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Related Experiment Video

Updated: Apr 30, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
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Scheduling IT staff at a bank: a mathematical programming approach.

M Labidi1, M Mrad1, A Gharbi1

  • 1Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.

Thescientificworldjournal
|April 29, 2014
PubMed
Summary

This study introduces a multiobjective programming model to optimize Bank Information Technologies (IT) staff scheduling, significantly reducing generation time and improving schedule quality compared to manual methods.

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Area of Science:

  • Operations Research
  • Computer Science
  • Management Science

Background:

  • Bank Information Technologies (IT) staff scheduling is a complex optimization problem.
  • Manual scheduling faces challenges with numerous conflicting constraints, including service demands, regulations, and staff preferences.

Purpose of the Study:

  • To develop an automated, optimized solution for monthly Bank IT staff shift scheduling.
  • To address the need for efficient allocation of qualified staff while respecting constraints and preferences.

Main Methods:

  • Formulation of a multiobjective programming model to capture scheduling complexities.
  • Implementation of the mathematical model using Lingo software for automated schedule generation.

Main Results:

  • The proposed model successfully automates the Bank IT staff scheduling process.
  • High-quality schedules were generated in seconds, outperforming manual preparation.

Conclusions:

  • Multiobjective programming offers an effective approach to optimize complex staff scheduling problems.
  • Automated scheduling significantly improves efficiency and solution quality in IT departments.