Journal of Shanghai University(Natural Science Edition) ›› 2019, Vol. 25 ›› Issue (5): 807-816.doi: 10.12066/j.issn.1007-2861.1995

• Research Paper • Previous Articles     Next Articles

Integrated dynamic inventory and pricing based on product lifecycle learning

Junjun GAO(), Yu CHEN   

  1. School of Sydney Institute of Language and Commerce,Shanghai University, Shanghai 201800, China
  • Received:2017-06-08 Online:2019-10-30 Published:2019-10-31
  • Contact: Junjun GAO E-mail:gaojunjun@shu.edu.cn

Abstract:

An integrated decision model of dynamic pricing and inventory is established by incorporating product lifecycle learning into demand management for fashion products. Suppose a retailer places an order with reference to the demand forecast made through product lifecycle estimation before the sales season. Then, in the sales process, product lifecycle learning is reflected in updating the real sales data. And based on the learning result, both the inventory replenishment decision and dynamic pricing decision are made. Specifically, this integrated decision model is used in a footwear supply chain for sensitivity analysis on initial selling and price elasticity, and the result shows that the decision model is an effective solution for fluctuation of demand in the supply of fashion products.

Key words: product lifecycle management, dynamic pricing, dynamic inventory decision, fashion product

CLC Number: