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Discover SAP

Discover SAP

®®

SCM

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SAP SCM Basics

SAP SCM Basics

1

1

...

...

31

31

SAP SCM Applications

SAP SCM Applications

2

2

...

...

45

45

SAP Demand Planning (DP)

SAP Demand Planning (DP)

3

3

...

...

59

59

Supply Network Planning (SNP)

Supply Network Planning (SNP)

4

4

...

...

79

79

Production Planning and Detailed Scheduling

Production Planning and Detailed Scheduling

5

5

(PP/DS)

(PP/DS)

...

...

99

99

Global Available to Promise (GATP)

Global Available to Promise (GATP)

6

6

...

...

121

121

SAP Transportation Management (TM)

SAP Transportation Management (TM)

7

7

...

...

139

139

SAP Event Management (EM)

SAP Event Management (EM)

8

8

...

...

161

161

Core Interface (CIF)

Core Interface (CIF)

9

9

...

...

183

183

SAP Service Parts Planning (SPP)

SAP Service Parts Planning (SPP)

10

10

...

...

201

201

SAP Extended Warehouse Management (EWM)

SAP Extended Warehouse Management (EWM)

11

11

...

...

217

217

SAP Supplier Network Collaboration (SNC)

SAP Supplier Network Collaboration (SNC)

12

12

...

...

239

239

SAP Forecasting and Replenishment (F&R)

SAP Forecasting and Replenishment (F&R)

13

13

...

...

261

261

SAP SCM’s Direction as of Release 7.0

SAP SCM’s Direction as of Release 7.0

14

14

...

...

277

277

Getting More from SAP SCM

Getting More from SAP SCM

15

15

...

...

299

299

SAP SCM and ROI

SAP SCM and ROI

16

16

...

...

327

327

Conclusion

Conclusion

17

17

...

...

345

345

A

A

Glossary

Glossary

...

...

365

365

B

B

Bibliography

Bibliography

...

...

373

373

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Acknowledgments Acknowledgments ... ... 2121 Preface Preface ... ... 2323

SAP SCM Basics

SAP SCM Basics

1

1

...

...

31

31

What is SAP SCM? What is SAP SCM? ... ... 3131 SAP

SAP SCM OriSCM Origins ...gins ... ... 3232 SAP

SAP’s Approa’s Approach to Supply Chain Management ...ch to Supply Chain Management ... ... 3333 Optimization

Optimization ... ... 3434 Linear Versus Discrete Optimization ...

Linear Versus Discrete Optimization ... ... 3434 Reduced Focus

Reduced Focus on Optimization ...on Optimization ... ... 3535 Which Co

Which Companies mpanies Are Are Right fRight for SAP or SAP SCM? SCM? ... 37... 37 Cross Application

Cross Application Components ...Components ... ... 3838 Product Location Master

Product Location Master ... ... 3838 Planning Areas

Planning Areas and Planning Object and Planning Object Structures Structures ... 40... 40 Planning

Planning Object Object Structure Structure ... 40... 40 Planning

Planning VersionVersions s ... ... 4141 Planning Versions

Planning Versions and Mass and Mass Maintenance Maintenance ... . 4141 Planning

Planning Book Book ... . 4141 Conclusion Conclusion ... ... 4343

SAP SCM Applications

SAP SCM Applications

2

2

...

...

45

45

SAP SCM Applications SAP SCM Applications ... . 4848 SAP

SAP SCM Conguration SCM Conguration Folders Folders ... ... 4949 SAP SCM as a Visionary Application

SAP SCM as a Visionary Application ... ... 5050 SAP SCM Application Interactions

SAP SCM Application Interactions ... ... 5151 Common

Common Application Application Interactions Interactions ... . 5252 SAP ERP to SAP

SAP ERP to SAP SCM SCM ... ... 5454 Implementation Key Drivers

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Conclusion ... 57

SAP Demand Planning (DP)

3

... 59

Demand Planning as SAP SCM’s Most Popular Application .... 60

Two Halves of Demand Planning ... 61

Basic Functionality and Concepts of SAP DP ... 62

Interactive Demand Planning ... 64

Data Warehouse Workbench ... 64

InfoObjects... 65

InfoCubes ... 69

Forecasting ... 71

Forecasting Methods ... 72

Characteristic Value Combinations ... 73

Realignment ... 73

Promotion Forecasting ... 74

Releasing the Plan ... 75

Plan Release and liveCache ... 75

Plan Destination ... 76

SAP DP Release History ... 76

Case Study ... 77 Company ... 77 Challenge ... 77 Solution ... 77 Value Achieved ... 77 Conclusion ... 78

Supply Network Planning (SNP)

4

... 79

Basic Functionality and Concepts of SNP ... 81

Methods of Running SNP ... 81

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Capable to Match ... 84

Capable to Match Conguration ... 85

SNP Resources ... 88

Common SNP Objects ... 89

Capacity Leveling ... 89

Capacity Leveling Proles ... 90

Planning Book ... 90

liveCache and Data Storage ... 92

Safety Stock in SNP ... 92

SNP Subcontracting ... 93

SNP and Supplier Network Collaboration ... 93

SNP Product Location Tabs ... 93

SNP Deployment ... 94 Deployment Heuristic ... 95 Deployment Optimizer ... 95 SNP Release History ... 96 Case Study ... 96 Company ... 96 Challenge ... 96 Solution ... 97 Value Achieved ... 97 Conclusion ... 97

Production Planning and Detailed Scheduling

5

(PP/DS) ... 99

Basic Functionality and Concepts of PP/DS ... 100

Methods of Running PP/DS ... 101

Capacity Leveling Versus Capacity Constraining... 103

Settings for PP/DS in the Product Location Master ... 103

Manufacturing Strategies ... 104

Pegging ... 105

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Production Process Models and Production

