OLADEJO Bolanle F .( Ph.D ) Department of Computer Science

1. Facilitating Decision making through Knowledge Capitalization of Maintenance Projects Management with KDD technique OLADEJO Bolanle F.(Ph.D) Department of Computer Science University of Ibadan, Ibadan. Nigeria.

2. Presentation Plan • Introduction • Theoretical background • Architecture of Projects’ Knowledge Capitalization (KC) System • Application of KC system Architecture to Project management in Maintenance department • Conclusion

3. Introduction The ultimate purpose of KC is to aid strategic decision making in organizations

4. Introduction – Project Management

5. Introduction - Indispensability of Knowledge Capitalization (KC) (Management) in Decision Making Decision making is one of the fundamental processes for any business. Organizations are filled with decision making at various levels Rather in maintenance projects, knowing who is working on what project? Who is supervising what project? The list of decision problems is endless. All managerial activities revolve around decision making. For managers to make decision, they need knowledge. An individual’s problem solving and decision making capability is limited by the knowledge available. Having knowledge available to decision makers is crucial to improving individual and organizational performance Therefore, we propose the application of KC to facilitate decision making task of managers in maintenance projects management 12

6. Theoretical Background - KM methodologies The goal of applying KM initiatives to an organization or problem domain will determine the choice of an appropriate KM methodology Culture Technology Organization Legal Social Network of professionals of common goals and mission Organizational goals must be understood to decide the purpose and approach of KC Knowledge repository, groupware, distributed agents Protection of knowledge or organization patrimony

7. Text Mining: A knowledge discovery Technique • Text mining, a knowledge discovery technique, is referred to as knowledge discovery from textual databases and as a process of extracting interesting and non-trivial patterns or knowledge from unstructured text databases • Our approach to text mining is cluster analysis which is based on extracting meaningful terms from documents. • Clustering approach requires grouping of documents into classes or clusters based on similar properties of documents (document-document similarity) and the use of threshold in order to accelerate the searching of relevant documents Griffiths Wade 76

8. Architecture of Knowledge Management system for maintenance project

9. Architecture of Projects Knowledge Management System • This work proposed generic architecture for KM of maintenance projects in order to model the appropriate KM system for project management tasks in a Maintenance department which would facilitate reuse of knowledge gained from previously completed works. • It shows that the central administrator initiates and oversees all projects allocated and sponsored by different funding bodies - (Educational trust fund (ETF), Internally Generated Fund (IGF) or Capital Projects (CP)). The central administrator assigns projects to supervisors in different units of the maintenance department (such as, water, electrical and road construction) and receives feedback on whether the project has been accepted or rejected by the supervisors.

10. Structure for Integrating KDD technique into KC of projects management • The high level structure depicts projects management KC system using clustering technique.

11. Modelling of KC system for Maintenance Projects’ Management • For the purpose of validating and implementing the KC structure for Maintenance Projects’ Management (MPM), we model the functional requirements of the KC system for MPM using Unified Modelling Language tool, specifically, Use case diagram. • Use Case Diagram for KC system for MPM For our KC system for MPM, the actors and their actions are enumerated below; while the Use Case model is depicted by figure 4.

12. Use Case Diagram for KC system for MPM 1. The system - Knowledge Capitalization for Project management system 2. The Actors -Admin -Supervisor -Staff 3. The Actions (use cases) -Set access privileges -Register new projects -Notifies Supervisor about project assignment -Write report -Monitor progress -Read project report -Read project statistics

13. Application of KC system Architecture to Project management in Maintenance department • The maintenance department of a Nigeria University is a department that is involved in construction, repairs and maintenance of school properties/facilities. • Major projects involve activities such as: construction of roads; installation of generators, air conditioners; repair of roads, electricity faults; and regulating of power supply.

14. Implementation of KC system for MPM Capitalization of Ongoing Projects Exploration of Ongoing and Completed Projects

15. Implementation of KC system for MPM

16. Conclusion • This system (MPM) both serves as a Knowledge Management system and a decision support system, and it has validated the goal of this work; that is, capitalization of vital information and knowledge of maintenance projects. • The KC architecture models a dynamic KM which abridges information loss and enhances effective projects management BENEFITS OF THE SYSTEM AS A VALUABLE KC TOOL: • Automating and documenting projects’ progress and final reports of previously completed projects; • Providing a medium of extracting only the needed information from a large set of information, and • An exploration platform for knowledge sharing among stakeholders; as well as tracking of project constraints by project managers amongst others.

17. QUESTIONS Thank you for your attention