Integrated decision-support system for diagnosis, maintenance planning, and scheduling of manufacturing systems

I. J. Jeong, V. J. Leon, Jesus Villalobos

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

This paper describes an integrated decision support system to diagnose faults and generate efficient maintenance and production schedules. The proposed integrated system is composed of three modules, namely, the Diagnosis Module, the Maintenance Planning Module, and the Scheduling Module. In the Diagnosis Module, a vector of symptoms is fed into an influence diagram representing the causal relationships of the system. Given an instantiation of the symptom vector, a stochastic sampling algorithm is applied to update the joint-probability distribution associated with the influence diagram and rank the possible causes of the symptoms. The Maintenance Planning Module searches a Look-Up-Table to find maintenance activities to correct the fault. The Scheduling Module determines the job sequences, including a maintenance activity that can minimize makespan, or total completion time. Also, we tested the diagnostic accuracy of the influence diagram and developed a prototype of the integrated system for a scenario of a single pick-and-place machine in the context of electronics assembly systems.

Original languageEnglish (US)
Pages (from-to)267-285
Number of pages19
JournalInternational Journal of Production Research
Volume45
Issue number2
DOIs
StatePublished - Jan 2007

Fingerprint

Decision support systems
Scheduling
Planning
Probability distributions
Failure analysis
Electronic equipment
Module
Integrated
Planning and scheduling
Manufacturing systems
Sampling
Influence diagrams

Keywords

  • Decision-support systems
  • Diagnostics
  • Influence diagram
  • Maintenance
  • Scheduling

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

Integrated decision-support system for diagnosis, maintenance planning, and scheduling of manufacturing systems. / Jeong, I. J.; Leon, V. J.; Villalobos, Jesus.

In: International Journal of Production Research, Vol. 45, No. 2, 01.2007, p. 267-285.

Research output: Contribution to journalArticle

@article{7ead9f85d483466784e84623dc65e13d,
title = "Integrated decision-support system for diagnosis, maintenance planning, and scheduling of manufacturing systems",
abstract = "This paper describes an integrated decision support system to diagnose faults and generate efficient maintenance and production schedules. The proposed integrated system is composed of three modules, namely, the Diagnosis Module, the Maintenance Planning Module, and the Scheduling Module. In the Diagnosis Module, a vector of symptoms is fed into an influence diagram representing the causal relationships of the system. Given an instantiation of the symptom vector, a stochastic sampling algorithm is applied to update the joint-probability distribution associated with the influence diagram and rank the possible causes of the symptoms. The Maintenance Planning Module searches a Look-Up-Table to find maintenance activities to correct the fault. The Scheduling Module determines the job sequences, including a maintenance activity that can minimize makespan, or total completion time. Also, we tested the diagnostic accuracy of the influence diagram and developed a prototype of the integrated system for a scenario of a single pick-and-place machine in the context of electronics assembly systems.",
keywords = "Decision-support systems, Diagnostics, Influence diagram, Maintenance, Scheduling",
author = "Jeong, {I. J.} and Leon, {V. J.} and Jesus Villalobos",
year = "2007",
month = "1",
doi = "10.1080/00207540600678896",
language = "English (US)",
volume = "45",
pages = "267--285",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - Integrated decision-support system for diagnosis, maintenance planning, and scheduling of manufacturing systems

AU - Jeong, I. J.

AU - Leon, V. J.

AU - Villalobos, Jesus

PY - 2007/1

Y1 - 2007/1

N2 - This paper describes an integrated decision support system to diagnose faults and generate efficient maintenance and production schedules. The proposed integrated system is composed of three modules, namely, the Diagnosis Module, the Maintenance Planning Module, and the Scheduling Module. In the Diagnosis Module, a vector of symptoms is fed into an influence diagram representing the causal relationships of the system. Given an instantiation of the symptom vector, a stochastic sampling algorithm is applied to update the joint-probability distribution associated with the influence diagram and rank the possible causes of the symptoms. The Maintenance Planning Module searches a Look-Up-Table to find maintenance activities to correct the fault. The Scheduling Module determines the job sequences, including a maintenance activity that can minimize makespan, or total completion time. Also, we tested the diagnostic accuracy of the influence diagram and developed a prototype of the integrated system for a scenario of a single pick-and-place machine in the context of electronics assembly systems.

AB - This paper describes an integrated decision support system to diagnose faults and generate efficient maintenance and production schedules. The proposed integrated system is composed of three modules, namely, the Diagnosis Module, the Maintenance Planning Module, and the Scheduling Module. In the Diagnosis Module, a vector of symptoms is fed into an influence diagram representing the causal relationships of the system. Given an instantiation of the symptom vector, a stochastic sampling algorithm is applied to update the joint-probability distribution associated with the influence diagram and rank the possible causes of the symptoms. The Maintenance Planning Module searches a Look-Up-Table to find maintenance activities to correct the fault. The Scheduling Module determines the job sequences, including a maintenance activity that can minimize makespan, or total completion time. Also, we tested the diagnostic accuracy of the influence diagram and developed a prototype of the integrated system for a scenario of a single pick-and-place machine in the context of electronics assembly systems.

KW - Decision-support systems

KW - Diagnostics

KW - Influence diagram

KW - Maintenance

KW - Scheduling

UR - http://www.scopus.com/inward/record.url?scp=33847041127&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847041127&partnerID=8YFLogxK

U2 - 10.1080/00207540600678896

DO - 10.1080/00207540600678896

M3 - Article

AN - SCOPUS:33847041127

VL - 45

SP - 267

EP - 285

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 2

ER -