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Titlebook: Inventory Control; Models and Methods Dieter Bartmann,Martin J. Beckmann Book 1992 Springer-Verlag Berlin Heidelberg 1992 Data Processing i

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樓主: memoir
11#
發(fā)表于 2025-3-23 10:19:42 | 只看該作者
Deterministic Inventory Models,J.M. KEYNES differentiated three motives for holding money which can be applied to inventory problems.
12#
發(fā)表于 2025-3-23 17:03:33 | 只看該作者
The Wilson Model with Poisson Demand,The POISSON PROCESS will be introduced as a preparation for the discussion of inventory models with stochastic demand. It goes back to BORTKIEWITZ who studied the number of officers in the Prussian Army who were killed by horse kicks.
13#
發(fā)表于 2025-3-23 20:13:10 | 只看該作者
14#
發(fā)表于 2025-3-24 00:05:57 | 只看該作者
https://doi.org/10.1007/978-3-642-87146-7Data Processing in Industries; Industrielle Datenverarbeitung; Inventory Control; Lagerhaltung; Stochast
15#
發(fā)表于 2025-3-24 03:34:09 | 只看該作者
Stochastic Single Period Models,me. In contrast to these are the periodic models. Stock inspection and/or orders are possible only at discrete points in time, i.e., at the beginning of a period. If nothing is explicitly specified, all periods are taken to be of the same length.
16#
發(fā)表于 2025-3-24 07:37:40 | 只看該作者
Stochastic Models with Continuous Review, the optimal order quantity D is the same as that in the deterministic model with a constant demand rate. D was obtained using the Wilson formula. The interpretation of the objective function C in the stochastic sense led to the method of state probabilities.
17#
發(fā)表于 2025-3-24 11:11:35 | 只看該作者
18#
發(fā)表于 2025-3-24 16:45:49 | 只看該作者
Inventory Control978-3-642-87146-7Series ISSN 0075-8442 Series E-ISSN 2196-9957
19#
發(fā)表于 2025-3-24 21:10:45 | 只看該作者
20#
發(fā)表于 2025-3-24 23:26:11 | 只看該作者
Book 1992completely explained in detailso that the reader will be able to optimally handle agivensituation with the help of the methods learned in this book,and2) aside from the models, strong emphasis is given onnumerical methods.Suitable algorithms are thoroughlyexplained for the more important cases.
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