Patents by Inventor Ralph Moessner
Ralph Moessner has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11663617Abstract: Systems and methods are provided for receiving a request for forecasting data to use for new product introduction, the request comprising an indication of a plurality of existing products and accessing data for a plurality of existing curves corresponding to the plurality of existing products. The systems and methods further provide for, based on determining that at least a subset of curves of the plurality of curves comprises a plurality of values, analyzing each value of the plurality of values for each curve of the subset of curves to determine a maximum number of values among all of the curves of the subset of curves, generating a text file comprising a maximum number of value columns corresponding to the maximum number of values, and populating the text file with the data for the plurality of existing curves, including the plurality of values for each curve of the subset of curves.Type: GrantFiled: January 3, 2020Date of Patent: May 30, 2023Assignee: SAP SEInventors: Jan Kellmereit, Ralph Moessner
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Publication number: 20210209626Abstract: Systems and methods are provided for receiving a request for forecasting data to use for new product introduction, the request comprising an indication of a plurality of existing products and accessing data for a plurality of existing curves corresponding to the plurality of existing products. The systems and methods further provide for, based on determining that at least a subset of curves of the plurality of curves comprises a plurality of values, analyzing each value of the plurality of values for each curve of the subset of curves to determine a maximum number of values among all of the curves of the subset of curves, generating a text file comprising a maximum number of value columns corresponding to the maximum number of values, and populating the text file with the data for the plurality of existing curves, including the plurality of values for each curve of the subset of curves.Type: ApplicationFiled: January 3, 2020Publication date: July 8, 2021Inventors: Jan Kellmereit, Ralph Moessner
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Patent number: 10706190Abstract: Methods, systems, and computer-readable storage media for data transfer with a forecast model, the method being executed by one or more processors and including: receiving, by a server-side computing device and from a client-side proxy, a query including a plurality of item references associated to a new item, retrieving, by the server-side computing device, a plurality of data sets from a repository, each of the plurality of data sets including a respective time stream corresponding to a respective item reference, providing, by the server-side computing device, a result data set by aggregating the plurality of data sets, and transmitting, by the server-side computing device, the result data set to the client-side proxy, for forecasting a future time stream of the new item using the forecast model.Type: GrantFiled: May 17, 2017Date of Patent: July 7, 2020Assignee: SAP SEInventors: Jan Kellmereit, Ralph Moessner
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Publication number: 20180336296Abstract: Methods, systems, and computer-readable storage media for data transfer with a forecast model, the method being executed by one or more processors and including: receiving, by a server-side computing device and from a client-side proxy, a query including a plurality of item references associated to a new item, retrieving, by the server-side computing device, a plurality of data sets from a repository, each of the plurality of data sets including a respective time stream corresponding to a respective item reference, providing, by the server-side computing device, a result data set by aggregating the plurality of data sets, and transmitting, by the server-side computing device, the result data set to the client-side proxy, for forecasting a future time stream of the new item using the forecast model.Type: ApplicationFiled: May 17, 2017Publication date: November 22, 2018Inventors: Jan Kellmereit, Ralph Moessner
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Patent number: 8341007Abstract: Systems and methods are disclosed for forecasting demand for objects, such as products, parts, etc. in a managed supply chain. In one embodiment, a method for forecasting demand is provided that comprises the step of determining a forecast profile including a forecast model and a forecast parameter to be assigned to a set of data forming the basis of the forecast. The determining step may include the steps of performing at least one forecast test on the set of data to identify the significance of a forecast model in the set of data, and determining iteratively the value of a forecast parameter, wherein the forecast parameter is determined based on the outcome of performing the at least one forecasting test. Further, the method may include the step of automatically assigning the determined forecast profile to the set of data.Type: GrantFiled: December 22, 2004Date of Patent: December 25, 2012Assignee: SAP AGInventor: Ralph Moessner
