Kiosk Strategic Demand Forecasting with Scenario Planning: A case study at SITA

Master thesis (2022)

Authors

J. LIU Civil Engineering & Geosciences

Contributors

J. Rezaei Transport and Logistics - TPM (coach)
A.J. Pel Transport and Planning - CEG (supervisor 1)
M.Y. Maknoon Transport and Logistics - TPM (supervisor 2)
Faculty
Civil Engineering & Geosciences
Copyright: © 2022 JIshan LIU
ARIMA Demand Forecasting SARIMA Quantitative Forecasting Methods Qualitative Forecasting Methods Residual Analysis
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Published Date

19-12-2022

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

SITA is the world’s leading specialist in air transport communications and information technology which works with around 400 air transport members and has 2800 customers in 190 countries. TS6 kiosk is the newest generation of its kiosk family and is facing a complicated situation now. Usually, the production of a kiosk is using make-to-order methods. However, if this method is adopted, the customers of SITA can not receive their productions within the expected periods of time. Besides this, SITA also can not get the procurement discount from the suppliers if they only purchase a low volume and do not make changes. In order to solve this problem, demand forecasting is conducted using the historical sales data of the TS6 kiosk. Through the literature review, suitable qualitative forecasting methods and quantitative forecasting methods which were mainly used in the FMCG industry are got together and combined to increase the forecast accuracy in this research to come out with the final forecast result of the TS6 kiosk. This research also explores the possibility of demand forecasting for the slow-moving consuming industry. By successfully conducting the final forecast, the result can help SITA to shorten procurement lead time so as to meet customers’ expectations as well as save total costs.
KeyWords: Demand Forecasting, Quantitative Forecasting Methods, Qualitative Forecasting Methods, ARIMA, SARIMA, Residual Analysis.