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Scheduling optimization of flexible manufacturing system using cuckoo search-based approach

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Abstract

In the present work, a cuckoo search (CS)-based approach has been developed for scheduling optimization of a flexible manufacturing system by minimizing the penalty cost due to delay in manufacturing and maximizing the machine utilization time. To demonstrate the application of cuckoo search (CS)-based scheme to find the optimum job, the proposed scheme has been applied with slight modification in its Levy flight operator because of the discrete nature of the solution on a standard FMS scheduling problem containing 43 jobs and 16 machines taken from literature. The CS scheme has been implemented using Matlab, and results have been compared with other soft computing-based optimization approaches like genetic algorithm (GA) and particle swarm optimization found in the literature. The results shown by CS-based approach have been found to outperform the results of existing heuristic algorithms such as GA for the given problem.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Shashikant Burnwal & Sankha Deb

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  1. Shashikant Burnwal
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  2. Sankha Deb
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Correspondence to Sankha Deb.

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Burnwal, S., Deb, S. Scheduling optimization of flexible manufacturing system using cuckoo search-based approach. Int J Adv Manuf Technol 64, 951–959 (2013). https://doi.org/10.1007/s00170-012-4061-z

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  • DOI: https://doi.org/10.1007/s00170-012-4061-z

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