0000000000393870

AUTHOR

M. Sacramento Quintanilla

showing 8 related works from this author

Pre-emption in resource-constrained project scheduling

2008

Abstract The Resource-Constrained Project Scheduling Project (RCPSP), together with some of its extensions, has been widely studied. A fundamental assumption in this basic problem is that activities in progress are non-preemptable. Very little effort has been made to uncover the potential benefits of discrete activity pre-emption, and the papers dealing with this issue have reached the conclusion that it has little effect on project length when constant resource availability levels are defined. In this paper we show how three basic elements of many heuristics for the RCPSP – codification, serial SGS and double justification – can be adapted to deal with interruption. The paper is mainly foc…

ScheduleInformation Systems and ManagementGeneral Computer ScienceOperations researchGeneralizationbusiness.industryComputer scienceSchedule (project management)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringScheduling (computing)Range (mathematics)Resource (project management)Constant (computer programming)Modeling and SimulationResource managementProject managementHeuristicsbusinessEuropean Journal of Operational Research
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A multistage heuristic for storage and retrieval problems in a warehouse with random storage

2017

The warehouse is one of the essential components of logistics and supply chains. The efficiency of the whole chain is affected by the performance of warehouse operations and, more particularly, the storage and retrieval of goods. This paper considers a storage and retrieval problem in a real warehouse with random storage and different types of forklifts, depending on the locations they can access. The problem deals with selecting locations to store/retrieve a predefined set of pallets, assigning an adequately skilled forklift to each operation and determining the order in which each forklift will perform its operations so that the total employed time is minimized. The problem is solved heur…

Mathematical optimization021103 operations researchComputer scienceHeuristicStrategy and ManagementSupply chain0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreComputer Science ApplicationsWarehouseScheduling (computing)Set (abstract data type)Management of Technology and Innovation0202 electrical engineering electronic engineering information engineeringKey (cryptography)020201 artificial intelligence & image processingData miningPalletBusiness and International ManagementHeuristicscomputerInternational Transactions in Operational Research
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Pre-processing techniques for resource allocation in the heterogeneous case

1998

The Heterogeneous Resource Allocation Problem (HRAP) deals with the allocation of resources, whose units do not all share the same characteristics, to an established plan of activities. Each activity requires one or more units of each resource which possess particular characteristics, and the objective is to find the minimum number of resource units of each type, necessary to carry out all the activities within the plan, in such a way that two activities whose processing overlaps in time do not have the same resource unit assigned. The HRAP is an NP-Complete problem and it is possible to optimally solve medium-sized HRAP instances in a reasonable time. The objective of this work is to devel…

Mathematical optimizationInformation Systems and ManagementResource (project management)General Computer ScienceComputer scienceModeling and SimulationResource allocationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringEuropean Journal of Operational Research
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A hybrid genetic algorithm for the resource-constrained project scheduling problem

2008

Abstract In this paper we propose a Hybrid Genetic Algorithm (HGA) for the Resource-Constrained Project Scheduling Problem (RCPSP). HGA introduces several changes in the GA paradigm: a crossover operator specific for the RCPSP; a local improvement operator that is applied to all generated schedules; a new way to select the parents to be combined; and a two-phase strategy by which the second phase re-starts the evolution from a neighbour’s population of the best schedule found in the first phase. The computational results show that HGA is a fast and high quality algorithm that outperforms all state-of-the-art algorithms for the RCPSP known by the authors of this paper for the instance sets j…

Scheduleeducation.field_of_studyMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencebusiness.industryResource constrainedCrossoverPopulationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringProject scheduling problemModeling and SimulationGenetic algorithmArtificial intelligencebusinessHeuristicseducationEuropean Journal of Operational Research
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A Population-Based Approach to the Resource-Constrained Project Scheduling Problem

2004

We present a population-based approach to the RCPSP. The procedure has two phases. The first phase handles the initial construction of a population of schedules and these are then evolved until high quality solutions are obtained. The evolution of the population is driven by the alternative application of an efficient improving procedure for locally improving the use of resources, and a mechanism for combining schedules that blends scatter search and path relinking characteristics. The objective of the second phase is to explore in depth those vicinities near the high quality schedules. Computational experiments on the standard j120 set, generated using ProGen, show that our algorithm produ…

education.field_of_studyScheduleMathematical optimizationComputer sciencemedia_common.quotation_subjectPopulationResource constrainedGeneral Decision SciencesManagement Science and Operations ResearchProject scheduling problemSet (abstract data type)Path (graph theory)Theory of computationQuality (business)Heuristicseducationmedia_commonAnnals of Operations Research
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A Modified Tabu Thresholding Approach for the Generalised Restricted Vertex Colouring Problem

1996

We present a modification of the Tabu Thresholding (TT) approach and apply it to the solution of the generalised restricted vertex colouring problem. Both the bounded and unbounded cases are treated. In our algorithms, the basic TT elements are supplemented with an evaluation function that depends on the best solution obtained so far, together with a mechanism which reinforces the aggressive search in the improving phase, and new diversification strategies which depend on the state of the search. The procedure is illustrated through the solution of the problem of minimising the number of workers in a heterogeneous workforce.

Vertex (graph theory)Mathematical optimizationComputer scienceBounded functionGraph colouringState (functional analysis)Evaluation functionThresholding
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Resource-constrained project scheduling: A critical activity reordering heuristic

2003

Abstract In this paper, we present a new metaheuristic algorithm for the resource-constrained project-scheduling problem. The procedure is a non-standard implementation of fundamental concepts of tabu search without explicitly using memory structures embedded in a population-based framework. The procedure makes use of a fan search strategy to intensify the search, whereas a strategic oscillation mechanism loosely related to the forward/backward technique provides the necessary diversification. Our implementation employs the topological order (TO) representation of schedules. To explore the TO vector space we introduce three types of moves, two of them based on the concept of relative critic…

Mathematical optimizationeducation.field_of_studyScheduleInformation Systems and ManagementGeneral Computer ScienceHeuristicComputer scienceHeuristic (computer science)PopulationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchModeling and SimulationFeature (machine learning)Guided Local SearcheducationRepresentation (mathematics)HeuristicsMetaheuristicEuropean Journal of Operational Research
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Justification and RCPSP: A technique that pays

2005

Abstract The objective of this paper is to show that justification is a simple technique that can be easily incorporated in diverse algorithms for the resource-constrained project scheduling problem––improving the quality of the schedules generated without generally requiring more computing time. The results of incorporating this technique in 22 different algorithms are shown. Fifteen of the new algorithms that use double justification outperform seven of the best heuristic algorithms that do not use justification. The tests have been performed on the standard test set j120 for the RCPSP generated using ProGen.

ScheduleMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceHeuristicModeling and SimulationSchedule (project management)Management Science and Operations ResearchAlgorithmIndustrial and Manufacturing EngineeringEuropean Journal of Operational Research
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