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Estimating uncertainties using judgmental forecasts with expert heterogeneity

Bansal, Saurabh; Gutierrez, Genaro J. - In: Operations research 68 (2020) 2, pp. 363-380

Persistent link: https://www.econbiz.de/10012213337

Desirability bias in foresight : consequences for decision quality based on Delphi results

Ecken, Philipp; Gnatzy, Tobias; Gracht, Heiko von der - In: Technological forecasting & social change : an … 78 (2011) 9, pp. 1654-1670

Persistent link: https://www.econbiz.de/10009428213

Operations & supply chain management : world class theory and practice

Verma, Rohit; Boyer, Kenneth K. - 2010 - 1. ed., internat. student ed.

Persistent link: https://www.econbiz.de/10003798430

Forecast quality improvement with action research : a success story at PharmaCo

Phillips, Christina Jane; Nikolopoulos, Konstantinos - In: International journal of forecasting 35 (2019) 1, pp. 129-143

Persistent link: https://www.econbiz.de/10012300587

A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains

Pietukhov, Rostyslav; Ahtamad, Mujthaba; Faraji-Niri, Mona - In: Supply chain analytics 4 (2023), pp. 1-9

This study investigates the potential of predictive analytics in improving Key Performance Indicators (KPIs) forecasting by leveraging Lean implementation data in supply chain enterprises. A novel methodology is proposed, incorporating two key enhancements: using Lean maturity assessments as a...

Persistent link: https://www.econbiz.de/10014516544

Improving the predictive validity of quality function deployment by conjoint analysis: a Monte Carlo comparison

Baier, Daniel; Brusch, Michael - In: Operations research proceedings 2005 : selected papers …, (pp. 619-624). 2006

Persistent link: https://www.econbiz.de/10003347799

Quality prediction modelling for software customisation in the absence of defect data

Qin, Zheng; Wang, Danping - In: International journal of public policy 6 (2010) 3/4, pp. 336-358

Persistent link: https://www.econbiz.de/10008696031

A dynamic quality control approach by improving dominant factors based on improved principal component analysis

Diao, Guangzhou; Zhao, Liping; Yao, Yiyong - In: International journal of production research 53 (2015) 14, pp. 4287-4303

Persistent link: https://www.econbiz.de/10011302768

Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted of samples

Lesany, S. A.; Koochakzadeh, A.; Fatemi Ghomi, S. M. T. - In: International journal of production research 52 (2014) 6, pp. 1771-1786

Persistent link: https://www.econbiz.de/10010257293

Artificial Neural Networks as a quality loss function for Six Sigma

Uluskan, Meryem - In: Total quality management & business excellence 31 (2020) 16, pp. 1811-1828

Persistent link: https://www.econbiz.de/10012385061

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