This book provides both a broad overview of the forecasting process, covering technological and human aspects alike, and deep insights into algorithms and platform functionalities in the IBP toolbox required to maximize forecast accuracy. Rich in technical and business explanations, it addresses short-, medium- and long-term forecasting processes using functionalities available in demand planning and demand sensing. There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox. Beyond standard procedures, the book also discusses custom approaches (e.g. new segmentation criteria, new outlier detection and correction methods) and new methods (e.g. the use of Markov chains for forecasting sporadic demands), etc. It subsequently benchmarks common practices using these innovative approaches and discusses the results. As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology. In closing, the book provides several useful tips and tricks that should come in handy during project implementation.

Describes out of the box forecasting methods for SAP IBP practitioners Provides guidance on organizational structure, roles, responsibilities and skills for demand planning teams Presents SAP IBP custom use cases for forecasting seasonal and intermittent products Outlines demand planning and forecasting process improvement, executed using the Six Sigma methodology

Autorentext
Robert Kepczynski has more than 20 years' experience in supply chain management and technology. Robert does assess, design and implement people capability models, process design and delivers efficient technology solutions. He is specialized in supply chain planning processes and technologies. Robert took business roles in plant supply / production planning and sequencing, inventory and materials management, warehouse and duty operations, costing and budgeting, in market IBP and S&OP, distribution planning, and in regional & global S&OP, forecasting, demand planning and demand management, and process ownership. Robert led x-functional transformation programs delivering functional optimization and differentiation. His production plant, market and global process experiences was valued in the 2nd worldwide SAP IBP implementation, which has started in 2013. This project proved that Robert has heart, head and hand for IBP. Raghav Jandhyala is a Senior Director of ProductManagement at SAP for SAP IBP responsible for sales and operations planning and unified planning processes and best practices in IBP. Raghav has over 16 years of experience in different fields like Supply Chain Management, Retail and Banking along with strong technical background in development and adoption of business applications. Raghav held various roles in his career as business consultant, development architect, solutions manager and product manager. Raghav is responsible for developing the roadmap for S&OP solution and works with multiple IBP Customers for new innovations and as a trusted advisor for their global rollouts. Ganesh Sankaran is a Supply Chain Management technology practitioner. Ganesh helps clients solve business problems and generate value from their supply chain processes, particularly in the planning domain. Ganesh possesses a skillset that combines deep theoretical insights in SCM and rich implementation experience in SAP solutions further enriched by around seven years of prior software development experience. Alecsandra Dimofte is working for SAP where she started as a supply chain management consultant. Alecsandra was involved in several IBP / S&OP implementation projects which allowed her to play different roles, from integration consultant to functional design lead. Alecsandra contributed to the development of the S&OP practice within her delivery unit and to the growth of the IBP online community by active participation in the space dedicated to IBP.

Inhalt
Introduction.- Building Demand Planning Organization and Competencies.- Efficient and Effective Usage of Out of the Box Statistical Forecasting.- Custom Method to Forecast Seasonal Products.- Custom Method to Forecast Intermittent Products.- Value of Forecasting with Custom Methods.- Improving Short Term Forecast with Demand Sensing.- How to Measure and Improve Forecasting.