A Formal Model for Software Project Management
IEEE Transactions on Software Engineering
Coloured Petri Nets: a high level language for system design and analysis
APN 90 Proceedings on Advances in Petri nets 1990
Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
Scheduling of project networks by job assignment
Management Science
A new approach for multiple objective decision making
Computers and Operations Research
Identifying controlling features of engineering design iteration
Management Science
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Multi-Project Management in Software Engineering Using Simulation Modelling
Software Quality Control
Workflow Management: Models, Methods, and Systems
Workflow Management: Models, Methods, and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Project Portfolio Management (PPM) has become increasingly important in managing multiple projects simultaneously. However, during execution, the project portfolio is associated with considerable uncertainty that leads to resource contention among projects and schedule disruptions. Regarding the need to revise a schedule when unexpected events occur, we adopt an event-driven approach to develop a tradeoff decision framework for project portfolio scheduling and rescheduling. In the framework, High Level Petri nets, Activity-Based Costing and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are applied in sequence to generate feasible schedules, estimate their makespan and costs, and select the best compromise schedule. This framework is advantageous in the evaluation of scheduling performance from a multi-criteria perspective and the incorporation of both objective and subjective measurements in the decision process.