International Journal Of Engineering And Management Research
  • Year: 2022
  • Volume: 12
  • Issue: 5

Automate employees effiiency gauging and task scheduling

  • Author:
  • P. Purusothman1,*, K. Piriyangan2, Sasini Nuwanthika3
  • Total Page Count: 4
  • Page Number: 508 to 511

1Faculty of Computing (CSNE), Sri Lankan Institute of Information Technology, Sri Lanka

2Faculty of Computing (CSNE), Sri Lankan Institute of Information Technology, Sri Lanka

3Department of Computer System Engineering, Sri Lankan Institute of Information Technology, Sri Lanka

*Corresponding Author: purushothpurus1998@gmail.com

Online published on 2 December, 2022.

Abstract

There is a common fact in the world that all employees and employers are not satisfied with themselves. This is due to a lack of awareness about the work done by employees. But most of the time employees put their maximum effort into their work and didnșt get recognized by the employer. As a result, the challenge is identifying the efficiency of the employees and managing their respective schedules of tasks. This paper proposes an approach to help employers identify the employeesș efficiency in an urgent situation. Also, this approach can help to manage the work allocation by their efficiency to the respective tasks. This paper will discuss how it could be used in realtime scenarios autonomously. This paper presents a practical method for modeling and solving a dynamic resource allocation of automatic scheduling problem using a forward gauging heuristic approach in the case of an Organization employee's Project and task respective scheduling.

Keywords

Gauge, Scheduling, System, Efficiency, Employee, Employer, Autonomous, Adaboost, Gradient Boosting Regressor, Random Forest Regressor, Support Vector Regression, Decision Tree Regressor