. I would like to thank all contributors for their cooperation in creating this special issue. As can be easily seen, this issue focused on the forthcoming advancement on production engineering and manufacturing through the movement of Intelligent Manufacturing Systems. As the editor of this special issue on Intelligent Manufacturing Systems, I hope that the readers pay attention to this new movement and become involved in the near future.

scholarly journals A Reference Model and a vision for manufacturing system for 2030

2015 ◽  
Vol 14 (7) ◽  
pp. 5861-5868
Author(s):  
Morteza Sadegh Amalnik
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Reference Model ◽  
Resource Planning ◽  
Virtual Manufacturing ◽  
Computer Integrated Manufacturing ◽  
Virtual Enterprises ◽  
Manufacturing Execution System ◽  
Manufacturing Companies ◽  
Advanced Planning

The manufacturing enterprises are now experiencing high pressure of competition. In addition, the advancement in computer software, hardware, networks, information technologies and integration has been gradually reshaping the manufacturing companies by shifting from the industrial age to the information and knowledge era. Due to these elevated competitiveness and advanced computer technology, a number of new manufacturing and management strategies (e.g., Lean production, Just in time, Kaizen, Concurrent Engineering (CE), Cellular Manufacturing (CM), Agile manufacturing, Business process re-engineering (BPR), Agent-based systems (ABS), Computer Integrated Manufacturing (CIM), virtual manufacturing system have emerged for the innovation of manufacturing industries. The developments in organizational concepts created new concepts such as Smart organizations, Centers of excellence, Intelligent enterprises, Integrated enterprises, Virtual enterprises, Virtual enterprises networks, Dynamic enterprises, Extended enterprises, Agile enterprises, Lean enterprises, Process-driven organizations, e-enterprises, Borderless enterprises, Complicated or complex manufacturing systems, Flat structures and others. These terms have been used by researchers to describe various aspects of enterprises and its operational aspects. Although they have different definitions and scopes, there are several common issues: integration of enterprise functions; integration of enterprise resources; and collaboration. In addition Various vendors produced software applications such as Materials Requirement Planning (MRP), Manufacturing Resource Planning (MRP II), Enterprise Resource Planning (ERP),CAD/CAM systems, Manufacturing Execution System (MES), Advanced Planning & Scheduling System (APS), Supply Chain Execution (SCE), Customer Relationship Management (CRM), Advanced Order Management (AOM), Warehouse Management Systems (WMS), Transport Management System (TMS) and others. This paper proposes a Reference Model and vision for Manufacturing System for 2030 and discussed various aspects of future manufacturing enterprise..It supports the inter-enterprise functions/resources integration and collaboration over the networked environment.

The Virtual Manufacturing Workstation

1992 ◽  
Author(s):  
J. J. Mills ◽  
B. Huff ◽  
T. Criswell ◽  
J. Graham
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Integrated System ◽  
Virtual Manufacturing ◽  
Design Program ◽  
The Status ◽  
Program Test ◽  
Complex Manufacturing Systems

Abstract The Virtual Manufacturing Workbench is a project to develop an integrated set of tools with which a team of engineers can design, program, test and debug complex manufacturing systems. The approach taken includes developing a manufacturing system with individual tools, developing general requirements for an integrated system, defining an architecture that meets those requirements, and developing a prototype to test the architecture and test and refine the requirements. Some of the requirements for such a system are discussed as well as the status of the two prototypes presented.

Virtual Manufacturing and Its Application to Making Oil Pumps

Manufacturing ◽  
2002 ◽  
Author(s):  
A. A. Tseng ◽  
J. Q. Yan ◽  
X. M. Fan ◽  
D. Z. Ma
Keyword(s):  
Information Processing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Virtual Manufacturing ◽  
System Structure ◽  
System Architectures ◽  
Software Applications ◽  
Prototype Software ◽  
Processing Techniques

Advances in manufacturing systems have led to the increasing importance of the information processing techniques. Many tasks in manufacturing have been transferred from workshops to computers, and now large portions of activities in manufacturing systems are presently considered for being carried out as information processing activities within computers. As a result, system architectures and virtual reality have emerged as necessary components in today’s global manufacturing industry in an attempt to enhance both process and production operations. A system structure and related design methodology of a general virtual manufacturing system is proposed here. Prototype software based on the proposed system has been developed. The system was developed on a network-based platform, which can integrate with wide variety of software. Applications of the proposed system to virtual product design of oil pumps are then presented to demonstrate its feasibility and versatility.

