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Maximum likelihood approach for demand unconstraining problem with censoring information incompleteness

Fridman, Gregory; Lapina, Maria - In: Journal of revenue and pricing management 15 (2016) 1, pp. 37-51

Persistent link: https://www.econbiz.de/10011441298

Analysis and forecasting of demand during promotions for perishable items

Donselaar, Karel H. van; Jong, Ad de; Broekmeulen, R. … - In: International journal of production economics 172 (2016), pp. 65-75

Persistent link: https://www.econbiz.de/10011442313

Optimizing the level of service quality of a bike-sharing system

Alvarez-Valdes, Ramon; Benavent, Enrique; Bermudez, Jose D. - In: Omega : the international journal of management science 62 (2016), pp. 163-175

Persistent link: https://www.econbiz.de/10011489973

An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect : evidence from U.S. auto industry

Chiang, Chung-Yean; Lin, Winston T.; Suresh, Nallan C. - In: International journal of production economics 177 (2016), pp. 53-65

Persistent link: https://www.econbiz.de/10011503337

Forecasting supply chain sporadic demand with nearest neighbor approaches

Nikolopoulos, Konstantinos; Babai, M. Zied; Bozos, … - In: International journal of production economics 177 (2016), pp. 139-148

Persistent link: https://www.econbiz.de/10011503375

An iterative method for forecasting most probable point of stochastic demand

Behnamian, J.; Fatemi Ghomi, S. M. T.; Karimi, B.; … - In: Journal of industrial engineering international 10 (2014), pp. 1-9

The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most...

Persistent link: https://www.econbiz.de/10011556537