Title :
Joint optimization of pricing and ordering for two substitute products with a budget constraint
Author :
Linlin Zhang ; Zhong Yao ; Guoqing Zhang
Author_Institution :
Sch. of Econ. & Manage., BeiHang Univ., Beijing, China
Abstract :
This paper focuses on the revenue management by jointly optimizing pricing and ordering for two substitute products when the retailer has a budget constraint, which is different from most previous literatures where each feature has been addressed separately. We use the Lagrangian method of solving nonlinear programming with inequality constraint to get the optimal close-form solutions and provide numerical examples. Results show that higher substitutability leads to higher price and total revenue, and the change tendency of order quantity depends on the price. Extension to stochastic demand scenario is also discussed.
Keywords :
budgeting; nonlinear programming; pricing; Lagrangian method; budget constraint; inequality constraint; nonlinear programming; optimal close-form solutions; order quantity; pricing-ordering joint optimization; revenue management; stochastic demand scenario; substitutability; substitute products; Dynamic programming; Educational institutions; Joints; Optimization; Pricing; Programming; Stochastic processes; Budget constraint; Lagrangian relaxation; Nonlinear programming; Revenue management;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
DOI :
10.1109/ICSSSM.2014.6943417