International Journal of Engineering Research

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A Population based Metaheuristics for Optimum Design of Single Row Layout in Flexible Manufacturing System with Integrated Job shop Scheduling


Affiliations
1 Dept of Mech. Engg., G. Pullaiah College of Engineering and Technology, Kurnool, A.P., India
2 Dept of Mech. Engg, BITS, Kurnool, A.P., India
3 Dept of ME, JNTU, Anantapur, A.P., India
 

Facility allocation and layout design plays a key role to achieve high revenue in current industrial sector. This paper conveys the design of single row layout in FMS in an optimum manner. The objective of single row layout problem is the allocation of the ordering of machines around the facility configuration, to reduce the total number of traversals for a part family. The clearance between the machines and material handling cost between the machines also considered in design of SR layouts. This work details the design, development and testing of Genetic Algorithm (GA), Partial Swarm Method(PSM) to solve the single row layout problems. The proposed methods validated and tested with randomly generated problem instances.

Keywords

Genetic Algorithm, Partical Swarm Method, FMS, SR.
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  • A Population based Metaheuristics for Optimum Design of Single Row Layout in Flexible Manufacturing System with Integrated Job shop Scheduling

Abstract Views: 195  |  PDF Views: 0

Authors

K. Mallikarjuna
Dept of Mech. Engg., G. Pullaiah College of Engineering and Technology, Kurnool, A.P., India
A. Srinivas
Dept of Mech. Engg., G. Pullaiah College of Engineering and Technology, Kurnool, A.P., India
V. Veeranna
Dept of Mech. Engg, BITS, Kurnool, A.P., India
K. Hemachandra Reddy
Dept of ME, JNTU, Anantapur, A.P., India

Abstract


Facility allocation and layout design plays a key role to achieve high revenue in current industrial sector. This paper conveys the design of single row layout in FMS in an optimum manner. The objective of single row layout problem is the allocation of the ordering of machines around the facility configuration, to reduce the total number of traversals for a part family. The clearance between the machines and material handling cost between the machines also considered in design of SR layouts. This work details the design, development and testing of Genetic Algorithm (GA), Partial Swarm Method(PSM) to solve the single row layout problems. The proposed methods validated and tested with randomly generated problem instances.

Keywords


Genetic Algorithm, Partical Swarm Method, FMS, SR.