Optimal dispatching of multipriority jobs to two heterogeneous workstations

Pitu Mirchandani, Susan H. Xu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The general problem scenario of this paper is the following: Jobs of various priorities, stationed in a common storage area, are waiting to be dispatched to two non-identical workstations. Any of the waiting jobs can be accessed from the storage at any given time. Each job can be processed on either of the workstations, but once a job has been assigned it may not be preempted. By job priority it is meant that a higher priority job has disptach preference over a lower priority job. The processing time of a job on a given workstation is assumed to be random, the distribution being dependent on the job type and the configuration of the workstation. Specifically, the first problem studied considers only two classes of jobs: (1) "hot" jobs, whose processing is to be expedited and thus have the higher dispatch priority, and (2) "routine" jobs which may be assigned to an available workstation only if the workstation has been rejected by all "hot" jobs. The processing times are assumed to be exponentially distributed with means depending on the job class and workstation. We assume that, on the average, one workstation is faster than the other with regard to processing any job. The dispatching objective for each job class is to minimize its expected flowtime. It is shown that threshold dispatching policies are optimal for this problem. That is, the faster processor should be utilized whenever possible, and for each class there exists an explicit threshold such that when the number of jobs of that class in the buffer exceeds this threshold then a job of that class is dispatched to the slower processor, otherwise these jobs wait for the faster processor to become available. For the higher priority jobs, this threshold is shown to be a function only of the various processing rates of the two workstations. For the lower priority jobs, the threshold also depends on the number of higher priority jobs in the buffer. The results is extended to a system with n priority classes. Again, it is shown that when the processing times are exponentially distributed with different rates and the dispatching objective for each class is to minimize its expected flowtime, the optimal dispatching policies are of threshold type. Explicit thresholds are easily derived.

Original languageEnglish (US)
Pages (from-to)25-42
Number of pages18
JournalInternational Journal of Flexible Manufacturing Systems
Volume2
Issue number1
DOIs
StatePublished - Oct 1989
Externally publishedYes

Fingerprint

Processing
Dispatching

Keywords

  • parallel machines
  • parallel processors
  • stochastic scheduling

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

Optimal dispatching of multipriority jobs to two heterogeneous workstations. / Mirchandani, Pitu; Xu, Susan H.

In: International Journal of Flexible Manufacturing Systems, Vol. 2, No. 1, 10.1989, p. 25-42.

Research output: Contribution to journalArticle

@article{90043c40293b45aba64d0354fec49bd0,
title = "Optimal dispatching of multipriority jobs to two heterogeneous workstations",
abstract = "The general problem scenario of this paper is the following: Jobs of various priorities, stationed in a common storage area, are waiting to be dispatched to two non-identical workstations. Any of the waiting jobs can be accessed from the storage at any given time. Each job can be processed on either of the workstations, but once a job has been assigned it may not be preempted. By job priority it is meant that a higher priority job has disptach preference over a lower priority job. The processing time of a job on a given workstation is assumed to be random, the distribution being dependent on the job type and the configuration of the workstation. Specifically, the first problem studied considers only two classes of jobs: (1) {"}hot{"} jobs, whose processing is to be expedited and thus have the higher dispatch priority, and (2) {"}routine{"} jobs which may be assigned to an available workstation only if the workstation has been rejected by all {"}hot{"} jobs. The processing times are assumed to be exponentially distributed with means depending on the job class and workstation. We assume that, on the average, one workstation is faster than the other with regard to processing any job. The dispatching objective for each job class is to minimize its expected flowtime. It is shown that threshold dispatching policies are optimal for this problem. That is, the faster processor should be utilized whenever possible, and for each class there exists an explicit threshold such that when the number of jobs of that class in the buffer exceeds this threshold then a job of that class is dispatched to the slower processor, otherwise these jobs wait for the faster processor to become available. For the higher priority jobs, this threshold is shown to be a function only of the various processing rates of the two workstations. For the lower priority jobs, the threshold also depends on the number of higher priority jobs in the buffer. The results is extended to a system with n priority classes. Again, it is shown that when the processing times are exponentially distributed with different rates and the dispatching objective for each class is to minimize its expected flowtime, the optimal dispatching policies are of threshold type. Explicit thresholds are easily derived.",
keywords = "parallel machines, parallel processors, stochastic scheduling",
author = "Pitu Mirchandani and Xu, {Susan H.}",
year = "1989",
month = "10",
doi = "10.1007/BF00227796",
language = "English (US)",
volume = "2",
pages = "25--42",
journal = "Flexible Services and Manufacturing Journal",
issn = "1936-6582",
publisher = "Springer New York",
number = "1",

}

TY - JOUR

T1 - Optimal dispatching of multipriority jobs to two heterogeneous workstations

AU - Mirchandani, Pitu

AU - Xu, Susan H.

