Numerical Simulation and Assessment of Meta Heuristic Optimization Based Multi Objective Dynamic Job Shop Scheduling System

In today's world of manufacturing, cost reduction becomes one the most important issues. A successful business needs to reduce its be competitive. The programming machine is playing an role in production planning and control as a tool help manufacturers their costs maximizing use resources. problem not only limited machine, but also covers many other areas such computer information technology communication. From definition, art that involves allocating, allocation utilization resources achieve goal. aim program complete tasks reasonable amount time. This reasonableness performance measure how well are allocated tasks. Time or time-dependent functions always it used measures. objectives this research develop Intelligent Search Heuristic algorithms (ISHA) for equal variable size sub lot m flow shop problems, Implement Particle Swarm Optimization algorithm (PSO) matlab, PSO based efficient job scheduling problem. work address solution observe verify results Job Shop Scheduling with graft chart.