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Sunday, May 3, 2020 | History

2 edition of A simulation comparison of methods for new product location found in the catalog.

A simulation comparison of methods for new product location

by Jerrold H. May

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  • 4 Currently reading

Published by College of Commerce and Business Administration, University of Illinois at Urbana-Champaign in [Urbana, Ill.] .
Written in English


Edition Notes

Includes bibliographical references (p. 29-31).

StatementJerrold H. May, Allan D. Shocker, D. Sudharshan
SeriesBEBR faculty working paper -- no. 1016, BEBR faculty working paper -- no. 1016.
ContributionsShocker, Allan D., Sudharshan, Devanathan, University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
The Physical Object
Pagination31 p. :
Number of Pages31
ID Numbers
Open LibraryOL25105303M
OCLC/WorldCa742053204

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Product Costing for Standard Costing. To remain competitive in a changing business environment and to reduce the costs that are passed along to the consumer, companies must be aware of all aspects of their business and look for ways to refine operations to reduce lead times, expedite speed to market, and reduce the cost of operations. There is not enough time to try-out new products in reality, and correcting mistakes, once they have occurred, is often extremely costly. Common uses of modeling and simulation: Financial Planning, quantifying the impact of business decisions on balance sheet and P&L.


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A simulation comparison of methods for new product location by Jerrold H. May Download PDF EPUB FB2

Four algorithms for locating an “optimal” new product in a multiattribute product space—Albers and Brockhoff's PROPOPP; Gavish, Horsky, and Srikanth's Method IV; May and Sudharshan's PRODSRCH; and GRID SEARCH—are compared in terms of the relative share of preferences the new product will capture under different simulated market by: productspace—AlbersandBrockhoff'sPROPOSAS;Gavish,Horsky,andSrikanth's Method IV; theauthor'sPRODSRCH;and GRIDSEARCH — are compared intermsof relative shareof preferencesunderdifferentsimulatedmarketenvironments.

A Simulation Comparison of Methods for New Product Location. By D Four algorithms for locating an “optimal” new product in a multiattribute product space—Albers and Brockhoff's PROPOPP; Gavish, Horsky, and Srikanth's Method IV; May and Sudharshan's PRODSRCH; and GRID SEARCH—are compared in terms of the relative share of preferences.

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