Panagiotis Barlas

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Discrete Event Simulation (DES) is traditionally one of the most popular operation research techniques. Nevertheless, organizations, and especially Small and Medium Enterprises (SMEs), are often reluctant to invest in DES projects. The lack of flexibility, high cost of developing and maintaining DES models, the high volume of data that these need in order(More)
(2015),"Model of acceptance of Web 2.0 technologies for increased participation in learning activities: A case study of a Scottish university", If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are(More)
Discrete Event Simulation (DES) is one of the most effective tools for planning, designing and improving material flows in production. One of the main weaknesses of operating DES is the exertion needed and costs spent on collecting and handling the input data from different organization's data resources. To tackle the problem of the time consuming input(More)
Input data management is a time-consuming and costly for Discrete Event Simulation (DES) projects. According to research studies, the input data phase constitutes, on the average, can account for over a third of the time of an entire simulation project. This paper presents a newly developed Open Source (OS) tool, called the Knowledge Extraction (KE) tool(More)
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