DocumentCode
2840788
Title
Joint advertising and ordering strategies for perishable product with emergency ordering
Author
Wang, Tie
Author_Institution
Sch. of Manage., Shanghai Univ., Shanghai, China
fYear
2009
fDate
17-19 June 2009
Firstpage
2673
Lastpage
2678
Abstract
The emergency ordering plays an important role in the practical prouction and sale, and the newsvendor problem with advertising decision provides an important means to examine how operational problems interacts with marketing issues to influence decision-making at the firm level. When a newsvendor faces stochastic advertisement-sensitive demands, he has to make the advertising and inventory decisions before the demand is realized. In this paper, we combine the above two aspects to investigate the case in which advertising leads to increase in sales under general stochastic demand with emergency ordering. We assume the mean demand is strictly increasing and strictly concave in advertising premium and explore the optimal ordering and advertising decision´s properties and their comparative statics with the ordering cost, emergency ordering cost, sale price and salvage value.
Keywords
advertising; decision making; inventory management; order processing; pricing; stochastic processes; advertising decision; advertising premium; advertising strategy; decision-making; emergency ordering cost; inventory; marketing; mean demand; newsvendor problem; operational problem; ordering cost; ordering strategy; perishable product; sale price; salvage value; stochastic advertisement-sensitive demand; Advertising; Cost function; Decision making; Disaster management; Investments; Marketing and sales; Pricing; Stochastic processes; Uncertainty; Virtual manufacturing; Comparative Statics; Emergency Ordering; Marketing and Operations Interface; Newsvendor Model with Advertising;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195022
Filename
5195022
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