Data Structures ... 110

Production Process Models (PPMs) ... 111

Production Data Structures (PDSs) ... 112

Constraining PDS and PPM ... 113

Resources ... 114

Process Industry Planning ... 115

PP/DS Release History ... 116 Case Study ... 117 Company ... 117 Challenge ... 117 Solution ... 117 Value Achieved ... 118 Conclusion ... 118

Global Available to Promise (GATP)

6

... 121

GATP and CTM ... 122

Availability Checking ... 124

Available to Promise ... 125

Basic Functionality and Concepts of GATP ... 126

Different Levels of ATP Checks ... 127

Multilevel ATP Check (M-ATP)... 127

Availability Checking for Kits (or BOM) ... 128

Rules-Based Availability Checking ... 128

What Attaining ATP Prociency Can Mean ... 129

Capable to Promise ... 129

ATP Tree Structure ... 132

Third-Party Order Processing ... 132

Third-Party Order Processing at Amazon.com ... 133

Scope of Checking ... 134

The GATP Time Horizon ... 134

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Integration ... 136

GATP Release History ... 136

Case Study ... 137 Company ... 137 Challenge ... 137 Solution ... 137 Value Achieved ... 137 Conclusion ... 138

SAP Transportation Management (TM)

7

... 139

Basic Functionality and Concepts of SAP TM ... 141

High-Level Processes ... 141

Specic Processes ... 141

Shipment Creation ... 142

Carrier Tendering and Selection ... 143

Carrier Selection ... 143

Contract Management ... 143

Vehicle Scheduling ... 144

Carrier Cost Estimation ... 145

Transportation Load Builder ... 146

Important SAP TM Structures ... 146

Transportation Lanes... 147 Location Geo-coding ... 148 Transportation Modes ... 151 Transportation Zones ... 152 Transportation Groups ... 152 SAP TM Resources ... 153 Vehicle Resources ... 154

Transportation Versus Vehicle Resources ... 155

Freight Units ... 156

Integration to SAP Event Management ... 156

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Case Study ... 158 Company ... 158 Challenge ... 158 Solution ... 158 Value Achieved ... 158 Conclusion ... 159

SAP Event Management (EM)

8

... 161

Basic Functionality and Concepts of SAP EM ... 162

The Event ... 163

How Event Management Is New for SAP SCM ... 164

SAP EM Processes Visibility ... 166

Procurement ... 167

Manufacturing ... 167

Transportation ... 167

Asset Management ... 168

SAP EM Specic Areas ... 168

Major Components of SAP EM ... 169

Event Handlers ... 169

Event Handler Questions to Ask ... 171

Event Handler Types ... 173

Reacting to Events ... 173

Event Notications ... 174

Event Messages ... 175

Service Matching ... 176

Action Initiation ... 176

Analytics: SAP NetWeaver BW and Trend Analysis ... 176

Web Interface and Access ... 177

Integration ... 178

Web Communication Layer ... 178

SAP EM Release History ... 179

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Company ... 179

Challenge ... 180

Solution ... 180

Value Achieved ... 180

Conclusion ... 180

Core Interface (CIF)

9

... 183

The Technology Behind CIF ... 184

Basic Functionality and Concepts of CIF ... 185

Master Data ... 186

Master Data Volume and Sequence ... 187

Master Data Sequence ... 188

Transactional Data ... 189

Integration Models ... 190

CIF Variants ... 192

Models in SAP SCM ... 193

Models and Versions ... 193

CIF Tools ... 194

CIF Versus BAPIs and Custom Integration Code ... 195

Queues ... 195

Error Management ... 196

CIF Error Management Components ... 196

Errors in Error ... 197

Complete Integration ... 198

Real-Time CIF? ... 199

Conclusion ... 200

SAP Service Parts Planning (SPP)

10

... 201

Basic Functionality and Concept of SAP SPP ... 202

Unique Features of Service Parts Planning ... 202

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The Bill of Distribution (BOD) ... 207

Service Level Planning ... 208

Surplus and Obsolescence Planning ... 208

Differential Planning ... 209

Kit to Stock ... 209

The Logic Creation of the BOD ... 209

BOD in the Interface... 211

Planning for External Locations ... 211

VCL and the IBA ... 211

SAP SPP Release History ... 212

SAP SPP First Releases in SAP SCM 5.0 ... 212

SAP SPP as of 5.1 SAP SCM 2007 ... 213

SAP SPP as of SAP SCM 7.0 ... 214

Conclusion ... 215

SAP Extended Warehouse Management (EWM)

11

... 217

Differences Between SAP EWM and Warehouse Management in SAP ERP ... 218

Warehouse Organization ... 219 Supported Processes ... 221 Slotting... 222 Rearrangement ... 223 VAS ... 223 Kitting ... 224 Waves ... 225 Handling Units ... 226

Quality Inspection Engine (QIE) ... 226

Storage Control ... 227

SAP EWM and RFID ... 227

RFID and ASN ... 228

RFID and Serialization ... 228

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Yard Management ... 230

Cross Docking ... 233

Labor Management ... 233

Process Types ... 234

Integration to SAP Event Management (EM) ... 235

SAP EWM Release History ... 236

SAP EWM Server Setup ... 236

Conclusion ... 237

SAP Supplier Network Collaboration (SNC)

