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Intermittent demand : linking forecasting to inventory obsolescence
Teunter, Ruud H.; Syntetos, Aris A.; Babai, M. Zied - In: European journal of operational research : EJOR 214 (2011) 3, pp. 606-615
Persistent link: https://www.econbiz.de/10009314902
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Is it better to average probabilities or quantiles?
Lichtendahl, Kenneth C.; Grushka-Cockayne, Yael; … - In: Management science : journal of the Institute for … 59 (2013) 7, pp. 1594-1611
Persistent link: https://www.econbiz.de/10009784145
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Evaluating probabilities: asymmetric scoring rules
Winkler, Robert L. - In: Management science : journal of the Institute for … 40 (1994) 11, pp. 1395-1405
Persistent link: https://www.econbiz.de/10001176015
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Unanimity and compromise among probability forecasters
Clemen, Robert Taylor - In: Management science : journal of the Institute for … 36 (1990) 7, pp. 767-779
Persistent link: https://www.econbiz.de/10001093357
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Forecasting of lead-time demand variance : implications for safety stock calculations
Babai, M. Zied; Yong, Dai; Li, Qinyun; Syntetos, Aris; … - In: European journal of operational research : EJOR 296 (2022) 3, pp. 846-861
Persistent link: https://www.econbiz.de/10013254311
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Supply chain forecasting when information is not shared
Ali, Mohammad M.; Babai, M. Zied; Boylan, John E.; … - In: European journal of operational research : EJOR 260 (2017) 3, pp. 984-994
Persistent link: https://www.econbiz.de/10011714274
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The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes
Rostami-Tabar, Bahman; Babai, M. Zied; Ali, Mohammad; … - In: European journal of operational research : EJOR 273 (2019) 3, pp. 920-932
Persistent link: https://www.econbiz.de/10011987658