SAP Advanced Planning and Optimization

[128 Matches Found]
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by Manish Thukral, Principal Consultant, Infosys Technologies | Rahul Patil, Senior Consultant, Infosys Technologies April 21, 2017
SCM – 

Manish Thukral and Rahul Patil explain how forecast models in SAP Integrated Business Planning can be configured to implement linear regression in forecasting by leveraging available algorithms, custom configuration, and master data models in SAP Integrated Business Planning for demand.

Here are typical scenarios where linear regression forecasting is applicable:

  • Agricultural yield for a specific year depends on factors such as rainfall, area of cultivation, and quantity of fertilizer used. Based on linear regression, the relationship between agricultural yield and independent factors such as rainfall, area of cultivation, and quantity of fertilizer used can be determined in terms of linear equation. Based on this the forecasting for agricultural yield in the future can be done.
  • The performance of a software system is dependent on factors such as the  number  of users accessing the system and the number of transactions happening. Based on past data a statistical relationship can be derived for the performance of the system. That can be used to forecast system availability or control number of users accessing the system.

They describe the configuration to be done with a multiple linear regression strategy with one independent variable to behave as a simple linear regression forecast.


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by Sasa Mitrovic, Founder and Principal Consultant, Summit Global Associates, Ltd. February 8, 2017
SCM – 
Sasa Mitrovic discusses best practices when implementing a manufacturing execution system (MES) solution in an SAP ERP Central Component (ECC) environment and ways to connect two systems through an integration (middleware) solution. He discusses the role of an MES in your enterprise, specific SAP transactions used to view MES data, and common pitfalls during implementation.

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by Caetano Almeida, Senior Support Engineer, SAP January 17, 2017
SCM – 
Caetano Almeida shows what is new in SAP S/4HANA embedded Production Planning and Detailed Scheduling (PP/DS). He analyzes the changes in the master data and customizing steps necessary to run embedded PP/DS in SAP S/4HANA.

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by Shishir Kumar Dwivedi, Senior Consultant, Deloitte Consulting LLP January 13, 2017
SCM – 
Shishir Kumar Dwivedi explains how to implement the Event-Driven Quantity Assignment (EDQA) functionality in Global Available-to-Promise ATP (Global ATP). He describes the business scenarios that can benefit from this functionality and discusses configuration steps and key considerations to watch out for.

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by Alok Jaiswal, Consultant, Infosys Limited January 5, 2017
SCM/BI – 
Alok Jaiswal explains how historical and forecasting data that resides in a planning area within the SAP Advanced Planning and Optimization (SAP APO) database can be extracted and saved in separate objects (InfoCubes). This feature not only can serve as a data backup but also can be used as a source for various reporting purposes. He also explains how the different steps involved in the extraction can be automated via a single process chain, making the entire process efficient.

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by Mitesh Verma, SAP SCM Solution Architect, Dorman Products September 22, 2016
SCM – 
Mitesh Verma explains how small enhancements provide a lot more flexibility in deciding how supplies are allocated to customer orders.

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by Alok Jaiswal, Consultant, Infosys Limited September 20, 2016
SCM/BI – 

Alok Jaiswal explains how historical and forecasting data that resides in a planning area within the SAP Advanced Planning and Optimization (SAP APO) database can be extracted and saved in a separate object (i.e., InfoCubes). This not only helps to serve as a data backup but also can be used as a source for various reporting purposes.


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by Arun Negi, Manager, Deloitte Consulting LLP | Chris Pingel, Specialist Master, Deloitte Consulting LLP July 28, 2016
SCM – 
Arun Negi and Chris Pingel explain how to solve process industry supply chain issues using Capable to Match (CTM) as the preferred engine.

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by Rajesh Ray, Senior Managing Consultant and SCM Product Lead, IBM Global Business Services | Abhishek Kaul, Senior Managing Consultant, IBM GLobal Business Services June 29, 2016
SCM – 
Rahesh Ray and Abhishek Kaul list in five categories what SAP Advanced Planning and Optimization (SAP APO) users need to learn about migrating to SAP Integrated Business Planning. Categories the authors cover include configuration objects, master data, user interaction and interface, planning operator and implementation, and a deployment approach.

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by Claudio Gonzalez, Principal Solution Architect, SCM Connections May 31, 2016
SCM – 

In this video, Claudio Gonzalez, a principal solution architect at SCM Connections, shows you how to effectively utilize the supply network planning (SNP) optimizer to accurately determine capacity constraints for production scheduling, transportation, storage, and handling resources.


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by Alok Jaiswal, Consultant, Infosys Limited May 27, 2016
SCM – 
Alok Jaiswal explains how promotion planning can be used and configured with the forecasting process in SAP Advanced Planning and Optimization (SAP APO). This is useful for planning one-off, non-repeating events, such as promotional campaigns, and linking them into product sales forecasts.

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by Ramakrishna Maddela, Specialist Master, Deloitte Consulting LLP May 17, 2016
SCM – 

Ramakrishna Maddela, specialist master at Deloitte, addresses the common challenges associated with the implementation of the SAP Advanced Planning and Optimization (SAP APO) Production Planning and Detailed Scheduling (PP/DS) optimizer and arms you with tools to improve its performance.


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by Anjali Butley, Solution Architect, SAP SCM and SAP Integrated Business Planning March 25, 2016
SCM – 
Anjali Butley shares lessons learned and recommendations to ensure a successful SAP Advanced Planning and Optimization (SAP APO) upgrade.

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by Pradeep Vijay, Specialist Master, Deloitte Consulting LLP January 20, 2016
SCM – 

Pradeep Vijay walks you through the end-to-end configuration and implementation steps to model the automatic creation of consignment fill-up sales orders in SAP ERP Central Component (ECC).


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by Alok Jaiswal, Consultant, Infosys Limited December 28, 2015
SCM – 
Alok Jaiswal explains how product interchangeability can be configured to be run in SAP Advanced Planning and Optimization (SAP APO) Supply Network Planning (SNP) using a set of various strategies in heuristics, capable-to-match (CTM), and SNP Optimizer algorithms.

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by Alok Jaiswal, Consultant, Infosys Limited November 24, 2015
SCM – 
Alok Jaiswal explains how master data for SAP Advanced Planning and Optimization (SAP APO) Demand Planning (DP) can be easily maintained via special procedures. This is useful for mapping the planning process for changing business requirements without any data loss and with minimal effort.

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by Arun Negi, Manager, Deloitte Consulting LLP | Jagadeesh Kalwadmath, Consultant, Deloitte Consulting LLP November 18, 2015
SCM – 

Arun Negi and Jagadeesh Kalwadmath explain how to enable shelf life planning for several business processes using SAP Advanced Planning and Optimization (SAP APO).


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by Alistair Thornton, Specialist Leader, Deloitte Consulting October 28, 2015
SCM – 
Alistair Thornton explains how to format reports created with the SAP Advanced Planning and Optimization (SAP APO) demand planning add-in for Microsoft Excel.

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by Alok Jaiswal, Consultant, Infosys Limited October 20, 2015
SCM – 
Alok Jaiswal explains how forecasting can be done not only for finished products but also for dependent requirements in Demand Planning. This is very useful if there are constraints on the availability of components for the finished product. In such a scenario it becomes important to see the impact of the forecast of the finished product at the component level.

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by Alok Jaiswal, Consultant, Infosys Limited September 28, 2015
SCM – 
Alok Jaiswal explains why characteristic-based forecasting (CBF) is very useful when demand for a product is influenced by its attributes (for example, in vehicle sales). In such a scenario, it becomes imperative to carry out forecasting at the product characteristic level.

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