scholarly journals MODELING OF THE MANUFACTURING SYSTEMS STATE IN THE CONDITIONS OF THE LEAN PRODUCTION

2021 ◽  
Vol 2021 (2) ◽  
pp. 4408-4413
Author(s):  
KONSTANTIN DYADYURA ◽  
◽  
LIUDMYLA HREBENYK ◽  
TIBOR KRENICKY ◽  
TADEUSZ ZABOROWSKI ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Large Time ◽  
Lean Production ◽  
Energy Materials ◽  
Markov Analysis ◽  
Time Varying Parameters ◽  
External Conditions ◽  
Modern Manufacturing ◽  
The Given

This article investigates the hierarchy of the manufacturing system, which consists of a set of interrelated processes aimed at converting information, knowledge, energy, materials, and other resources into value for the consumer based on the principles of lean production. Modern manufacturing systems are becoming more and more complex to manage. The problems that need to be solved are associated with a significant number of time-varying parameters, large time delays, high non-linearity of processes, and a complex relationship between input and output parameters. Depending on the parameters of internal components and characteristics of external conditions, the state of manufacturing systems can change in an unpredictable manner. The paper considers many types of discrete states in which the system can be. The estimation of the probability of finding the manufacturing system in any of the given states was carried out using discrete Markov analysis. The article also presents the results of studies of possible transitions between states in which the production system is presented in the form of a transition matrix.

Dynamic Maintenance Strategy With Q-Learning for Workstations in a Flow Line Manufacturing System

2010 ◽  
Author(s):  
Sagar Kamarthi ◽  
Abe Zeid ◽  
Yusuf Ozbek
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flow Line ◽  
Maintenance Cost ◽  
Q Learning ◽  
Intelligent Maintenance ◽  
Dynamic Maintenance ◽  
Maintenance Systems ◽  
Modern Manufacturing ◽  
Production Losses

Every machine or equipment in a manufacturing facility is subject to failure due to deterioration based on cumulative wear, crack growth, erosion, etc. This failure will cause production losses and delays resulting in high costs. As the modern manufacturing systems are getting more and more complex, intelligent maintenance schemes must replace the old labor intensive planned maintenance systems to ensure that equipment continues to function. If the maintenance decision is based on the state of the system rather than its age, this leads to the choice of a Condition Based Maintenance (CBM) policy to prevent catastrophic unexpected machine breakdowns and increase the availability of individual machines, but it also introduces randomness into the manufacturing operation. This paper presents a Q-Learning model to dynamically group maintenance actions on different machines and execute them simultaneously, so that one can reduce maintenance cost and increase the efficiency of the manufacturing system.

Research on a Generating Method of Spiral Flutes of Hourglass Worm Gear Hob

2017 ◽  
Author(s):  
Yang Jie ◽  
Li Haitao ◽  
Rui Chengjie ◽  
Wei Wenjun ◽  
Dong Xuezhu
Keyword(s):  
Mathematical Model ◽  
Manufacturing System ◽  
Worm Gear ◽  
Virtual Manufacturing ◽  
Transmission Ratio ◽  
Method Of Determination ◽  
Generating Method ◽  
Multiple Threads ◽  
Different Shapes

All of the cutting edges on an hourglass worm gear hob have different shapes and spiral angles. If the spiral angles are small, straight flutes are usually adopted. But for the hob with multiple threads, the absolute values of the negative rake angles at one side of the cutting teeth will greatly affect the cutting performance of the hob if straight flutes are still used. Therefore, spiral flutes are usually adopted to solve the problem. However, no method of determination of the spiral flute of the hourglass worm gear hob has been put forward till now. Based on the curved surface generating theory and the hourglass worm forming principle, a generating method for the spiral flute of the planar double enveloping worm gear hob is put forward in this paper. A mathematical model is built to generate the spiral flute. The rake angles of all cutting teeth of the hob are calculated. The laws of the rake angles of the cutting teeth of four hobs with different threads from one to four threads are analyzed when straight flutes and spiral flutes are adopted respectively. The laws between the value of the negative rake angles of the hob with four threads and the milling transmission ratio are studied. The most appropriate milling transmission ratio for generating the spiral flute is obtained. The machining of the spiral flutes is simulated by a virtual manufacturing system and the results verify the correctness of the method.

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development

2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Industrial Development ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Industrial Sector ◽  
Business Environment ◽  
Maximum Speed ◽  
Industrial Enterprises

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

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