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Titlebook: Service Parts Planning with mySAP SCM™; Processes, Structure Jörg Thomas Dickersbach Book 20071st edition Springer-Verlag Berlin Heidelberg

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书目名称Service Parts Planning with mySAP SCM™
副标题Processes, Structure
编辑Jörg Thomas Dickersbach
视频video
概述How to implement Service Parts Planning (SPP) in your company.Architecture, functions, structure and interdependencies, system integration
图书封面Titlebook: Service Parts Planning with mySAP SCM™; Processes, Structure Jörg Thomas Dickersbach Book 20071st edition Springer-Verlag Berlin Heidelberg
描述Service parts planning in mySAP SCM 5.0 is part of the service parts management solution that was developed in a joint effort of SAP AG, C- erpillar Logistics Services, Inc. and Ford Motor Company and generally released in 2006. This solution addresses service parts specific functions, and is based on new functionality within SAP APO (plus some functions for monitoring in SAP ICH and business content in SAP Netweaver BI ). The main planning areas of service parts planning are forecasting, inv- tory planning, procurement and distribution – similar as ‘normal’ SAP APO . Nevertheless the functionality is significantly different. Also the ‘look and feel’ of service parts planning is quite different. At the same time the effort for the creation of F1-help was significantly reduced. - cause of these reasons we use screenshots in this book to a comparatively large extent. The purpose of this book is to explain the functionality of service parts planning with mySAP SCM and the covered business processes. The t- get audience of this book is anyone who is considering or is already - volved in the implementation of the SAP service parts management so- tion – whether as project manager, as pro
出版日期Book 20071st edition
关键词APO; Planning; SAP; SAP SCM; SCM; SPP; Service Parts; Service Parts Planning; Spare Parts; Supply Chain Manag
版次1
doihttps://doi.org/10.1007/978-3-540-32652-6
isbn_softcover978-3-642-06911-6
isbn_ebook978-3-540-32652-6
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Forecasting,basis for forecasting is the aggregated demand history (including realignment and interactive changes). Depending on the forecast strategy, not only the demand quantity but also the number of order items and the average demand quantity per order item might be used as an input (per forecast strategy only two out of the three).
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