1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKauf, Peter-
dc.contributor.authorOtt, Thomas-
dc.date.accessioned2018-03-22T09:58:51Z-
dc.date.available2018-03-22T09:58:51Z-
dc.date.issued2016-
dc.identifier.urihttp://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdfde_CH
dc.identifier.urihttps://www.youtube.com/watch?v=NF_KG0bIjZUde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/4167-
dc.description.abstractSuccessful demand planning relies on accurate demand forecasts. Existing demand planning software typically employs (univariate) time series models for forecasting. These methods work well if the demand of a product follows regular patterns. Their power and accuracy are however limited if the patterns are disturbed and the demand is driven by irregular external factors such as promotions, events or specific weather conditions. PrognosiX AG is a start-up company that provides user focused software solutions taking into account external drivers for improved forecasting. The scientific basis has been laid by our research consortium. We developed a novel high-performance forecasting methodology that combines various forecasting approaches with situation-dependent strengths. Yet, to substantiate the impact of this methodology, we were left with the question how to measure and compare the performance or accuracy of different forecasting methods. Standard measures such as root mean square error (RMSE) and mean absolute percentage error (MAPE) may allow for ranking the methods according to their accuracy, but in many cases these measures are difficult to interpret or the rankings are incoherent among different measures. Moreover, the impact of forecasting inaccuracies is usually not reflected by standard measures. In our contribution, we will discuss this issue and define alternative measures that provide intuitive guidance for decision makers and users of demand forecasting. We will describe how such measures, together with forecasting technology, can be applied in realistic cases of big and small data – such that forecasts can be turned into real value.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectData sciencede_CH
dc.subject.ddc004: Informatikde_CH
dc.titleHumans and algorithms : creation and measurement of economic value in demand forecastingde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.conference.details3rd Swiss Conference on Data Science, Winterthur, 16. September 2016de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
zhaw.webfeedData Management & Visualisationde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.
Show simple item record
Kauf, P., & Ott, T. (2016). Humans and algorithms : creation and measurement of economic value in demand forecasting. 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016. http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf
Kauf, P. and Ott, T. (2016) ‘Humans and algorithms : creation and measurement of economic value in demand forecasting’, in 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016. Available at: http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf.
P. Kauf and T. Ott, “Humans and algorithms : creation and measurement of economic value in demand forecasting,” in 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016, 2016. [Online]. Available: http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf
KAUF, Peter und Thomas OTT, 2016. Humans and algorithms : creation and measurement of economic value in demand forecasting. In: 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016 [online]. Conference presentation. 2016. Verfügbar unter: http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf
Kauf, Peter, and Thomas Ott. 2016. “Humans and Algorithms : Creation and Measurement of Economic Value in Demand Forecasting.” Conference presentation. In 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016. http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf.
Kauf, Peter, and Thomas Ott. “Humans and Algorithms : Creation and Measurement of Economic Value in Demand Forecasting.” 3rd Swiss Conference on Data Science, Winterthur, 16. September 2016, 2016, http://www.zhaw.ch/storage/hochschule/institute-zentren/datalab/SDS/2016/Slides/kauf.pdf.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.