Research Directions in Computer Networking for Manufacturing Systems

1989 ◽  
Vol 111 (2) ◽  
pp. 109-115 ◽  
Author(s):  
A. Ray ◽  
S. Phoha
Keyword(s):  
Communication Networks ◽  
Manufacturing Systems ◽  
Computer Integrated Manufacturing ◽  
Computer Networking ◽  
Distributed Network ◽  
Computer Engineering ◽  
Research Problems ◽  
Basic And Applied Research ◽  
Networking Architectures ◽  
And Control

This paper identifies and discusses pertinent research problems in the design and development of communication networks for Computer-Integrated Manufacturing (CIM). The conclusions and recommendations presented here are largely the outcome of the workshop on Computer Networking for Manufacturing Systems [1]. The workshop was conducted in November 1987 under the sponsorship of the division of Design, Manufacturing and Computer Engineering of National Science Foundation. Both basic and applied research in computer networking for integration of all manufacturing-related functions is recommended in three general areas of efficient networking architectures, accommodation of equipment and environmental heterogeneity, and distributed network management and control.

Hub Location Allocation Problems and Solution Algorithms

2018 ◽  
pp. 77-106
Author(s):  
Peiman A. Sarvari ◽  
Fatma Betül Yeni ◽  
Emre Çevikcan
Keyword(s):  
Engineering Design ◽  
Communication Networks ◽  
Manufacturing Systems ◽  
Location Problem ◽  
Computer Engineering ◽  
Hub Location ◽  
Hub Location Problem ◽  
Location Allocation ◽  
Solution Algorithms ◽  
Location Allocation Problem

The Hub Location-Allocation Problem is one of the most important topics in industrial engineering and operations research, which aims to find a form of distribution strategy for goods, services, and information. There are plenty of applications for hub location problem, such as Transportation Management, Urban Management, locating service centers, Instrumentation Engineering, design of sensor networks, Computer Engineering, design of computer networks, Communication Networks Design, Power Engineering, localization of repair centers, maintenance and monitoring power lines, and Design of Manufacturing Systems. In order to define the hub location problem, the present chapter offers two different metaheuristic algorithms, namely Particle Swarm Optimization or PSO and Differential Evolution. The presented algorithms, then, are applied to one of the hub location problems. Finally, the performances of the given algorithms are compared in term of benchmarking.

Implementing a model-based generic user interface for computer integrated manufacturing systems

1998 ◽  
Vol 212 (7) ◽  
pp. 501-516 ◽  
Author(s):  
R P Monfared ◽  
A Hodgson ◽  
B A Bowen ◽  
A A West
Keyword(s):  
User Interface ◽  
Manufacturing Systems ◽  
Computer Integrated Manufacturing ◽  
Conceptual Approach ◽  
Industrial Case Study ◽  
Integrated Manufacturing ◽  
Software Applications ◽  
Communication Techniques ◽  
And Control ◽  
Manufacturing Environments

Computer integrated manufacturing (CIM) systems are complex in terms of performing a variety of activities, maintaining a range of information and involving various classes of users with differing levels of knowledge and skills, and different levels and time spans of decision making. Much investment and effort has been made to formalize and automate the performance of the CIM elements in a manufacturing system. However, each CIM subsystem will typically have its own terminology, procedures and presentation formats. This places a heavy and unnecessary burden on users, resulting in frustration and reduced effectiveness. Research has been carried out by the Manufacturing Systems Integration Research Institute at Lough-borough University towards the generation of a user-oriented interface for CIM systems. This research has resulted in a conceptual approach, which incorporates a generic user—task model, which enables the generation of flexible and reusable software components to form a semigeneric user interface for CIM users. The CIM user interface provides presentation tools to monitor and control the performance of the CIM elements. Advanced modelling and integration technologies have been deployed to enable the system to cover a wide area of manufacturing domains. These technologies include modern manufacturing modelling architectures such as CIMOSA and GERAM, and advanced communication techniques such as those used by Web-based software applications in manufacturing environments. The implementation issues of the generic user interface concept, together with its application within an industrial case study are discussed in this paper.

