Titlebook: Decision Criteria and Optimal Inventory Processes; Baoding Liu,Augustine O. Esogbue Book 1999 Springer Science+Business Media New York 199

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啟發(fā)

人類學(xué)家

Minimax Solutions of Economic Criterion Models, probability distribution. This was the case with the models discussed in the previous chapters. As a departure, Scarf[132] considered a one-stage inventory model in which only the mean and deviation of the distribution are assumed to be known. Scarf[132] then proved that an optimal inventory policy

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別炫耀

Multistage Game with Probability Criterion,ed by Liu[93]. In this chapter, we will restrict our attention to the maximin ordering policy of probability criterion models for inventory systems in which we maximize the minimum weighted sum of all probabilities that the inventory levels over their respective stages do not exceed some specified b

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Multidimensional Fuzzy Criterion Dynamic Programming,n as our vehicle, the open inventory network. This is an instructive framework for treating problems typified by stochastic multi-location inventory systems as well as multi-reservoir operations. The objective of the model is to maximize the expected fuzzy criterion function of the product of fuzzy

ensemble

Further Research and Extensions,limited success in application. This is, in part, attributable to the use of model parameters which are usually difficult to estimate or measure. Examples of such parameters are the shortage cost and inventory carrying or holding cost. Additionally, the classic inventory theory literature is almost