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2 edition of On scheduling parallel machines with a partially shared resource found in the catalog.

On scheduling parallel machines with a partially shared resource

by Narayan Raman

  • 336 Want to read
  • 4 Currently reading

Published by College of Commerce and Business Administration, University of Illinois at Urbana-Champaign in [Urbana, Ill.] .
Written in English


Edition Notes

Includes bibliographical references (p. 13).

StatementNarayan, Raman
SeriesBEBR faculty working paper -- no. 93-0160, BEBR faculty working paper -- no. 93-0160.
ContributionsUniversity of Illinois at Urbana-Champaign. College of Commerce and Business Administration
The Physical Object
Pagination15 p. ;
Number of Pages15
ID Numbers
Open LibraryOL25174484M
OCLC/WorldCa535324746

Preemptive jobs scheduling on parallel machines with setup times and renewable resources Tomasz liwi ski, Eugeniusz Toczyáowski Warsaw University of Technology, Institute of Control & Computation Engineering, Warsaw, Poland Abstract. A two-stage algorithm for scheduling preemptive jobs on parallel. Grigoriev, A., Kellerer, H., Strusevich, V.A.: Scheduling parallel dedicated machines with the speeding-up resource (manuscript, ); Proceedings of the 6th Workshop on Models and Algorithms for Planning and Scheduling Problems, Aussois, France, pp. Cited by:

SMPs fall under shared memory parallel computer architecture, while Clusters and MPPs fall under shared memory parallel computer architecture. The paper proceeds by describing operating system’s key design issues for scheduling, synchronization, process and memory management for the shared memory symmetric multiprocessor system. FacultyWorkingPaper m COPY2 OnSchedulingParallelMachines withaPartiallySharedResource ™?YOfT MOV 21 Ul LiHjA,v,.,HAiVlpM,uN NarayanRaman.

i) on parallel machines (unrelated R m or identical P m). The problem being NP-hard, most authors propose metaheuristics to access good solutions[11]. Allahverdi et al. propose a survey of scheduling problems with setup times [12]. They classify the literature according to the environment (single machine, parallel machines, flow shops, etc.),Cited by: A parallel machine scheduling problem in plastic production is studied in this paper. In this problem, the processing time and arrival time are uncertain but lie in their respective intervals. In addition, each job must be processed together with a mold while jobs which belong to one family can share the same mold. Therefore, time changing mold is required for two consecutive jobs that belong Cited by:


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On scheduling parallel machines with a partially shared resource by Narayan Raman Download PDF EPUB FB2

On scheduling parallel machines with a partially shared resource / By Narayan Raman. Get PDF (2 MB) Abstract.

Includes bibliographical references (p. 13) Publisher: [Urbana, Ill.]: College of Commerce and Business Author: Narayan Raman.

Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by presenting a consistent and comprehensive theoretical framework along with realistic parallel system by: In the field of PMS with additional resources, a new class of problems, named parallel machine flexible resource scheduling (PMFRS), was introduced by Daniels et al.

A PMFRS problem is formally defined as follows. A set of n jobs is processed on a set of m machines where assignment of jobs to machines is specified a priori.

In addition Cited by: Scheduling jobs on identical parallel machines • There are Jjobs to be processed, and there are Iidentical machines (running in parallel) to which each job may be assigned • Each job F=1, J, must be processed on one of these machines for L Ýtime units without interruption, and each job is available for processing at time0File Size: KB.

namely scheduling on parallel machines under both resource and precedence constraints, and give the rst non-trivial approximation algorithms for several important versions of this problem.

The combination of these two constraints naturally models the computation in emerging high performance computing Size: KB. Majority of parallel machine scheduling studies consider machine as the only resource.

However, in most real-life manufacturing environments, jobs may require additional resources, such as automated guided vehicles, machine operators, tools, pallets, dies.

