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ECE 2799 Value Analysis Determine an Optimum Solution by Prof. Mazumder Prof. Bitar Updated: 3/22/2016.

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Presentation on theme: "ECE 2799 Value Analysis Determine an Optimum Solution by Prof. Mazumder Prof. Bitar Updated: 3/22/2016."— Presentation transcript:

1 ECE 2799 Value Analysis Determine an Optimum Solution by Prof. Mazumder Prof. Bitar Updated: 3/22/2016

2 What is Value Analysis? “A systematic method of comparison for determining the option(s) that best meet a set of required or desired criteria.” “A systematic and critical assessment of every features of a product to ensure that the cost is no greater than is necessary to carry out the functions”

3 Needs Assessment & Problem Formulation Homework #1 Perform Market Research Brainstorm / Perform Technical Research HW#1 Needs Assessment & Problem Formulation Customer Requirements Product Specification Need / Idea

4 Abstraction & Synthesis Homework #2 Viable Options Preferred Solution HW#2 Abstraction & Synthesis Possible Solutions Perform Value Analysis Research Prior Art Brainstorm Apply Constraints

5 Value Analysis Steps To Evaluate Alternate Designs (1) Rank-order of design goals (2) Assign weighting factors to design goals (3) Rating factors to alternate designs (4) Decision Matrix

6 Value Analysis Example 1 Select a Computer System Design Goals: Performance, Minimum maintenance, Aesthetics, Minimum cost, Availability of parts, Ease of use, Versatilities, Portability Assign weighting factors to design goals: Categories of significance e.g. Critical (71-100), Important (31-70), Optional (1-30) Rating Factors of alternate designs: For example: Excellent (10), Good (8), Satisfactory (6), Mediocre (4), Unsatisfactory (2), Failure (0)

7 Value Analysis Example 1 Rank Ordering of Design Goals Evaluate Alternative Designs: (1) Rank-order design goals (2) Assign weight factors to design goals (3) Rating factor alternative designs (4) Decision Matrix Computer: Rank-ordering design goals Design Goals Performance Minimum Maintenance Aesthetics Cost Availability of Parts Ease of Use Versatility Portability Total Weight from total Team chosen Weight factor Performance 1 1 0.5 1 1 0 04.56480 Min. maintenance 0 1 0 0 0 0 011440 Aesthetics 0 0 0 0 0 0 00015 Cost 0.5 1 1 1 1 0 04.56480 Availability of parts 0 1 1 0 0 0 022945 Ease of use 0 1 1 0 1 0 034360 Versatility 1 1 1 1 1 1 17 100 0100 Portability 1 1 1 1 1 1 0 68695 Team categories:  Critical (71-100), Important (31-70),Optional (1-30)

8 Value Analysis Example 1 Decision Matrix Decision Matrix Alternate design Rating factors: 10=Excellent, 8=Good, 6=Satisfactory, 4=Mediocre, 2=Unacceptable, 0=Failure Design Goals --> Versatility Portability Performance Cost Ease of Use Availability of parts Minimum maintenance Aesthetics Total ( Decision Factor ) Weight Factors --> 1009580 60454015 Design AlternativesratingScoreratingScoreratingScoreratingScoreratingScoreratingScoreratingScoreratingScoreTotal Alternative 1770065708640756074209405624091353670 Alternative 24400328564806 742083609 4602845 Alternative 366007665972086404240627041605753370 Alternative 499006570756032406360627028081203100  Decision Factor = Weighting Factor x Rating Factor

9 Decision Matrix Valuable evaluation tool: View alternate designs in a thoughtful manner Prioritize goals Consider relative strengths/weaknesses Need to maintain high level of Objectivity Can be applied to select alternate designs, products, components and parts,

10 More Topics Examples Cell Phone selection Job Offer Selection Component Selection: Microprocessor ICs OpAmp Transistors Diode LEDs

11 Microcontroller Comparison by student Richard Speranza 2013

12 Generic Value Matrix (Spreadsheet)


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