12

... 239

SAP Supplier Network Collaboration? ... 239

Setting the Stage for Effective Collaboration ... 241

Basic Functionality and Concepts of SAP SNC ... 243

SAP SNC Collaboration Types... 243

Different Collaboration Methods and Objects ... 245

Demand Collaboration ... 246

Replenishment Collaboration ... 246

Release Collaboration ... 247

Purchase Order Collaboration ... 247

Work Order Collaboration ... 247

Attachments ... 248

Supply Network Inventory ... 249

Delivery Collaboration ... 249

Invoice Collaboration ... 249

Supplier Managed Inventory (SMI) ... 250

Conrmations ... 251

Third-Party Logistics Providers ... 253

SAP NetWeaver PI Integration Scenarios ... 254

Visibility Prole ... 255

SAP SNC Web Browser ... 255

SAP SNC Release History ... 256

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Company ... 257

Challenge ... 257

Solution ... 258

Value Achieved ... 258

Conclusion ... 258

SAP Forecasting and Replenishment (F&R)

13

... 261

Basic Functionality and Concepts of SAP F&R ... 263

SAP F&R Processor ... 264

Collaborative Planning, Forecasting, and Replenishment (CPFR) ... 264

Forecasting ... 265

Order Proposals ... 269

Substitution ... 271

Service-Level Planning ... 272

SAP F&R Reporting ... 273

Order Optimization ... 274

SAP F&R Release History ... 275

Conclusion ... 276

SAP SCM’s Direction as of Release 7.0

14

... 277

High-Level Direction ... 278

New Approaches and Tools ... 278

A Major New User Interface ...278

Planning Service Manager ... 283

Planning Service Manager Proles ... 284

Service-Level Planning ... 285

Concepts of Service-Level Planning and Finished Goods ... 286

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Service-Level Planning in SAP ERP ... 287

Service-Level Planning in SAP SCM ... 288

Service-Level Planning as an Evolved Approach ... 289

Cross-Enterprise Capabilities ... 290

Cross-Enterprise Monitoring ... 290

Collaboration ... 292

Addition of the Warehouse and Retail Store ... 296

Conclusion ... 298

Getting More from SAP SCM

15

... 299

Where to Look for Improvement ... 300

Recovering Failed SAP SCM Implementations ... 300

The Recovery Analysis Team ... 301

Accountability of Partners ... 302

Improving or Enhancing Successful SAP SCM Implementations ... 305

Areas of Functionality Worthy of Analysis ... 306

Subcontracting in SAP SCM ... 306

Prioritizing Demand for the SNP Optimizer ... 309

Repair Functionality in Service Parts Planning (SPP) ... 309

Backward Consumption Enhancement for GATP ... 311

Improving Safety Stock Management ... 313

Safety Stock Functionality Offered by Supply Network Planning (SNP) ... 314

Production Planning/Detailed Scheduling (PP/DS) Implementation Tips ... 316

Real Constraints for Real Planning... 318

Don’t Rely Too Heavily on the Planning Book for SAP SCM Success ... 319

Provide Ample Non-consulting SMEs or Super Users .... 320

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Improving Usage Efciency with Model

Maintenance Methods ... 322

Conclusion ... 324

SAP SCM and ROI

16

... 327

Return on Investment (ROI) ... 328

Benets ... 328 Improvements in Sales ... 329 Costs ... 331 Inventory Management ... 333 Labor Costs... 333 Transportation Costs ... 334

Key Financial Ratios ... 335

ROI Estimation Recommendations ... 336

ROI Estimation: Managing the Process ... 337

Getting the Right Input ... 337

Selecting the Right People ... 338

Allowing Enough Time ... 339

Don’t Overemphasize Finance ... 340

Assign a Data Expert to the Team ... 340

Consider a Range or Sensitivity Analysis ... 341

Make the Assumptions Transparent ... 341

The Calculations ... 342

How to Set Up and Run the Value Presentation Meeting ... 342

ROI Presentations in Different Countries ... 343

Conclusion ... 343

Conclusion

17

... 345

Real-Life Supply Chain Modeling ... 346

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Missed Opportunities ... 349

Looking at SAP Transportation Management More Broadly ...349

SAP TM Functionality Covers Both Shipper Owned and Outsourced Transportation... 349

SPP and the Industry Need for Service Parts Planning ... 350

SAP SCM and Larger Supply Chain Trends ... 352

Energy Issues ... 352

Increased Rapidity of Inventory Turnover ... 354

Increased Supply Chain Monitoring ... 354

Collaborative Planning Trends ... 355

Collaborative Aspects of SAP SCM Applications Besides SAP SNC ... 357 Manufacturing Signals ... 358 Conclusion ... 360

Appendices ... 363

A Glossary ... 365 B Bibliography ... 373 Index ... 377

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SAP SCM Basics

In this chapter, we’ll describe SAP SCM and how it’s used in today’s economy, the SAP approaches to supply chain management, and how  companies can use and benet from SAP SCM. A large amount of  functionality has been introduced since the last time many people looked into SAP SCM, so even if you’ve seen it before, you’ll nd a lot of new information. Each chapter has a listing of some of the most  relevant new functionality as well as the enhancements that have been made to existing functionality.

What Is SAP SCM?

SAP SCM is an umbrella term for a set of applications that provide advanced planning capabilities. This set of applications is fed by stan-dard SAP integration technologies, which include the Core Interface (CIF) and BAdIs, among others, that connect the system to SAP ERP. SAP SCM is used to improve and optimize the supply chain by en-abling automated decision making, providing improved analytical

SAP SCM includes applications that provide advanced planning

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tools to users, and sharing information with internal system custom-ers and external business partncustom-ers.

