Knowledge-Based Project Planning (KBPP)

Project planning is a business process for successfully delivering one-of-a kind products and services under real-world time and resource constraints. We propose a knowledge-layer for existing tools supporting project planning; the core idea in this approach called knowledge-based project planning (KBPP) is to reuse cases containing pieces of project plans when creating new project plans.

Here are a few resources used in this project:

• A chapter of the book Knowledge Management and Organizational Memories describing the ideas for KBPP. Our proposal is based on two areas of research: (1) Automated hierarchical (HTN) planning systems developed by artificial intelligence (AI) researchers (Erol, Hendler & Nau, 1994) and (2) knowledge management (KM), which advocates reusing previous problem solving and decision making experiences to improve organizational processes (Davenport 1998; Liebowitz, 1999).

• A paper describing a first implementation of KBPP on top of a comercial tool and how cases can be acquired automatically. The Sixth European Conference on Case-based Reasoning (ECCBR-02). (nominated for best research paper award)

• Reddy Mukkamalla's master thesis on the same topic.

• A paper describing case base maintenance issues on KBPP. Published at The Fifth International Conference on Case-based Reasoning (ICCBR-03).

• A paper describing an extension of JTMS technology for quickly recovering from planning condition changes resulting from the application of CBR technology on a commercial KBPP tool. Published at The Fifth International Conference on Case-based Reasoning (ICCBR-03).

• A paper describing an a complete prototype built on top of MS Project (IAAI-04).

Last updated: Mon July 3 14:49:51 EST 2006