2/24/2017 SAP ebook
IBP100
SAP IBP Overview
.
.PARTICIPANT HANDBOOK
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vii Course Overview 1 Unit 1: Introduction to Planning Processes 2 Lesson: Course Introduction 5 Lesson: Introduction to Integrated Planning 7 Lesson: Process Coverage and Planning Levels 11 Lesson: Benefits and KPIs improved 13 Unit 2: Introduction to SAP Integrated Business Planning 15 Lesson: Introduction to SAP Integrated Business Planning 16 Lesson: Modules Overview 20 Lesson: A Double Click on each of the Modules 29 Lesson: Challenges and Solutions 30 Lesson: The SAP Fiori Launchpad 33 Exercise 1: Personalize the SAP Fiori Launchpad 36 Lesson: Planning with Excel 41 Exercise 2: Create your IBP Connection with MS Excel 44 Lesson: Planning View Options 49 Exercise 3: Create a Favorite based on an existing Template 53 Lesson: SAP JAM Overview 54 Lesson: Example Network Overview 55 Unit 3: Demand Management 56 Lesson: Demand Management 57 Lesson: Introduction to IBP Demand 63 Lesson: Cleansing and Statistical Forecast 67 Exercise 4: Cleansing Historical Data 71 Exercise 5: Calculate Statistical Forecast 75 Lesson: Demand Planning Adjustments and Consensus 79 Exercise 6: Local Demand Plan Adjustments 81 Exercise 7: Global SOP Demand Plan Adjustments 85 Exercise 8: Use Analytics and Dashboards97 Unit 4: Inventory Optimization 98 Lesson: Inventory Optimization 100 Lesson: Introduction to IBP Inventory 101 Lesson: The Inventory Dilemma 103 Lesson: Demand and Supply Variability 106 Lesson: Inventory Components 107 Lesson: Inventory Optimization Process 111 Exercise 11: Validate data inputs 113 Exercise 12: Multi Stage inventory optimization 117 Exercise 13: What-if analysis 121 Exercise 14: Approve and update inventory plan 123 Exercise 15: Run and review inventory plan 127 Unit 5: Supply Planning 129 Lesson: Supply planning 130 Lesson: Introduction to IBP for Supply and Response 133 Lesson: Unconstrained Planning with SOP Heuristic 135 Exercise 16: Prepare your Supply Plan 139 Lesson: Capacity and Scenario Management 141 Exercise 17: Analyze the Capacity Utilization 143 Exercise 18: Scenario Management 146 Lesson: Constrained Planning with the Supply Optimizer 149 Exercise 19: Constrain the plan and analyze it 154 Lesson: Alerts and Analytics 155 Lesson: IBP for Response 159 Unit 6: Identify Issues in the Supply Chain 160 Lesson: Identify Issues in the Supply Chain 161 Lesson: Introduction to IBP Control Tower 165 Lesson: Out of the Box KPIs 166 Lesson: Analytics and Dashboards 170 Lesson: Case and Task Management 173 Unit 7: Collaboration with SAP JAM 174 Lesson: Collaboration with SAP JAM
Course Overview
TARGET AUDIENCE This course is intended for the following audiences: ● Project Stakeholder ● Application Consultant ● UserUNIT 1
Introduction to Planning
Processes
Lesson 1 Course Introduction 2 Lesson 2 Introduction to Integrated Planning 5 Lesson 3 Process Coverage and Planning Levels 7 Lesson 4 Benefits and KPIs improved 11 UNIT OBJECTIVES ● Introduce to the course ● Describe macro process and challenges in the supply chain ● Outline the process and the planning levels ● Understand the Benefits and KPIs improvedUnit 1
Lesson 1
Course Introduction
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Introduce to the course Course Introduction Figure 1: Course OverviewFigure 2: Scenario ● Demand planning: Needs to produce reliable forecasts as inputs to other planning processes. ● Supply Planning: Capacity scaling decisions, e.g. hiring more staff, contracting supplier capacity or sourcing raw materials with long lead times etc., need to take place well in advance, before the capacity constraint becomes a critical bottleneck for the supply. ● Balancing Demand and Supply in the mid-long-term is the core of integrated business planning. Lesson: Course Introduction
LESSON SUMMARY You should now be able to:
● Introduce to the course
Unit 1
Lesson 2
Introduction to Integrated Planning
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Describe macro process and challenges in the supply chain Introduction to Integrated Planning Figure 4: Unit 1 - Introduction to Integrated PlanningLESSON SUMMARY You should now be able to:
● Describe macro process and challenges in the supply chain
Unit 1
Lesson 3
Process Coverage and Planning Levels
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline the process and the planning levels Process Coverage and Planning Levels Figure 6: SAP Integrated Business Planning brings your supply chain planning processes together under one roofFigure 7: Integrated planning approach ensures decision making is integrated across the planning levels and functional areas ● VERTICAL INTEGRATION ● Aligning the plans across the planning levels ● Strategic planning sets the direction and targets for the levels below ● Tactical planning makes aggregated plans to meet strategic objectives, balance demand & supply and optimize resource and working capital utilization ● Operational planning translates the aggregate plans to detailed plans that are executed. Focus is on throughput, delivery performance and costs. ● Immediate feedback from execution to planning closes the loop ● HORIZONTAL INTEGRATION ● Aligning the plans across the supply chain functions ● For example: changes in demand are seamlessly reflected to distribution plan, manufacturing plan and all the way to the procurement plans ● Similarly, a constrained material supply situation will be reflected in manufacturing, distribution, and eventually sales. Unit 1: Introduction to Planning Processes
Figure 8: Supply chain planning processes can be categorized based on their level in the planning hierarchy
Figure 9: Planning processes can also be categorized based on the functional area that the planning is done for Lesson: Process Coverage and Planning Levels
Figure 10: Financial integration allows plans to be expressed in monetary figures as well as quantities
Figure 11: SAP Integrated Business Planning extends the principles of S&OP
LESSON SUMMARY You should now be able to:
Unit 1
Lesson 4
Benefits and KPIs improved
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Understand the Benefits and KPIs improved Benefits and KPIs improved Figure 12: A company can benefit from logistical complexity and volatility by gaining an advantage over their competitors ● Supply Chain Volatility ● In recent years, supply chains have become more volatile due to the following major geographic and demographic trends: ● Market power has shifted toward the end consumer, which was amplified by the financial crisis. ● Maturity of the millennia generation who require individualized products that are delivered immediately and purchased through new channels. ● Emerging middle class in the developing markets, which has resulted in a global rebalancing across geographies. ● Complexity of Growing Logistics RequirementsFigure 13: SAP Integrated Business Planning solution has helped companies achieve KPI and bottom-line improvements Figure 14: Summary LESSON SUMMARY You should now be able to: ● Understand the Benefits and KPIs improved Unit 1: Introduction to Planning Processes
