Designing a Multiobjective Human Resource Scheduling Model Using the Tabu Search Algorithm

• Published in: Discrete dynamics in nature and society Vol. 2022; no. 1
• Main Authors: Mirataollahi olya, Roghayeh, Shayannia, Seyed Ahmad, Mehdi movahedi, Mohammad
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2022; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Developing countries; Employee turnover; Employees; Employment; Genetic algorithms; Heuristic methods; Human resource management; Job design; Job rotation; LDCs; Literature reviews; Manpower; Motivation; Multiple objective analysis; Organizations; Productivity; Raw materials; Resource scheduling; Scheduling; Search algorithms; Skills; Tabu search; Time management; Traffic police; Iran
• ISSN: 1026-0226; 1607-887X
• DOI: 10.1155/2022/5223535

Nowadays, the major and substantial challenge and constraint of organizations, specifically in developing countries, are not the lack of raw materials, energy, or even technology but cases that are directly or indirectly associated with human resource management. The most significant problems that organizations face include dissatisfaction, lack of motivation, inefficiency of human resources, high amount of job turnovers, and low productivity. Today’s organizations and institutions should realize true perfection and health create the conditions for survival, order, excellence, and growth. In this research, considering the high importance of these issues, the problems of scheduling and allocation of manpower in a real place are solved. To this end, the metaheuristic Tabu search algorithm is used with the aim of minimizing the duration of activity and the presence of all manpower. For this purpose, to achieve the objectives of the research, three different scenarios related to the required manpower and the minimum-maximum presence of manpower according to whether they are on leave or not are used.