Process plan and scheduling integration for near optimal process plans in networked based manufacturing using controlled elitist NSGA-II and territory defining algorithms

  • Authors:

  • V. K. Manupati;J. J. Thakkar;Priyabrata Mohapatra;Ajay Kumar;M. K. Tiwari

  • Affiliations:

  • Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India;Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India;Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India;Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India;Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

  • Venue:
  • SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
  • Year:
  • 2012

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Abstract

The networked based manufacturing offers various advantages in current competitive atmosphere by way to reduce the short manufacturing cycle time and to maintain the production flexibility. In this paper, we have addressed a multi-objective problem whose objectives are to minimize the makespan and maximization of machine utilization for generating feasible process plans of multiple jobs in the context of networked based manufacturing system. In more specific, with two powerful multi-objective evolutionary algorithms (MOEAs) namely controlled elitist-NSGA-II (CE-NSGA-II), and territory defining evolutionary algorithm (TDEA), were proposed to find the better performance of the system. With the help of an illustrative example along with two complex scenarios these algorithms has been implemented, tested and compared. Finally, the computational results are analyzed to the benefit of the manufacturer.