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Qing Zhang
Associate Professor of Mathematics
Creative Research
Medal 2000
Qing Zhang and his team have developed a new mathematical theory
to assist manufacturers in optimizing production. The research
focuses on stochastic manufacturing systems, which will experience
random events that affect production such as changes in market
demand, employee strikes and machinery failure. Dr. Zhang’s theory
can help management anticipate and compensate for these events
while maintaining cost efficiency and profit. The theory includes
elements of hierarchical decision making (decisions whose impact
may be felt relatively quickly or much more slowly, and the people
who make those decisions), Markovian systems (decisions based on
a relatively recent experience versus past experiences), and changes
to those systems, as well as production and marketing rates, inventory
and other variables. His work combines mathematics, control engineering,
scientific computation and management sciences.
Source: 21st Annual Research Awards Program (2000)
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