Search results for "Job shop scheduling"

showing 10 items of 40 documents

Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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Tabu Search to Plan Schedules in a Multiskill Customer Contact Center

2006

International audience; We have studied a realistic case of scheduling problem in a customer contact center, dealing with multiskill agents. Our model combines the last two steps of the standard approach by determining shifts and by assigning them to agents at the same time (scheduling and rostering). Moreover, we have considered realistic vacations, according to legal constraints and preferences of agents. We have envisioned entire weeks of work, with variable meal times and meal durations, without overtime. In this paper, we define the problem and describe a Tabu search based solution.

021103 operations researchJob shop schedulingOperations research[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO]Computer science05 social sciencesReal-time computing0211 other engineering and technologies02 engineering and technologyDynamic priority scheduling[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]Fair-share schedulingTabu searchScheduling (computing)Variable (computer science)Nurse scheduling problemTwo-level scheduling0502 economics and business050207 economics[ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO]
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Asymmetry matters: Dynamic half-way points in bidirectional labeling for solving shortest path problems with resource constraints faster

2017

Abstract With their paper “Symmetry helps: Bounded bi-directional dynamic programming for the elementary shortest path problem with resource constraints” [Discrete Optimization 3, 2006, pp. 255–273] Righini and Salani introduced bounded bidirectional dynamic programming (DP) as an acceleration technique for solving variants of the shortest path problem with resource constraints (SPPRC). SPPRCs must be solved iteratively when vehicle routing and scheduling problems are tackled via Lagrangian relaxation or column-generation techniques. Righini and Salani and several subsequent works have shown that bounded bidirectional DP algorithms are often superior to their monodirectional counterparts, s…

050210 logistics & transportationMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceJob shop scheduling05 social sciences0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringDynamic programmingsymbols.namesakeLagrangian relaxationModeling and SimulationDiscrete optimizationBounded function0502 economics and businessShortest path problemVehicle routing problemsymbolsK shortest path routingMathematicsEuropean Journal of Operational Research
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Schedulability analysis of window-constrained execution time tasks for real-time control

2003

Feasibility tests for hard real-time systems provide information about the schedulability of a set of tasks. However, this information is a yes or no answer whether the task set achieves the test or not. From the system design point of view, it would be useful to have more information, for example, how much can one vary some task parameters, such as computation time, without jeopardizing the system feasibility. The aim of the work is to provide a method to determine how much a task can increase its computation time, maintaining the system feasibility under a dynamic priority scheduling. This extra time can be determined not only in all the task activations, but in n of a window of m task in…

Adaptive controlJob shop schedulingReal-time Control SystemComputer scienceControl systemReal-time computingSystems designFault toleranceDynamic priority schedulingScheduling (computing)Proceedings 14th Euromicro Conference on Real-Time Systems. Euromicro RTS 2002
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Application of learning pallets for real-time scheduling by use of artificial neural network

2011

Author's version of a chapter in the book: 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA). Also available from the publisher at: http://dx.doi.org/10.1109/SKIMA.2011.6089986 Generally, this paper deals with the problem of autonomy in logistics. Specifically here, a complex problem in inbound logistics is considered as real-time scheduling in a stochastic shop floor problem. Recently, in order to comply with real-time decisions, autonomous logistic objects have been suggested as an alternative. Since pallets are common used objects in carrying materials (finished or semi-finished), so they have the possibility to undertake the …

EngineeringJob shop schedulingArtificial neural networkbusiness.industryVDP::Technology: 500Distributed objectManufacturing systemsIndustrial engineeringVDP::Mathematics and natural science: 400::Mathematics: 410Scheduling (computing)assembly systems learning neural networks real time systemsPalletOpen shopArtificial intelligenceDiscrete event simulationbusiness2011 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA) Proceedings
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Some complexity and approximation results for coupled-tasks scheduling problem according to topology

2016

International audience; We consider the makespan minimization coupled-tasks problem in presence of compatibility constraints with a specified topology. In particular, we focus on stretched coupled-tasks, i.e. coupled-tasks having the same sub-tasks execution time and idle time duration. We study several problems in framework of classic complexity and approximation for which the compatibility graph is bipartite (star, chain,. . .). In such a context, we design some efficient polynomial-time approximation algorithms for an intractable scheduling problem according to some parameters.