UNIT 2
Introduction to SAP Integrated
Business Planning
Lesson 1 Introduction to SAP Integrated Business Planning 15 Lesson 2 Modules Overview 16 Lesson 3 A Double Click on each of the Modules 20 Lesson 4 Challenges and Solutions 29 Lesson 5 The SAP Fiori Launchpad 30 Exercise 1: Personalize the SAP Fiori Launchpad 33 Lesson 6 Planning with Excel 36 Exercise 2: Create your IBP Connection with MS Excel 41 Lesson 7 Planning View Options 44 Exercise 3: Create a Favorite based on an existing Template 49 Lesson 8 SAP JAM Overview 53UNIT OBJECTIVES ● Get an overview of the context of the unit ● Give an overview of the modules contained ● Get more information about every module ● Outline typical challenges and the IBP solutions ● Outline the SAP Fiori Launchpad ● Explain Planning with Excel ● Explain Planning View ● Give an Overview of SAP JAM ● Use the example network used in this course Unit 2: Introduction to SAP Integrated Business Planning
Unit 2
Lesson 1
Introduction to SAP Integrated Business
Planning
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Get an overview of the context of the unit Introduction to SAP Integrated Business Planning Figure 15: IBP100 - Introduction to SAP Integrated Business Planning LESSON SUMMARY You should now be able to: ● Get an overview of the context of the unitUnit 2
Lesson 2
Modules Overview
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Give an overview of the modules contained Modules Overview Figure 16: SAP IBP consists of five modules in a cloud-based platform running on SAP HANAFigure 17: SAP IBP's five modules cover the core supply chain planning functionality in one integrated platform
Figure 18: … it is a modern and flexible planning tool to enable businesses to cope with market volatility and complexity
Figure 19: How does SAP IBP fit into my supply chain? Unit 2: Introduction to SAP Integrated Business Planning
Figure 21: One harmonized data model allowing your organization to plan across 1 single data model Figure 22: IBP provides a unified user experience via its Web and Excel based user interfaces LESSON SUMMARY You should now be able to: ● Give an overview of the modules contained Lesson: Modules Overview
Unit 2
Lesson 3
A Double Click on each of the Modules
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Get more information about every module A Double Click on each of the Modules Figure 23: SAP Integrated Business Planning brings your supply chain functions together under one roofFigure 24: Supply Chain Control Tower ● ANALYZE KPIs ● Review KPIs to understand how supply chain is performing and to identify possible issues and required actions ● CHECK ALERTS ● Review alerts to quickly respond to situations where process is clearly not corresponding to normal/targeted limits (e.g. big changes in stock levels, forecast accuracy, service level, etc.) ● MANAGE CASES AND TASKS ● Leverage the built-in case and task management of IBP for resolving problems Lesson: A Double Click on each of the Modules
Figure 25: Supply Chain Control Tower Unit 2: Introduction to SAP Integrated Business Planning
● Finalize the consensus demand plan to be used as the starting point for the S&OP (unconstrained demand) ● Generate demand scenarios relevant for the S&OP (e.g. expected/high/low or event-based scenarios) ● SUPPLY REVIEW ● Review critical resources against demand ● Asses capacity scaling options ● DEMAND-SUPPLY BALANCING ● Develop initial feasible supply plan ● Develop What Ifs scenarios for breaching supply-demand gaps ● Analyze scenarios and financial impacts ● Prepare recommendations for executive meeting ● EXECUTIVE DECISION ● Run a structured S&OP meeting with cross-functional representatives to decide on the plan to follow ● Hand over the decisions to execution Figure 27: IBP for S&OP supports the fundamentals of the individual IBP modules to leverage the end-to-end S&OP process Lesson: A Double Click on each of the Modules
● As per the graphic above, we can see a strong integration between the processes. ● DURING THIS COURSE WE WILL TAKE YOU THROUGH THE S&OP EXERCISES AS PART OF THE DEMAND & SUPPLY MANAGEMENT PART OF THE COURSE. IT WILL CONSIST OF: ● Global demand review and consolidation ● Generation of an unconstrained plan with S&OP Heuristic ● Review of Capacity impact ● Simulation and Scenario management Figure 28: IBP for Sales & Operations Unit 2: Introduction to SAP Integrated Business Planning
Figure 29: IBP for Demand ● DATA PREPARATION ● Ensure all required master and transactional data is maintained and available ● DATA CLEANSING ● Remove the outliers from the history data that are likely to derail the statistical forecasting algorithm and produce a weaker forecast (e.g. special events not expected to repeat, stock-out situations, etc.) ● STATISTICAL FORECAST ● Generate a base line demand forecast by applying statistical algorithms to historical demand time series ● DEMAND SENSING ● Apply more advanced pattern recognition methods and forecasting based on multiple inputs (e.g. sales history and planned promotions) to improve accuracy of the short-term forecast ● MARKET INPUT ● Adjust the statistically generated forecasts based on the latest market intelligence and knowledge of the future. This input is usually collected from sales and marketing. Lesson: A Double Click on each of the Modules
Figure 30: IBP for Demand
Figure 31: IBP for Inventory Unit 2: Introduction to SAP Integrated Business Planning
● Simulate the effects of different stock holding alternatives ● APPROVE AND UPDATE INVENTORY PLAN ● Finalize safety stock decisions and make available as inputs to other planning processes (e.g. S&OP, operational planning) Figure 32: IBP for Inventory Lesson: A Double Click on each of the Modules
● For supply the demand and safety stock have been planned in for S&OP, Demand, Inventory or interfaced via HCP from APO or any other source. ● For response all information is collected via HCP from your ERP system. ● SEQUENCE DEMAND BY PRIORITY ● Step mostly used as part of the response planning to create short term prioritized feasible plan. ● CONSTRAINED PLANNING RUN ● Create a cost optimized plan for your short to mid term plan using IBP for Supply ● Create a short term priority based plan using IBP for Response ● SCENARIO Planning ● Simulate short term demand supply changes and understand the implications for your supply chain instantly. ● Simulate mid term changes in capacity or demand and review new suggested supply plan ● FINALIZE SUPPLY / RESPONSE PLAN ● Take more sound decisions with the help of documented Scenarios Unit 2: Introduction to SAP Integrated Business Planning
