Design and Implementation of Software Based Project Management System

Abstract: Last century recorded fundamental changes in the way organizations work and this was driven by the desire to optimize performance and profitability. New information technology enables the ability to facilitate this revolution because it provides solution to one of the key business barriers, such as detailed information planning, organizing and controlling of allocated resources to accomplish project cost and time. Project management (PM) is the systematic planning, organizing, controlling, co-ordinating and directing allocated resources to accomplish project cost and time. The project management process starts with the project approval. It consists of sub-processes of project start, co-ordination, controlling, discontinuity, management and close down. Projecting from this work, discoveries are targeted at the following understandings concerning; what is project management(PM), traditional methods of PM, types of PM, problems associated with PM, the benefits of using modern PM, techniques and the Design of a computerized project management software. These project management software programs help managers monitor the daily development of a project in a systematic fashion and see to it that they are running on schedule. C SHARP(C#) was used to design a computerized project management system and simulated using the Visual Studio IDE as the test bed

Agent Based Markov Chain for Job Shop Scheduling and Control: Review of the Modeling Technigue

ABSTRACT Owing to its impact on the industrial economy, the job shop scheduler and controller are vital algorithms for modern manufacturing processes. This paper is concerned with the review of the modeling of agent based markov chain for job shop scheduling and control. The work adopts an alternative view on job-shop scheduling problem where each resource is equipped with adaptive agent that, independent of other agents makes job dispatching decision based on its local view of the plant. Given the fact that agent based modeling is proven to be an effective way of modeling complex systems that are not easy to characterize analytically, this work is focused on addressing the JSP by developing an agent based model in which all information of the dynamics of the model is formulated as a Markov chain