Judgmental forecasting: A review of progress over the last 25 years

M Lawrence, P Goodwin, M O'Connor… - International Journal of …, 2006 - Elsevier
The past 25 years has seen phenomenal growth of interest in judgemental approaches to
forecasting and a significant change of attitude on the part of researchers to the role of …

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 …

[图书][B] Inventory and production management in supply chains

EA Silver, DF Pyke, DJ Thomas - 2016 - taylorfrancis.com
Authored by a team of experts, the new edition of this bestseller presents practical
techniques for managing inventory and production throughout supply chains. It covers the …

[图书][B] Business forecasting

JE Hanke, DW Wichern - 2005 - books.google.com
This top-selling book presents, in a straightforward, application-driven manner, the basic
statistical techniques necessary for preparing individual business forecasts and long-range …

Combining probability distributions from experts in risk analysis

RT Clemen, RL Winkler - Risk analysis, 1999 - Springer
This paper concerns the combination of experts' probability distributions in risk analysis,
discussing a variety of combination methods and attempting to highlight the important …

[图书][B] Market response models: Econometric and time series analysis

DM Hanssens, LJ Parsons, RL Schultz - 2003 - books.google.com
From 1976 to the beginning of the millennium—covering the quarter-century life span of this
book and its predecessor—something remarkable has happened to market response …

Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics

R Brau, J Aloysius, E Siemsen - Journal of operations …, 2023 - Wiley Online Library
Our research examines how to integrate human judgment and statistical algorithms for
demand planning in an increasingly data‐driven and automated environment. We use a …

[HTML][HTML] Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach

L Zhou, C Zhao, N Liu, X Yao, Z Cheng - Engineering applications of …, 2023 - Elsevier
Individuals in any country are badly impacted both economically and physically whenever
an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible …

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 …

[HTML][HTML] Judgmental selection of forecasting models

F Petropoulos, N Kourentzes, K Nikolopoulos… - Journal of Operations …, 2018 - Elsevier
In this paper, we explored how judgment can be used to improve the selection of a
forecasting model. We compared the performance of judgmental model selection against a …