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Patent number: 8185347Abstract: A method and apparatus, including computer program products, for determining characteristic parameters on the basis of a series of m values, H_1, H_2, . . . , H_m, over time. The values are descriptive for a predetermined process, and the series has linear characteristics. Differences, denoted as ?_i, between pairs of values of points of the historical time series, the points having a predetermined time distance to each other, denoted as p are computed. The median value, denoted as ?_i_M, of the computed differences ?_i is determined. On the basis of the determined median value ?_i_M, a trend parameter, denoted as T, T being defined as T=?_1_M/p is computed.Type: GrantFiled: December 23, 2004Date of Patent: May 22, 2012Assignee: SAP AktiengesellschaftInventors: Ralph Moessner, Stefan Theis
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Publication number: 20120047079Abstract: Methods and apparatus, including systems and computer program products, for a services architecture design that provides enterprise services having foundation layer functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.Type: ApplicationFiled: October 28, 2011Publication date: February 23, 2012Inventors: Thomas Biesemann, Dieter Krisch, Volker Schott, Michael Meyringer, Otfried Von Geisau, Martin Haerterich, Ralf Becker, Ingo Bruss, Horst Schaude, Silke Storch, Klaus Bahr, Volker Faisst, Ralph Moessner, Vsevolod Barabanov, Andreas Kasparek, Jens Griessmann, Hendrik Geipel, Frank Lindqvist, Oliver Grande, Ute Dittmann, Ricardo Padilha, Martin Walla, Joachim Puteick, Daniel Zimmermann, Thomas Schneider, Tilmann Haeberle, Gerald Krause, Karl-Peter Nos, Peter Schwarze, Daniel Maring, Yongbin He, Martina Lahr, Ingo Pfitzner, Shadab Shafio, Christian Haas, Olaf Schulte, Christoph Lehner, Dietmar Storz, Joachim Barnbeck, Bernhard May, Andrea Sudbrack, Michael Wachter, Thomas Kretz, Monika Kaiser, Andreas Steiner, Gurmeet Singh Dhingra, Andreas Huppert, Ashwin Reddy Yeddula, Keshav B. Desai, Tobias Traxel, Kranthi Kumar Muppala, Muttanna Sarashetti, Kritesh Vasing, Kai-Uwe Pielka, Raja Krishnamoorthy, Jyotsna Sharma, Mohit V. Gadkari, Mukesh Kumar, Toralf Grossmann, Andreas Neumann, Fabian Guenther, Jens Ruths, Matthias Richter, Walter Koller, Philipp Suenderhauf
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Publication number: 20100153158Abstract: Methods and apparatus, including systems and computer program products, for a service architecture design that provides enterprise services having project management functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.Type: ApplicationFiled: December 11, 2008Publication date: June 17, 2010Inventors: Norbert Wex, Roland Kaschner, Dieter Krisch, Michael Meyringer, Volker Faisst, Otfried Von Geisau, Volker Schott, Sabine Lamprecht, Ingo Feucht, Georg Vincent Heryschek, Berthold Wocher, Andrea Sudbrack, Peer Marschall, Arno Mielke, Andre Doerfler, Peter Fitz, Christoph Jungkind, Helgi Thorleifsson, Matthias Tebbe, Ralf Dinkel, Astrid Graeber, Edwin Himmelsbach, Daniel Bock, Martin Osterloh, Silke Massmann, Klaus Herter, Ralph Moessner, Vsevolod Barabanov, Andreas Kasparek, Jens Griessmann, Vytas Cirpus, Tanja Rueckel
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Publication number: 20100082497Abstract: Methods and apparatus, including systems and computer program products, for a services architecture design that provides enterprise services having foundation layer functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.Type: ApplicationFiled: September 18, 2008Publication date: April 1, 2010Applicant: SAP AGInventors: Thomas Biesemann, Dieter Krisch, Volker Schott, Michael Meyringer, Otfried Von Geisau, Martin Haerterich, Ralf Becker, Ingo Bruss, Horst Schaude, Silke Storch, Klaus Bahr, Volker Faisst, Ralph Moessner, Vsevolod Barabanov, Andreas Kasparek, Jens Griessmann, Hendrik Geipel, Frank Lindqvist, Oliver Grande, Ute Dittmann, Ricardo Padilha, Martin Walla, Joachim Puteick, Daniel Zimmermann, Thomas Schneider, Tilmann Haeberle, Gerald Krause, Karl-Peter Nos, Peter Schwarze, Daniel Maring, Yongbin He, Martina Lahr, Ingo Pfitzner, Shadab Shafiq, Christian Haas, Olaf Schulte, Christoph Lehner, Dietmar Storz, Joachim Barnbeck, Bernhard May, Andrea Sudbrack, Michael Wachter, Thomas Kretz, Monika Kaiser, Andreas Steiner, Gurmeet Singh Dhingra, Andreas Huppert, Ashwin Reddy Yeddula, Keshav B. Desal, Tobias Traxel, Kranthi Kumar Muppala, Muttanna Sarashetti, Kritesh Vasing, Kai-Uwe Pielka, Raja Krishnamoorthy, Jyotsna Sharma, Mohit V. Gadkari, Mukesh Kumar, Toralf Grossmann, Andreas Neumann, Fabian Guenther, Jens Ruths, Matthias Richter, Walter Koller, Philipp Suenderhauf
