Operational Scheduling with Business Modelling and Genetic Algorithms

摘要

#$%^&*AU2016200960B120161013.pdf#####Abstract Whether one is applying Project Management Body of Knowledge (PMBOK), Projects in Controlled Environment (PRINCE2) or Agile project delivery approach to their project / program / portfolio management, initial development and following maintenance of effective schedules is paramount to overall success of any initiative. Scheduling in complex and large problem domains is resource consuming and challenging. It becomes especially difficult when project conditions change often within relatively short time periods. Failure to timely respond to this change will results in all sorts of problems occurring in a given management space. This is a new planning and scheduling method which helps managers to address challenges they face in their day to day work. The proposed approach employs Business Modelling and Genetic Algorithms (GA).