Unit 2
Lesson 4
Challenges and Solutions
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline typical challenges and the IBP solutions Challenges and Solutions Figure 35: The IBP modules provide solutions to different challenges in the supply chain ● Discussion (20 minutes): please come up with the key challenges in your supply chain and discuss them with the class LESSON SUMMARY You should now be able to:Unit 2
Lesson 5
The SAP Fiori Launchpad
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline the SAP Fiori Launchpad The SAP Fiori Launchpad Figure 36: The SAP Fiori LaunchpadFigure 37: Personalize the SAP Fiori Launchpad
Figure 38: Exercise 1: Personalize the SAP Fiori Launchpad
Unit 2
Exercise 1
Personalize the SAP Fiori Launchpad
You want to personalize the SAP Fiori Launchpad home page to collect the used application tiles under the group titled My Home 1. Add the Dashboard tile to the SAP Fiori Launchpad home page. 2. Add the Analytics tile to the SAP Fiori Launchpad home page.Unit 2
Solution 1
Personalize the SAP Fiori Launchpad
You want to personalize the SAP Fiori Launchpad home page to collect the used application tiles under the group titled My Home 1. Add the Dashboard tile to the SAP Fiori Launchpad home page. a) Open the Google Chrome browser. b) Open the SAP Fiori Launchpad using the URL and logon credentials provided by your instructor. c) Choose the user icon in the top left corner of the screen. d) Choose Edit Home Page. e) Click and drag the Dashboard tile and drop it on the My Home group. f) Select Done in the lower right of the screen to save your changes. 2. Add the Analytics tile to the SAP Fiori Launchpad home page. a) Choose the user icon in the top left corner of the screen. b) Choose Edit Home Page c) Click and drag the Analytics tile and drop it on the My Home group. d) Select Done in the lower right of the screen to save your changes.LESSON SUMMARY You should now be able to:
● Outline the SAP Fiori Launchpad
Unit 2
Lesson 6
Planning with Excel
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Explain Planning with Excel Explain Planning with Excel Figure 39: The Microsoft Excel Add-In ConnectionFigure 41: IBP toolbar functionality - Planning View
Figure 42: IBP toolbar functionality - Planning View
Figure 44: IBP toolbar functionality - Dashboard Alerts
Figure 45: IBP toolbar functionality - Master Data Unit 2: Introduction to SAP Integrated Business Planning
Figure 47: IBP toolbar functionality - Versions
Figure 48: IBP toolbar functionality - Advanced
Figure 49: IBP toolbar functionality - Web Client
Figure 50: IBP toolbar functionality - Template Admin
Figure 51: IBP toolbar functionality - Help
Figure 52: Exercise 2: Create your IBP Connection with Microsoft Excel Unit 2: Introduction to SAP Integrated Business Planning
Unit 2
Exercise 2
Create your IBP Connection with MS Excel
You want to logon to the SAP Integrated Business Planning add-in for Microsoft Excel in order to start navigating and working with the Hana data in Microsoft Excel. 1. Create the connection and key in a name “SAPIBP1 Unified Model”, server URL (same as used in exercise 1) and planning area SAPIBP1.Unit 2
Solution 2
Create your IBP Connection with MS Excel
You want to logon to the SAP Integrated Business Planning add-in for Microsoft Excel in order to start navigating and working with the Hana data in Microsoft Excel. 1. Create the connection and key in a name “SAPIBP1 Unified Model”, server URL (same as used in exercise 1) and planning area SAPIBP1. a) Open Microsoft Excel and choose the IBP tab. b) Choose the Log On Connection. c) Choose the ellipsis button to the right of the Connection field. d) Choose Create to create the connection and enter name “SAPIBP1 Unified Model”, server URL (same as used in exercise 1) and planning area SAPIBP1. e) Select OK to save your connection. f) Choose the relevant Connection Name, set the connection as default and choose OK. g) Enter User Name and Password (same as used for exercise 1)LESSON SUMMARY You should now be able to:
● Explain Planning with Excel
Unit 2
Lesson 7
Planning View Options
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Explain Planning View Planning View Options Figure 53: Planning ViewFigure 54: Planning View Time Settings
Figure 55: Planning View Planning Level Settings
Figure 56: Planning View Key Figure Settings
Figure 57: Planning View Layout Settings Unit 2: Introduction to SAP Integrated Business Planning
Figure 58: Planning View Filter Settings
Figure 59: Exercise 3: Create a Favorite based on an existing Template
Unit 2
Exercise 3
Create a Favorite based on an existing
Template
You want to see the S&OP Demand Review figures. A template has already been created by a key user in your company. Create your own planning view based on this template and save it as a favorite for easy access later with your own data selection. Note: Note that when the data values for the exercise include ##, replace ## with the number that the instructor has provided to you. 1. Create your own planning view using the template DP140 Global Demand Plan using the new view from template option. 2. Verify the time settings, planning levels and key figures selected against those in the table below.Category Field Entry Time Time Period Monthly
From Current Month To Current Month +12 Rolling Yes
Planning Level Product Family Selected Cust Region Selected Key Figures Statistical Forecast Qty Selected Local Demand Plan Selected Demand Planning Qty Selected Global Demand Plan Qty for
SOP
Unit 2
Solution 3
Create a Favorite based on an existing
Template
You want to see the S&OP Demand Review figures. A template has already been created by a key user in your company. Create your own planning view based on this template and save it as a favorite for easy access later with your own data selection. Note: Note that when the data values for the exercise include ##, replace ## with the number that the instructor has provided to you. 1. Create your own planning view using the template DP140 Global Demand Plan using the new view from template option. a) Open Microsoft Excel and choose the IBP tab. b) Choose the Log On Connection. c) Choose the relevant Connection Name and choose OK. d) Enter User Name and Password (same as used for exercise 1) e) In the IBP tab choose New View -> From Template f) In the Template field drop-down list choose DP140 Global Demand Plan and select Base Version as the Versions. g) Stay in this view for the next exercise step. 2. Verify the time settings, planning levels and key figures selected against those in the table below.Category Field Entry Time Time Period Monthly
