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Demand Planning (DP)

The Demand Planning Benchmark is one of three benchmarks in the SAP APO Benchmark suite. Demand planning enables supply chain partners to forecast and plan demand in consideration of historical demand data, causal factors, marketing events, market intelligence, and sales objectives. Results from the planning process can be automatically fed to other nodes of the supply chain.

Benchmark Description

In the benchmark, we use mass processing, which allows you to create demand forecasts for large numbers of products, while optimizing system resources. All mass processing jobs run concurrently in the background.

For the Demand Planning Benchmark, we assume that each of 2,000 customers buys 500 products, resulting in 1 million characteristic combinations (2,000 customers times 500 products). As demand planning considers the last two years to plan for the next two years, the total number of time buckets (weeks) is 208 (4 times 52). Therefore, the total number of data records considered is 208 million. The number of automatically aggregated characteristic combinations (combinations of products and distribution centers) is 100,000. (All products are available in each distribution center.) The results of the benchmark are demand figures that result in actual demand.

DP Application, Two-Tier Internet Configuration

Date of Certification
(mm/dd/yyyy)
Technology Partner No. of Planned Characteristic
Combinations at AggregatedLevel
Per Hour (*)
No. of Updated Characteristic Combinations at Detailed Level
Per Hour
Operating System - Release RDBMS Release APO Release liveCache Central Server Central server memory (MB) Certification Number
10/22/2003 Unisys 586,319 5,863,190 Windows Server 2003 Datacenter Edition SQL Server 2000 3.1 7.4.2 Unisys ES7000 Model 400, 16-way SMP; Intel Itanium 2; 1,5 GHz, 32 KB L1 cache, 256 KB L2 cache, 6 MB L3 cache 65,536 2003053
09/30/2002 HP 157,555 1,575,550 Windows AS LE 1.2 SQL Server 2000 3.0 A 7.4.2 hp server rx5670, 4 processors SMP, Itanium 2, 1GHz, 3MB L3 Cache 32,768 2002051
08/27/2002 IBM 474,162 4,741,620 AIX 5.1 Oracle 9i 3.1 A 7.4.1.18 IBM eServer pSeries 690, 16-way, POWER4 1.3 GHz, 11.2 MB L2 Cache, 256MB L3 cache 131,072 2002044
05/29/2002 HP 252,811 2,528,110 HP-UX 11i SAP DB 7.3.0.20 3.0 A 7.2.5.18 HP RP8400, 16 processors SMP, PA-RISC 8700 750 MHz, 1.5 MB L2 cache 65,536 2002026
05/29/2002 HP 136,982 1,369,820 Tru64Unix 5.1.A Oracle 9i 3.0 A 7.2.5.7 HP  Alphaserver ES45, 4 processors SMP, Alpha 21264C EV6.8CB, 1.250 GHz, 16 MB L2 cache 32,768 2002025
12/21/2001 Compaq 110,489 1,104,890 Tru64Unix 5.1.A Oracle 8.1.6 3.0 A 7.2.5.7 Compaq Alphaserver ES45, 4 processors SMP, Alpha 21264 EV68, 1 GHz, 8 MB L2 cache 32,768 2001050
12/05/2001 Bull 129,258 1,292,580 AIX 4.3.3 DB2/EEE 7.1 3.0 A 7.2.5.7 Bull Escala PL800R, 8-processors SMP, RS64 IV 750 MHz, 8 MB L2 cache 32,768 2001048
10/23/2001 IBM 129,871 1,298,710 AIX 4.3.3 DB2/EEE 7.1 3.0 A 7.2.5.7 IBM eServer pSeries 660 Model 6M1, 8-processors SMP, RS64 IV 750 MHz, 8 MB L2 cache 32,768 2001041
09/05/2001 IBM 79,611 796,110 AIX 4.3.3 DB2/EEE 7.1 3.0 A 7.2.5.1 IBM eServer pSeries 660 Model 6M1, 8-processors SMP, RS64 IV 750 MHz, 8 MB L2 cache 32,768 2001032
07/23/2001 IBM 53,199 531,990 AIX 4.3.3 DB2/EEE 6.1 3.0 A 7.2.5.1 IBM RS/6000 Enterprise Server Model M80, 8-processors SMP, RS64 III 500 MHz, 4 MB L2 cache 32,768 2001025

