Title :
Jointed Decision Model on Ordering and Pricing for a Short-Life-Cycle Product under Stochastic Multiplicative Demand
Author :
Liu, Bin ; Liu, Sifeng
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
This paper deals with the jointed decision question on ordering and pricing for a short-life-cycle product under stochastic multiplicative demand depended selling price. According to the marketing practices, which retailers sell their products in different periods with the different marketing policies, we depict the jointed decision question with a stochastic dynamic programming model from the view of the centralized system. Then, we prove that the expected profit function are concave on decision vectors respectively, and develop the decision method for ordering and pricing. Lastly, we design iterative search algorithm to find the optimal decision vectors.
Keywords :
dynamic programming; iterative methods; marketing; pricing; search problems; stochastic programming; decision method; decision vectors; iterative search algorithm; jointed decision model; marketing policies; marketing practices; selling price; short-life-cycle product; stochastic dynamic programming; stochastic multiplicative demand; Algorithm design and analysis; Dynamic programming; Educational institutions; Iterative algorithms; Partial response channels; Pricing; Stochastic processes; Stochastic systems; Supply chain management; Supply chains; Iterative Search Algorithm; Jointed Decision; Multiplicative Demand; Newsboy Model; Stochastic Dynamic Programming;
Conference_Titel :
Industrial Informatics, 2006 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9700-2
Electronic_ISBN :
0-7803-9701-0
DOI :
10.1109/INDIN.2006.275597