Category Field Entry Global Demand Plan Qty for SOP Selected Consensus Demand Selected a) In the Time tab, Time Settings screen area, the time period automatically defaults to Monthly as per template settings. b) Choose the Planning Level tab to notice the selected attributes c) Choose the Key Figures tab to notice the selected key figures d) Stay in this view for the next exercise step. 3. Create a filter called Products ## for Product ID and choose values IBP-FG1-## and IBP-FG2-##. a) On the Filters tab, select Product ID in the Attribute field (select from the drop down list) b) Click on the selection box for Values and choose the Product IDs IBP-FG1-## and IBP-FG2-## from the drop down list. c) Choose OK d) Choose Add and name your filter Products ##. e) Select Add to save your filter. f) Click OK to view your planning view. 4. Create a filter for Resource ID with values 1010-Assembly ## and 1010-Pack ##. a) In the Planning View section, choose the drop down from the Filter and select Edit. b) Select Resource ID in the Attribute field (select from the drop down box) c) Click on the selection box for Values and choose the Resource IDs 1010-Assembly ## and 1010-Pack ##. d) Choose OK e) Choose Add and name your filter Resources ## f) Choose Add. g) Choose OK to view your planning view with your new filter. 5. Save your planning view as a favorite with the name DP Global View Lesson: Planning View Options
LESSON SUMMARY You should now be able to:
● Explain Planning View
Unit 2
Lesson 8
SAP JAM Overview
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Give an Overview of SAP JAM SAP JAM Overview Figure 60: SAP Jam Collaboration LESSON SUMMARY You should now be able to: ● Give an Overview of SAP JAMUnit 2
Lesson 9
Example Network Overview
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Use the example network used in this course Example Network Overview Figure 61: Supply chain network model used during the courseUNIT 3
Demand Management
Lesson 1 Demand Management 56 Lesson 2 Introduction to IBP Demand 57 Lesson 3 Cleansing and Statistical Forecast 63 Exercise 4: Cleansing Historical Data 67 Exercise 5: Calculate Statistical Forecast 71 Lesson 4 Demand Planning Adjustments and Consensus 75 Exercise 6: Local Demand Plan Adjustments 79 Exercise 7: Global SOP Demand Plan Adjustments 81 Exercise 8: Use Analytics and Dashboards 85 Exercise 9: Create Exception based Alerts 87 Exercise 10: Calculate and release Consensus Forecast 89 Lesson 5 Introduction to Demand Sensing 92 UNIT OBJECTIVESUnit 3
Lesson 1
Demand Management
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Get introduced to Demand Management Demand Management Figure 63: Unit 3 - Demand ManagementUnit 3
Lesson 2
Introduction to IBP Demand
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Describe IBP Demand Introduction to IBP Demand Figure 65: SAP Integrated Business Planning solution ● In this unit we will bring you through the main steps of the demand planning process in IBP for demand as well as the process of consoltidating and validating the global demand that would typically be done in IBP for S&OP.Figure 66: SAP Integrated Business Planning for demand Traditional demand planning and short-term demand sensing
Figure 67: What problems are we solving? Unit 3: Demand Management
Figure 68: …things rarely go exactly as expected on the demand side
Figure 70: Introduction to IBP Demand
Figure 71: SAP Integrated Business Planning for Demand: Vision Unit 3: Demand Management
Figure 72: Introduction to IBP Demand
Figure 74: Simplification - what we heard
LESSON SUMMARY You should now be able to:
● Describe IBP Demand
Unit 3
Lesson 3
Cleansing and Statistical Forecast
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Cleanse Sales history and calculate statistical forecast Cleansing and Statistical Forecast Figure 75: Exercise: Sales History CleaningFigure 77: Cleansing and Statistical Forecast Unit 3: Demand Management
Figure 79: "Predictive" and SAP Integrated Business Planning for demand
Figure 80: Exercise: Calculate Statistical Forecast
Unit 3
Exercise 4
Cleansing Historical Data
To create forecasts for the future you need data from the past, which usually means the sales history of a product from a certain time period. When the data is available, it can be checked for missing values and excludable incidents, and consolidated. The Demand Planning Process Expert checks and corrects the history manually 1. In the Excel UI, and use the first SAP template DP 110 Historical Data Cleanse. Make sure you have the two key figures Delivered Qty Adjusted and Delivered Qty ready for to be used Attribute Value Product ID IBP-FG1–##, IBP-FG2–## Customer ID 10100001, 17100001, 18100001 Location ID 3710 2. Change the figures in key figure Delivered Qty Adjusted and see how it overwrites the calculationsUnit 3
Solution 4
Cleansing Historical Data
To create forecasts for the future you need data from the past, which usually means the sales history of a product from a certain time period. When the data is available, it can be checked for missing values and excludable incidents, and consolidated. The Demand Planning Process Expert checks and corrects the history manually 1. In the Excel UI, and use the first SAP template DP 110 Historical Data Cleanse. Make sure you have the two key figures Delivered Qty Adjusted and Delivered Qty ready for to be used Attribute Value Product ID IBP-FG1–##, IBP-FG2–## Customer ID 10100001, 17100001, 18100001 Location ID 3710 a) Logon to Excel User Interface with the login credential supplied by your instructor b) Choose new view -> from template -> DP 110 Historical Data Cleanse c) In the tab Filter, choose the attribute Product ID, Customer ID and Location ID, and select you specific combinations as per below, and save the filter by pressing add Attribute Value Product ID IBP-FG1–##, IBP-FG2–## Customer ID 10100001, 17100001, 18100001 Location ID 3710 d) Press Add, and save it as Cleaning## e) Press OK to enter the view f) See that the Delivered Qty Adj is equal to the Delivered Qtye) See that the Delivered Qt. Adj is now again, equal to the Delivered Qty f) Close the planning view DP 110 Historical Data Cleanse
Unit 3
Exercise 5
Calculate Statistical Forecast
The purpose of statistical forecast is create an estimate of the future sales, based on historical patterns. The algorithm Single Exponential smoothing will be subject for the exercise 1. In the Excel UI, create a Favorite called Statistical Forecast using the SAP template DP 120 Statistical Forecast. 2. Run the statistical model by choosing the preconfigured Single Exponential Smoothing profile, to populate the key figure Statistical Forecast Qty. Use the data in the table below. Field Value Time period Weekly Planning Level Product ID, Customer ID, Location ID Forecast model to be used Single Exponential Smoothing UoM to ID EA Filter Product: IBP-FG1–##, IBP-FG2–## 3. Check the status of the batch job until the job is completed and view the results.Unit 3
