The
Customer Centric Enterprise: Advances in Mass Customization and Personalization
Mitchell M. Tseng and Frank T. Piller |
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There is a growing trend to
sell many types of consumer products through the web in order to maintain
or enhance a company's competitiveness, and sometimes to establish a niche
market. For products such as footwear however, manufacturers are facing
quite a challenge to provide consumers with good fitting shoes. Footwear
fitting is generally performed using the two variables of foot length
and foot width (or girth), even though feet and shoes are three-dimensional
objects. As a result, the matching between feet and footwear are quite
variable and can be quite unacceptable even with the same brand of shoes.
Footwear fitters speak of "perfect fit" and more commonly a
"proper" or "correct" shoe fit even though the term
"fit" appears to be nebulous. This chapter is an attempt to
quantify and categorize footwear fit. Using digital manipulations, the
foot shape was "adjusted" to the required heel height. The last
and foot were then mapped to each other to determine the level of match
and mismatch. The magnitude of the match or mismatch was color-coded and
overlaid on the foot surface so that such color maps can be used to determine
subjective preferences. The proposed footwear fit quantification can be
used to predict potential discomfort and even fit-related comfort, if
the material properties of the shoe are known. The method can also be
used to rank different footwear lasts for any given individual.
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Springer
2003 ca. 535 p. 168 illus. ISBN 3-540-02492-1 |
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