Sage X3 自动计算 安全库存、 经济批量 等参数的功能

cs19801023

我的原来的一个同事后来做了一段时间Sage的Consulting Manager。她跟我说Adonix X3是套还不错的软件，功能比较齐全，不过挖掘的深度不够，但是对中小型企业来说是够用了。只是Sage对这套产品的定位有问题，Sales已经把这套产品做烂了。

红笛

谢谢老木的肯定。   

  放这么多图片，不过是怕人 说 胡乱忽悠， 有图证明 不是忽悠的。 难道不好么？？ 人家可是花了好多时间的。

更多资料： http://www.sagesoft.cn/bbs/ShowForum.asp?ForumID=1

moneygo

这上归真门子的软件？

szlcl

前天还参加了他们在苏州举办的X5的产品发布会

lsjf0341

不错

magiclight65

个人观点:实际工作中,是要尽量简化管理的.就说服务水平,那要看公司上层对这个概念的接受程度.实用性不是很高,底限就是:不要影响生产和交货.物料尽量本地采购,尽量做VMI和consign, 其他的不是很重要的物料,最小-最大已经可以管理很好了.只有极少的物料需要精细管理,这样就大大减少了工作量.安全库存的设定凭经验更好.用系统run,可能比较好应付稽核

icetea_cn

较真一下，大家注意一下，服务比率和安全存货因素之间的关系，95%对应的是2.06。如果按照概率的95%来查正态分布表的话，得到的数字应该是1.64

icetea_cn

没人关注呢，自己顶一下

numberandnet

一直关注，请你讲讲服务比率和安全存货因素之间的关系，哈哈

icetea_cn

1.        Types of service level
For inventory models we often refer to two types of service level:
Type I - The service level is defined as the probability of stocking out when there is an order event in the lead time. (Equivalently we can define it as the probability of not stocking out when there is an order event in the lead time).
Type II - The service level is defined as the percentage of demand that is not met from inventory, or equivalently, the percentage of demand that is met from inventory (also known as the Fill Rate).

Example
The example in the following table illustrates the interpretation of the service level:
Period        1        2        3        4        5        6        7        8        9        10
Expected demand        100        100        100        100        100        100        100        100        100        100
Units Short quantity        0        0        0        0        0        1        0        0        0        19
Units Short event        -        -        -        -        -        X        -        -        -        X
●     Total of Unit Short events:  2 -> Type I service =1 – (2 / 10) = 80%
●     Total of Unit Short quantities:  20 -> Type II service level =1 – (20 / 1000) = 98%


2.        Why we should select the Type II as the service level
A Type I service objective is appropriate when a shortage occurrence has the same consequence independent of its time or amount. One example would be where a production line is stopped whether 1 unit or 100 units are short. The presupposition of this service, i.e., the same consequence ignoring the time or amount of a shortage occurrence, is not satisfied for most business scenarios. Also, as different items have different cycle lengths, this measure will not be consistent among different products, making the proper choice of this type difficult.

The term Fill Rate is often used to describe Type II service level, and is generally what most managers mean by service level. And the type is applied in most supply chain planning and inventory management products.


3.        How to calculate the Safety Factor based on Type II Service Level (i.e., Fill Rate)



Using the above formula, you can get the L(z) via the Fill rate, and then get the Safety Factor z from the normal distribution table based on the calculated L(z).

[ 本帖最后由 icetea_cn 于 2008-8-20 14:57 编辑 ]