Solution 5
Calculate Statistical Forecast
The purpose of statistical forecast is create an estimate of the future sales, based on historical patterns. The algorithm Single Exponential smoothing will be subject for the exercise 1. In the Excel UI, create a Favorite called Statistical Forecast using the SAP template DP 120 Statistical Forecast. a) Logon to Excel User Interface with the login credential supplied by your instructor b) Choose New View -> From Template and choose template DP 120 Statistical Forecast. c) Select the Filter tab to filter on your specific planning combinations using the saved filter Products##. d) Press OK to enter the view e) Choose Favorites -> Add to save your planning view as favorite Statistical Forecast. 2. Run the statistical model by choosing the preconfigured Single Exponential Smoothing profile, to populate the key figure Statistical Forecast Qty. Use the data in the table below. Field Value Time period Weekly Planning Level Product ID, Customer ID, Location ID Forecast model to be used Single Exponential Smoothing UoM to ID EA Filter Product: IBP-FG1–##, IBP-FG2–## a) In the Advanced group in the IBP add-in for Excel, choose Statistical Forecasting →Run b) In the Run Statistical Forecast Once dialog box, select the Customer ID, Location ID and Product ID c) Choose Time Period: Week.a) In the Advanced tab in the Microsoft Excel ribbon, select the Statistical Forecasting dropdown and choose Status. b) When Completed Close the dialog box. c) In the Data Input section, press refresh to update the values in the Statistical Forecast Qty key figure d) Close the planning view DP 120 Statistical Forecast Lesson: Cleansing and Statistical Forecast
LESSON SUMMARY You should now be able to:
● Cleanse Sales history and calculate statistical forecast
Unit 3
Lesson 4
Demand Planning Adjustments and Consensus
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Adjust Demand Planning Demand Planning Adjustments Figure 81: Exercise: Local Demand Plan AdjustmentsFigure 83: Exercise: Use Analytics and Dashboard
Figure 84: Exercise: Alerts for exception based planning Unit 3: Demand Management
Figure 85: Review in Financial Figures
Figure 86: Exercise: Calculate Consensus Forecast
Unit 3
Exercise 6
Local Demand Plan Adjustments
When Demand planners or Sales planners holds information that has not be incorporated into the statistical forecast, we need to do manual adjustments. The adjustments could be due to special event, promotions, etc. 1. Create a Favorite called Local Demand Plan using the SAP template DP 130 Local Demand Plan and your Products ## filter. 2. Notice that the Local Demand Planning key figure is equal to the statistical forecast key figure. For Product IBP-FG1-##, Customer 10100001, Location 1710, in the period 5 weeks from now change the value of the Local Demand Plan key figure to 400 and Simulate to see the result. Notice the the key figure Demand Planning Qty is locked for input, in this templateUnit 3
Solution 6
Local Demand Plan Adjustments
When Demand planners or Sales planners holds information that has not be incorporated into the statistical forecast, we need to do manual adjustments. The adjustments could be due to special event, promotions, etc. 1. Create a Favorite called Local Demand Plan using the SAP template DP 130 Local Demand Plan and your Products ## filter. a) Logon to Excel User Interface with the login credential supplied by your instructor b) Choose new view -> from template -> DP 130 Local Demand Plan c) Select the Filter tab and choose your saved filter Products## d) Choose OK to view your planning view. e) Select Favorites -> Add to save the planning view as Local Demand Plan. 2. Notice that the Local Demand Planning key figure is equal to the statistical forecast key figure. For Product IBP-FG1-##, Customer 10100001, Location 1710, in the period 5 weeks from now change the value of the Local Demand Plan key figure to 400 and Simulate to see the result. Notice the the key figure Demand Planning Qty is locked for input, in this template a) See that the Demand Planning Qty, and the Local Demand Plan Qty is equal to the Statistical forecast qty in each of the time buckets b) b. Change a value in the Local Demand Plan key figure, 5 weeks from now to 400 for Product IBP-FG1-##, Customer 10100001, Location 1710 c) Press Enter and notice the color of the cell changes to blue to indicate this value has been changed but not saved or simulated yet. d) In the Data Input tab in the Ribbon, Press Simulate -> Simulate(Basic) e) See that the Local Demand Plan values are copied to Demand Planning Qty overwriting the value. f) Since we have not saved the data – only simulated – we can go back to the starting point by refreshing the sheet. Pres refresh in the Data Input Ribbon and anser Yes inUnit 3
Exercise 7
Global SOP Demand Plan Adjustments
When Demand planners or Sales planners holds information that has not be incorporated into the statistical forecast, we need to do manual adjustments. The adjustments could be due to special event, promotions, etc. 1. In the Excel UI, and use the SAP template DP 140 Global Demand Plan 2. To start notice that the Demand Planning Qty key figure is equal to the Local Demand Plan Qty key figure. (Also notice that we now are at an aggregated Product Family / Customer Region / Month) 3. Change the value of the periods 3 Month from current date to 3000 EA in key figure Demand Planning Qty, and save it with Reason Code S&OP Demand adj. (Note that this has not been released to the next key figure yet) 4. Change to the template DP 141 Global Demand Plan Rev to see the financial figure in the Revenues tab. Simulate an increase in the price, resulting in an increased revenue. Save it with Reason Code S&OP Pricing adj.Unit 3
Solution 7
Global SOP Demand Plan Adjustments
