Research Presentation Day 2001

2. Research Presentation Day 2001 Design Process Re-Engineering through Performance Analysis Mark Haffey Ph.D. Student (Full Time) Supervised by Dr. Alex Duffy

3. Background Performance Measurement Research Approach Discussion/ Close Why measure Design Development Process Performance? • Management of processes/activities supported. • Communicate. • Control. • Recognise. • Measured representation of processes/activities. • Factual Decision Making. • Trends. • Improve/Optimise Process Performance. • Redesign. • Identify Strengths and Weaknesses

4. Background Performance Measurement Research Approach Discussion/ Close Weaknesses of Current Solutions • Advocate a balance of weightings and considerations and not reflecting organisational objectives. • Focus on the identification of performers (non-performers irrelevant?). • Lack the identification of change feasibility and sequence issues. • Lack an overall index and sub-indices. • Lack the quantification of relations. • Promote the application of pre-defined goals and intuitive measures. • Propose generic business frameworks (lacking dynamic nature).

5. Background Performance Measurement Research Approach Discussion/ Close Unresolved issues in Process Performance • Definition of strategic composition and deployment. • Goal orientated composition of metrics not defined. • Metrics applied erratically and intuitively. • Relationships not defined. • Retrospective not Prescriptive. • Specialisation and generalisation of measures (Meaning).

6. Background Performance Measurement Research Approach Discussion/ Close Research Aim To develop a methodology for Re-Engineering the Design Development Process through performance behaviour modelling

7. Background Model DD Process & Categorise Performance Metrics Performance Measurement Research Approach Discussion/ Close Research Approach – Stage 1

8. Background Goals/ Constraints Performance Measurement Effectiveness Design Development Process Research Approach Input Output Discussion/ Close Efficiency Battery of Metrics === === === Resources Battery of Metrics === === === Battery of Metrics === === === Design Development (DD) Process Performance (E2 Model)[O’Donnell]

9. Background Model DD Process & Categorise Performance Metrics Performance Measurement Analyse: Knowledge Discovery  Structures Research Approach Discussion/ Close Research Approach – Stage 2 ±2000 Metrics Collected Submitted Conference Paper to ICED 01 Feb.: Sub. Journal Papers to JPIM & JOM

10. Background Performance Measurement • Abstraction/Detailing Research Approach • Association/Disassociation Discussion/ Close • Generalisation/Specialisation G S Knowledge Discovery The process of discovering new knowledge or knowledge of interest such as patterns, associations, changes, principles or structures from data or information repositories.

11. Background Model DD Process & Categorise Performance Metrics Performance Measurement Analyse: Knowledge Discovery  Structures Research Approach Discussion/ Close DD Process Performance Behaviour Research Approach – Stage 3 Published Paper in AID ‘00 Published Paper in KIC ‘00 Paper Submitted to 1st PMW

12. Background Project Performance Measurement Research Approach Activities Discussion/ Close Design Development Process Performance

13. Background Model DD Process & Categorise Performance Metrics Performance Measurement Analyse: Knowledge Discovery  Structures Re-Engineering DD Process Research Approach Discussion/ Close DD Process Performance Behaviour Research Approach – Stage 4

14. Issues Erratically/Intuitively applied metrics Goal orientated structure Relationships Retrospective/Prescriptive Specialisation/Generalisation Strategic Composition Approach Composition of metrics under objectives Concept of Causality Statistical Analysis Past experience structures E2 Model Visualisation techniques identifying Importance Rating (priorities) Trends Non-Linearity Background Performance Measurement Research Approach Discussion/ Close Mapping Performance Issues to the Research Approach

15. Background Performance Measurement Research Approach Discussion/ Close Summary • Develop a methodology which extracts the supporting infrastructure (Meta-Knowledge) that enables Design Development process performance behaviour to be: • Acquired • Analysed • Categorised • Interpreted • Develop a means to manage and re-design process activities and architectures through an understanding of process performance behaviour. • Provide a powerful means to initiate ‘What if’ process design analyses based on generated knowledge of process performance behaviour.

16. Thank-you & Questions? Email: mark@cad.strath.ac.uk

18. Goals/ Constraints Kg (sub) Ki (sub) Ko (sub) Output Input Kr (sub) Kg (op) Ki (op) Ko (op) Kr (op) Resources What is Design Development (DD) ? (O’Donnell) Design (Actual) Design (Management)

19. Experiential Knowledge Transformers • Abstraction/Detailing • Association/Disassociation • Classification/Unification • Cluster/Ungroup • Derivation/Randomisation • Generalisation/Specialisation

20. Explicating Implicit Knowledge • Generalise knowledge • Generalise to various levels of abstraction • Develop heuristics • Evolve and develop relationships Manipulate/Transform/Restructure

21. Knowledge Representations Techniques Dependency Networks

22. Knowledge Representations Techniques Decision Tree

23. Knowledge Representations Techniques Neural Networks Equations Production Rules I1 O1 I2

24. What is Process Performance? Combined Dimensions of: Effectiveness and Efficiency E2 Model (O’Donnell)