Providing fairness to mobile workforces in an automated task allocation process
A semantic multi-agent approach
Document identifier: oai:DiVA.org:ltu-7602
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10.3844/ajassp.2012.1055.1062Keyword: Natural Sciences,
Computer and Information Sciences,
Computer Sciences,
Naturvetenskap,
Data- och informationsvetenskap,
Datavetenskap (datalogi),
Dependable Communication and Computation Systems,
Kommunikations- och beräkningssystemPublication year: 2012Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Problem statement: Mobile Workforces (MW) unlike computational resources of an automated system are active but not passive entities. Therefore, an automated resource allocation system that deals with MWs should assign tasks to them fairly and in a comparatively equal manner. An unfair task allocation in a group will cause dissatisfaction, which in turn demotivates MWs who are supposed to work as a team. Approach: In an automated Mobile Workforce Brokering System (MWBS) tasks are automatically assigned to MWs at Run-Time phase of the system's run. However, the environmental risks specifically risk of disconnection disrupts the task allocation process. Disconnection causes unfair task allocation when an MW must carry the next upcoming task according to a rotator work schedule, but he is disconnected. In this situation another MW has to perform the task in order to satisfy a pre-planned daily workload. Results: In this study we explore through the Run-Time phase of MWBS and explain how its underpinning ontology-driven coordination model tackles the risk of disconnection and improves the fairness in the task allocation process. Conclusion: Moreover, fairness rates in task allocation processes are compared between an existing system and MWBS and improvement in fairness rate is shown and analyzed for 4 consecutive periods (months) of the system's run
Authors
Arash Mousavi
Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
Other publications
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Riza Sulaiman
Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
Other publications
>>
M. J. Nordin
Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
Other publications
>>
Z. A. Ohman
Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
Other publications
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S. A. Schukor
Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
Other publications
>>
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identifier: oai:DiVA.org:ltu-7602
datestamp: 2021-04-19T12:41:33Z
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10.3844/ajassp.2012.1055.1062
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titleInfo:
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lang: eng
title: Providing fairness to mobile workforces in an automated task allocation process
subTitle: A semantic multi-agent approach
abstract: Problem statement: Mobile Workforces (MW) unlike computational resources of an automated system are active but not passive entities. Therefore an automated resource allocation system that deals with MWs should assign tasks to them fairly and in a comparatively equal manner. An unfair task allocation in a group will cause dissatisfaction which in turn demotivates MWs who are supposed to work as a team. Approach: In an automated Mobile Workforce Brokering System (MWBS) tasks are automatically assigned to MWs at Run-Time phase of the system's run. However the environmental risks specifically risk of disconnection disrupts the task allocation process. Disconnection causes unfair task allocation when an MW must carry the next upcoming task according to a rotator work schedule but he is disconnected. In this situation another MW has to perform the task in order to satisfy a pre-planned daily workload. Results: In this study we explore through the Run-Time phase of MWBS and explain how its underpinning ontology-driven coordination model tackles the risk of disconnection and improves the fairness in the task allocation process. Conclusion: Moreover fairness rates in task allocation processes are compared between an existing system and MWBS and improvement in fairness rate is shown and analyzed for 4 consecutive periods (months) of the system's run
subject:
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lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Computer Sciences
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Datavetenskap (datalogi)
@attributes:
lang: eng
authority: ltu
topic: Dependable Communication and Computation Systems
genre: Research subject
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lang: swe
authority: ltu
topic: Kommunikations- och beräkningssystem
genre: Research subject
language:
languageTerm: eng
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publication/journal-article
ref
note:
Published
5
Upprättat; 2015; 20150603 (inah)
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Mousavi
Arash
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affiliation: Department of Industrial Computing Faculty of Information Science and Technology National University of Malaysia
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Sulaiman
Riza
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affiliation: Department of Industrial Computing Faculty of Information Science and Technology National University of Malaysia
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Nordin
M. J.
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affiliation: Department of Industrial Computing Faculty of Information Science and Technology National University of Malaysia
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Ohman
Z. A.
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Schukor
S. A.
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affiliation: Department of Industrial Computing Faculty of Information Science and Technology National University of Malaysia
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dateIssued: 2012
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titleInfo:
title: American Journal of Applied Sciences
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1546-9239
1554-3641
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number: 9
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number: 7
extent:
start: 1055
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url: http://ltu.diva-portal.org/smash/get/diva2:980492/FULLTEXT01.pdf
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