Presentazione di PowerPoint

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Industrial Forum on Evolving Value Chains
Rome, December 1st 2003
G. Fantoni (co-authors G. Santoni, C. Taviani,
F. Vezzi) Synergies between Engineering
Solutions in QFD Analysis
University of PisaDepartment of Mechanics,
Nuclear and Production Engineering
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Table of Contents

• Involved Institutions
• The aim of the project
• Synergy definition
• The problem of evaluating Synergies in QFD
• The proposed algorithm
• The the Intier case

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Involved Institutions
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QFD as strategic tool in RD
Advanced knowledge about the methods
QS-9000  4.4 - Design Control
ISO/TS 16949
ISO 90012000
VDA booklet 6 Part 1 "Quality System Audit"- Rif.
Quality Capability Supplier Volkswagen AG
Motivated and high skilled people
New concepts NOT only for a latch BUT for a car
door
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PRODUCER
Correlation Matrix
COMPETITORS
CUSTOMER
Product Engineering Requirements
Marketing Competitive Assessment
Relationship Matrix
Customer Requirements
Degree of Importance
How much
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The aim of the project
The aim is to a build and test a method that
takes into account the effect of concurrent
technical solutions in order to maximise the
product value and the customer satisfaction. An
algorithm of synergies management will be
presented as a proposal of solution. It allows to
rank the Engineering Solutions considering the
effect of first order synergies between each
couple of technical solutions. By comparing
the standard rank with the new one a lot of
attempts of optimisation could be done and new
hypotheses could be evaluated in order to exploit
the existing synergies between technical
solutions, to highlight the areas with a higher
value.
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Synergy Definition

• Synergy From Greek sunergeia, cooperation, the
  combined power of a group of things when they are
  working together that is greater than the total
  power achieved by each working separately.

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Synergies in QFD
Synergy in QFD means that the simultaneous
development of two technical synergic solutions
leads to The existence of synergies among
Technical Characteristics depends often on the
solutions the producer wants to implement. In
order to design a product with specific
characteristics, the producer can chose different
alternatives or Engineering Solutions.

• Fulfil more customers needs than those satisfied
  by the two separated solutions,
• Greater customers satisfaction because of the
  synergy,
• Decrease the cost of implementation. The cost to
  implement two synergic solutions together is less
  than the sum of the two single solutions costs.

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First Deployment Chart
PRODUCER
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a ik
Roof
aik is assigned comparing the synergies in terms
of

• Engineering
• Solutions

i
k
m

• Research and Development time,
• Results,
• Possibilities of crossing over between solutions,
  
• Absence of incompatibility among technical
  solutions.

Engineering Relationship Matrix
Critical to Qualitycharacteristics
Weights
n x m
n
Simple scores
Strategy ?
? Total calculated score
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Synergies management algorithm

• Where
• synergy(ERp,ERq) represents the synergic effect
  of the simultaneous development of two technical
  ideas.
• aik is extra value that could be obtained by
  implementing two different technical ideas at the
  same time. aik 0,1 - 0,5 - 0,9.

and
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Synergies management algorithm

• The above mathematics means

35 ? 35?pq3 lt 11
Crisp Sum
New score
Upper limit
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New Concepts for an Innovative Car Door
Matrix 20 x 36
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Critical to Quality Characteristics
Customers Needs
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Synergic Roof
0,9
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0,9 on the roof
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Comparison standard vs. new approach
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The the Intier case
CONVENTIONAL
O R I O N
2003
2008
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Conclusion
Even if the proposed method is based on a series
of hypotheses that can be criticized from the
chosen algorithm to the adopted conversion scale
between linguistic values and numbers, the aim of
this work is is to propose an easy algorithm that
takes into account the presence of concurrent
positive effects. The simplicity of the
algorithm has being pursued as the key for a
smooth and easy introduction of the method in a
fast and competitive environment, as the
industrial one, where analytical complication
often leads to internal resistance to the
application of the methodologies.
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ContactG. FantoniDepartment of Mechanics,
Nuclear and Production Engineering University
of PisaVia Bonanno Pisano 25b56125
PisaMobile 39.328.61.71.576Office
39.50.91.30.32email g.fantoni_at_ing.unipi.it
g.fantoni_at_email.it