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

WIBISONO, ARIF and NISAFANI, AMNA SHIFIA (2015) On-the-Fly Performance-Aware Human Resource Allocation in the Business Process Management Systems Environment using Naïve Bayes. http://link.springer.com/chapter/10.1007/978-3-319-19509-4_6.

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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.

Item Type: Article
Uncontrolled Keywords: on-the-fly resource allocation, machine learning, dispatching rules, resource-based priority rules
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Information Technology > Information System
Depositing User: Mrs Ansi Aflacha
Date Deposited: 24 Jan 2017 09:02
Last Modified: 24 Jan 2017 09:02
URI: http://repository.its.ac.id/id/eprint/3067

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