The application of dependency management in an integrated manufacturing network framework
ABSTRACT 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.
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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 agentsIET Communications 07/2007; · 0.72 Impact Factor
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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 01/2012; · 1.78 Impact Factor