Research of Industrial Collaborative Manufacturing System on Based on Cloud Computing

2014 ◽  
Vol 635-637 ◽  
pp. 1866-1870
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Jun Wang ◽  
Liang Li
Keyword(s):  
Cloud Computing ◽  
Support System ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Service Model ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Design Collaboration ◽  
Elastic Computing ◽  
Economic Growth Mode

This paper analyzes the main problems in informatization of china's manufacturing industry, and researches an industrial collaborative manufacturing system for large and medium-sized manufacturing enterprises taking advantage of the benefits of cloud computing such as resource integration, elastic computing, mass data, and service integration. The system includes technical support system, business support system, security system and service portal, which providing design collaboration services, production collaboration services, business collaboration services, office collaboration services for enterprises, and forming a complete standard system. This will further promote the innovation of the service model and change of economic growth mode in our country.

A Theoretical Architecture for Regional Manufacturing System

2010 ◽  
Vol 102-104 ◽  
pp. 915-919
Author(s):  
Xiao Bing He ◽  
Fie Liu ◽  
Yan He ◽  
Hua Chuan Yin
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Reference Model ◽  
Research Subject ◽  
Important Research ◽  
Industrial Association ◽  
Regional Characteristics ◽  
Manufacturing Enterprises

China’s manufacturing industry has obvious regional characteristics. With the regional economic development, how to improve the overall competitiveness of the regional manufacturing industry has become an important research subject for regional development. This paper analyzed the possibility of constructing Regional Manufacturing System (RMS) from the aspect of regional industrial association degree, puts forward the theoretical architecture of RMS which provides a reference model for the optimizing operation of the Manufacturing System and the business cooperation among the manufacturing enterprises in the region.

Cloud Computing for Cloud Manufacturing: Benefits and Limitations

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Peng Wang ◽  
Robert X. Gao ◽  
Zhaoyan Fan
Keyword(s):  
Cloud Computing ◽  
Manufacturing Industry ◽  
Computational Cost ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
New Paradigm ◽  
Analytic Hierarchy ◽  
Manufacturing Enterprises ◽  
Analytic Models ◽  
Hierarchy Process

Cloud computing, as a new paradigm for aggregating computing resources and delivering services over the Internet, is of considerable interest to both academia and the industry. In this paper, the main characteristics of cloud computing are summarized, in view of its application to the manufacturing industry. Analytic models such as analytic hierarchy process (AHP) method for selecting appropriate cloud services are analyzed, with respect to computational cost and network communication that present a bottleneck for effective utilization of this new infrastructure. The review presented in this paper aims to assist academic researchers and manufacturing enterprises in obtaining an overview of the state-of-the-knowledge of cloud computing when exploring this emerging platform for service.

Cloud Manufacturing

2018 ◽  
Vol 8 (2) ◽  
pp. 39
Author(s):  
Matthew Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan Musa
Keyword(s):  
Cloud Computing ◽  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Manufacturing Processes ◽  
Web Based ◽  
Collaborative Manufacturing ◽  
On Demand ◽  
The Future ◽  
Service Oriented ◽  
Basic Concepts

Cloud manufacturing is emerging as a new manufacturing paradigm which applies well-known basic concepts from cloud computing to manufacturing processes and deliver shared, ubiquitous, on-demand manufacturing services. It  is an innovative, web-based manufacturing model. It is promising to transform today’s manufacturing industry from production-oriented to service-oriented, highly collaborative manufacturing of the future. This paper provides a brief introduction to cloud manufacturing.

Knowledge Protocols

2011 ◽  
pp. 304-323 ◽  
Author(s):  
Ercan Oztemel ◽  
Esra Kurt Tekez
Keyword(s):  
Manufacturing Industry ◽  
Manufacturing System ◽  
Knowledge Exchange ◽  
International Competitiveness ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing System ◽  
Manufacturing Enterprises ◽  
Industrial Organizations ◽  
Basic Features

Manufacturing enterprises continuously have to cope with changing markets that are unpredictable and diverse; manufacturing industry is facing international competitiveness and globalization. This obviously requires industrial organizations to manage different components of their organizations by integrating and coordinating them into a highly efficient, effective, and responsive system in order to maintain and improve their competitiveness. This chapter presents a knowledge exchange procedure for creating an integrated intelligent manufacturing system. The basic features of proposed scheme are introduced and the approach is supported through a case study.

