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FMS layout optimization using metaheuristic

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  1. Abstract
  2. Introduction
  3. Flexible manufacturing systems (FMS)
  4. FMS layouts and its types
  5. Literature survey
  6. Objectives
  7. Model building
  8. Methodology
  9. Case study
  10. Computational results
  11. Conclusion
  12. References

Today, Flexible Manufacturing System (FMS) seems to be a very promising technology as it provides flexibility, which is essential for highly competitive, dynamic and change in manufacturing environment. Layout of an industry is the key for productivity. To improve productivity, manufacturing lead time should be minimum. This paper discusses the optimization of layout of a FMS for the minimum distance travel by the material handling system and total distance traveled by the job. Number of meta-heuristic techniques is applied to obtain the optimum solution to a problem such as Genetic Algorithm, Simulated Annealing etc. In this work, Scatter Search is applied to optimize the layout. This paper will give the optimum slots for the machine centers. Keywords: Meta - Heuristics, Flexible Manufacturing System, Layout Optimization, Scatter Search

[...] There, is the scope for doing the further research in FMS layout using Scatter Search algorithm, and it is presented in our work OBJECTIVES 1. To Minimize the total distance traveled by the Automated Guided vehicle(AGV) 2. To minimize the total number of backtrackings occurred to the AGV 3. To maximize the utilization of the resources 4. To minimize the idle time of the machines 4.0 MODEL BUILDING Simulation may be regarded as the technique of building an abstract, logical model of a system which describes the internal behavior of its components and their complex interactions. [...]

[...] Let, dijk The distance traveled by AGV in moving job i from machine j to machine k. bijk The number of backtrackings occurred in moving job i from machine j to machine k. D Total distance traveled by AGV in moving all job n to be processed for completion B Total number of backtrackings occurred in moving job n to complete its processing. W1, W2 the normalized weights assigned to each objective. Given a set of m machines, a set of n job types, a job-machine incidence matrix indicating the operation sequence number of each job ni processed by machine mi, allocate machines and parts into layout, so as to minimize the distance traveled by AGV inside the system. [...]

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