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An improved method for forecasting spare parts demand using extreme value theory
Zhu, Sha; Dekker, Rommert; Jaarsveld, Willem van; … - In: European journal of operational research : EJOR 261 (2017) 1, pp. 169-181
Persistent link: https://www.econbiz.de/10011764109
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Predicting retailer orders with POS and order data : the inventory balance effect
Williams, Brent D.; Waller, Matthew A.; Ahire, Sanjay; … - In: European journal of operational research : EJOR 232 (2014) 3, pp. 593-600
Persistent link: https://www.econbiz.de/10010224959
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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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Inventory - forecasting : mind the gap
Goltsos, Thanos E.; Syntetos, Aris A.; Glock, Christoph H. - In: European journal of operational research : EJOR 299 (2022) 2, pp. 397-419
Persistent link: https://www.econbiz.de/10013207109
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Newsvendor problems : an integrated method for estimation and optimisation
Liu, Congzheng; Letchford, Adam N.; Svetunkov, Ivan - In: European journal of operational research : EJOR 300 (2022) 2, pp. 590-601
Persistent link: https://www.econbiz.de/10013207279
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An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control
Ye, Yuan; Lu, Yonggang; Robinson, Powell; Narayanan, … - In: European journal of operational research : EJOR 303 (2022) 1, pp. 255-272
Persistent link: https://www.econbiz.de/10013363901