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Mastering SAP IBP for Inventory Planning and Optimization | ZH
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Multi Echelon的力量
面向库存的 SAP IBP:配置和准备使用
介绍业务计划场景
2 min
处理不确定性的选项
1 min
检查属性和主数据类型
46 min
分析计划级别和关键指标
4 min
计划详细信息
12 min
库存全局配置参数
10 min
库存参数文件
20 min
Quiz
创建库存计划和优化流程
在销售和运营计划流程中定位面向库存的 SAP IBP
10 min
运行 ABC/XYZ 分段和时间序列分析
40 min
预测错误
1 hr 30 min
预测误差计算
25 min
供应提前期计算
20 min
库存计划员作为销售和运营计划流程中的关键角色。
10 min
Quiz
Multi Echelon的力量
总体 SAP Integrated Business Planning 优化器方法简介
40 min
正态分布与 Gamma 分布
4 min
需求传播
1 hr
敞口需求、供应可变性和服务可变性计算
40 min
通过示例的多阶段应用程序
1 hr 50 min
安全库存的其他驱动因素:服务级别、补货间隔期间、批量、交货类型和促销
1 hr 50 min
Quiz
验证输入
整体方法
30 min
确定时间变化需求的影响
3 min
组织供应时间可变性
18 min
确定时间变化需求的影响
9 min
计划提前期与即时补货
2 min
查看频繁和不常使用的关键驱动因素的影响
3 min
通过仪表盘和计划视图验证输入。
20 min
Quiz
运行库存优化运算符
计划运算符
22 min
确定多级网络
20 min
全局(多阶段)库存优化
37 min
安全库存限制
20 min
计算预测服务级别
20 min
计算目标库存构成
20 min
分解(单级)库存优化
20 min
诊断系统问题
20 min
Quiz
分析库存优化运行的结果
库存计划审核
30 min
供应链网络应用
9 min
库存分析功能
40 min
应用程序作业应用
10 min
计划结果
30 min
场景计划
10 min
Quiz
完成库存计划
网络资本分析和场景管理
8 min
完成库存计划
20 min
Quiz
面向库存的 SAP IBP:配置和准备使用
介绍业务计划场景
2 min
处理不确定性的选项
1 min
检查属性和主数据类型
46 min
分析计划级别和关键指标
4 min
计划详细信息
12 min
库存全局配置参数
10 min
库存参数文件
20 min
Quiz
创建库存计划和优化流程
在销售和运营计划流程中定位面向库存的 SAP IBP
10 min
运行 ABC/XYZ 分段和时间序列分析
40 min
预测错误
1 hr 30 min
预测误差计算
25 min
供应提前期计算
20 min
库存计划员作为销售和运营计划流程中的关键角色。
10 min
Quiz
Multi Echelon的力量
总体 SAP Integrated Business Planning 优化器方法简介
40 min
正态分布与 Gamma 分布
4 min
需求传播
1 hr
敞口需求、供应可变性和服务可变性计算
40 min
通过示例的多阶段应用程序
1 hr 50 min
安全库存的其他驱动因素:服务级别、补货间隔期间、批量、交货类型和促销
1 hr 50 min
Quiz
验证输入
整体方法
30 min
确定时间变化需求的影响
3 min
组织供应时间可变性
18 min
确定时间变化需求的影响
9 min
计划提前期与即时补货
2 min
查看频繁和不常使用的关键驱动因素的影响
3 min
通过仪表盘和计划视图验证输入。
20 min
Quiz
运行库存优化运算符
计划运算符
22 min
确定多级网络
20 min
全局(多阶段)库存优化
37 min
安全库存限制
20 min
计算预测服务级别
20 min
计算目标库存构成
20 min
分解(单级)库存优化
20 min
诊断系统问题
20 min
Quiz
分析库存优化运行的结果
库存计划审核
30 min
供应链网络应用
9 min
库存分析功能
40 min
应用程序作业应用
10 min
计划结果
30 min
场景计划
10 min
Quiz
完成库存计划
网络资本分析和场景管理
8 min
完成库存计划
20 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 8 right to pass this unit.
1.
What happens to the backlog when the internal service level goes up?
Choose the correct answer.
The backlog will go up as well.
The backlog will be reduced.
2.
What is an exposure period?
Choose the correct answer.
The exposure of within the standard deviation is equal to the lead time plus the periods between replenishment.
A period where we are protected against changes.
3.
Why is it important to consider time-varying targets?
Choose the correct answer.
Time refines the following calculations: safety stock and target inventory position. That is, time-varying safety stock is equal to the multiplication factor corresponding to the service level target, multiplied by the square root of the sum of each forecast error to the second power, until the exposure period is addressed. While time-varying inventory position is defined as the meet exposure forecast, plus the time-varying safety stock.
Time does not change anything within the calculations.
Time is only important if we are working with time-dependent key figures
4.
Does the forecast error calculation within SAP IBP for inventory support real scenarios?
Choose the correct answer.
No.
Maybe.
Forecast error calculation through the propagation considers all complexities of real worlds supply chains without simplifying assumptions.
5.
With fixed internal service level, what happens to backlog when exposure goes up?
Choose the correct answer.
The backlog will increase.
The backlog will be reduced.
6.
How does the forecast error can be modeled?
Choose the correct answer.
Chi function
Through an asymmetric or a symmetric gamma function; if symmetric, a normal distribution can be used
7.
What two important variables construct the foundation for the safety stock calculation?
Choose the correct answer.
1) Forecast Error; and, 2) Target Service Level
1) Normal distribution, 2) Fill rate
8.
How can the coefficient of variation be calculated?
Choose the correct answer.
Through the integration of third-party solutions and application of Excel formulas.
The CV calculation operator reads the forecast and sales signals, typically in weeks. However, SAP IBP for inventory is very flexible, and allows any bucket length including lead time. A multistage inventory optimization operator reads the standard deviation and the forecast in weeks to calculate the standard deviation as the multiplication of CV by the forecast.
We cannot calculate the coefficient of variation.
9.
What is the bullwhip effect according to the last lesson?
Choose the correct answer.
Small changes in actual customer demand can result in amplified, whip-like effects on upstream estimation of customer demand.
Big changes in actual customer demand can result in simplified, whip-like effects on downstream estimation of supply.
10.
How can we calculate the safety stock on single-stage scenarios?
Choose the correct answer.
Via Excel formulas that everyone can invent.
Safety stock can be calculated as the multiplication of a factor, corresponding to service level, by the forecast error, by the square root of the exposure period (lead time plus periods between replenishment).