Visualization and Analysis of Customer Provided Forecasts

Jamilya Nurgazina, Thomas Felberbauer, Klaus Altendorfer, Sarah Zeiml

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Demand forecasts can either be provided by customers or manufacturing companies use own common prediction models to estimate the customer demand. This paper provides the first results of a research project with a focus on visualization of forecast uncertainty for customer provided forecasts. The visualization concept described in this paper is developed to analyse systematic and unsystematic forecasting behaviours with respect to periods before delivery. The aim of the developed visualization concept is to provide support for practitioners in the area of production planning with a special attention on forecast uncertainty in the supply chain. Compared to a classical order analysis the paper shows the advantage of chronological forecast quality monitoring. In future research the visualisation concept should be extended to an improved decision support tool in production and supply chain planning.
Original languageEnglish
Title of host publication18. ASIM Fachtagung
Pages445-454
Publication statusPublished - 2019
Event18. ASIM Fachtagung - Chemnitz, Germany
Duration: 18 Sep 201920 Sep 2019

Conference

Conference18. ASIM Fachtagung
CountryGermany
CityChemnitz
Period18.09.201920.09.2019

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