SAP SCM Origins

SAP SCM was introduced as SAP Advanced Planning & Optimization (SAP APO) at the height of the advanced planning trend back in 1998. This was a period where i2 Technologies was the number one ad-vanced planning vendor, and Manugistics was close on its heels. It’s hard to believe because SAP SCM is so dominant in the advanced planning space today, but at that time SAP wasn’t seen as a factor and wasn’t even predicted to become one.

It’s important to draw the distinction between supply chain planning and advanced planning. Supply chain planning is covered by the applications and functions of SAP ERP Sales and Distribution (SD), Materials Man-agement (MM), and Production Planning (PP). These applications pro-vide supply chain execution functionality along with some basic planning functionality (safety stock and MRP, basic forecasting, availability check-ing, and production planning among a few others), but none of these applications cover advanced planning. Advanced planning is future based and deals in different scenarios that are presented to planners, who then pick the best alternative. In advanced planning, the plan may be recre-ated several times before it’s rmed and sent to the execution system. True advanced planning systems can’t execute recommendations; they can only make recommendations. So, while SAP had supply chain appli-cations for some time before SAP APO, SAP APO was SAP ’s rst venture into advanced planning.

But SAP needed to create a separate set of applications, rather than in-corporate advanced planning within SAP ERP because planning systems and transaction processing systems work differently. At one point, SAP felt that advanced planning was overly esoteric and would only be de-sired by a small fraction of its customer base. Somewhere along the line though, SAP changed its view and developed its own advanced planning suite. This was probably largely market driven, as we’ll explain later in this chapter.

Note: Supply Chain Planning Versus Advanced Planning

Although dominant in advanced planning today, in 1998, SAP wasn’t yet a strong player in the supply chain management area

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SAP’s Approach to Supply Chain Management

SAP has a relatively, standard solution architecture for supply chain management that has grown through time to reect the trends of ad-vanced planning. While SAP SCM began its life as SAP APO and was originally intended to perform advanced planning only, it has since evolved to essentially be a repository for all advanced supply chain functionality not covered in SAP ERP. As an example, while the SAP warehouse management functionality in SAP ERP has essentially been stabilized, the more advanced functionality has and will continue to migrate to the SAP SCM application known as SAP Extended Ware-house Management (SAP EWM). Both applications cover warehous-ing, but their capabilities are different (Figure 1.1).

ERP

APO

Supply Network Collaboration

SCM Infrastructure

Extended Warehouse Management

Transportation Management Duet Demand Planning Supply Network Planning Demand Planning Global ATP Event Manager SCM Basis PP/DS All TP/VS

SAP SCM Solution Map

Figure 1.1

SAP SCM has developed along with the trends in advanced planning

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Optimization

In its early years, SAP APO was sold on its ability to perform optimi-zation. This is primarily because it was an industry-wide practice to market advanced planning software in this way. In fact, SAP APO, or SAP Advanced Planning & Optimization, had the term directly in its name.

Optimization

has two general meanings. One is more of a business na-ture, which basically means to produce the best outcomes. The other has to do with the area of operations research, from where the supply  chain optimization originates. For this book, we’ll dene optimiza-tion as the use of software tools and processes to ensure the optimal operation of a supply chain, including the optimal location of inven-tory within the supply chain and the minimizing of operating costs (including manufacturing costs, transportation costs, and distribution costs).

Linear Versus Discrete Optimization

Optimization works best in situations that are perfectly “linear,” so that inputs can be increased or decreased in a continuous fashion. An example of a linear input is an order quantity. In a perfectly linear op-timization, any order quantity from zero to innity can be placed and fullled. But in reality, supply chains are not perfectly linear prob-lems. For example, the lot size is a discrete value that limits the ex-ibility of the order quantity. One item may be ordered in units of 50, but if 135 units are desired, and the current inventory is less than 35, then 150 must be ordered to meet this demand. SAP SCM has a num-ber of techniques, such as lot size, that alter the problem being solved from perfectly linear to discrete, or what is known as a

 step function

. This is very important for making the resulting recommendation re-alistic (Figure 1.2).

The goal of  optimization is to ensure the “optimal” operation of your supply chain

The step function is one of the most commonly used input functions

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Linear vs. Discrete Optimization

Time      Q    u     a     n      t      i      t    y Optimal Purchase Quantity Actual Purchase Quantity Lot Size = 50

Linear Optimization in Supply Chain

Figure 1.2

Must Be Moderated by Constraints

Reduced Focus on Optimization

 Although optimization drove development in SAP SCM at one time, it  no longer does. The evidence for this is that optimization is an option in three of the older applications (Supply Network Planning [SNP], Production Planning and Detailed Scheduling [PP/DS], and SAP Trans-portation Management [SAP TM], formerly known as TransTrans-portation Planning and Vehicle Scheduling [TP/VS]), but isn’t an option in any  of the newer applications (SAP Extended Warehouse Management  [SAP EWM], SAP Supply Network Collaboration [SAP SNC], SAP Event Management, SAP Service Parts Planning [SAP SPP], and SAP Forecasting and Replenishment). In addition, the core optimization functionality in SAP SCM has been stabilized for some time. This shift  is partly due to the fact that optimization didn’t meet its originally  envisioned potential. So, the newer applications in SAP SCM have tended to downplay optimization in favor of other functionality. If optimization didn’t “change the world” of supply chain, the ques-tion naturally becomes “Why not?” There are a number of reasons, but one of the most prominent was the implementation and mainte-nance difculty combined with the lack of company knowledge.

