Juan R. Trapero
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View article: Enhancing Unconstrained Demand Forecasting Using Temporal Hierarchies in Lost-Sales Inventory Systems
Enhancing Unconstrained Demand Forecasting Using Temporal Hierarchies in Lost-Sales Inventory Systems Open
View article: Censored Data Forecasting: Applying Tobit Exponential Smoothing with Time Aggregation
Censored Data Forecasting: Applying Tobit Exponential Smoothing with Time Aggregation Open
This study introduces a novel approach to forecasting by Tobit Exponential Smoothing with time aggregation constraints. This model, a particular case of the Tobit Innovations State Space system, handles censored observed time series effect…
View article: Tobit Exponential Smoothing, towards an enhanced demand planning in the presence of censored data
Tobit Exponential Smoothing, towards an enhanced demand planning in the presence of censored data Open
ExponenTial Smoothing (ETS) is a widely adopted forecasting technique in both research and practical applications. One critical development in ETS was the establishment of a robust statistical foundation based on state space models with a …
View article: Understanding the relationship between demand forecasting and fill-rate
Understanding the relationship between demand forecasting and fill-rate Open
View article: Stock control analytics: a data-driven approach to compute the fill rate considering undershoots
Stock control analytics: a data-driven approach to compute the fill rate considering undershoots Open
One of the most frequently used inventory policies is the order-point, order-up-to-level ( s , S ) system. In this system, the inventory is continuously reviewed and a replenishment request is placed whenever the inventory position drops t…
View article: Understanding the Relationship between Fill Rate, Demand Distribution, and Modelling Uncertainty
Understanding the Relationship between Fill Rate, Demand Distribution, and Modelling Uncertainty Open
View article: Forecasting: theory and practice
Forecasting: theory and practice Open
View article: Forecasting: theory and practice
Forecasting: theory and practice Open
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. …
View article: Autonomous CPSoS for Cognitive Large Manufacturing Industries
Autonomous CPSoS for Cognitive Large Manufacturing Industries Open
The general aim of a cognitive Cyber Physical System of Systems (CPSoS) is to provide managed access to data in a smart fashion such that sensing and actuation capabilities are connected. Whilst there is significant funding and research de…
View article: Impact of the forecast price on economic results for methanol production from olive waste
Impact of the forecast price on economic results for methanol production from olive waste Open
The development of circular economies due to the limitation of natural resources is becoming a common strategy of paramount importance among different countries. In Spain, given the strategic nature of its olive industry, trying to value o…
View article: Connecting forecasting and inventory performance: a complex task
Connecting forecasting and inventory performance: a complex task Open
View article: Is methanol synthesis from co-gasification of olive pomace and petcoke economically feasible?
Is methanol synthesis from co-gasification of olive pomace and petcoke economically feasible? Open
View article: A literature review on operational decisions applied to collaborative supply chains
A literature review on operational decisions applied to collaborative supply chains Open
Throughout the last decades, collaborative schemes, under an amalgam of different acronyms (ECR, CPFR, VMR, etc.), have been developed to mitigate the problematic Bullwhip effect. Essentially, companies work together by either sharing info…
View article: Stock control analytics: a data-driven approach to compute the fill rate for the (s, S) system considering undershoots
Stock control analytics: a data-driven approach to compute the fill rate for the (s, S) system considering undershoots Open
Inventory policies are traditionally characterized assuming several hypotheses that lead to commit important errors when are used in practical environments. This is the case when the inventory is continuously reviewed by means of the Order…
View article: On the Automatic Identification of Unobserved Components Models
On the Automatic Identification of Unobserved Components Models Open
View article: Optimising forecasting models for inventory planning
Optimising forecasting models for inventory planning Open
View article: Implementation of probabilistic forecasts in a GPU for big data problems
Implementation of probabilistic forecasts in a GPU for big data problems Open
High Performance Computing via General Purpose Graphical Processing Unit (GPU) is a potential instrument to speed up computational times. In a world where big data is becoming a revolution, GPU could play an important role. This work inten…
View article: Optimising Forecasting Models for Inventory Planning
Optimising Forecasting Models for Inventory Planning Open
View article: Time Series Modeling with MATLAB: The SSpace Toolbox
Time Series Modeling with MATLAB: The SSpace Toolbox Open
View article: A Simulink Library for Supply Chain Simulation
A Simulink Library for Supply Chain Simulation Open
View article: Quantile forecast optimal combination to enhance safety stock estimation
Quantile forecast optimal combination to enhance safety stock estimation Open
View article: Empirical safety stock estimation based on kernel and GARCH models
Empirical safety stock estimation based on kernel and GARCH models Open
View article: A support vector machine for model selection in demand forecasting applications
A support vector machine for model selection in demand forecasting applications Open
View article: On the use of multi-step cost functions for generating forecasts
On the use of multi-step cost functions for generating forecasts Open
Accurate forecasts are of principal importance for operations. Exponential smoothing is widely used due to its simplicity, relatively good forecast accuracy, ease of implementation and automation. The literature has continuously improved u…
View article: A novel time-varying bullwhip effect metric: An application to promotional sales
A novel time-varying bullwhip effect metric: An application to promotional sales Open
View article: Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates
Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates Open
View article: Measuring the substitution effects between High Speed Rail and air transport in Spain
Measuring the substitution effects between High Speed Rail and air transport in Spain Open