A DYNAMIC AND HUMAN-CENTRIC RESOURCE ALLOCATION FOR MANAGING BUSINESS PROCESS EXECUTION

WIBISONO, ARIF and NISAFANI, AMNA SHIFIA and Hyerim Bae, Hyerim Bae and You-Jin Park, You-Jin Park (2016) A DYNAMIC AND HUMAN-CENTRIC RESOURCE ALLOCATION FOR MANAGING BUSINESS PROCESS EXECUTION. International Journal of Industrial Engineering: Theory, Applications and Practice, 23(4), 2016. ISSN 1943-670X

[img]
Preview
Text
198303062012121001_dynamic_wibisono.pdf - Published Version

Download (794kB) | Preview

Abstract

Generally, resource allocation is essential to the efficient operational execution. More specifically, resource allocation for semi-automatic business processes might be more sophisticated due to human involvement. To this point, human performances are oscillating over time. Hence, upfront and static resource allocation might be suboptimal to deal with human dynamics. For this reason, this research suggests a dynamic and human-centric resource allocation to organize human-type resources in semi-automatic business process. Here, we use Bayesian approaches to predict resource’s performances according to historical data set. As a result, we can construct a dynamic priority rule to assign a job to a specific resource with the highest probability to work faster. Finally, we demonstrate that our approach outperforms other priority rules: Random, Lowest Idle, Highest Idle, Order, and previously developed Bayesian Selection Rule from the total completion time and waiting time point of view.

Item Type: Article
Uncontrolled Keywords: dynamic resource allocation, machine learning, dynamic dispatching rule, dynamic priority rule, naïve bayes
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: Users 13 not found.
Date Deposited: 24 Jan 2017 08:55
Last Modified: 27 Dec 2018 08:32
URI: http://repository.its.ac.id/id/eprint/3062

Actions (login required)

View Item View Item