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There is a story about an advanced planning vendor that was running the optimizer engine in the background, but when the engine actually went down for a few days, no one even noticed. This was because the plan-ning was primarily being performed by heuristics that had been custom coded with scripts, and the solution was not using the optimizer at all. Whether the client knew the optimizer was not being used is unknown. This is more common than reading press releases and industry periodicals in the area would make you think. While optimization sold a lot of supply chain software, it wasn’t necessarily what the customers went live with, as evidenced from this example.

Example

Implementing and maintaining optimization methods requires much effort and long-term investment. Secondly, optimization requires a great deal of discipline and knowledge on the part of the implement-ing company. Many companies want the benet of advanced plan-ning but are not culturally, nancially, or skills-wise prepared to make the sacrices required to get the outcomes they desire.

 More often than not, companies want simple solutions that deliver value quickly. That isn’t how optimization works. And this is partly  because the software has historically been designed to be more com-plex than is necessary (Figure 1.3).

Planning Continuum

Heuristics Optimizer Solution Quality    E    f    f  o   r    t  a   n    d    C  o   s    t  s    R  e   q   u    i  r  e    d CTM

Costs Versus Benets in Planning Solutions for SNP

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Which Companies Are Right for SAP SCM?

Some companies are better suited to undertaking an SAP SCM imple-mentation than others, and Table 1.1 shows the typical characteristics that allow a company to be successful with SAP SCM.

Company

Characteristics Description

Current SAP ERP users A few SAP SCM implementations have been performed on accounts without SAP ERP, but, in general, this is a major precondition.

Already have effective planning processes

SAP SCM is very exible and can adjust to most planning processes, but it can’t x a broken process. As with other planning software, the best successes typically come from companies that are already good at planning.

Make planning a priority If the commitment isn’t there in terms of  management support and nance, it’s better not to begin an SAP SCM implementation. SAP SCM implementations are complex affairs, so companies must be ready for this complexity. Part of this is content knowledge of planning, but another component is open mindedness to new approaches. This is because there are a number of best practices inherent to the SAP SCM processes.

Focused on improvement

Transaction processing systems such as SAP ERP are a necessity, but a business can still run without a planning system. SAP SCM implementations cause companies to evaluate their priorities. Some applications request the estimation of a cost of a lost sale, so those successful with SAP SCM are effective at asking these questions and getting answers.

Current users of SAP ERP are good

candidates for SAP SCM

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One way of looking at whether your company is appropriate for SAP SCM is to determine if it has maximized the planning functionality  within SAP ERP. And in some cases, requirements will naturally lead to the consideration of SAP SCM. In Chapter 2, SAP SCM Applica-tions, we’ll cover the specic needs that often drive the decision to implement different applications. However, more generally, SAP SCM is most benecial to companies that are dedicated to improving their planning processes and that already have good planning processes to begin with.

This statement isn’t only true of SAP SCM but of advanced planning tools generally. While we’re not able to nd specic research to back this up, our anecdotal evidence from our experience on projects indi-cates that the better the company is at planning before it implements an advanced planning system, the more the company gets from the implementation. Being effective at planning helps the company know  how to design the system and also allows the company to better le-verage what it ends up implementing.

Cross Application Components

 As mentioned earlier, this book is broken into a format of one chap-ter per application. However, there are some important concepts and components that cut across the applications, so even though all of the components will be addressed in the same form in individual chap-ters, they may also be covered in other chapters.

Product Location Master

SAP SCM is based upon a supply chain network, which is a combina-tion of locacombina-tions, products, and transportacombina-tion lanes (Figure 1.4).

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Supply Network

Transportation

Lane

Locations

Combination of Transportation Lanes and

Figure 1.4

Locations Is Referred to as the Supply Network

SAP SCM, as with the plant and material master in SAP ERP, stores a large amount of conguration information in the

 product master 

,

location master 

, and the

  product location master 

. We refer to these masters throughout the book, so it’s important to know the differ-ences between them.

The

1.

 product master 

contains the information and attributes that  relate to the product across all locations. Data elements such as the product number, the material group, and the gross weight and volume are all attributes of the product master. The product mas-ter is set up once per product.

The

2.

location master 

deals with the attributes of the location. This includes the location name, address, any calendars associated with the location, and specic settings that apply to a few of the differ-ent applications, such as SNP, TM, SAP Forecasting and Replenish-ment, and SAP SPP.

The

3.

 product location master 

is essentially the product master with added elds and added tabs to hold these elds that modify the

Product master, location master, and product location store data in SAP SCM

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For instance, in SAP SCM, safety stock isn’t set at the product or lo-cation level but at the product lolo-cation level, so there’s no eld for safety stock control on the location master or on the product master, but there are safety stock control elds on the product location mas-ter. This not only holds true for safety stock but also for many other attributes that only come into play at the product location master.

Planning Areas and Planning Object Structures

Planning areas and planning object structures are important cross ap-plication items. They are high-level data groupings that control the entire supply chain model. They have a central administration that al-lows the areas and structures to be copied, maintained, and deleted.

Planning areas are the central data structures of Demand Planning (DP) and Supply Network Planning (SNP). A planning area is a container for key gures. Planning areas feed an interface object called a planning book, which is a spreadsheet view with a number of aggregation and macro capabilities. At the most basic level, key gures are the numerical values in the spreadsheet.

Note

Planning Object Structure

 Just as a planning area is a container for key gures, a planning object  structure (POS) is a container for characteristics. The combination of  characteristics is called characteristic value combinations (CVCs). The POS stores every unique combination of CVCs, which is then used to help control disaggregation when data is manipulated at summary  levels. In the previous analogy, we stated that key gures are the nu-merical values in the planning book spreadsheet. Characteristics are like the textural column and row headings, with the time characteris-tic on the horizontal axis, and the product characterischaracteris-tics on the verti-cal axis.

