View in EDS HTML Full Text PDF Full Text

A novel methodology for designing smart workplace environments utilizing fuzzy relations.

Saved in:
Bibliographic Details
Title: A novel methodology for designing smart workplace environments utilizing fuzzy relations.
Authors: Aly, Shady1, Pelikan, Martin1, Vrana, Ivan1 vrana@pef.czu.cz
Source: Journal of Ambient Intelligence & Smart Environments. 2018, Vol. 10 Issue 2, p169-193. 25p.
Subjects: Work environment, Fuzzy relational calculus, Systems design, System identification, Artificial intelligence, Automation
Abstract: There is no currently known systematic and quantitative procedure developed to design smart workplace environments through guiding efficient and effective adoption and exploitation of the currently available wide variety of smart-environment-enabling technologies. This article presents a novel methodology to design a smart workplace environment objectively to improve, for example, productivity and safety. The proposed methodology starts by analysing the given subject workplace environment in terms of tasks and goals, and then structures and quantifies effect relations among workplace overall goals and the smart-environment-enabling technologies through linking them to the intermediate task objectives, potential improvement opportunities and smart characteristics affected by those smart technologies. Fuzzy relations are utilized to express vague effect relations among related goals, objectives, concepts and technology elements of the proposed design model. The Max–Min composition is used to compose relations to obtain the final overall goal-technology relationships. The methodology eventually yields a composed relation among workplace overall performance goals and the investigated smart-environment-enabling technologies. This overall composed relation reveals promising enabling technologies that are relevant to achievement of the specified goals. Identification of goals promising smart technologies can be used directly as a guide to realize a goal-based smart workplace environment design. Promising technology relations to task goals also help to deploy those promising technologies to the relevant tasks. A comprehensive example case is used to demonstrate the applicability of the methodology. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Ambient Intelligence & Smart Environments is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 128962752
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A novel methodology for designing smart workplace environments utilizing fuzzy relations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Aly%2C+Shady%22">Aly, Shady</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pelikan%2C+Martin%22">Pelikan, Martin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vrana%2C+Ivan%22">Vrana, Ivan</searchLink><relatesTo>1</relatesTo><i> vrana@pef.czu.cz</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Ambient+Intelligence+%26+Smart+Environments%22">Journal of Ambient Intelligence & Smart Environments</searchLink>. 2018, Vol. 10 Issue 2, p169-193. 25p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+relational+calculus%22">Fuzzy relational calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22System+identification%22">System identification</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: There is no currently known systematic and quantitative procedure developed to design smart workplace environments through guiding efficient and effective adoption and exploitation of the currently available wide variety of smart-environment-enabling technologies. This article presents a novel methodology to design a smart workplace environment objectively to improve, for example, productivity and safety. The proposed methodology starts by analysing the given subject workplace environment in terms of tasks and goals, and then structures and quantifies effect relations among workplace overall goals and the smart-environment-enabling technologies through linking them to the intermediate task objectives, potential improvement opportunities and smart characteristics affected by those smart technologies. Fuzzy relations are utilized to express vague effect relations among related goals, objectives, concepts and technology elements of the proposed design model. The Max–Min composition is used to compose relations to obtain the final overall goal-technology relationships. The methodology eventually yields a composed relation among workplace overall performance goals and the investigated smart-environment-enabling technologies. This overall composed relation reveals promising enabling technologies that are relevant to achievement of the specified goals. Identification of goals promising smart technologies can be used directly as a guide to realize a goal-based smart workplace environment design. Promising technology relations to task goals also help to deploy those promising technologies to the relevant tasks. A comprehensive example case is used to demonstrate the applicability of the methodology. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Ambient Intelligence & Smart Environments is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=128962752
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3233/AIS-180478
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 169
    Subjects:
      – SubjectFull: Work environment
        Type: general
      – SubjectFull: Fuzzy relational calculus
        Type: general
      – SubjectFull: Systems design
        Type: general
      – SubjectFull: System identification
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Automation
        Type: general
    Titles:
      – TitleFull: A novel methodology for designing smart workplace environments utilizing fuzzy relations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Aly, Shady
      – PersonEntity:
          Name:
            NameFull: Pelikan, Martin
      – PersonEntity:
          Name:
            NameFull: Vrana, Ivan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: 2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 18761364
          Numbering:
            – Type: volume
              Value: 10
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Ambient Intelligence & Smart Environments
              Type: main
ResultId 1