FOS: Computer and information sciencesCoupled-task scheduling model[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Computer science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchComputational Complexity (cs.CC)Topology01 natural sciencesExecution timeTheoretical Computer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)021103 operations researchJob shop schedulingPolynomial-time approximation algorithmApproximation algorithmCompatibility graphComplexityIdle timeComputer Science ApplicationsComputer Science - Computational Complexity[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsCompatibility (mechanics)Bipartite graphMinification
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A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids

2017

In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, using a novel distributed game-theoretic framework. In our specific instantiation, we consider the scenario when the power system has a local-area Smart Grid subnet comprising of a single power source and multiple customers. The objective of the exercise is to tacitly control the total power consumption of the customers’ shiftable loads, so to approach the rigid power budget determined by the power source, but to simultaneously not exceed this threshold. As opposed to the…

General Computer ScienceComputer scienceDistributed computing02 engineering and technologyPotential gamePower budgetLearning automataScheduling (computing)Electric power systemStrategyControl theoryMachine learning0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceschedulingJob shop schedulingLearning automataScheduling020208 electrical & electronic engineeringGeneral Engineeringlearning automata020206 networking & telecommunicationsSmart gridsSubnetSmart gridmachine learningpotential gamelcsh:Electrical engineering. Electronics. Nuclear engineeringPotential gamelcsh:TK1-9971
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Scheduling projects with limited number of preemptions

2009

A recent paper (Ballestin F, Valls V, Quintanilla S. Preemption in resource-constrained project scheduling. European Journal of Operational Research 2008;189:1136-152) revealed the potential benefits of allowing one interruption when scheduling activities in a resource-constrained project. This paper further investigates the effect of interruption on project length in more general cases. To achieve this, a new model that covers most practical applications of discrete activity preemption is proposed and a metaheuristic algorithm for the problem is developed. Computational experiments on the standard j120 and j30 sets generated using ProGen study the difference in makespan between allowing m …

General Computer ScienceJob shop schedulingOperations researchbusiness.industryComputer sciencePreemptionSchedule (project management)Management Science and Operations ResearchScheduling (computing)Modeling and SimulationResource managementProject managementbusinessMetaheuristicComputers & Operations Research
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Efficient Switches with QoS Support for Clusters

2007

Current interconnect standards providing hardware support for quality of service (QoS) consider up to 16 virtual channels (VCs) for this purpose. However, most implementations do not offer so many VCs because they increase the complexity of the switch and the scheduling delays. We have shown that this number of VCs can be significantly reduced, because it is enough to use two VCs for QoS purposes at each switch port. In this paper, we cover the weaknesses of that proposal and, not only we reduce VCs, but we also improve performance due to the flexibility assigning buffer memory.

InterconnectionWeb serverJob shop schedulingbusiness.industryComputer scienceTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSQuality of serviceDistributed computingbusinesscomputer.software_genrecomputerComputer networkScheduling (computing)2007 IEEE International Parallel and Distributed Processing Symposium
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An integrated approach for modelling and solving multimode job shop scheduling problem using multi objective genetic algorithm

2015

In this paper, we present a Multi Objective Genetic Algorithm (MOGA) for modelling and solving the Multimode Job-shop Scheduling Problem (MJSP), which aims at finding the start times and execution modes for the operations of different jobs that optimize a given set of objective functions while verifying precedence and resource constraints. The proposed model can be used to generate alternative schedules based on the relative magnitude and importance of different objectives. Its main contributions are the mode assignment procedure in the chromosome generation and the use of three fitness functions. Its performance is demonstrated by computational results obtained on a set of standard instanc…

Job shop scheduling problem
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