Sales Training Based Optimization: A New Human-inspired Metaheuristic Approach for Supply Chain Management
Hamadneh T. Batiha B. Al-Baik O. Bektemyssova G. Montazeri Z. Werner F. Dhiman G. Dehghani M. Eguchi K.
2024Intelligent Network and Systems Society
International Journal of Intelligent Engineering and Systems
2024#17Issue 61325 - 1334 pp.
Sustainable Lot Size Optimization is an important challenge of Supply Chain Management as it seeks to balance the economic goals of minimizing costs with environmental and social objectives, ensuring efficient production and inventory management while reducing environmental impact and enhancing social responsibility. Metaheuristic algorithms play a crucial role in solving Sustainable Lot Size Optimization problems by efficiently exploring large and complex search spaces to find near-optimal solutions that balance economic, environmental, and social objectives, often outperforming traditional optimization methods in terms of flexibility and scalability. With this attitude, in this paper, a new metaheuristic algorithm called Sales Training Based Optimization (STBO) is designed to solve Sustainable Lot Size Optimization applications. The fundamental inspiration in the design of STBO draws upon human behaviors observed during sales training. The theoretical framework of STBO is thoroughly described, and its implementation process is mathematically formulated in two distinct stages: the exploration phase and the exploitation phase. The efficiency of STBO to address Sustainable Lot Size Optimization applications has been evaluated on 10 study scenarios. The optimization outcomes reveal that STBO consistently delivers highly effective solutions by seamlessly integrating exploration with exploitation throughout the search. Furthermore, a thorough comparison was conducted, revealing how STBOs results stack up against those from twelve widely recognized metaheuristic algorithms. The simulation findings conclusively demonstrate that the STBO approach consistently outperforms competitors, achieving superior performance across all study scenarios. These insights confirm that the STBO approach serves as a highly reliable and potent optimization tool, capable of addressing a wide range of optimization challenges in diverse applications.
Exploitation , Exploration , Metaheuristic , Sales training based optimization , Supply chain management , Sustainable lot size Optimization
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Department of Mathematics, Al Zaytoonah University of Jordan, Amman, 11733, Jordan
Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid, 21110, Jordan
Department of Software Engineering, Princess Sumaya University for Technology, Amman, Jordan
Department of Computer Engineering, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 7155713876, Iran
Faculty of Mathematics, Otto-von-Guericke University, P.O. Box 4120, Magdeburg, 39016, Germany
Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, 140417, India
Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, 248002, India
Division of Research and Development, Lovely Professional University, Phagwara, 144411, India
Department of Information Electronics, Fukuoka Institute of Technology, Japan
Department of Mathematics
Department of Mathematics
Department of Software Engineering
Department of Computer Engineering
Department of Electrical and Electronics Engineering
Faculty of Mathematics
Centre of Research Impact and Outcome
Department of Computer Science and Engineering
Division of Research and Development
Department of Information Electronics
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