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Patent number: 7239984Abstract: The invention provides methods and apparatus, including computer program products, for correcting outlier values in a series of values representing a predetermined numerical parameter over time. For predetermined time interval with a beginning (b) and end (e) point of the time series, an ex-post forecast time series (s_ep) is calculated using the historical time series (s_h) and a predetermined model function (f). Lower and upper tolerance limit lines are defined using (s_ep) and on a quality function (qf) over the time interval. Beginning at (b), (s_h) is corrected by replacing the first value outside of the tolerance lines by a predetermined value inside the tolerance lines. The (s_ep) is recalculated using (s_h) and (f). The tolerance lines are redefined using the recalculated (s_ep) and (qf) that takes only values where the last outlier value has been replaced. These steps are repeated until all (s_h) outlier values have been replaced.Type: GrantFiled: December 23, 2004Date of Patent: July 3, 2007Assignee: SAP AGInventor: Ralph Moessner
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Publication number: 20050165635Abstract: Systems and methods are disclosed for forecasting demand for objects, such as products, parts, etc. in a managed supply chain. In one embodiment, a method for forecasting demand is provided that comprises the step of determining a forecast profile including a forecast model and a forecast parameter to be assigned to a set of data forming the basis of the forecast. The determining step may include the steps of performing at least one forecast test on the set of data to identify the significance of a forecast model in the set of data, and determining iteratively the value of a forecast parameter, wherein the forecast parameter is determined based on the outcome of performing the at least one forecasting test. Further, the method may include the step of automatically assigning the determined forecast profile to the set of data.Type: ApplicationFiled: December 22, 2004Publication date: July 28, 2005Inventor: Ralph Moessner
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Publication number: 20050137835Abstract: The invention provides methods and apparatus, including computer program products, for correcting outlier values in a series of values over time, the values representing a predetermined numerical parameter, the method comprising the following steps: for a predetermined time interval of the time series, the time interval having a beginning point and an end point, calculating an ex-post forecast time series on the basis of the historical time series and a predetermined model function; defining a lower tolerance limit line and an upper tolerance limit line on the basis of the ex-post forecast time series and on a quality function over the time interval; beginning at the beginning point of the time interval, correcting the historical time series by replacing the first value of the historical time series outside of the tolerance lines by a predetermined value not outside the tolerance lines; recalculating the ex-post forecast time series on the basis of the corrected historical time series (s_h) and the predetermiType: ApplicationFiled: December 23, 2004Publication date: June 23, 2005Inventor: Ralph Moessner
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Publication number: 20050137830Abstract: The invention provides methods and apparatus, including computer program products, for determining characteristic parameters on the basis of a series of m values, H_1, H_2, . . . , H_m, over time, the values being descriptive for a predetermined process, the series having linear characteristics, the method comprising: computing differences, denoted as ?_i, between pairs of values of points of the historical time series, the points having a predetermined time distance to each other, denoted as p; determining the median value, denoted as ?_i_M, of the computed differences ?_i; computing, on the basis of the determined median value ?_i_M, a trend parameter, denoted as T, T being defined as T=?_i_M/p.Type: ApplicationFiled: December 23, 2004Publication date: June 23, 2005Inventors: Ralph Moessner, Stefan Theis
