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一种食品采购的系统模型。

A systems model for food purchasing.

作者信息

Webster D B, Drogan R A, Wingard R M, Dillard C E

出版信息

J Am Diet Assoc. 1981 Mar;78(3):255-60.

PMID:7217581
Abstract

The approach taken in this paper of isolating seasonal characteristics of products and then using that information to determine when those products should be ordered to minimize the system's purchasing costs appears to be valid. A drawback to using this approach, however, is acquiring appropriate data. The authors used data which they believed to be appropriate for thier market purchasing environment but which are not necessarily valid for other locations and/or environments. The prospective user of this model must find and obtain data suitable for the environment and isolate those products which appear seasonal. Only a small percentage of the items used possess any seasonal properties. There is also the obvious problem of using past data to determine future outcomes. Past price patterns do not necessarily continue into the future, although they should be at least indications, barring unusual farm and/or market situations. As with all decision modeling approaches, however, this model should be followed with caution. While the approach is valid, the procedure is no substitute for knowledgeable management of food service functions. Results from the model should provide additional input to guide food purchasing decisions but should not be used unequivocably. When property used, however, this procedure will allow food buyers to come closer to the goal of optimally purchasing food products from a systems point of view then is currently possible.

摘要

本文所采用的方法,即分离产品的季节性特征,然后利用这些信息来确定何时订购这些产品以尽量降低系统的采购成本,似乎是有效的。然而,使用这种方法的一个缺点是获取适当的数据。作者使用了他们认为适用于其市场采购环境的数据,但这些数据不一定对其他地点和/或环境有效。该模型的潜在用户必须找到并获取适合该环境的数据,并分离出那些具有季节性的产品。所使用的商品中只有一小部分具有任何季节性特征。使用过去的数据来确定未来的结果也存在明显的问题。过去的价格模式不一定会延续到未来,尽管它们至少应该是一种指示,除非出现异常的农场和/或市场情况。然而,与所有决策建模方法一样,使用该模型时应谨慎。虽然这种方法是有效的,但该程序不能替代对食品服务功能的明智管理。该模型的结果应该为指导食品采购决策提供额外的依据,但不应被不加质疑地使用。然而,如果使用得当,这个程序将使食品采购人员从系统的角度比目前更接近最佳采购食品的目标。

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