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Titlebook: Hierarchical Decision Making in Stochastic Manufacturing Systems; Suresh P. Sethi,Qing Zhang Book 1994 Springer Science+Business Media New

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https://doi.org/10.1007/978-1-4612-0285-1Marketing; Markov; Markov chain; Martingale; calculus; decision making; model; optimization; production; stoc
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An attempt has been made to review the absorption, distribution, biotransformation, and excretion characteristics of .-lactam antibiotics. With the exception of organ and tissue distribution data, which are derived primarily from experimental animals, emphasis is on human pharmacokinetics, including the effects of disease.
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Suresh P. Sethi FRSC,Qing ZhangThe study of biochemical and genetic aspects of antibiotic production is of great interest because it casts light on the mechanisms of cellular differentiation. It is also important for two practical reasons: the improvement of production yields and the possibility of directing the fermentation process toward products with desired characteristics.
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A production and capacity expansion modelIn this chapter we study the problem of a manufacturing firm that must make decisions regarding production as well as investment in capacity expansion in order to minimize costs of investment, production, inventories, and backlogs in an uncertain environment. Problems dealing with production and marketing decisions are treated in the next chapter.
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Suresh P. Sethi FRSC,Qing Zhang the use of antibiotics to treat or prevent infectious diseases, are delineated. The reader interested in the specific use of single antibiotics and treatments of the various infectious diseases is directed to the vast specialized literature.
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Production-marketing systemslevel hierarchical decomposition. In this chapter we focus on the problem of a profit-maximizing production-marketing firm that must decide over time on the rate of promotional expenditures which create additional demand for its products and the rate of production in order to meet their demand.
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