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Strojniki vestnik - Journal of Mechanical Engineering 54(2008)6, 385-397
Cognitive Product Development: A Method for Continuous Improvement of Products And Processes
Strojniki vestnik - Journal of Mechanical Engineering 54(2008)6, 385-397
UDC 658.5
Cognitive Product Development: A Method for Continuous
Improvement of Products And Processes
Wim Gielingh
Delft University of Technology, Faculty of Civil Engineering, The Netherlands
In current engineering practice, designers usually start a new project with a blanc sheet of paper or
an empty modeling space. As a single designer has not all knowledge about all aspects of the product, the
design has to be verified by other experts. The design may have to be changed, is further detailed, again
verified and approved, and so on, until it is ready. But only the final product, once it exists, will prove the
correctness of the design. Given the complexity of modern industrial products, the intermediate verification
and change processes require substantial time. This has a major negative impact on the development time
and costs of the product. Cognitive Product Development, as proposed here, approaches design as a scientific
learning process. It is based on a well known and successfully applied theory for Cognitive Psychology. In
stead of relying solely on the experiences of a single individual, CPD makes the combined knowledge of
multiple disciplines, acquired throughout the life of existing products, available through generic design objects.
CPD thus approaches design as the configuration of existing and verified knowledge. It is expected that this
accelerates the product development process and results in designs of higher quality and reliability without
affecting the creative freedom of the designer.
© 2008 Journal of Mechanical Engineering. All rights reserved.
Keywords: product development, cognitive engineering, continuous improvement, parametric
modelling
Paper received: 28.2.2008
Paper accepted: 15.5.2008
*Corr. Author’s Address: Delft University of Technology, Faculty of Civil Engineering, Section of Building
Processes, Stevinweg 1, 2628 CN Delft, The Netherlands, wgielingh@tiscali.nl
1 INTRODUCTION
1.1 The High Costs and Risks of Product
Development
The development of complex systems such
as buildings, plants, infrastructures, off-shore
structures and aircrafts, has a high risk of budget
and time overruns. In the construction sector, for
example, budget overruns between 10% and 30%
happen frequently. But overruns of 80% or more
are not exceptional [9]. Also the aerospace,
automotive and railway industries are often plagued
by serious budget and time overruns. These costs
and risks make many enterprises reluctant with the
introduction of new products or the investment in
new projects.
Although many different factors may
contribute to these overruns, two factors appear to
be essential for most cases: (1) problems caused
by high complexity, and (2) the unpredictability of
consequences of ‘new’ knowledge.
The complexity of a system can be defined
as the total number of interactions or
interdependencies between components of a
system [13]. Complexity depends on the number
of components, but tends to grow more than
proportional to this number. Also the number of
interaction- or dependency-types may increase
complexity. Examples of interaction types are
mechanical interaction (such as mechanical
fixation), electrical-, chemical-, and control
interaction. If a system has n components and i
interaction-types, it may have maximally i
.
n
.
(n-
1) interactions with other components.
Complexity can thus be reduced by reducing the
number of components or by reducing the
number of interactions or dependencies. The
latter can be accomplished by modularizing a
design such that each module behaves as a ‘black
box’ that has minimum interactions with its
environment.
On the other hand, the trend towards ‘mass-
customization’, i.e. the offering of client specific
solutions based on a generic design, increases
product complexity because designers have to keep
all variant-solutions and their consequences in
mind.