This is an applied research to propose the method for
price quotation for a contract electronics manufacturer. It has had a
precise price quoting method but such method could not quickly
provide a result as the customer required. This reduces the ability of
company to compete in this kind of business. In this case, the cause
of long time quotation process was analyzed. A lot of product
features have been demanded by customer. By checking routine
processes, it was found that high fraction of quoting time was used
for production time estimating which has effected to the
manufacturing or production cost. Then the historical data of
products including types, number of components, assembling
method, and their assembling time were used to analyze the key
components affecting to production time. The price quoting model
then was proposed. The implementation of proposed model was able
to remarkably reduce quoting time with an acceptable required
Draper, N. and Smith, H. (1981) Applied Regression Analysis, 2d
Edition, New York: John Wiley & Sons, Inc.
E. Shehab and H. Abdalla (2002), " An intelligent knowledge-based
system for product cost modeling," International Journal of Advanced
Manufacturing Technology, 19 (1), pp. 49-65
Efroymson, MA (1960) "Multiple regression analysis." In Ralston, A.
and Wilf, HS, editors, Mathematical Methods for Digital Computers.
H. Lan and Y. Ding, (2007) "Price quotation methodology for
stereolithography parts based on STL model," Computers & Industrial
Engineering, 52, pp 241-256.
M. EIHafsi (2000), " An operational decision model for lead-time and
price quotation in congested manufacturing system," European
Internatinal of Operation Research, 126 (2), pp355-370.
S.Devarajan and D.L. Santos (1999), "A product cost quotation system
for contract electronics manufacturers," SMTA international Proceedingf
of the Contract Manufacturing Symposium,San, Jose CA, pp35-46.
Wei, Y., and Egbelu, P.J (2000), "A framework for estimating
manufacturing cost from geometric design data," International Journal
of Computer Integrated Manufacturing, 13 (1), pp. 50-63.