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On-the-Fly Performance-Aware Human Resource Allocation in the Business Process Management Systems Environment Using Naïve Bayes

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 219)

Abstract

Traditionally, resource allocation problem has been considered as one of the important issues in business process management to maintain the acceptable level of each activity completion time which can reduce the total completion time. Especially, the complexity of managing resources increases when the resource type is human because performance of each human resource might fluctuate over time due to various unpredicted factors. Hence, upfront planning of the resource allocation might be unsuitable in this matter. Therefore, this study proposes an on-the-fly resource allocation using Naïve Bayes to manage human resources more efficiently. The term on-the-fly here indicates that the resource allocation planning will be frequently updated and executed during the execution time by considering recent human resource performances. In this paper, we will show the proposed approach exceeds other resource allocation approaches in terms of total completion time.

Keywords

On-the-fly resource allocation Machine learning Dispatching rules Resource-based priority rules 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Information Systems DepartmentInstitut Teknologi Sepuluh NopemberSurabayaIndonesia
  2. 2.Industrial Engineering DepartmentPusan National UniversityBusanRepublic of Korea
  3. 3.School of Business AdministrationChung-Ang UniversitySeoulRepublic of Korea

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