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Inventory Models with Fixed Costs, Forecast Updates, and Two Delivery Modes

Sethi, Suresh; Yan, Houmin; Zhang, Hanqin - 2011

. At the same time, decisions on how much to order using fast and slow delivery modes are made. Fast and slow orders are …

Persistent link: https://www.econbiz.de/10014218585

Forecasting replenishment orders in retail : value of modelling low and intermittent consumer demand with distributions

Sillanpää, Ville; Liesiö, Juuso - In: International journal of production research 56 (2018) 12, pp. 4168-4185

Persistent link: https://www.econbiz.de/10011901446

When is the next order? : nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders

Schlaich, Tim; Hoberg, Kai - In: European journal of operational research : EJOR 315 (2024) 1, pp. 35-49

Persistent link: https://www.econbiz.de/10014558842

Bayesian inventory management with potential change-points in demand

Wang, Zhe; Mersereau, Adam J. - In: Production and operations management : an international … 26 (2017) 2, pp. 341-359

Persistent link: https://www.econbiz.de/10011655585

Distributionally robust inventory control when demand is a martingale

Xin, Linwei; Goldberg, David Alan - In: Mathematics of operations research 47 (2022) 3, pp. 2387-2414

Persistent link: https://www.econbiz.de/10013375068

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

Predicting Order Variability in Inventory Decisions : A Model of Forecast Anchoring

Chen, Li - 2018

Problem Definition: In this paper, we develop a forecast anchoring model that explains and predicts order variability … capable of predicting both the mean and variance of order quantities observed in experimental studies, and thus extends the … existing literature that focus on predicting the mean order quantities only. It also helps identify possible behavioral causes …

Persistent link: https://www.econbiz.de/10012938390

Dynamic Stochastic Optimization Problems in the Framework of Forecast and Decision Horizons

Sethi, Suresh; Bes, Christian - 2020

In this paper, we develop a rigorous new framework for the concepts of forecast and decision horizons. These concepts are conditional in nature and, in turn, enable us to unify the existing concepts of “strong” and “weak” horizons. Moreover, we are able to precisely state the question of...

Persistent link: https://www.econbiz.de/10014097191

Overconfident Forecasts and Active Portfolio Performance

Kemkhadze, Nato - 2014

The paper examines the problem of portfolio selection based on the forecasts of unknown quality in a mean-variance framework. Early work by Treynor and Black (1973) established a relationship between the correlation of forecasts, the number of independent securities available and the Sharpe...

Persistent link: https://www.econbiz.de/10013061761

The use of time series forecasting in zone order picking systems to predict order pickers' workload

Van Gils, Teun; Ramaekers, Katrien; Caris, An; Cools, Mario - In: International journal of production research 55 (2017) 21, pp. 6380-6393

Persistent link: https://www.econbiz.de/10011798062