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Concept Evaluation/Selection Dept. of Aerospace Engineering IIT Bombay AE 207 Introduction to Engineering Design.

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Presentation on theme: "Concept Evaluation/Selection Dept. of Aerospace Engineering IIT Bombay AE 207 Introduction to Engineering Design."— Presentation transcript:

1 Concept Evaluation/Selection Dept. of Aerospace Engineering IIT Bombay AE 207 Introduction to Engineering Design

2 Journey So Far Need/Mission statement/Design Brief Stakeholder Identification – Active, Passive Requirements capture, grouping & prioritization – Stakeholder needs Functional Decomposition Concept Generation – Number of alternate solution concepts attempting to satisfy the need

3 Next Step Decide which conceptual solutions are good potential candidates for further investigation/ product development –ALL ? –Some ? –One ? Concept Evaluation –Evaluation criteria –Compare generated concepts: strengths & weaknesses wrt criteria Concept Selection –Decision making: Eliminate, Retain, Combine, Modify –One Shot / Stages/ Iterative (?) –Final Selection Resources, Time, Risk, Policy, Culture

4 Difficulties/Issues Limited knowledge/data Conceptual solutions - Rough/abstract ideas Concensus among team members Other ??

5 Some methods External Decision – company chairman?, customer Product Champion – personal preference Voting – team concensus (subjective) Intuition – feel good factor Prototype & test – Expensive & time consuming Decision Matrices – relatively more objective

6 Process overview Initial filtering – qualitative, absolute comparison Quantitative screening based on decision matrix – Pugh Matrix –Prepare matrix –Rate concepts –Rank concepts –Combine/improve/retain promising concepts –Select one or more concepts Concept Scoring – similar steps, weighted scores, more refinement and advancement over Pugh matrix

7 Evaluation Criteria Extracted from stakeholder requirements Identify a few key requirements through prioritization –Primary, secondary, tertiary Level of abstraction/refinement of requirements must be consistent with concept abstraction/ refinement There is No Sense in Being Exact About Something if You Don’t Even Know What You are Talking About (John von Neuman, 1950)

8 Initial Filtering (absolute) (In case of large number of concepts) “Gut feel” feasibility judgment –Comparison made with prior experience (“design knowledge”) Concept will not work –Too radical –Not original Conditional feasibility – something else required Feasible - Worth considering Go - No go screening Customer requirements Technology readiness/maturity/availability

9 Pugh Matrix Select one concept as a reference or datum –Familiar, straightforward concept –Existing similar benchmark product in market –Existing product in case of re-design/ modification problem –Arbitrarily picked from the generated concepts Pair-wise relative rating of each concept vs datum for each criteria –Better than datum: + –Same as datum: 0 –Worse than datum: - Count number of pluses and minuses for each concept. Overall rating is difference between no. of pluses and no. of minuses. Rank the concepts based on overall rating

10 Pugh Matrix Structure Concepts Selection CriteriaABCDEFG Handling ease00-00-- Ease of use0--00+0 Readibility of settings00+0+0+ Metering accuracy0000-00 Durability00000+0 Ease of Manufacture+--00-0 Portability++00+00 Sum of +’s2110221 Sum of –’s0230121 Net rating 2-20121 Rank 1673233 Continue?YesNo CombYesCombRev

11 Concept Scoring Matrix Select one concept as a reference or datum –Best in Pugh Matrix Select weights for each criteria –Importance rating of each criterion: scale of 1 to 5 or %age with total = 100% etc. Relative rating of each concept vs datum for each criteria. Datum maybe different for each criterion –Much better than datum: 5 –Better than datum: 4 –Same as datum: 3 –Worse than datum: 2 –Much worse than datum: 1 –Finer scales (1 to 9) etc. may also be used. Weighted score for each concept – criterion pair Rank the concepts based on total score (sum of weighted scores) Combine/ Improve/ Retain concepts Select one or more concepts

12 Concept Scoring Matrix Structure Concepts Selection CriteriaADFEG+Weights RScorR R R Handling ease30.153 40.24 5% Ease of use30.4540.64 30.4515% Readibility of settings20.230.350.55 10% Metering accuracy30.753 20.530.7525% Durability20.350.7540.630.4515% Ease of Manufacture30.63 20.42 20% Portability30.33 3 3 10% Total Score 2.753.453.103.05 Rank 4123 Continue?NoDevelopNo

13 Selection process Generation Screening Scoring Selected

14 Additional Reading Product Design & Development, Ullrich & Eppinger – Chapter 7 The Mechanical Design Process, Ullman – Chapter 8


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