Federico Barber
Polytechnic University of Valencia
Dynamic priority schedulingScheduling (computing)AlgorithmMathematical optimizationLocal consistencyBacktrackingConstraint programmingHeuristicConstraint logic programmingConstraint graphConstraint satisfaction dual problemTrainConstraint satisfaction problemMathematicsComputer scienceOperations researchConstraint satisfactionJob shop schedulingHybrid algorithm (constraint satisfaction)Robustness (computer science)
131Publications
19H-index
1,336Citations
Publications 127
Newest
#1Giancarlo Nicolò (Polytechnic University of Valencia)H-Index: 1
#2Sergio Ferrer (Polytechnic University of Valencia)H-Index: 1
Last. Federico Barber (Polytechnic University of Valencia)H-Index: 19
view all 5 authors...
Nowadays,the manufacturing industry consumes almost half of the energy produced on the planet. Within this industry, sustainable scheduling represents a main issue due to the energy efficiency that it is able to achieve. Centralized or decentralized approaches to sustainable scheduling can be found in state-of- the-art techniques using both optimal or heuristic methods. In this paper, a distributed system modelled as a multi-agent framework is proposed to solve energy-aware scheduling problems b...
#1Daniel Morillo Torres (Polytechnic University of Valencia)H-Index: 1
#1Daniel Morillo-Torres (Polytechnic University of Valencia)H-Index: 1
Last. Miguel A. Salido (Polytechnic University of Valencia)H-Index: 20
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This article focuses on obtaining sustainable and energy-efficient solutions for limited resource programming problems. To this end, a model for integrating makespan and energy consumption objectives in multi-mode resource-constrained project scheduling problems (MRCPSP-ENERGY) is proposed. In addition, a metaheuristic approach for the efficient resolution of these problems is developed. In order to assess the appropriateness of theses proposals, the well-known Project Scheduling Problem Library...
2 CitationsSource
#1Sergio Ferrer (Polytechnic University of Valencia)H-Index: 1
#2Giancarlo Nicolò (Polytechnic University of Valencia)H-Index: 1
Last. Federico Barber (Polytechnic University of Valencia)H-Index: 19
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Advance in applied scheduling is a source of innovation in the manufacturing field, where new results help industrial practitioners in production management. The literature of rescheduling problems for single-objective optimization is well study, while there is a lack of extensive studies for the case of rescheduling for multi-objective optimization, especially for energy aware scheduling. This paper extends a previous work over an energy aware scheduling problem, modelled from a real industrial...
1 CitationsSource
#1Daniel Morillo (Pontifical Xavierian University)H-Index: 1
#2Federico Barber (Polytechnic University of Valencia)H-Index: 19
Last. Miguel A. Salido (Polytechnic University of Valencia)H-Index: 20
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Resource-Constrained Project Scheduling Problems (RCPSP) are some of the most important scheduling problems due to their applicability to real problems and their combinatorial complexity (NP-hard). In the literature, it has been shown that metaheuristic algorithms are the main option to deal with real-size problems. Among them, population-based algorithms, especially genetic algorithms, stand out for being able to achieve the best near-optimal solutions in reasonable computational time. One of t...
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This paper addresses an energy-based extension of the Multimode Resource-Constrained Project Scheduling Problem (MRCPSP) called MRCPSP-ENERGY. This extension considers the energy consumption as an additional resource that leads to different execution modes (and durations) of the activities. Consequently, different schedules can be obtained. The objective is to maximize the efficiency of the project, which takes into account the minimization of both makespan and energy consumption. This is a well...
2 CitationsSource
#1Miguel A. Salido (Polytechnic University of Valencia)H-Index: 20
#2Joan Escamilla (Polytechnic University of Valencia)H-Index: 4
Last. Adriana Giret (Polytechnic University of Valencia)H-Index: 20
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Abstract Manufacturing industries are faced with environmental challenges, so their industrial processes must be optimized in terms of both profitability and sustainability. Since most of these processes are dynamic, the previously obtained solutions cannot be valid after disruptions. This paper focuses on recovery in dynamic job-shop scheduling problems where machines can work at different rates. Machine speed scaling is an alternative framework to the on/off control framework for production sc...
23 CitationsSource
Source
#1Joan Escamilla (Polytechnic University of Valencia)H-Index: 4
#2Miguel A. Salido (Polytechnic University of Valencia)H-Index: 20
Last. Federico Barber (Polytechnic University of Valencia)H-Index: 19
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Many real life problems can be modeled as a scheduling problem. The main objective of these problems is to obtain optimal solutions in terms of processing time, cost and quality. Nowadays, energy-efficiency is also taken into consideration. However, these problems are NP-hard, so many search techniques are not able to obtain a solution in a reasonable time. In this paper, a genetic algorithm is developed to solve an extended version of the classical job-shop scheduling problem. In the extended v...
14 CitationsSource
#1Miguel A. Salido (Polytechnic University of Valencia)H-Index: 20
#2Joan Escamilla (Polytechnic University of Valencia)H-Index: 4
Last. Min Dai (NUAA: Nanjing University of Aeronautics and Astronautics)H-Index: 5
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Many real-world problems are known as planning and scheduling problems, where resources must be allocated so as to optimize overall performance objectives. The traditional scheduling models consider performance indicators such as processing time, cost, and quality as optimization objectives. However, most of them do not take into account energy consumption and robustness. We focus our attention in a job-shop scheduling problem where machines can work at different speeds. It represents an extensi...
11 CitationsSource
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