Particle swarm optimization (PSO) is an emerging Artificial Intelligence technique. Inspired from social behavior of Birds and school of fishes. It was introduced by Kennedy and Eberhart in 1995. Cell formation is the backbone of any cellular manufacturing system, this system covers the ad
Particle Swarm Optimization for Cellular Manufacturing Problem
Particle swarm optimization (PSO) is an emerging Artificial Intelligence technique. Inspired from social behavior of Birds and school of fishes. It was introduced by Kennedy and Eberhart in 1995. Cell formation is the backbone of any cellular manufacturing system, this system covers the advantages of both flow line system and job shop system. The cellular Manufacturing system provides efficient flow and high production rate with respect to others. So obtaining the best cell manufacturing system arrangement we are implementing PSO an Artificial Intelligence technique.
•Implementation of Particle Swarm Optimization.
•To identify part families and corresponding machine groups.
•Minimize the inter-cellular movement.
•Obtaining the maximum efficacy.
By using MATLAB, Particle Swarm Optimization Algorithm is applied to cellular Manufacturing System.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Report Printing | Miscellaneous | 5 | 2000 | 10000 |
| Total in (Rs) | 10000 |
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