FMS layout optimization using metaheuristic

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FMS layout optimization using metaheuristic

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Abstract

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

Abstract
Introduction
Flexible manufacturing systems (FMS)
FMS layouts and its types
Literature survey
Objectives
Model building
Methodology
Case study
Computational results
Conclusion
References

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[...] 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. [...]

[...] is designed to combine the efficiency of a high-production line and the flexibility of a job shop to best suit the batch production of mid-volume, and mid- variety of products FMS defined as a manufacturing system in which groups of numerically controlled machines (machine centers) and a material handling system (MHS) work together under computer control FMS LAYOUT AND ITS TYPES The material handling system establishes the FMS layout. Most layout configurations found in today's FMSs can be divided into five categories In-line layout 2. [...]

[...] stable (no new Start Slot 3 Slot 2 Slot 1 AGV Seed solution preparation Slot 4 Load Unload Generate a set of diverse solutions by diversification method Slot 5 Slot 6 Slot 7 Transform solutions into improved solutions by improvement method Fig.2 Layout of FMS Table Configuration of FMS Layout type U-loop No. of machines 7 No. of parts 4 Load/ unload stations 2 No. of AGV 1 pdate method Produces subset of solutions subset generation method Table.2 Part machine incidence matrix Part Operation sequence in machines OP-1 M1 M1 M2 M3 OP-2 M4 M6 M6 M4 OP-3 M2 M3 M3 M2 OP-4 M7 M4 M5 M7 types P1 P2 Generate new solution Combination method NO Any new improved solutions YES End P3 P4 Fig.1 Flow Chart of Scatter Search 6.0 CASE STUDY The hypothetical problem is taken from the literature and it is used for scatter search. [...]

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