Search results for "Job shop"

showing 10 items of 43 documents

Two Simple Constructive algorithms for the Distributed Assembly Permutation Flowshop Scheduling Problem

2014

Nowadays, it is necessary to improve the management of complex supply chains which are often composed of multi-plant facilities. This paper proposes a Distributed Assembly Permutation Flowshop Scheduling Problem (DAPFSP). This problem is a generalization of the Distributed Permutation Flowshop Scheduling Problem (DPFSP) presented by Naderi and Ruiz (Comput Oper Res, 37(4):754–768, 2010). The first stage of the DAPFSP is composed of f identical production factories. Each center is a flowshop that produces jobs that have to be assembled into final products in a second assembly stage. The objective is to minimize the makespan. Two simple constructive algorithms are proposed to solve the proble…

PermutationMathematical optimizationJob shop schedulingSimple (abstract algebra)GeneralizationSupply chainConstructive algorithmsProduction (computer science)Mathematics
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Pilot Prototype of Autonomous Pallets and Employing Little’s Law for Routing

2015

Application of autonomous control for shop-floor scheduling by considering real-time control of material flows is advantageous to those assembly lines with dynamic and uncertain circumstances. Among several potential processors with computing and communication capabilities—for representing autonomous material carriers—wireless sensor nodes seem as promising objects to be applied in practice. For realizing autonomy in making scheduling and routing-control decisions some methodologies need to be embedded in the nodes. Among several experimented methodologies, e.g., artificial intelligence, genetic algorithm, etc., in the context of a doctoral research, in this current special case of assembly…

Queueing theoryEngineeringJob shop schedulingbusiness.industryDistributed computingLittle's lawDistributed objectScheduling (computing)law.inventionData sharinglawEmbedded systemInternet ProtocolWirelessbusiness
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Application of learning pallets for real-time scheduling by the use of radial basis function network

2013

The expansion of the scope and scale of products in the current business environments causes a continuous increase in complexity of logistics activities. In order to deal with this challenge in planning and control of logistics activities, several solutions have been introduced. One of the most latest one is the application of autonomy. The paradigm of autonomy in inbound logistics, can be reflected in decisions for real-time scheduling and control of material flows. Integration of autonomous control with material carrier objects can realize the expected advantages of this alternative into shop-floors. Since pallets (bins, fixtures, etc.) are some common used carrier objects in logistics, t…

Radial basis function networkArtificial neural networkJob shop schedulingArtificial IntelligenceComputer sciencebusiness.industryCognitive NeurosciencePalletArtificial intelligencebusinessIndustrial engineeringComputer Science ApplicationsScheduling (computing)Neurocomputing
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An approximate/exact objective based search technique for solving general scheduling problems

2018

Abstract In this paper, we analyze single machine scheduling problems under the following minimization objectives: the maximum completion time (makespan), the total completion time and the maximum lateness, including fundamental practical aspects, which often occur in industrial or manufacturing reality: release dates, due dates, setup times, precedence constraints, deterioration (aging) of machines, as well as maintenance activities. To solve the problems, we propose an efficient representation of a solution and a fast neighborhood search technique, which calculates an approximation of criterion values in a constant time per solution in a neighborhood. On this basis, a novel approximate/ex…

Rate-monotonic schedulingMathematical optimization021103 operations researchSingle-machine schedulingJob shop schedulingComputer science0211 other engineering and technologiesaging effectmetaheuristic02 engineering and technologyDynamic priority schedulingsetup timeFair-share schedulingScheduling (computing)Metaheuristic algorithmsTwo-level scheduling0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingschedulingmaintenance activitySoftwareprecedence constraintsApplied Soft Computing
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Two Job Cyclic Scheduling with Incompatibility Constraints

2001

The present paper deals with the problem of scheduling several repeated occurrences of two jobs over a finite or infinite time horizon in order to maximize the yielded profit. The constraints of the problem are the incompatibilities between some pairs of tasks which require a same resource.