When Demand planners or Sales planners holds information that has not be incorporated into the statistical forecast, we need to do manual adjustments. The adjustments could be due to special event, promotions, etc. 1. In the Excel UI, and use the SAP template DP 140 Global Demand Plan a) Logon to Excel User Interface with the login credential supplied by your instructor b) Choose new view -> from template -> DP 140 Global Demand Plan c) Filter on your specific planning combinations, using the saved filter Products ## 2. To start notice that the Demand Planning Qty key figure is equal to the Local Demand Plan Qty key figure. (Also notice that we now are at an aggregated Product Family / Customer Region / Month) a) Notice that we now are at an aggregated Product Family / Customer Region / Monthly level b) See that the Demand Planning Qty is equal to the Local Demand Plan Qty in each of the time buckets. 3. Change the value of the periods 3 Month from current date to 3000 EA in key figure Demand Planning Qty, and save it with Reason Code S&OP Demand adj. (Note that this has not been released to the next key figure yet) a) Change a value in the Demand Planning Qty. key figure 3 month from now, for Product family: FAMILY 100-HEADPHONE, and Customer Region: AMERICAS b) In the Data Input tab in the Ribbon, Press Save Data c) At Popup select the Reason Code S&OP Demand adj. and enter comment Adjustments of demand for AMS Zone on Headphones and press Save. d) See that the Demand Planning Qty. is now different from the Local Demand Plan Qty meaning that a global input overwrites the local demand forecast e) Close the planning view DP 140 Global Demand Plane) The key figure Demand Planning Rev. is calculated based in the Demand Planning Qty. multiplied with the Demand Planning Price f) Maintain the price for 100 in the key figure Demand Planning Price for all periods for all regions g) In the Data Input tab in the Ribbon, Press Save h) At Popup select the Reason Code S&OP Pricing adj. and enter comment Adjustments of Headphones price across all regions and press Save. i) See the Revenue Key figure has changed j) Close the planning view DP 141 Global Demand Plan Rev Lesson: Demand Planning Adjustments and Consensus
Unit 3
Exercise 8
Use Analytics and Dashboards
The purpose of this exercise is to show the how IBP enables analytics in the Fiori User Interface 1. Navigate to the Fiori UI and enter the Analytic app 2. Create a Line graph with Weeks on the X axis and Demand Planning Qty on the Y axis, and filtered on product Family: FAMILY 100-HEADPHONES. Save this Graph 3. Create a Dashboard by choosing the app Dashboards, and add your newly create analytic graph. Save the DashboardUnit 3
Solution 8
Use Analytics and Dashboards
The purpose of this exercise is to show the how IBP enables analytics in the Fiori User Interface 1. Navigate to the Fiori UI and enter the Analytic app a) Logon to the Fiori User Interface with the login credential supplied by your instructor b) Press the Analytics tile c) Press New Chart 2. Create a Line graph with Weeks on the X axis and Demand Planning Qty on the Y axis, and filtered on product Family: FAMILY 100-HEADPHONES. Save this Graph a) Choose Planning Area SAPIBP1 b) Choose Key figure Demand Planning Qty c) Group by Weeks and Product Family d) Choose the Graph type Line e) Press save, and call it ##Forecast overview 3. Create a Dashboard by choosing the app Dashboards, and add your newly create analytic graph. Save the Dashboard a) Go back by pressing the Home button b) Enter the dashboard tile c) Press Create new dashboard, under the dashboard drop-down menu d) Add your newly created analytic e) Press save, and name it DP Dashboard##Unit 3
Exercise 9
Create Exception based Alerts
The purpose of this exercise is to illustrate the IBP contains the functionality of exception based management. To trigger an alert, we need to trigger the exception rule 1. Navigate to the Fiori UI and see that an alert is present directly on the app Monitor Custom Alert 2. Enter the app and the see the alert. The alert should be in the same period as the one you increased to 3000EA in the Demand Planning Quantity key figure 3. Jump from the Alert monitor to ExcelUnit 3
Solution 9
Create Exception based Alerts
The purpose of this exercise is to illustrate the IBP contains the functionality of exception based management. To trigger an alert, we need to trigger the exception rule 1. Navigate to the Fiori UI and see that an alert is present directly on the app Monitor Custom Alert a) Logon to the Fiori UI with the login credential supplied by your instructor b) See that there should be at least one alert directly in the app Monitor Custom Alert 2. Enter the app and the see the alert. The alert should be in the same period as the one you increased to 3000EA in the Demand Planning Quantity key figure a) Enter the app, and see the alert in the left side of the screen. Look for the product family FAMILY 100-HEADPHONES-## b) Press the alert, and see the intelligence in form a graph and a table 3. Jump from the Alert monitor to Excel a) When you are in the Monitor Custom Alerts, and have choosen an alert. Press Go to Excel in the bottom right side, to jump from Fiori UI to Excel UI b) Log-in if not done automatically c) See the numbers d) Close the planning viewUnit 3
Exercise 10
Calculate and release Consensus Forecast
When the forecast has been agree upon, the next step is to copy the value into the key figure Consensus forecast which we can use for other planning purposes, e.g. S&OP planning 1. In the Excel UI, and use the SAP template DP 140 Global Demand Plan 2. Run the Copy Operator for key figure Demand Planning Qty to Global Demand Plan Qty for SOP (used for the S&OP planning) 3. Run the Copy Operator for key figure Consensus Demand Plan to Consensus Demand (used for Supply planning)Unit 3
Solution 10
Calculate and release Consensus Forecast
When the forecast has been agree upon, the next step is to copy the value into the key figure Consensus forecast which we can use for other planning purposes, e.g. S&OP planning 1. In the Excel UI, and use the SAP template DP 140 Global Demand Plan a) Choose new view -> from template -> DP 140 Global Demand Plan b) Filter on your specific planning combinations, using the saved filter Products ## 2. Run the Copy Operator for key figure Demand Planning Qty to Global Demand Plan Qty for SOP (used for the S&OP planning) a) In the Advanced group in the IBP add-in for Excel, choose Copy Operator →Run b) Choose the Planning Operator called, Copy Demand Planning Qty to Global Demand Plan Qty (SOP) c) Choose the saved filter Products ## d) Press next, and press Run e) To see the status, navigate to Advanced in the Excel ribbon, press Copy operator -> Status. Wait for completions f) Refresh the view from the Data input ribbon, and see that the values from Demand Planning Qty has been copied to key figure Global Demand Plan Qty for SOP 3. Run the Copy Operator for key figure Consensus Demand Plan to Consensus Demand (used for Supply planning) a) In the Advanced group in the IBP add-in for Excel, choose Copy Operator →Run b) Choose the Planning Operator called, Consensus Demand Plan Qty to Consensus Demand c) Choose the saved filter Products ## d) Press next, and press Run e) To see the status, navigate to Advanced in the Excel ribbon, press Copy operator ->LESSON SUMMARY You should now be able to:
● Adjust Demand Planning
Unit 3
Lesson 5
Introduction to Demand Sensing
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Explain Demand Sensing Introduction to Demand Sensing Figure 88: Introduction to Demand SensingFigure 90: Key Beneficiary of a Sensed Demand Plan
