Browsing by Author "Vergidis, Kostas"

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    Automated inspection using database technology within the aerospace industry
    (Sage, 2008-02-01) Tiwari, Ashutosh; Vergidis, Kostas; Lloyd, R.; Cushen, J.
    Many manufacturing processes have become fully automated resulting in high production volumes. However, this is not the case for inspection. Shortening the inspection times in manufacturing industry using the available information resources can result in the reduction of production lead-time and overall costs. Rapid advances in machine tool technology have resulted in fast processing computer numerical control (CNC) machines that are capable of manufacturing parts at high speeds, turning their manual inspection process into a bottleneck. However, most CNC machines record the operations that they perform as realization logs. This paper proposes an approach that utilizes these realization logs for automating the inspection process. The automation occurs with the implementation of a software tool that imports and compares the realization logs with the manufacturing instructions for a manufactured part. The output of the tool is an inspection report that lists all the identified skipped or mishandled operations for that part. The proposed inspection approach is compared with the manual practice within an aerospace manufacturer. The results demonstrate drastic reduction in production lead-time while producing accurate and reliable inspection reports in an automated manner.
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    An automated optimisation framework for the development of re-configurable business processes: a web services approach
    (Taylor & Francis, 2013-07-23) Vergidis, Kostas; Turner, Christopher J.; Alechnovic, Alex; Tiwari, Ashutosh
    The practice of optimising business processes has, until recently, been undertaken mainly as a manual task. This article provides insights into an automated business process optimisation framework by using web services for the development of re-configurable business processes. The research presented here extends the optimisation framework by introducing additional web services as a mechanism for facilitating process interactions, identifying enhancements to support business processes and undertaking three case studies to evaluate the proposed enhancements. The featured case studies demonstrate that an increase in the amount of available web services gives rise to improvements in the business processes generated. This research highlights an increase in the efficiency of the algorithm and the quality of the business process designs that result from the enhancements. Future research directions are proposed for the further improvement of the framework.
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    Multi-objective optimisation of web business processes
    (2010-12-31T00:00:00Z) Tiwari, Ashutosh; Turner, Christopher J.; Ball, Peter D.; Vergidis, Kostas; Deb, K.; Bhattacharya, A.; Chakroborty, P.; Dutta, J.; Gupta, S. K.; Jain, A.; Aggarwal, V.; Branke, J.; Louis, S. J.; Tan, K. C.
    This paper proposes an approach for the optimisation of web business processes using multi-objective evolutionary computing. Business process optimisation is considered as the problem of constructing feasible business process designs with optimum attribute values such as duration and cost. This optimisation framework involves the application of a series of Evolutionary Multi-objective Optimisation Algorithms (EMOAs) in an attempt to generate a series of diverse optimised business process designs for given requirements. The optimisation framework is tested to validate the framework's capability in capturing, composing and optimising business process designs constituted of web services. The results from the web business process optimisation scenario, featured in this paper, demonstrate that the framework can identify business process designs with optimised attribute values.