Inventory Planning and Optimization with SAP IBP

How much inventory is ideal? From setting service target levels and lead times to managing demand variability, learn to calculate and plan the best way to handle your inventory. Configure SAP Integrated Business Planning for inventory and model your supply network. Then optimize your inventory practices and measure your performance through KPIs, reports, and dashboards. Plan and control your stock levels with this all-in-one guide!

Highlights:

1) Master data
2) Planning areas
3) Supply network models
4) Replenishment
5) Lead times
6) Safety stock
7) Inventory types
8) What-if analysis
9) Integration
10) Implementation planning
11) Case studies

List of contents

... Preface ... 15

... Who This Book Is For ... 15

... How This Book Is Organized ... 15

... Acknowledgements ... 18

... Conclusion ... 19

1 ... Introduction to Inventory Planning and Optimization ... 21

1.1 ... What Is Inventory? ... 22

1.2 ... Where Is Inventory Held? ... 28

1.3 ... Building an Inventory Management Approach ... 29

1.4 ... Objectives of Inventory Planning and Optimization ... 34

1.5 ... Role of Technology in Inventory Planning and Optimization ... 36

1.6 ... Introducing SAP Integrated Business Planning ... 40

1.7 ... Summary ... 56

2 ... Understanding Inventory Variables ... 57

2.1 ... Primary Factors that Drive Inventory ... 57

2.2 ... Breakdown of Variability Drivers ... 75

2.3 ... Additional Factors that Influence Inventory ... 92

2.4 ... Summary ... 104

3 ... Configuring SAP IBP for Inventory ... 105

3.1 ... Architecture ... 105

3.2 ... Building Blocks ... 106

3.3 ... Planning Area Setup Using Predelivered Content ... 134

3.4 ... Versions ... 139

3.5 ... Scenarios ... 142

3.6 ... Planning Operators ... 143

3.7 ... Reason Codes ... 146

3.8 ... Data Integration ... 148

3.9 ... Planning Views ... 148

3.10 ... Dashboard and Analytics ... 153

3.11 ... Summary ... 156

4 ... Modeling a Supply Network ... 157

4.1 ... Introduction to Supply Networks ... 157

4.2 ... Supply Network Complexity ... 159

4.3 ... Elements of a Supply Network ... 164

4.4 ... Visualizing Supply Networks in SAP IBP ... 181

4.5 ... Summary ... 184

5 ... Optimizing Inventory in SAP IBP ... 185

5.1 ... What Is Network Inventory Optimization in SAP IBP? ... 185

5.2 ... Building Blocks for Inventory Calculation ... 187

5.3 ... Network Multiechelon Inventory Calculation ... 201

5.4 ... Summary ... 230

6 ... Structuring Inventory ... 231

6.1 ... Types of Inventory ... 231

6.2 ... Further Decomposition of Safety Stock ... 237

6.3 ... Calculating Inventory Components ... 241

6.4 ... Summary ... 251

7 ... Designing Your Inventory Planning Process ... 253

7.1 ... Centralized and Decentralized Inventory Planning Teams ... 253

7.2 ... Frequency of the Inventory Planning Cycle ... 255

7.3 ... From Reactive to Proactive Planner Tasks ... 257

7.4 ... Inventory Planning in Sales and Operations Planning ... 258

7.5 ... Sequence of Planning Tasks ... 260

7.6 ... Segmentation ... 270

7.7 ... Role of the Inventory Planner ... 272

7.8 ... Summary ... 273

8 ... Measuring Inventory Performance ... 275

8.1 ... Example Supply Chain for Inventory Planning ... 275

8.2 ... Key Performance Indicators for Inventory Optimization ... 279

8.3 ... Validate Input Quality ... 281

8.4 ... Review Inventory Plan ... 287

8.5 ... Assess Inventory Drivers ... 289

8.6 ... Finalize Inventory Plan ... 294

8.7 ... Create Custom Inventory Alerts ... 299

8.8 ... Summary ... 310

9 ... Building Intuition and Conducting What-If Analysis ... 311

9.1 ... What-If Analysis with Versions and Scenarios ... 312

9.2 ... Perform What-If Analysis ... 313

9.3 ... Simulating Situations ... 319

9.4 ... Intuition Building ... 332

9.5 ... Strategic What-If Analysis ... 334

9.6 ... Tactical What-If Analysis ... 337

9.7 ... Summary ... 338

10 ... Integrating SAP IBP for Inventory ... 339

10.1 ... Data Integration Technologies ... 339

10.2 ... Manual Data Integration Using the Web UI ... 342

10.3 ... Integration using SAP Cloud Platform Integration for Data Services ... 350