Figure 91: Effect of Demand Sensing (Before)
Figure 93: Planning Processes Impacted by Demand Sensing Illustration of the different planning horizons ● Demand Sensing creates a short-term demand plan. The reaction to this plan is not part of the IBP solution but is highly dependent on your industry, production boundaries, business strategy and overall possibility to react in short-term. E.g. ● Adjust deployment or transportation decisions ● →e.g. Decide on stock transfers (redistribution) from one DC to another for the finished goods in case you see short term regional shifts in demand ● Change your production sequence (if possible) in case you see high demand for specific products ● In the wholesale / distribution business, also material purchasing could play a role when it comes to demand sensing. ● →e.g. Rework your purchases from external and internal suppliers for easy to procure material. Unit 3: Demand Management
● Two types of Demand Sensing algorithms exist: ● Demand Sensing (Full) ● Demand Sensing (Update) ● Demand sensing is typically run daily. It is executed at product-location-customer level, and the sensed demand is created at the daily time granularity for the time horizon defined in the forecast model. ● Since the optimization processes can take some time and the optimized weights do not change much from one day to the next within a week, it is recommended to set the system to run the demand sensing (full) algorithm weekly and the demand sensing (update) on a daily basis. Figure 95: Summary Unit 3 LESSON SUMMARY You should now be able to: ● Explain Demand Sensing Lesson: Introduction to Demand Sensing
UNIT 4
Inventory Optimization
Lesson 1 Inventory Optimization 98 Lesson 2 Introduction to IBP Inventory 100 Lesson 3 The Inventory Dilemma 101 Lesson 4 Demand and Supply Variability 103 Lesson 5 Inventory Components 106 Lesson 6 Inventory Optimization Process 107 Exercise 11: Validate data inputs 111 Exercise 12: Multi Stage inventory optimization 113 Exercise 13: What-if analysis 117 Exercise 14: Approve and update inventory plan 121 Exercise 15: Run and review inventory plan 123Unit 4
Lesson 1
Inventory Optimization
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Describe the main functionality within SAP IBP for inventory Inventory Optimization Figure 96: Unit 4 - Inventory ManagementFigure 98: SAP Integrated Business Planning solution
LESSON SUMMARY You should now be able to:
● Describe the main functionality within SAP IBP for inventory
Unit 4
Lesson 2
Introduction to IBP Inventory
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Introduce to IBP Inventory Introduction to IBP Inventory Figure 99: Introduction to IBP Inventory ● The IBP for Inventory considers the following parameters to generate an optimal safety stock recommendation.Unit 4
Lesson 3
The Inventory Dilemma
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline the Inventory Dilemma The Inventory Dilemma Figure 100: The Inventory Dilemma ● So… what's the problem we're dealing with? It's actually pretty simple: Reality is not consistent. Reality means we're dealing with● IBP provides this, and IBP/I provides the consistent, reliable, OPTIMAL cost model so the RIGHT decisions can be made, around ● Do we handle variability and uncertainty by simply having inventory in stock? ● Do we handle this through the flexibility in manufacturing or logistics, or expedites? ● Do we require customer flexibility in Service levels (or make them wait)? ● The RIGHT answer is almost always a combination of the three - and only IBP with IBP/I can provide the optimal calculation and information needed to decide on where that balance resides for YOUR company. Figure 101: How Do We Set the Service Level? - The Optimal Level of Product Availability LESSON SUMMARY You should now be able to: ● Outline the Inventory Dilemma Unit 4: Inventory Optimization
Unit 4
Lesson 4
Demand and Supply Variability
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline demand and supply variability Demand and Supply Variability Figure 102: So in spite of all this Planning…Figure 104: … and suppliers are rarely perfect
Figure 105: Now take all those uncertainties… Unit 4: Inventory Optimization
Figure 106: …and multiply!
LESSON SUMMARY You should now be able to:
● Outline demand and supply variability
Unit 4
Lesson 5
Inventory Components
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Outline Inventory Components Inventory Components Figure 107: Inventory Components LESSON SUMMARYUnit 4
Lesson 6
Inventory Optimization Process
LESSON OBJECTIVES After completing this lesson, you will be able to: ● Describe the Inventory Optimization Process Inventory Optimization Process Figure 108: The Inventory Optimization process consists of 4 steps - supported by IBP for InventoryFigure 109: Inventory Optimization Process Unit 4: Inventory Optimization
Figure 112: Inventory Optimization Process
Figure 113: Exercises: Run and review inventory plan
Figure 114: Exercise: What-if analysis
Figure 115: Exercise: Approve and update inventory plan
Figure 116: Summary Unit 4: Inventory Optimization
Unit 4
Exercise 11
Validate data inputs
Inventory planning requires a number of data inputs. Before running inventory optimization algorithms it is important to ensure data inputs are in place and consistent.This exercise shows how to review some key data inputs. 1. In the Excel UI, create a Favorite called IO Inputs Demand using the SAP template IO Inputs Demand. 2. In your favorite IO Inputs Demand verify that data exists for locations 1710 and 3710 in key figures Demand Forecast, Demand Forecast Error CV , and Target Service Level for the products and customers in your planning unit. 3. In the Excel UI, create a Favorite called IO Inputs Production using the SAP template IO Inputs Production. 4. In your favorite IO Inputs Production verify that data exists for production plant 1010 in Production Lead Time, Production Lead Time Error CV, Production Minimum Lot Size ,and Production Incremental Lot Size populated for all sources in your planning unit. 5. Close your favorites IO Inputs Demand, IO Inputs ProductionUnit 4
Solution 11
Validate data inputs
Inventory planning requires a number of data inputs. Before running inventory optimization algorithms it is important to ensure data inputs are in place and consistent.This exercise shows how to review some key data inputs. 1. In the Excel UI, create a Favorite called IO Inputs Demand using the SAP template IO Inputs Demand.a) From the IBP ribbon in Excel, press New view → From Template -> and choose IO Inputs Demand from the template list.
b) In the Planning scope field choose planning unit## and press OK c) Choose OK to view the planning view.
d) Choose Favorites → Add to save your planning view as IO Inputs Demand e) Keep your favorite open for the next exercise step.