DP Application, Three-Tier Internet Configuration

Date of Certification
(mm/dd/yyyy)
Technology Partner No. of Planned
Characteristic Combinations at Aggregated Level
Per Hour (*)
No. of Updated Characteristic Combinations at Detailed Level
Per Hour
Operating System - Release RDBMS Release APO Release Database / Application Server Database / Application Server Memory (MB) liveCache Number & Type of liveCache Servers Certification Number
09/12/2003 HP 256,458 2,564,580 Windows Server 2003 Enterprise Edition SQL Server 2000 3.1 hp server rx5670, 4-way SMP; Intel Itanium 2; 1 GHz, 3 MB L3 cache 49,152 7.4.2 1 x hp server rx5670, 4-way SMP; Intel Itanium 2; 1 GHz, 3 MB L3 cache 2003044

Production Planning and Detailed Scheduling (PP/DS)

The Production Planning and Detailed Scheduling (PP/DS) Benchmark is one of three benchmarks in the SAP APO Benchmark suite. The component Production Planning and Detailed Scheduling (PP/DS) enables companies to plan and optimize multi-site production, while simultaneously taking into account product and capacity availability.

Benchmark Description

Based on heuristics, a method of problem-solving that applies rules determined by experience or intuition, the Production Planning Benchmark solves specific planning tasks for selected objects, depending on the focus of planning – for example, products, operations, resources, or line networks – using a particular planning procedure algorithm.

This benchmark creates customer demands in each production plant and uses the production planning run to fulfill these demands. The benchmark covers two layers:

  • Plants that produce materials
  • Suppliers to the plants

For example, our supply network contains 20 suppliers, 10 plants, 10 distribution centers, and 250 transportation lanes. We assume 93 raw products and 10,000 finished products. In total, there are 120,093 location products. Each plant manufactures 2,000 finished products. At each DC, all 10,000 products are available.

PP/DS Application, Two-Tier Internet Configuration

Date of Certification
(mm/dd/yyyy)
Technology Partner Number of Orders per hour (*) Operating System - Release RDBMS Release APO Release liveCache Central Server Central Server Memory (MB) Certification Number
05/29/2002 HP 336,510 Tru64Unix 5.1.A Oracle 9i 3.0 A 7.2.5.16 HP Alphaserver ES45, 4 processors SMP, Alpha 21264 EV68CB, 1 GHz, 8 MB L2 cache 32,768 2002027

Supply Network Planning (SNP)

The Supply Network Planning (SNP) Benchmark is one of three benchmarks in the SAP APO Benchmark suite. 

SAP APO enables organizations to create a very close match between supply and demand by integrating purchasing, manufacturing, distribution, and transportation into one consistent model. By modeling the entire supply network and related constraints, SAP APO is able to synchronize activities and plan material flow throughout the entire supply chain. The results are feasible plans for purchasing, manufacturing, inventory, and transportation.

SAP APO also includes functionality to enable organizations to dynamically determine how and when inventory should be distributed. The system draws on the data universally available in liveCache to optimize deployment plans based on available algorithms, as well as user rules and policies. In the benchmark, we use mass processing, which allows you to run the heuristic planning for large numbers of product-location combinations, with mass processing jobs running concurrently in the background.

Benchmark Description

This benchmark covers the demand of the distribution centers (DC) that has been created by the demand planning run. The benchmark covers three layers:

  • The DCs that have the demand
  • Plants that produce the materials needed
  • Suppliers to the plants

For example, our supply network contains 20 suppliers, 10 plants, 10 distribution centers, and 250 transportation lanes. We assume 93 raw products and 10,000 finished products. In total, there are 120,093 location products. Each plant manufactures 2,000 finished products. At each DC, all 10,000 products are available.

SNP Application, Two-Tier Internet Configuration

Date of Certification
(mm/dd/yyyy)
Technology Partner Orders per Hour (*) Operating System -
Release
RDBMS Release APO Release liveCache Central Server Central Server Memory (MB) Certification Number
09/19/2003 IBM 2,979,951 AIX 5.2 DB2 UDB 8.1 3.0 7.4.2.20 IBM eServer pSeries Model p690, 16-way SMP, POWER4, 1.3 GHz, 11.2 MB (8 CPU) L2 cache, 256 MB (8 CPU) L3 cache 32,768 2003046
09/13/2002 HP 2,020,349 HP-Ux 11i SAP DB 7.3 3.0 A 7.2.5.18 HP RP8400, 16-way, PA RISC 8700, 750 MHz, 1.5 MB L2 cache 65,536 2002047
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