10.4 ... With SAP IBP Applications in the Unified Planning Area ... 361

10.5 ... With SAP ERP and SAP S/4HANA ... 362

10.6 ... With SAP APO ... 365

10.7 ... With Non-SAP Systems ... 366

10.8 ... Exporting Data Using OData Services ... 367

10.9 ... Summary ... 367

11 ... Planning Your Implementation ... 369

11.1 ... Cloud Software Considerations ... 369

11.2 ... Manual versus Automated Workflow ... 374

11.3 ... Agile versus Waterfall Implementation Methodology ... 382

11.4 ... Roles and Responsibilities ... 389

11.5 ... Summary ... 391

12 ... Case Studies ... 393

12.1 ... Case Study 1: Manufacturing Industry ... 393

12.2 ... Case Study 2: Consumer Goods ... 396

12.3 ... Case Study 3: High-Tech Company ... 399

12.4 ... Case Study 4: Consumer Products ... 402

12.5 ... Summary ... 406

A ... The Authors ... 407

... Index ... 409

About the author

Lei Wang is the director of product management, supply chain, at SAP and the product owner for the underlying supply chain algorithm library beneath SAP Integrated Business Planning for inventory and demand. He has more than a decade of experience in the research and development of enterprise inventory and service optimization solutions. He has also worked with expert users, planners, supply chain analysts, and consultants on various SAP Integrated Business Planning for inventory implementations. Lei Wang has a Ph.D. in industrial and systems engineering from the University of Minnesota.Sanchit Chandna is a manager for Deloitte Consulting LLP with more than nine years of experience in the design and implementation of SAP supply chain solutions, focusing on demand management, master production scheduling, rough cut capacity planning, inventory planning and optimization, and S&OP. He has deep knowledge of SCOR processes and is an expert in SAP IBP and SAP APO. He has implemented supply chain planning and optimization technology solutions in the chemical, food, life sciences and medical consumer products, auto, high-tech, and semiconductor industries. Currently, he is working with multiple SAP IBP customers as a subject matter expert.Jeroen Kusters is a senior manager for Deloitte Consulting with 10 years of supply chain planning experience. Jeroen started his career implementing SAP APO environment, with a focus on demand planning and service parts planning. Since 2013, his focus has been on SAP Integrated Business Planning; he works closely with SAP to drive new functionality enabling best-practice supply chain planning business processes.Atul Bhandari is the senior director of predictive supply chain analytics at SAP and product owner for SAP Integrated Business Planning for inventory. He has more than a decade of experience in helping companies adopt inventory optimization and demand-sensing capabilities. He has trained expert users, super users, planners, supply chain analysts, and consultants on the fundamentals of inventory planning and hands-on exercises. Atul acts as the SAP liaison for the SAP User Group for Inventory and Service Optimization. He has a PhD in operations research from Tepper School of Business at Carnegie Mellon University.

Summary

How much inventory is ideal? From setting service target levels and lead times to managing demand variability, learn to calculate and plan the best way to handle your inventory. Configure SAP Integrated Business Planning for inventory and model your supply network. Then optimize your inventory practices and measure your performance through KPIs, reports, and dashboards. Plan and control your stock levels with this all-in-one guide!

Highlights:

1) Master data
2) Planning areas
3) Supply network models
4) Replenishment
5) Lead times
6) Safety stock
7) Inventory types
8) What-if analysis
9) Integration
10) Implementation planning
11) Case studies

Product details

• Authors: Atul Bhandari, Sanchi Chandna, Sanchit Chandna, Jeroen Kusters, Jeroen et al Kusters, Le Wang, Lei Wang
• Publisher: Rheinwerk Verlag
• Languages: English
• Product format: Hardback
• Released: 25.06.2019
• EAN: 9781493217922
• ISBN: 978-1-4932-1792-2
• No. of pages: 419
• Dimensions: 184 mm x 235 mm x 31 mm
• Weight: 914 g
• Series: SAP PRESS; SAP PRESS Englisch; SAP PRESS; SAP PRESS Englisch
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks; Informatik, Supply Chain Management, SAP IBP, Inventory Planning, SAP SCM, Deloitte Authors, Supply Network Planning, SAP IBP for inventory, Supply network models, Replenishment, Optimization with SAP, Key Inventory Process, Run inventory calculation