[HTML][HTML] M5 accuracy competition: Results, findings, and conclusions
In this study, we present the results of the M5 “Accuracy” competition, which was the first of
two parallel challenges in the latest M competition with the aim of advancing the theory and …
two parallel challenges in the latest M competition with the aim of advancing the theory and …
[HTML][HTML] The M5 competition: Background, organization, and implementation
The M5 competition follows the previous four M competitions, whose purpose is to learn from
empirical evidence how to improve forecasting performance and advance the theory and …
empirical evidence how to improve forecasting performance and advance the theory and …
Comparison of statistical and machine learning methods for daily SKU demand forecasting
Daily SKU demand forecasting is a challenging task as it usually involves predicting
irregular series that are characterized by intermittency and erraticness. This is particularly …
irregular series that are characterized by intermittency and erraticness. This is particularly …
Exploring the representativeness of the M5 competition data
The main objective of the M5 competition, which focused on forecasting the hierarchical unit
sales of Walmart, was to evaluate the accuracy and uncertainty of forecasting methods in the …
sales of Walmart, was to evaluate the accuracy and uncertainty of forecasting methods in the …
Optimization of fuzzy inventory lot-size with scrap and defective items under inspection policy
The paper aims to provide a technical framework for the enactment of procedures for the
production management of large-scale industry. During production, the inspection process …
production management of large-scale industry. During production, the inspection process …
Predicting/hypothesizing the findings of the M5 competition
The scientific method consists of making hypotheses or predictions and then carrying out
experiments to test them once the actual results have become available, in order to learn …
experiments to test them once the actual results have become available, in order to learn …
Model selection in reconciling hierarchical time series
Abstract Model selection has been proven an effective strategy for improving accuracy in
time series forecasting applications. However, when dealing with hierarchical time series …
time series forecasting applications. However, when dealing with hierarchical time series …
Commentary on the M5 forecasting competition
S Kolassa - International Journal of Forecasting, 2022 - Elsevier
The M5 forecasting competition is another milestone in the field of forecasting, especially as
it may have been the first exposure for many data scientists to probabilistic and quantile …
it may have been the first exposure for many data scientists to probabilistic and quantile …
Neural network for a novel disturbance optimal control model for inventory and production planning in a four-echelon supply chain with reverse logistic
A Pooya, A Mansoori, M Eshaghnezhad… - Neural Processing …, 2021 - Springer
The present paper is devoted to modeling and solving the inventory and production
planning in a four-echelon supply chain (SC) with reverse logistics, from supplier to after …
planning in a four-echelon supply chain (SC) with reverse logistics, from supplier to after …
A control algorithm for a non-stationary batch service production system using Kalman filter
H Yousefnejad, MS Monfared - Expert Systems with Applications, 2022 - Elsevier
This paper presents a dynamically optimized control algorithm for a fully automated batch
service production process, with non-stationary nature of order arrivals. The problem of …
service production process, with non-stationary nature of order arrivals. The problem of …