ROLE OF HUMAN PATTERN RECOGNITION IN DESIGNING DECISION SUPPORT SYSTEMS FOR SUPERVISORY CONTROL AND FACILITIES LAYOUT.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The author addresses the implications in decision-support system (DSS) design of giving consideration to the problem typology for the purpose of determining whether there are features characteristic to the task that are conducive to human pattern-recognition skills. An assumption is that effective utilization of these skills for such tasks will significantly impact system performance. The production/manufacturing task domain is identified as potentially benefiting from this approach. However, to integrate this approach into the DSS design process, experimental methods need to be developed that enable meaningful human pattern-recognition activities to be estimated. The author describes current research aimed at accomplishing this objective for supervisory control of flexible manufacturing systems and human-computer interactive facilities layout.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
Place of PublicationNew York, NY, USA
PublisherIEEE
Pages613-615
Number of pages3
StatePublished - Dec 1 1987
Externally publishedYes

Fingerprint

Decision support systems
Pattern recognition
Systems analysis
Flexible manufacturing systems

ASJC Scopus subject areas

  • Engineering(all)

Cite this

ROLE OF HUMAN PATTERN RECOGNITION IN DESIGNING DECISION SUPPORT SYSTEMS FOR SUPERVISORY CONTROL AND FACILITIES LAYOUT. / Sharit, Joseph.

Unknown Host Publication Title. New York, NY, USA : IEEE, 1987. p. 613-615.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

@inproceedings{d781a209cf98485a8ba0f24f959986b1,
title = "ROLE OF HUMAN PATTERN RECOGNITION IN DESIGNING DECISION SUPPORT SYSTEMS FOR SUPERVISORY CONTROL AND FACILITIES LAYOUT.",
abstract = "The author addresses the implications in decision-support system (DSS) design of giving consideration to the problem typology for the purpose of determining whether there are features characteristic to the task that are conducive to human pattern-recognition skills. An assumption is that effective utilization of these skills for such tasks will significantly impact system performance. The production/manufacturing task domain is identified as potentially benefiting from this approach. However, to integrate this approach into the DSS design process, experimental methods need to be developed that enable meaningful human pattern-recognition activities to be estimated. The author describes current research aimed at accomplishing this objective for supervisory control of flexible manufacturing systems and human-computer interactive facilities layout.",
author = "Joseph Sharit",
year = "1987",
month = "12",
day = "1",
language = "English",
pages = "613--615",
booktitle = "Unknown Host Publication Title",
publisher = "IEEE",

}

TY - GEN

T1 - ROLE OF HUMAN PATTERN RECOGNITION IN DESIGNING DECISION SUPPORT SYSTEMS FOR SUPERVISORY CONTROL AND FACILITIES LAYOUT.

AU - Sharit, Joseph

PY - 1987/12/1

Y1 - 1987/12/1

N2 - The author addresses the implications in decision-support system (DSS) design of giving consideration to the problem typology for the purpose of determining whether there are features characteristic to the task that are conducive to human pattern-recognition skills. An assumption is that effective utilization of these skills for such tasks will significantly impact system performance. The production/manufacturing task domain is identified as potentially benefiting from this approach. However, to integrate this approach into the DSS design process, experimental methods need to be developed that enable meaningful human pattern-recognition activities to be estimated. The author describes current research aimed at accomplishing this objective for supervisory control of flexible manufacturing systems and human-computer interactive facilities layout.

AB - The author addresses the implications in decision-support system (DSS) design of giving consideration to the problem typology for the purpose of determining whether there are features characteristic to the task that are conducive to human pattern-recognition skills. An assumption is that effective utilization of these skills for such tasks will significantly impact system performance. The production/manufacturing task domain is identified as potentially benefiting from this approach. However, to integrate this approach into the DSS design process, experimental methods need to be developed that enable meaningful human pattern-recognition activities to be estimated. The author describes current research aimed at accomplishing this objective for supervisory control of flexible manufacturing systems and human-computer interactive facilities layout.

UR - http://www.scopus.com/inward/record.url?scp=0023571030&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023571030&partnerID=8YFLogxK

M3 - Conference contribution

SP - 613

EP - 615

BT - Unknown Host Publication Title

PB - IEEE

CY - New York, NY, USA

ER -