Knowledge and Learning Strategies

1
Modelling Product Assortment Dispostions

• Background How can we know the dispositions of
  our product assortment?
• Establishing a product assortment the product
  developer determines the dispositions for the
  entire life cycle of the products, and he has to
  evaluate the consequences in each life cycle
  system
• Scattered information of dispositions effect of
  individual products from biased stakeholders does
  not provide the overview
• Database figures and various analysis provides
  huge amounts of information, but little help in
  recognising what is important and what is not and
  how to combine the information and draw
  conclusions
• This lack overview limits the solution space
  and inhibit decisions making, because the
  developer is insecure of the disposition effect
  of his or her solution

Planning
Design
Purchase
Production
Service
Impact Model
Quality of Product Architecture
Multi-Product Production Performance
Multi-Product Development Performance
Succes criterias
Goal Better multi-product development and
production performance by improving disposition
identification and ease modelling work of product
architectures
Ability of Aligning Products / Production Set up
Quality of Decision Making
Measurable criterias
Ease of Prioritising Dispositions
Research Questions 1 How and in which
categorise product assortment dispositions be
identified? 2 How can the dispositions be
modelled? 3 Which input data and analyses
are needed and how can they be combined to
determine the most important and critical
dispositions? 4 How can dispositional
knowledge be integrated in the multi-product
development process?
No. of Solutions
Ease of Modelling Dispositions
Quality of Effect Insight
ID Modelling Support Tool
Quality of Disposition Identification
Ability of Combining Analyses
Quality of Analyses
Experienced Stakeholder Involvement

• Expected Results
• A procedure for identifying dispositions
• A disposition modelling tool

Quality of accessible data
Theoretical Foundation
Engineering Design
Decision Theory
Trade-off analysis
Design Process
Manufacturing
Theory of Dispositions
Cost Driver Analysis
Knowledge and Learning Strategies
Modelling Theory
DFX
Value Stream Analysis
Supply Chain Analysis
Communication
Life Cycle Analysis
Product Program Dispositions
Information Description and Use
Architecture and Platform Description
Portfolio Management
Contibution
Planning
Multi-Product Development
PDM
Company Organisation
Systems Engineering
Importance
PhD project for Lone Munk Department of
Mechanical Engineering Technical University of
Denmark Supervisor Niels Henrik Mortensen