Performance analyses of the communication networks of a modern supervision and control system of research reactors

Kerntechnik ◽  
2009 ◽  
Vol 74 (1-2) ◽  
pp. 42-46
Author(s):  
E. I. El-Madbouly ◽  
M. K. Shaat ◽  
A. M. Shokr ◽  
G. H. Elrefaei
Keyword(s):  
Control System ◽  
Communication Networks ◽  
Research Reactors ◽  
Performance Analyses ◽  
And Control

scholarly journals Polarization-transparent silicon photonic add-drop multiplexer with wideband hitless tuneability

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Francesco Morichetti ◽  
Maziyar Milanizadeh ◽  
Matteo Petrini ◽  
Francesco Zanetto ◽  
Giorgio Ferrari ◽  
...  
Keyword(s):  
Optical Networks ◽  
Communication Networks ◽  
Bandwidth Allocation ◽  
Core Networks ◽  
Reconfigurable Devices ◽  
Silicon Photonic ◽  
Transmission Quality ◽  
And Control ◽  
Integrated Device ◽  
Dynamic Bandwidth

AbstractFlexible optical networks require reconfigurable devices with operation on a wavelength range of several tens of nanometers, hitless tuneability (i.e. transparency to other channels during reconfiguration), and polarization independence. All these requirements have not been achieved yet in a single photonic integrated device and this is the reason why the potential of integrated photonics is still largely unexploited in the nodes of optical communication networks. Here we report on a fully-reconfigurable add-drop silicon photonic filter, which can be tuned well beyond the extended C-band (almost 100 nm) in a complete hitless (>35 dB channel isolation) and polarization transparent (1.2 dB polarization dependent loss) way. This achievement is the result of blended strategies applied to the design, calibration, tuning and control of the device. Transmission quality assessment on dual polarization 100 Gbit/s (QPSK) and 200 Gbit/s (16-QAM) signals demonstrates the suitability for dynamic bandwidth allocation in core networks, backhaul networks, intra- and inter-datacenter interconnects.

User-responsive interface generation for manufacturing systems: A theoretical basis

2000 ◽  
Vol 214 (5) ◽  
pp. 379-392 ◽  
Author(s):  
A A West ◽  
B A Bowen ◽  
R P Monfared ◽  
A Hodgson
Keyword(s):  
Interface Design ◽  
Theoretical Basis ◽  
Manufacturing Systems ◽  
Computer Integrated Manufacturing ◽  
Statistical Process ◽  
Individual System ◽  
Interface Generation ◽  
System User ◽  
Common User ◽  
And Task

Computer integrated manufacturing (CIM) systems with a significant level of human-computer interaction are often inefficient. This is particularly problematical for those users who have to interact with multiple subsystem interfaces. These difficulties can be traced back to the fact that representation of the user in existing manufacturing models and systems is inadequate. An approach that increases user representation to improve CIM interface design is proposed, in which stereotype-based user and task models are used to specify a common user interface for each individual system user. An overview of the architecture is followed by discussion of an application domain (statistical process control) in which a demonstrator based on the architecture has been tested.

A Blockchain-Enabled Approach for Online Stream Sensor Data Protection in Cyber-Physical Manufacturing Systems

2021 ◽  
Author(s):  
Zhangyue Shi ◽  
Chenang Liu ◽  
Chen Kan ◽  
Wenmeng Tian ◽  
Yang Chen
Keyword(s):  
Information Technologies ◽  
Manufacturing Systems ◽  
Rapid Development ◽  
Data Access ◽  
Sensor Data ◽  
False Alarms ◽  
Monitoring And Control ◽  
Stream Data ◽  
Physical Security ◽  
And Control

Abstract With the rapid development of the Internet of Things and information technologies, more and more manufacturing systems become cyber-enabled, which significantly improves the flexibility and productivity of manufacturing. Furthermore, a large variety of online sensors are also commonly incorporated in the manufacturing systems for online quality monitoring and control. However, the cyber-enabled environment may pose the collected online stream sensor data under high risks of cyber-physical attacks as well. Specifically, cyber-physical attacks could occur during the manufacturing process to maliciously tamper the sensor data, which could result in false alarms or failures of anomaly detection. In addition, the cyber-physical attacks may also illegally access the collected data without authorization and cause leakage of key information. Therefore, it becomes critical to develop an effective approach to protect online stream data from these attacks so that the cyber-physical security of the manufacturing systems could be assured. To achieve this goal, an integrative blockchain-enabled method, is proposed by leveraging both asymmetry encryption and camouflage techniques. A real-world case study that protects cyber-physical security of collected stream data in additive manufacturing is provided to demonstrate the effectiveness of the proposed method. The results demonstrate that malicious tampering could be detected in a relatively short time and the risk of unauthorized data access is significantly reduced as well.

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