Open Access

ARTICLE

On Computing the Suitability of Non-Human Resources for Business Process Analysis

Abid Sohail^1,*, Khurram Shahzad², P. D. D. Dominic³, Muhammad Arif Butt², Muhammad Arif⁴, Muhammad Imran Tariq⁵

1 Department of Computer Science, COMSATS University Islamabad, Lahore, Pakistan
2 Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan
3 Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh Perak, Malaysia
4 School of Computer Science, Guangzhou University, Guangzhou, 510006, China
5 Department of Computer Science and Information Technology, Superior University, Lahore, Pakistan

* Corresponding Author: Abid Sohail. Email:

(This article belongs to the Special Issue: Artificial Intelligence and IoT based intelligent systems using high performance computing for Medical applications.)

Computers, Materials & Continua 2021, 67(1), 303-319. https://doi.org/10.32604/cmc.2021.014201

Received 05 September 2020; Accepted 27 October 2020; Issue published 12 January 2021

Abstract

Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service. Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task. In continuation of our previous work, we categorize resources into human and non-human resources. For instance, in the healthcare domain, human resources include doctors, nurses, and other associated staff responsible for the execution of healthcare activities; whereas the non-human resources include surgical and other equipment needed for execution. In this study, we contend that the two types of resources (human and non-human) have a different impact on the process performance, so their suitability should be measured differently. However, no work has been done to evaluate the suitability of non-human resources for the tasks of a process. Consequently, it becomes difficult to identify and subsequently overcome the inefficiencies caused by the non-human resources to the task. To address this problem, we present a three-step method to compute a suitability score of non-human resources for the task. As an evaluation of the proposed method, a healthcare case study is used to illustrate the applicability of the proposed method. Furthermore, we performed a controlled experiment to evaluate the usability of the proposed method. The encouraging response shows the usefulness of the proposed method.

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Citations