Conclusion. Motivated from mining industry, in this paper, we presented a scheduling problem with a single shared resource. For this problem we compared ILP and Lagrange relaxation solution approaches with self-adapting Genetic Algorithm (GA) [7] Cited by: Keywords: Parallel machine scheduling, setup times, precedence constraints, limited discrepancy search, local search.

1 Introduction This paper deals with parallel machine scheduling with precedence constraints and setup times between the execution of jobs.

We consider the optimization of two. Parallel machine models: Makespan Minimization Wrap around rule for problem PjpmtnjCmax: de ne opt:= maxfmaxn j=1 pj; Pn j=1 pj=mg opt is a lower bound on the optimal value for problem PjpmtnjCmax Construction of a schedule with Cmax = opt: ll the machines successively, schedule the jobs in any order and preempt a job if the time bound opt is metFile Size: KB.

Parallel block scheduling is one method that schools can implement to help reduce the number of interruptions during classroom instruction, simultaneously reducing the number of student per teacher ratio during key content areas of math and reading.

In addition to its machine-dependence, the processing time of any job is also dependent on the usage of a scarce renewable resource. An amount of k units of that resource, e.g. workers, can be distributed over the jobs in process, and the more of that resource is allocated to a job, the smaller its processing time.

The model generalizes the classical unrelated machine scheduling problem, adding a Cited by: R unrelated machines: the processing time of job jon machine iis given by p i;j, without any other constraints Sometimes the number of processors is xed: for example, P2, F2, or Pm.

1 Minimizing makespan on identical machines: PjjC max Even this simple parallel scheduling problem is NP-complete. There are straightforwardFile Size: KB. In this paper, a special parallel flowshop scheduling (PFSS) problem that consists of two parallel non-identical shops, one with two consecutive machines and the other with only one machine, is.

In this study, an identical parallel machine scheduling problem with sequence-dependent setup times, machine eligibility restrictions and multiple copies of shared resources (IPMS-SMS.

We consider a scheduling problem on unrelated parallel machines with the objective to minimize the makespan. In addition to its machine dependence, the processing time of any job is dependent on the usage of a scarce renewable resource, e.g. workers.

A given amount of that resource can be distributed over the jobs in process at any by: 6. In this paper we analyze a parallel machine scheduling problem in which the processing of jobs on the machines requires a number of units of a scarce resource.

This number depends both on the job. The paper considers scheduling problems for parallel dedicated machines subject to resource constraints. November 3, International Journal of Production Research manuscript. To appear in the International Journal of Production Research Vol.

00, No. 00, 00 Month 20XX, 1{ A parallel machine lot-sizing and scheduling problem with a secondary resource and cumulative demand. In semi-online scheduling problems, we always assume that some partial additional information is exactly known in advance. This may not be true in some application.

This paper considers semi-online problems on identical machines with inexact partial by: 1. We consider the problem of scheduling n independent jobs on m unrelated parallel machines with sequence-dependent setup times and availability dates for the machines and release dates for the jobs to minimize a regular additive cost function.

In this work, we develop a new branch-and-price optimization algorithm for the solution of this general class of parallel machines scheduling by:. Extended abstract in: Proceedings of the 6th Workshop on Models and Algorithms for Planning and Scheduling Problems, Aussois, France,pp.

Google Scholar; H. KELLERER and V. A. STRUSEVICH, Scheduling parallel dedicated machines under a single non-shared resource, European Journal of Operational Research, (), pp.

Vallada and Ruiz () presented a genetic algorithm for the unrelated parallel machine scheduling problem considering machine and job sequence dependent setup times. Lin et al. () performed a study in which the performance of various heuristics is compared with one meta-heuristic for unrelated parallel machine scheduling problems.there are tree-like precedence constraints on parallel machines.

Bruno et al [8] show that the problem of scheduling jobs on parallel identical machines with the objective of minimizing the total weighted completion time is NP-hard even with two machines.

Azizoglu and Kirca [4] consider both the identical and the uniform machine cases of the.