"Excellence is the unlimited ability to improve the quality of what you have to offer."
An Industrial Engineer with a sound background in manufacturing processes, supply chain model, resource optimization, scheduling, logistics, and data analytics.
Research Field: Optimization, Scheduling
Research objective: To group jobs into batches, and schedule the batches on a Batch Processing Machine (BPM), in order to minimize total completion time (makespan) as well as maximum tardiness.
Research Techniques: A linear programming formulation was solved using Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO)
Tools Employed: The algorithms were programmed in MatLab and the results thus obtained were analyzed using Minitab and Excel.
Result: The results obtained were compared to that of CPLEX (weighted approach, goal programming and 3 other variants, Column generation), Simulated Annealing, Greedy Randomized Adaptive Search.
Conclusion: ACO outperformed all the approaches for higher number of job instances.