University of Twente Student Theses

Login

Forecasting demand and creating an inventory policy for Ecorus

Smeekes, B. (2024) Forecasting demand and creating an inventory policy for Ecorus.

[img] PDF
3MB
Abstract:For 8 SKUs and 3 product groups, seven forecasting methods are implemented. Forecasting involved classifying SKUs by trend and seasonality strength, with SES and ARIMA identified as superior methods, offering adaptable solutions capable of capturing diverse demand patterns. Implementing an (s,Q) policy based on accurate forecasts resulted in a 91% average fill rate. A sensitivity analysis explored the impact of safety factors and order quantities on total costs and fill rates, informing iterative refinement of inventory policies to balance cost efficiency and service levels.
Item Type:Essay (Master)
Clients:
Unknown organization, Ens
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:50 technical science in general
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/98764
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page