Research Presentation Day 2001 Design Process Re-Engineering through Performance Analysis Mark Haffey Ph.D. Student (Full Time) Supervised by Dr. Alex Duffy
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
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).
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).
Background Performance Measurement Research Approach Discussion/ Close Research Aim To develop a methodology for Re-Engineering the Design Development Process through performance behaviour modelling
Background Model DD Process & Categorise Performance Metrics Performance Measurement Research Approach Discussion/ Close Research Approach – Stage 1
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]
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
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.
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
Background Project Performance Measurement Research Approach Activities Discussion/ Close Design Development Process Performance
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
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
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.
Thank-you & Questions? Email: firstname.lastname@example.org
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)
Experiential Knowledge Transformers • Abstraction/Detailing • Association/Disassociation • Classification/Unification • Cluster/Ungroup • Derivation/Randomisation • Generalisation/Specialisation
Explicating Implicit Knowledge • Generalise knowledge • Generalise to various levels of abstraction • Develop heuristics • Evolve and develop relationships Manipulate/Transform/Restructure
Knowledge Representations Techniques Dependency Networks
Knowledge Representations Techniques Decision Tree
Knowledge Representations Techniques Neural Networks Equations Production Rules I1 O1 I2
What is Process Performance? Combined Dimensions of: Effectiveness and Efficiency E2 Model (O’Donnell)