Providing fairness to mobile workforces in an automated task allocation process

A semantic multi-agent approach

Document identifier: oai:DiVA.org:ltu-7602
Access full text here:10.3844/ajassp.2012.1055.1062
Keyword: Natural Sciences, Computer and Information Sciences, Computer Sciences, Naturvetenskap, Data- och informationsvetenskap, Datavetenskap (datalogi), Dependable Communication and Computation Systems, Kommunikations- och beräkningssystem
Publication year: 2012
Relevant Sustainable Development Goals (SDGs):
SDG 3 Good health and wellbeing
The SDG label(s) above have been assigned by OSDG.ai

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

Authors

Arash Mousavi

Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
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Riza Sulaiman

Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
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M. J. Nordin

Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
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Z. A. Ohman

Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
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S. A. Schukor

Department of Industrial Computing, Faculty of Information Science and Technology, National University of Malaysia
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