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Published Articles >> Table of Contents >> Abstract
IEEE International Conference on Services Computing (SCC 2007)
pp. 294-299
Impact of Business Service Modes on Distribution Systems: A Reinforcement Learning Approach
Minmin Qiu, IBM China Research Laboratory
Hongwei Ding, IBM China Research Laboratory
Jin Dong, IBM China Research Laboratory
Changrui Ren, IBM China Research Laboratory
Wei Wang, IBM China Research Laboratory
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2007.69
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| Abstract |
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In this paper we identify several typical business service
modes in a general distribution system composed of a
single distributor and multiple retailers. For different
service models, the business process can be different and
each member of the distribution system may observe different
level of information. Each member makes decisions
to minimize its long-run-average cost or maximize its
profit. A reinforcement learning algorithm is applied to
obtain the decision policies and system costs. By comparing
the system costs in various business service modes, we
show numerically the impact of different business service
modes on the distribution system. The results provide
managerial insights into actual decision making in distribution
systems.
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 Additional Information
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Citation:
Minmin Qiu, Hongwei Ding, Jin Dong, Changrui Ren, Wei Wang,
"Impact of Business Service Modes on Distribution Systems: A Reinforcement Learning Approach,"
scc,
pp. 294-299,
IEEE International Conference on Services Computing (SCC 2007),
2007
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