Planning areas are containers for key gures

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Planning Versions

The planning versions set up the data that are available for use. A model with the same supply network can have slight alterations in terms of control elds on, say, the product location master, making the version create different planning results than a different version of the same model that has the original product location master set-tings. Multiple versions can be kept over time and run to see how the results change. Because only the active version planning results are communicated back to SAP ERP, multiple versions can be run in per-petuity along with a live active version, without ever impacting the active version. If the changes are deemed desirable, then the settings from the inactive version can be migrated over to the active version. However, it’s important to remember that this all takes maintenance effort. It’s one thing to talk about the benets of simulation and say  that SAP SCM supports it, but it’s another thing to support simulation modeling with the resources necessary to make it happen.

Planning Versions and Mass Maintenance

Planning versions can be particularly effective when used with the  MASSD or the mass maintenance transaction. This allows the person performing the conguration to make wholesale changes in the mas-ter data; however, this transaction should not be used on the active version. Instead, by using the simulation planning version and then mass maintenance to make changes, the changes can be fully tested before mass maintenance to make the tested changes on the active version.

Planning Book

DP and SNP are two SAP SCM applications that use the planning book intensively. The planning book is the window into the planning data

Planning versions are variations of the planning models

(28)

for most planners and other users. Planning books consist of the fol-lowing areas: Characteristics

Key gures

Data views

 Macros

Forecasting functionality 

Promotional functionality 

Interactive graphics

Planning books provide views of various levels of aggregation as well as ad-hoc viewing of planning data. Planning books allow you to com-bine characteristics and key gures in a exible way for presentation to the planners. In fact, the planning book is the main user interface into SAP, and SAP SNP also uses it, but it uses other views as well. Creating the planning books is a signicant part of the implementa-tion because there are many different combinaimplementa-tions of planning books that can be created. Here are some of the important characteristics of  planning books:

Different planners are responsible for different products and geog-raphies, so the planning book can be customized for each planner or for groups of planners.

 As planners become more familiar with the planning book, they 

can be trained to create planning books for themselves.

The act of creating a planning book doesn’t change or affect the

underlying data that the planning book displays.

The planning book is provided with the capability to perform

com-›

plex calculations through its own macro builders. The results of the macro calculation are displayed through extra rows in the planning book.

Planners can be assigned to as many planning books as you like

(29)

SAP SCM comes with some standard macros, but they aren’t sufcient to cover all of the implementation needs. Unfortunately, creating macros in a planning book is nothing like creating calculations and formulas in Excel. So, because of the substantial learning curve, planners typically can’t create their own macros.

Tip

Conclusion

This book is designed to provide an introduction to the entire SAP SCM suite by providing the broadest possible exposure to SAP SCM with the lowest possible effort on your part. Areas of detail that are not covered in the book can be found from the many references in-cluded in the Bibliography of other SAP SCM books that go into more detail on the different topics. For the older applications such as SNP, DP, and PP/DS, this will be relatively simple. For the newer applica-tions such as SAP EM, SAP SNC, and SAP EWM, this will be a bit more challenging. Of course, SAP training offers courses in all of these top-ics.

But let’s move on to the next chapter and get a broad overview of all of the applications offered in SAP SCM.

(30)

4PL, 254

A

 Active model, 193  Active version, 41  Activity Areas, 220

 Advanced shipment notication, 228  Advanced shipping notication, 292  Alert Framework, 173  Alert Manager, 291  Alert Monitor, 164  Amazon.com, 133, 294  APO, 100  ASN, 228, 245, 355  Assemble to order, 127  Assemble-to-order, 99, 104  Assortments, 263  ATP, 113, 135, 224  ATP category, 123  ATP requests, 185  ATP tab, 134

 ATP tree structure, 127, 132

 Automotive returns processing, 168  Availability checking, 124

 Availability checking for kits, 128  Available to promise, 125, 294, 312

B

Backorder processing, 132 Backward consumption, 94, 137, 311 BAdI, 309 BAPI, 169 BAPIs, 195 Batch management, 219 Best-t functionality, 71

Bill of Material, (BOM), 109 Bucket resource, 88

Bulk storage type, 220

C

Calendar, 114

Calendar mixed resource, 88, 114 Capable to match, 82, 122, 347 Capable to promise, 125, 127 Capacity leveling, 82, 89 Capacity leveling prole, 90 Carrier capacity, 150

Carrier cost estimation, 142, 145 Carrier tendering and selection, 141, 143 Causal, 72, 207 Change pointer, 188 Characteristic, 65, 89 Characteristic-based forecast, 63 Characteristic-dependent planning, 76 Characteristics, 40, 41, 42, 65

Characteristic value combinations (CVCs) , 40, 73 Checking horizon, 134 Checkpoint, 231 Ciber, 226 CIF, 111, 148, 183 CIF variants, 192 Collaboration, 358 Collaborative forecasting, 74 Collaborative manufacturing, 358 Collaborative manufacturing environ-ment, 358

Collaborative Planning, Forecasting, and Replenishment (CPFR), 246, 264, 296

(31)

Collaborative Sales and Forecasting, 293

Collaborative transportation planning, 143

Collective processing run, 142 Composite, 72

Congurable product, 127 Consignment indicator, 137 Consignment stock in transit, 137 Contract management, 142, 143 Contract manufacturer, 354 Core Interface (CIF), 48

Create a shipment function, 142 CRM 5.0, 224 Cross docking, 233, 354 Cross-enterprise monitoring, 290 Cross-enterprise system, 294 CTM, 82, 122 CTM prole, 85 Customer, 243

