The application of dependency management in an integrated manufacturing network framework
Research into the effectiveness and performance of the mobile agent (MA)technology as a means of managing a domain of manufacturing devices has been conducted. However, it has been shown that MAs are not without their scalability issues. A strategic agent travelling algorithm will bring performance improvement as it allows agents to identify the best migration path in order to minimise the total expected time of searching for the desired information. The applications of process-driven dependency management along with MA techology are examined as methods for optimising the effiency of retrieving critical information in the manufacturing environment. An integrated framework is developed to investigate the alignment of network management paradigm to the strategic management decision.
Available from: Alan Gene Holt
- "Simulation based research initiatives   use an initial MA size ranging from 1K to 20K. As we are modeling a very simple management function we choose small initial MA size, that is ma init = 1000 (also used in  ). The growth of the MA, as it visits devices, also depends upon the management function, and the number and size of the managed objects collected. "
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ABSTRACT: The results of a performance analysis of mobile agents in a distributed network environment are presented. Analytical models are developed and used to compare the performance of carrying out a simple management function with mobile agents (MA) or SNMP (simple network management protocol). An examination is made of how delay is affected by the size of the management domain and how each method behaves in both a local area network (LAN) and wide area network (WAN) environment. For large domains, optimal performance is obtained if the mobile agents' size is bounded, and this may require sharing the management task among a small number of mobile agents
IET Communications 07/2007; 1(3-1):532 - 538. DOI:10.1049/iet-com:20050490 · 0.74 Impact Factor
Available from: R. P. Prado
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ABSTRACT: Computer vision has arisen as one of the most important application areas in manufacturing processes. This work shows a new
real-time texture analysis for medium-density fiberboard with melamine paper, using edge detection techniques and threshold
detection methods. To minimize the time of identification of defects, the images of fiberboard are sent to a grid system.
In a first phase, several tests are carried out using different image resolutions and sizes. In a second phase, to optimize
the system, with the best resolution obtained and using a grid system, our aim is to minimize the time of detection of possible
defects without jeopardizing the performance of the quality control system. Results show that, using accurate resolutions,
the error detection process is quicker and the defect identification rate significantly improves.
International Journal of Advanced Manufacturing Technology 02/2012; 58(9). DOI:10.1007/s00170-011-3456-6 · 1.46 Impact Factor
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