LEADER 04480nam  22006615  450 
001 9910337781103321
005 20200705212921.0
010   $a3-030-05381-4
024 7 $a10.1007/978-3-030-05381-9
035   $a(CKB)4100000007758391
035   $a(MiAaPQ)EBC5724743
035   $a(DE-He213)978-3-030-05381-9
035   $a(PPN)235228591
035   $a(EXLCZ)994100000007758391
100   $a20190305d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aImproving Forecasts with Integrated Business Planning$b[electronic resource] $eFrom Short-Term to Long-Term Demand Planning Enabled by SAP IBP /$fby Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (430 pages)
225 1 $aManagement for Professionals,$x2192-8096
311   $a3-030-05380-6 
327   $aIntroduction -- 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.
330   $aThis book provides both a broad overview of the forecasting process, covering technological and human aspects alike, and deep insights into algorithms and platform functionalities in the IBP toolbox required to maximize forecast accuracy. Rich in technical and business explanations, it addresses short-, medium- and long-term forecasting processes using functionalities available in demand planning and demand sensing. There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox. Beyond standard procedures, the book also discusses custom approaches (e.g. new segmentation criteria, new outlier detection and correction methods) and new methods (e.g. the use of Markov chains for forecasting sporadic demands), etc. It subsequently benchmarks common practices using these innovative approaches and discusses the results. As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology. In closing, the book provides several useful tips and tricks that should come in handy during project implementation. .
410  0$aManagement for Professionals,$x2192-8096
606   $aManagement information systems
606   $aIndustrial management
606   $aApplication software
606   $aSales management
606   $aBusiness logistics
606   $aBusiness Process Management$3https://scigraph.springernature.com/ontologies/product-market-codes/522020
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aSales/Distribution$3https://scigraph.springernature.com/ontologies/product-market-codes/524000
606   $aSupply Chain Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519030
606   $aBusiness Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/522030
615  0$aManagement information systems.
615  0$aIndustrial management.
615  0$aApplication software.
615  0$aSales management.
615  0$aBusiness logistics.
615 14$aBusiness Process Management.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aSales/Distribution.
615 24$aSupply Chain Management.
615 24$aBusiness Information Systems.
676   $a025.524
700   $aSankaran$b Ganesh$4aut$4http://id.loc.gov/vocabulary/relators/aut$0964050
702   $aSasso$b Federico$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aKepczynski$b Robert$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChiaraviglio$b Alessandro$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337781103321
996   $aImproving Forecasts with Integrated Business Planning$92186313
997   $aUNINA