PY - 1989/10

Y1 - 1989/10

N2 - The general problem scenario of this paper is the following: Jobs of various priorities, stationed in a common storage area, are waiting to be dispatched to two non-identical workstations. Any of the waiting jobs can be accessed from the storage at any given time. Each job can be processed on either of the workstations, but once a job has been assigned it may not be preempted. By job priority it is meant that a higher priority job has disptach preference over a lower priority job. The processing time of a job on a given workstation is assumed to be random, the distribution being dependent on the job type and the configuration of the workstation. Specifically, the first problem studied considers only two classes of jobs: (1) "hot" jobs, whose processing is to be expedited and thus have the higher dispatch priority, and (2) "routine" jobs which may be assigned to an available workstation only if the workstation has been rejected by all "hot" jobs. The processing times are assumed to be exponentially distributed with means depending on the job class and workstation. We assume that, on the average, one workstation is faster than the other with regard to processing any job. The dispatching objective for each job class is to minimize its expected flowtime. It is shown that threshold dispatching policies are optimal for this problem. That is, the faster processor should be utilized whenever possible, and for each class there exists an explicit threshold such that when the number of jobs of that class in the buffer exceeds this threshold then a job of that class is dispatched to the slower processor, otherwise these jobs wait for the faster processor to become available. For the higher priority jobs, this threshold is shown to be a function only of the various processing rates of the two workstations. For the lower priority jobs, the threshold also depends on the number of higher priority jobs in the buffer. The results is extended to a system with n priority classes. Again, it is shown that when the processing times are exponentially distributed with different rates and the dispatching objective for each class is to minimize its expected flowtime, the optimal dispatching policies are of threshold type. Explicit thresholds are easily derived.

AB - The general problem scenario of this paper is the following: Jobs of various priorities, stationed in a common storage area, are waiting to be dispatched to two non-identical workstations. Any of the waiting jobs can be accessed from the storage at any given time. Each job can be processed on either of the workstations, but once a job has been assigned it may not be preempted. By job priority it is meant that a higher priority job has disptach preference over a lower priority job. The processing time of a job on a given workstation is assumed to be random, the distribution being dependent on the job type and the configuration of the workstation. Specifically, the first problem studied considers only two classes of jobs: (1) "hot" jobs, whose processing is to be expedited and thus have the higher dispatch priority, and (2) "routine" jobs which may be assigned to an available workstation only if the workstation has been rejected by all "hot" jobs. The processing times are assumed to be exponentially distributed with means depending on the job class and workstation. We assume that, on the average, one workstation is faster than the other with regard to processing any job. The dispatching objective for each job class is to minimize its expected flowtime. It is shown that threshold dispatching policies are optimal for this problem. That is, the faster processor should be utilized whenever possible, and for each class there exists an explicit threshold such that when the number of jobs of that class in the buffer exceeds this threshold then a job of that class is dispatched to the slower processor, otherwise these jobs wait for the faster processor to become available. For the higher priority jobs, this threshold is shown to be a function only of the various processing rates of the two workstations. For the lower priority jobs, the threshold also depends on the number of higher priority jobs in the buffer. The results is extended to a system with n priority classes. Again, it is shown that when the processing times are exponentially distributed with different rates and the dispatching objective for each class is to minimize its expected flowtime, the optimal dispatching policies are of threshold type. Explicit thresholds are easily derived.

KW - parallel machines

KW - parallel processors

KW - stochastic scheduling

UR - http://www.scopus.com/inward/record.url?scp=34249969242&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34249969242&partnerID=8YFLogxK

U2 - 10.1007/BF00227796

DO - 10.1007/BF00227796

M3 - Article

VL - 2

SP - 25

EP - 42

JO - Flexible Services and Manufacturing Journal

JF - Flexible Services and Manufacturing Journal

SN - 1936-6582

IS - 1

ER -