D

DataSource, 68 Data views, 42

Data Warehouse Workbench, 61, 66, 67 Date calculation, 175 Date tolerance, 175 Days of Receivables, 335 Delivery collaboration, 246 Delivery window, 144 Demand collaboration, 245, 246 Demand Inuencing Factor, 288 Demand plan, 80 Demand Planning (DP), 47, 60, 329, 357 Demand selection, 85 Deployment heuristic, 94 Deployment optimizer, 94 Design drawing, 248 Deviation of demand, 313 Disaggregation process , 76 Discrete manufacturing, 348 Doors, 231 DP, 40, 41, 42, 43, 100 DRP, 91, 213 DRP Matrix, 211, 279 Dynamic pegging, 86, 123

E

Electronic Data Interchange (EDI), 163, 294, 355 Enhanced method, 315 Equipment initiation, 205 Event, 163 Event code, 175 Event handler, 169, 170 Event manager, 251 Event notication, 169 Excel, 314

Expected event list, 163

Expected Event Overdue Event, 165 Expected event prole, 176

Expected goods receipt, 218 Extended safety stock, 289

Extended Warehouse Management, 217

F

Factory Calendar, 198 Factory collaboration, 358 Fixed bin, 220

Fixed lot size, 94 Fixed pegging, 86 Forecasting, 71

Forecasting and Replenishment, 246, 329

(32)

Forecasting with BOM, 72 Forecast quality, 273 Forecasts, 245

Formula, 116

Fourth-party logistics, 355

Fourth-party logistics providers, 355 F&R, 60, 261 Freight unit, 146 Fulllment, 168 Fulllment by Amazon, 294

G

GATP, 113, 121, 147, 224 GATP time horizon, 134 Geo-coding, 148

Global Available to Promise (GATP), 48, 121, 293, 308, 311

Global service-level planning, 287 Goods issue, 94 Goods release, 94 GPS, 168, 235 GR/GI, 94 Group code, 175

H

Handling resources, 145

Handling units in outbound ship-ments, 168 Heuristic, 82, 347 Heuristics, 283 Hierarchical planning, 91 High rack, 220

I

IDoc, 169

Implementation Guide (IMG), 49 InfoCube, 68, 92

InfoObjects, 65

InfoProvider, 68 Installed base, 205

Integrated rule maintenance, 128 Integration model, 194

Interactive demand planning, 64 Interactive graphics, 42

Interactive Scheduling Agreements, 91 Interactive SNP and Transport Load Builder, 91

International sea transportation, 168 Inventory balancing, 203

Inventory Balancing Area, 212 Inventory turnover, 335 Invoice, 246, 292 Invoice collaboration, 246, 293 iPPE, 72, 128

J

 JIT, 358

K

Key gures, 40, 42, 65, 89 Kitting, 224 Kit to order, 224 Kit to stock, 224

L

Labeling, 224 Labor management, 219, 233, 354 Layout-oriented storage control, 227 Leading indicator forecasting, 205 Light assembly, 224

Limits on distance, duration, and stop-over, 145

Linear optimization , 34 liveCache, 75, 92, 126, 136 Location master , 39

(33)

Lost sales, 273 Lot-for-lot, 94

Lot sizing procedure, 94

M

 Machine breakdown, 167  Macros, 42

 Make-to-order, 99, 104  Make-to-stock, 99, 104  Malfunction and repair, 167  MASSD, 41

 Mass maintenance , 41

 Mass Maintenance transaction, 149  Master planning object structure, 89  Materials Management (MM), 32, 361  Maximum storage time at location,

145

 MCA, 213  MRP, 82

 Multi-activity, 114

 Multidimensional data object, 70  Multi-echelon inventory

optimiza-tion, 203  Multilevel ATP, 127  Multi-mixed, 114  Multimixed, 88

N

Negative Binomial, 202 Number of periods, 75

O

Opening hours of locations, 145 Operations research, 34

Optimization, 82, 347 Optimizer, 101, 307 Order creation, 219

Order Forecast Monitor, 293 Order proposal, 263

Outbound delivery request, 229 Outsourced manufacturing, 306

Outsource manufacturing partner, 243 Over stock, 273

P

Packing, 224 Packing instructions, 248 Parking space, 231 Part number, 292

Party entitled to dispose, 220 PDS, 110, 245

Pegging, 84, 105

Performance- based logistics, 285 Performance indicator, 177

Period consumption strategy, 311 Phase, 245

Picking waves, 225

Planned independent requirements, 63

Planned order, 185

Planned production order, 100 Planning areas, 40, 89

Planning book, 41, 42, 90, 281 Planning models, 41

Planning object structure (POS), 40, 67, 68

Planning proposal, 142

Planning Service Manager, 283, 298 Planning versions, 41 Plant Maintenance (PM), 168, 310 Poisson, 202 Portal, 163 PP/DS, 43, 60, 88, 99, 127 PPM, 111, 191, 245, 307

Process-oriented storage control, 227 Process prole, 283

(34)

Process types, 234

Production data structure, 110, 307, 348

Production line, 114

Production line mixed, 114

Production line mixed resource, 88 Production line resource, 88

Production order schedule, 167 Production plan, 100

Production Planning, 119

Production Planning and Detailed Scheduling (PP/DS), 47, 99, 307, 334, 348

Production Planning (PP), 32

Production process model, 110, 111, 307, 348

Production staging area, 236

Product location master, 39, 41, 135, 186, 292, 314 Product master, 39 Product postponement, 223 Promotional functionality, 42 Promotion base, 75 Promotion forecasting, 74 PSA, 236 PSM, 204 Purchase order, 245, 292

Purchase order collaboration, 245 Purchase order processing, 293 Purchasing info record, 148

