IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 12 Issue 6 Computer Science English November - December 2024 N N Y 2024 11 02 Computer Sciences Convergence of Hybrid Grey Wolf Optimization with Heuristic Approaches for Enhanced Job Shop Scheduling English Y 7 11 Anugrah Shailay English Y Swati Jadon English N Ankush Sharma English N https://doi.org/10.55524/ijircst.2024.12.6.2 This scholarly inquiry examines the utilization of the Hybrid Grey Wolf Optimization Algorithm (HGWOA) in addressing the Job Shop Scheduling Problem (JSSP), a combinatorial optimization problem commonly encountered within production management. The central aim is to minimize makespan, defined as the cumulative duration necessary to finalize all tasks on a designated set of machines while observing precedence constraints. Conventional Optimization methodologies frequently encounter difficulties with intricate instances of JSSP owing to its NP-hard classification. We introduce a ground-breaking method the Grey Wolf Optimization Algorithm (GWOA) with various meta-heuristic strategies to augment its fruitfulness in resolving JSSP. The multiple findings underscore the usefulness of HGWOA, highlighting its prospective applicability in real-world contexts of production scheduling and management.   English Combinatorial Optimization, Hybrid Grey Wolf Optimization Problem, Job Shop Scheduling Problem, Meta-heuristic Algorithm. https://ijircst.org/abstract.php?article_id=1321