2. In your favorite IO Inputs Demand verify that data exists for locations 1710 and 3710 in key figures Demand Forecast, Demand Forecast Error CV , and Target Service Level for the products and customers in your planning unit.
a) Check that locations 1710 and 3710 have Demand Forecast, Demand Forecast Error CV, and Target Service Level populated for all products and customer groups 3. In the Excel UI, create a Favorite called IO Inputs Production using the SAP template IO
Inputs Production.
a) From the IBP ribbon in Excel, press New view → From Template and choose IO Inputs Production from the template list. .
b) In the Planning scope field choose planning unit## and press OK c) Choose OK to view the planning view.
d) Choose Favorites → Add to save your planning view as IO Input Production 4. In your favorite IO Inputs Production verify that data exists for production plant 1010 in
Unit 4
Exercise 12
Multi Stage inventory optimization
SAP IBP multi-stage inventory optimizer is an algorithm that calculates and recommends safety stock quantities for all the stocking nodes in the network. The difference with the traditional single-stage approach is that the algorithm considers the optimal allocation of stock among the connected nodes at the different network stages. This reduces the overall stock required in comparison with the isolated single-stage approach. Run Multi Stage inventory optimization 1. Create a planning view using the Template IO Review Plan 2. Check the values of the Recommended Safety Stock key figure and enter the current values in the table below Table 1:Location ID Product ID Current Week Week + 1 Week + 2 1710 IBP-FG1-##
IBP-FG2-## 3710 IBP-FG1-## IBP-FG2-##
3. Run the Global (multi-stage) inventory optimization in the Base Version 4. Check the optimization run status until it is complete. 5. Refresh the view and review the updated values of Key Figure Recommended Safety Stock by completing the table below. Table 2: Location ID
Product ID Current Week Week + 1 Week + 2
Unit 4
Solution 12
Multi Stage inventory optimization
SAP IBP multi-stage inventory optimizer is an algorithm that calculates and recommends safety stock quantities for all the stocking nodes in the network. The difference with the traditional single-stage approach is that the algorithm considers the optimal allocation of stock among the connected nodes at the different network stages. This reduces the overall stock required in comparison with the isolated single-stage approach. Run Multi Stage inventory optimization 1. Create a planning view using the Template IO Review Plana) From the IBP ribbon in Excel, press New view → From Template b) Choose the template IO Review Plan from the list.
c) On the Filter tab choose Product##. d) Press OK to view the data. e) Stay in this view for the next exercise step 2. Check the values of the Recommended Safety Stock key figure and enter the current values in the table below Table 1:
Location ID Product ID Current Week Week + 1 Week + 2 1710 IBP-FG1-##
IBP-FG2-## 3710 IBP-FG1-## IBP-FG2-##
3. Run the Global (multi-stage) inventory optimization in the Base Version
a) From the IBP ribbon in Excel, on the Advanced group, selectInventory Optimization → Run .
b) Identify your job based on the User field and check the Status. c) Press the Refresh button to update the status until Completed.
5. Refresh the view and review the updated values of Key Figure Recommended Safety Stock by completing the table below.
Table 2: Location ID
Product ID Current Week Week + 1 Week + 2
1710 IBP-FG1-## IBP-FG2-## 3710 IBP-FG1-## IBP-FG2-##
Unit 4
Exercise 13
What-if analysis
The inventory optimizer requires a number of input parameters in order to calculate the safety stocks. Such parameters are related to: target service level, forecast error, lead time, period between reviews. In this exercice you will be able to simulate the effect of service level and demand variability on the safety stock level. Sensitivity to target service level 1. Create a planning view using the template IO Simulate demand .2. Enter the previously calculated values for recommend safety stock for Product ID: IBP-FG1-## at Location 3710 in the table below
Location ID Product ID Current Week Week + 1 3710 IBP-FG1-##
3. Change the Key Figure Target Service Level from 0.95 to 0.90 for Product ID: IBP-FG1-## at Location: 3710 in current period.
4. Simulate the Global (multi-stage) inventory optimization
5. Review how values have changed for Recommended Safety Stock Key Figure VS Final Safety Stock Last Cycle (for IO) and enter the values in the table below.
Location ID Product ID Current Week Week + 1 3710 IBP-FG1-## Recommended Safety Stock 3710 IBP-FG1-## Final Safety Stock Last Cycle (for IO) 6. Refresh to get back to initial plan.
Unit 4
Solution 13
What-if analysis
The inventory optimizer requires a number of input parameters in order to calculate the safety stocks. Such parameters are related to: target service level, forecast error, lead time, period between reviews. In this exercice you will be able to simulate the effect of service level and demand variability on the safety stock level. Sensitivity to target service level 1. Create a planning view using the template IO Simulate demand .a) From the IBP ribbon in Excel, press New view→ From Template and choose the template IO Simulate demand
b) On the Filter tab choose filter Product## c) Press OK to view the planning view.
2. Enter the previously calculated values for recommend safety stock for Product ID: IBP-FG1-## at Location 3710 in the table below
Location ID Product ID Current Week Week + 1 3710 IBP-FG1-##
a) Check the previously calculated values for the Recommended Safety Stock Key Figure for Product ID: IBP-FG1-## at Location: 3710
3. Change the Key Figure Target Service Level from 0.95 to 0.90 for Product ID: IBP-FG1-## at Location: 3710 in current period.
a) At Location 3710 for Product ID IBP-FG1-## change the value in the first period from 0.95 to 0.90 and press Enter.
4. Simulate the Global (multi-stage) inventory optimization
a) From the IBP ribbon in Excel, on the Data Input group, select Simulate→ Global (multi-stage) inventory optimization
Location ID Product ID Current Week Week + 1 3710 IBP-FG1-## Final Safety Stock Last Cycle (for IO) a) After the optimization run is completed, review how values have changed for Recommended Safety Stock Key Figure VS Final Safety Stock Last Cycle (for IO) for Product ID: IBP-FG1-## at Location: 3710 6. Refresh to get back to initial plan.
a) From the IBP ribbon in Excel, on the Data Input group, select Refresh b) Your data is now reset to its initial situation