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Operational research in the time of COVID-19 : the "science for better" or worse in the absence of hard data1
Nikolopoulos, Konstantinos; Tsinopoulos, Christos; … - In: Journal of the Operational Research Society 74 (2023) 2, pp. 448-449
Persistent link: https://www.econbiz.de/10014317542
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Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: Journal of the Operational Research Society 74 (2023) 3, pp. 840-859
Persistent link: https://www.econbiz.de/10014332223
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A time-expanded network design model for staff allocation in mail centres
Thorburn, Hamish; Sachs, Anna-Lena; Fairbrother, Jamie; … - In: Journal of the Operational Research Society 75 (2024) 10, pp. 1949-1964
Persistent link: https://www.econbiz.de/10015188505
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Operational Research : methods and applications
Petropoulos, Fotios; Laporte, Gilbert; Aktas, Emel; … - In: Journal of the Operational Research Society 75 (2024) 3, pp. 423-617
Persistent link: https://www.econbiz.de/10014555725
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To aggregate or not to aggregate : forecasting of finite autocorrelated demand
Rostami-Tabar, Bahman; Babai, M. Zied; Syntetos, Aris A. - In: Journal of the Operational Research Society 74 (2023) 8, pp. 1840-1859
Persistent link: https://www.econbiz.de/10014336347
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John Edward Boylan, 1959–2023
Syntetos, Aris A. - In: Journal of the Operational Research Society 74 (2023) 8, pp. 1837-1839
Persistent link: https://www.econbiz.de/10014336409