Rate-monotonic schedulingMathematical optimizationJob shop schedulingComputer scienceStrategy and ManagementDistributed computingFlow shop schedulingDynamic priority schedulingManagement Science and Operations ResearchFair-share schedulingMultiprocessor schedulingComputer Science ApplicationsNurse scheduling problemManagement of Technology and InnovationTwo-level schedulingBusiness and International ManagementComputer Science::Operating Systems
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Checkpointing Workflows for Fail-Stop Errors

2017

International audience; We consider the problem of orchestrating the exe- cution of workflow applications structured as Directed Acyclic Graphs (DAGs) on parallel computing platforms that are subject to fail-stop failures. The objective is to minimize expected overall execution time, or makespan. A solution to this problem consists of a schedule of the workflow tasks on the available processors and of a decision of which application data to checkpoint to stable storage, so as to mitigate the impact of processor failures. For general DAGs this problem is hopelessly intractable. In fact, given a solution, computing its expected makespan is still a difficult problem. To address this challenge,…

ScheduleComputer scienceworkflowDistributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]010103 numerical & computational mathematics02 engineering and technologyParallel computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciencesTheoretical Computer Science[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]checkpointfail-stop error0202 electrical engineering electronic engineering information engineeringOverhead (computing)[INFO]Computer Science [cs]0101 mathematicsresilienceClass (computer programming)020203 distributed computingJob shop schedulingProbabilistic logic020206 networking & telecommunications[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationDynamic programmingTask (computing)[INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]WorkflowComputational Theory and MathematicsHardware and Architecture[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Task analysis[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Software
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Vehicle scheduling for rental-with-driver services

2021

Abstract In this paper, we introduce a new vehicle scheduling problem (VSP) with driver consistency faced by rental-with-driver companies. A weekly time-horizon is considered and a set of potential customers, each one associated with a list of required tasks, is assumed. The company can choose to accept or reject a customer, but if accepted, all required tasks must be performed by the same driver. A profit is associated with each customer. The goal is to maximize the company’s total profit, by respecting a list of daily and the weekly drivers’ workload limitations imposed by drivers’ contracts. We propose a mathematical formulation of the problem and design an exact solution method based on…

Service (business)Profit (accounting)Job shop schedulingOperations researchComputer scienceTransportationWorkloadWorkload limitationsScheduling (computing)Task (project management)Consistency (database systems)Combinatorial Benders cutsVehicle schedulingConsistencyBusiness and International ManagementSet (psychology)Civil and Structural Engineering
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Job shop scheduling by a parallel approach

1993

The paper deals with a parallel approach to job shop scheduling by a branch and bound methodology using the lower bound proposed by Ashour and Hiremath. The optimal solution is achieved by an iterative-reductive strategy. At each iteration the algorithm investigates the conflict intervals and it selects a subset of the possible solutions. The makespan value, achieved by the parallel processes, gives the upper limit for the admissible lower bound of the intermediate solutions. Furthermore the best makespan reached by each iteration is reused as a filter to reduce the complexity of the next iteration. The computation is speeded up by a parallel implementation, giving the possibility of distri…

Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.filtered branch and boundJob shop schedulingparallel approach
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Robustness in railway transportation scheduling

2008

Railway scheduling has been a significant issue in the railway industry. Over the last few years, numerous approaches and tools have been developed to compute railway scheduling. However, robust solutions are necessary to absorb short disruptions. In this paper, we present the robustness problem from the point of view of railway operators and we give some guidelines to measure robustness in timetabling. We have developed some formulae to compare robustness between two timetables based on the study of railway infrastructure topology and buffer times. Thus, each buffer time is pondered by some factors such as tightest tracks, number of subsequent trains, remaining stations, etc. This method i…

Transport engineeringEngineeringJob shop schedulingOperations researchRobustness (computer science)business.industryInformationSystems_INFORMATIONSYSTEMSAPPLICATIONSRail transportationRailway transportationComputerApplications_COMPUTERSINOTHERSYSTEMSTrainbusinessScheduling (computing)2008 7th World Congress on Intelligent Control and Automation
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Bidirectional labeling for solving vehicle routing and truck driver scheduling problems

2020

Abstract This paper studies the vehicle routing and truck driver scheduling problem where routes and schedules must comply with hours of service regulations for truck drivers. It presents a backward labeling method for generating feasible schedules and shows how the labels generated with the backward method can be combined with labels generated by a forward labeling method. The bidirectional labeling is embedded into a branch-and-price-and-cut approach and evaluated for hours of service regulations in the United States and the European Union. Computational experiments show that the resulting bidirectional branch-and-price-and-cut approach is significantly faster than unidirectional counterp…

Truck050210 logistics & transportation021103 operations researchInformation Systems and ManagementGeneral Computer ScienceJob shop schedulingComputer sciencebusiness.industry05 social sciences0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchTruck driverIndustrial and Manufacturing EngineeringScheduling (computing)Modeling and Simulation0502 economics and businessVehicle routing problemmedia_common.cataloged_instanceEuropean unionRouting (electronic design automation)businessHours of servicemedia_commonComputer networkEuropean Journal of Operational Research
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