- Supply Chain and Inventory Management
- Scheduling and Optimization Algorithms
- Constraint Satisfaction and Optimization
- Advanced Queuing Theory Analysis
- Vehicle Routing Optimization Methods
- Reservoir Engineering and Simulation Methods
- Optimization and Mathematical Programming
- Transportation and Mobility Innovations
- Optimization and Search Problems
- Data Management and Algorithms
- Advanced Manufacturing and Logistics Optimization
- Forecasting Techniques and Applications
- Bayesian Modeling and Causal Inference
- Auction Theory and Applications
- Consumer Market Behavior and Pricing
- Sustainable Supply Chain Management
- Historical and Environmental Studies
- Oil and Gas Production Techniques
- Multi-Criteria Decision Making
- Hydraulic Fracturing and Reservoir Analysis
- Evolutionary Algorithms and Applications
- Diverse academic and cultural studies
- Metaheuristic Optimization Algorithms Research
- Robot Manipulation and Learning
- Scheduling and Timetabling Solutions
University of Edinburgh
2014-2023
Eni (Italy)
2005-2022
Barcelona Supercomputing Center
2021
Universitat Politècnica de Catalunya
2021
Politecnico di Milano
2014-2017
Decision Research
2014
Wageningen University & Research
2009-2012
School of Business and Management
2012
University of Perugia
2012
Electroformed Nickel (United States)
2009-2010
Purpose – The purpose of this paper is to assess whether an existing sourcing strategy can effectively supply products appropriate quality with acceptable levels product waste if applied international perishable chain. authors also analyse the effectiveness be improved by including costs for expected shelf life losses while generating order policies. Design/methodology/approach performance strategies examined in a prototype strawberry Appropriate policies were determined using parameters...
To compare different forecasting methods on demand series we require an error measure. Many measures have been proposed, but when is intermittent some become inapplicable, give counter-intuitive results, and there no agreement which best. We argue that almost all known rank forecasters incorrectly series. propose several new with wider applicability, correct forecaster ranking patterns. call these "mean-based" because they evaluate forecasts against the (possibly time-dependent) mean of...
This paper presents a nonlinear model predictive controller to follow desired 3D trajectories with the end effector of an unmanned aerial manipulator (i.e., multirotor serial arm attached). To knowledge authors, this is first time that such runs online and on board limited computational unit drive kinematically augmented vehicle. Besides trajectory following target, we explore possibility accomplishing other tasks during flight by taking advantage system redundancy. We define several...
The integration of renewable energy into electricity markets poses significant challenges to price stability and increases the complexity market operations. Accurate reliable forecasting is crucial for effective participation, where dynamics can be significantly more challenging predict. Probabilistic forecasting, through prediction intervals, efficiently quantifies inherent uncertainties in prices, supporting better decision-making participants. This study explores enhancement probabilistic...
Enabling human-robot collaboration raises new challenges in safety-oriented robot design and control. Indices that quantitatively describe human injury due to a collision are needed propose suitable pre-collision control strategies. This paper presents novel model-based index built on the concept of dissipated kinetic energy potential inelastic impact. quantity represents fracture lost when occurs, modeling both clamped unclamped cases. It depends reflected mass velocity impact direction....
In this paper, we study the single-item single-stocking location non-stationary stochastic lot sizing problem for a perishable product. We consider fixed and proportional ordering cost, holding cost penalty cost. The item features limited shelf life, therefore also take into account variable of disposal. derive exact analytical expressions to determine expected value inventory different ages. discuss good approximation case in which shelf-life is limited. To tackle problem, introduce two new...
In this paper, a trajectory generation approach using quadratic programming is described for aerial manipulation, i.e., the control of an vehicle equipped with robot arm. The proposed applies online active set strategy to generate feasible joints, in order accomplish tasks defined bounds and constraint inequalities. definition problem acceleration domain allows integrate perform large and, as result, obtain smooth motion joints. A weighting strategy, associated normalization procedure, us...
Abstract Nowadays oilfield development has become more technically and economically challenging a high degree of interdisciplinary interaction is needed to have an effective efficient management the field. The achievement this goal made possible only if all different resources organisation work together sharing same reservoir model. Indeed, main breakthrough behind Integrated Asset Modeling (IAM) combine reservoir, production surface engineering modeling into asset tool that allows...
We present an extended mixed-integer programming formulation of the stochastic lot-sizing problem for static-dynamic uncertainty strategy. The proposed is significantly more time efficient as compared to existing formulations in literature and it can handle variants characterized by penalty costs service level constraints, well backorders lost sales. Also, besides being capable working with a predefined piecewise linear approximation cost function—as case earlier formulations—it has...