@inproceedings{5857062532ed4ceb90d0bf0f9b8a505b,
title = "Stochastic management for randomly broken multi-channel servers for e-commerce applications",
abstract = "This paper presents the stochastic management methodology to determine the decision points in an e-commerce setting, specially online shopping. The system deals with the multi-server system with regard to the {"}shopping time{"} (or human factor) that is spent by the customer who wants to buy something online. This theoretical approach is more practical and realistic than the single-server system. Explicit formulas obtained demonstrate an easy usage of the main stochastic characteristics and the stochastic optimization of these objective function.",
keywords = "Multi-channel queue, Online shopping, Stochastic management, e-Commerce",
author = "Kim, {Song Kyoo}",
year = "2007",
doi = "10.1109/IEEM.2007.4419182",
language = "English",
isbn = "1424415292",
series = "IEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management",
pages = "214--218",
booktitle = "IEEM 2007",
note = "2007 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2007 ; Conference date: 02-12-2007 Through 04-12-2007",
}