scholarly journals Safety 4.0 for collaborative robotics in the factories of the future

2021 ◽  
Vol 49 (4) ◽  
pp. 842-850
Author(s):  
Luca Caruana ◽  
Emmanuel Francalanza
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Production Systems ◽  
State Of The Art ◽  
Collaborative Environments ◽  
Collaborative Manufacturing ◽  
Technology Changes ◽  
Feasible Solutions ◽  
Cyber Physical Production Systems

Technology changes present a constant drive for evolvement in the manufacturing industry. This development has brought about a complete change in the way the industry implements technologies. The complexity of state-of-the-art technologies is on the increase as new and unforeseen perils continue to emerge. One of the main challenges being faced is the adaptation of manufacturing systems to the latest safety and security considerations. The research hypothesis being investigated is that a logically structured procedure incorporating safety and security would be able to assist in designing an ergonomic and collaborative manufacturing system while identifying and analysing risks, eventually establishing feasible solutions for these specific burdens. This paper therefore contributes a methodology which was developed to address issues of safety and security in the design and implementation of cyber-physical production systems in collaborative environments.

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

scholarly journals Goals and measures for analyzing power consumption data in manufacturing enterprises

2021 ◽  
Vol 3 (1) ◽  
pp. 65-82
Author(s):  
Sören Henning ◽  
Wilhelm Hasselbring ◽  
Heinz Burmester ◽  
Armin Möbius ◽  
Maik Wojcieszak
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Manufacturing Industry ◽  
Fog Computing ◽  
Electrical Power ◽  
Time Data ◽  
Manufacturing Enterprises ◽  
Computing Paradigm ◽  
Consumption Data ◽  
Analyzing Power

AbstractThe Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we follow up on such emerging opportunities for data acquisition and show that analyzing power consumption in manufacturing enterprises can serve a variety of purposes. In two industrial pilot cases, we discuss how analyzing power consumption data can serve the goals reporting, optimization, fault detection, and predictive maintenance. Accompanied by a literature review, we propose to implement the measures real-time data processing, multi-level monitoring, temporal aggregation, correlation, anomaly detection, forecasting, visualization, and alerting in software to tackle these goals. In a pilot implementation of a power consumption analytics platform, we show how our proposed measures can be implemented with a microservice-based architecture, stream processing techniques, and the fog computing paradigm. We provide the implementations as open source as well as a public show case allowing to reproduce and extend our research.

Grey relation analysis of 4S service pilot in high-end equipment manufacturing industry

2021 ◽  
pp. 1-13
Author(s):  
Chunyue Xiao ◽  
Jian Sun
Keyword(s):  
Manufacturing Industry ◽  
Relevant Literature ◽  
Competitive Advantages ◽  
Product Model ◽  
Model Framework ◽  
Manufacturing Enterprises ◽  
Customer Interaction ◽  
Cooperative Production ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry

Servitization has a significant impact on the upgrading and reform of the equipment manufacturing industry. From the perspective of application of high-end servitization theory in business practice of equipment manufacturing industry, based on the review of relevant literature, this paper analyzes the concept of integration delay strategy mechanism of cooperative production between enterprises and customers, and thus constructs the theoretical model framework of 4S service pilot high-end equipment manufacturing product-customer interaction experience. With the Liaoning equipment manufacturing industry as a case for quantitative analysis, the feasibility of using delay strategy in the 4S service pilot program is demonstrated, and the three-stage development plan of Liaoning 4S service pilot is outlined. The results show that: At present, in the trend of servitization of China’s equipment manufacturing enterprises, 4S service pilot high-end manufacturing product model enables equipment manufacturing enterprises to delay production time and produce according to customer orders, improve service efficiency and optimize resource allocation, and help enterprises to obtain new exclusive competitive advantages.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Agent Technology ◽  
Manufacturing Processes ◽  
Intelligent Manufacturing System ◽  
Collaborative Manufacturing ◽  
Model Based ◽  
Support Organizations ◽  
Multi Agent

A framework for building EDM collaborative manufacturing system using multi-agent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. According to the characteristics of agile EDM collaborative manufacturing system(AEDMCMS), the agent technology is combined with Petri net in order to analyze the model. Based on the basic Petri Net, the definition is extended and the Agent-oriented Petri net (APN) is proposed. AEDMCM is turned into the model of Petri Net which is suitable to the analysis and optimization of manufacturing processes.

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