Pure transportation company, 355

Q

QIE, 226

Quality inspection engine, 226

R

Radio Frequency Identication, 227 Rail car management, 169

Reactions to event, 169 Realignment, 74

Real time deployment, 94 Rearrangement, 219, 354 Receipt, 246

Receipt and requirements list, 255 Recipe, 116

Red Prairie, 226

Refurbishment order, 214 Release collaboration, 245 Remote function call, 164 Reorder point, 94 Repair planning, 310 Replacement type, 206 Replenishment collaboration, 245, 246 Replenishment indicator, 210 Replenishment order, 244, 245

Replenishment order processing, 293 Requirement, 246

Resource, 88, 114

Resource management, 219

Responsive Replenishment Monitor, 292 Return on Assets, 336 Reverse kitting, 225 RF device, 163, 178 RFID, 168, 227, 297 Routing, 219

S

Safety stock, 287, 313

Sales and Distribution (SD), 32 Sales and Operations Planning, 91 Sales order processing, 168

SAP Advanced Planning & Optimiza-tion (SAP APO), 32, 49, 60

SAP BusinessObjects Global Trade Ser-vices, 158

SAP BusinessObjects Supply Chain  Management, 174

(35)

SAP Business Workow, 173 SAP DP, 60, 80

SAP DP Data Mart, 64, 92 SAP Easy Access , 49

SAP Event Management (SAP EM), 48, 97, 161, 235, 240, 334, 348, 355 SAP Extended Warehouse Manage-ment (EWM), 48, 60, 88, 262, 296, 334

SAP Forecasting and Replenishment  processor, 265

SAP Forecasting and Replenishment, 48, 261, 288, 358

SAP F&R processor, 264 SAP IS Retail, 262

SAP_MRP_001, 102 SAP NetWeaver BI, 64 SAP NetWeaver BW, 163

SAP NetWeaver Identity Management, 214

SAP NetWeaver PI, 184, 254 SAP NetWeaver Portal, 174

SAP NetWeaver Process Integration, 169 SAP_PMAN_001, 102 SAP_PP_003, 131 SAP_PP_005, 102 SAP_PP_18, 102 SAP_PP_CTM, 131 SAP PRESS, 262 SAP SCM SMEs, 320

SAP Service Parts Planning (SPP), 46, 48, 350, 353

SAP SNC, 43, 165, 212 SAP SNC web browser, 251 SAP SNC Web UI, 248 SAP SPP, 60

SAP Supplier Network Collaboration (SNC), 47, 48, 165, 288, 355

SAP Transportation Management, 348, 353

Scanner, 178, 235

Schedules of vehicle types, 144 Scheduling agreement, 148

Scheduling agreement release, 292 Serial number, 228

Service ll monitor, 212

Service Inventory Optimization, 213 Service level, 273, 315

Service level agreement, 249 Service-level planning, 285 Service matching, 176

Service parts delivery and tool man-agement, 169

Service Parts Optimization, 213 Service Parts Planning, 288, 308, 333 Set rules, 176

Shipment creation, 141

Simulation planning version, 41 Single activity, 114 Single mixed, 114 Single-mixed resource, 88 SIO, 213 SIT, 358 Slotting, 219, 354 SNP, 40, 41, 42, 43, 60, 79, 88, 100, 147 SNP1, 94 SNP2, 94 SNP deployment, 94 SNP optimizer, 82

SNP Product Location tab, 93 Solution Manager, 323

Specications, 248 SPO, 213

SPP, 147, 202

Standard Deviation of Lead Time, 313 Star schema, 68, 70

Step function, 34

Stock replenishment, 229 Stock requirements list, 255 Stock transfer order, 185

(36)

Storage bin, 220 Storage control, 227 Storage section, 220 Storage type, 220 Subcontracting, 93, 306 Subcontractor agreement, 307 Subcontract order, 214 Subcontractors, 355 Subcontract reservation, 246 Supersession, 205 One-to-many supersession, 205 One-way supersession, 205 Two-way supersession, 205 Supplier, 243 Supplier collaboration, 243

Supplier delivery performance rat-ing, 288

Supplier managed iventory (SMI), 250 Supplier Network Collaboration, 93 Supplier network inventory collabora-tion, 246

Supply chain engineer, 323

Supply chain monitoring exchange, 294

Supply chain network, 38 Supply chain unit, 220, 311 Supply network , 41

Supply Network Planning (SNP), 45, 47, 79, 307

Supply selection, 85, 122

T

Target service level, 288 Task interleaving, 219 Test program, 248

The Master Data Selection, 85 Third-party logistics provider, 243, 253, 354

Third-party order processing, 132 Time horizon, 135

Time-related supply unit, 214 TPVS, 88

Transportation Booking Agent, 157 Transportation Charge Clerk, 157 Transportation Dispatcher, 157 Transportation lane, 81, 146

Transportation load builder, 142, 146 Transportation Management , 48 Transportation Manager, 157 Transportation mode, 146

Transportation Network Admin, 157 Transportation Planning and Vehicle Scheduling (TP/VS), 48 Transportation resource, 88, 146, 153 Transportation tendering, 168 Transportation unit, 226 Transportation zone, 146 Transport order, 214 TSL, 214

U

Unconstrained planning, 82 Under stock, 273 Univariate, 72

Unplanned cross docking, 236 Unserviceable, 204, 206

Usage hour, 205 User interface, 169

V

Value added services, 223 Variants, 192

Vehicle capacity, 144

Vehicle incompatibility, 144 Vehicle resource, 88, 153 Vehicle scheduling, 142, 144 Vendor managed inventory (VMI), 250

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