Forecast combinations: An over 50-year review

X Wang, RJ Hyndman, F Li, Y Kang - International Journal of Forecasting, 2023 - Elsevier
Forecast combinations have flourished remarkably in the forecasting community and, in
recent years, have become part of mainstream forecasting research and activities …

Supply chain forecasting: Theory, practice, their gap and the future

AA Syntetos, Z Babai, JE Boylan, S Kolassa… - European Journal of …, 2016 - Elsevier
Abstract Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating
demand requirements at one echelon. It involves complex issues such as supply chain …

An investigation of the role of supply chain visibility into the Scottish blood supply chain

S Hamadneh, O Pedersen, M Alshurideh… - J. Legal Ethical & Regul …, 2021 - HeinOnline
The management of the blood supply chain is considered of vital importance. This study
explores the role of supply chain visibility in the inventory and demand planning of blood …

Scaleformer: Iterative multi-scale refining transformers for time series forecasting

A Shabani, A Abdi, L Meng, T Sylvain - arxiv preprint arxiv:2206.04038, 2022 - arxiv.org
The performance of time series forecasting has recently been greatly improved by the
introduction of transformers. In this paper, we propose a general multi-scale framework that …

OR in spare parts management: A review

Q Hu, JE Boylan, H Chen, A Labib - European Journal of Operational …, 2018 - Elsevier
Spare parts are held to reduce the consequences of equipment downtime, playing an
important role in achieving the desired equipment availability at a minimum economic cost …

An integrated Fuzzy MCDM approach for modelling and prioritising the enablers of responsiveness in automotive supply chain using Fuzzy DEMATEL, Fuzzy AHP …

R Sathyan, P Parthiban, R Dhanalakshmi, MS Sachin - Soft Computing, 2023 - Springer
In this dynamic environment with unexpected changes and high market rivalry, supply
chains focus more on executing responsive strategies with minimum costs. This research …

[HTML][HTML] A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality

Y Tadayonrad, AB Ndiaye - Supply Chain Analytics, 2023 - Elsevier
Forecasting demand and determining safety stocks are key aspects of supply chain
planning. Demand forecasting involves predicting future demand for a product or service …

Intermittent demand: Linking forecasting to inventory obsolescence

RH Teunter, AA Syntetos, MZ Babai - European Journal of Operational …, 2011 - Elsevier
The standard method to forecast intermittent demand is that by Croston. This method is
available in ERP-type solutions such as SAP and specialised forecasting software packages …

The human factor in supply chain forecasting: A systematic review

HN Perera, J Hurley, B Fahimnia, M Reisi - European Journal of …, 2019 - Elsevier
Demand forecasts are the lifeblood of supply chains. Academic literature and common
industry practices indicate that demand forecasts are often subject to human interventions …

Integrating human judgement into quantitative forecasting methods: A review

M Arvan, B Fahimnia, M Reisi, E Siemsen - Omega, 2019 - Elsevier
Product forecasts are a critical input into sourcing, procurement, production, inventory,
logistics, finance and marketing decisions. Numerous quantitative models have been …