A discrete PSO approach for generating an integrated multi-plant aggregate production-distribution plan

  • Authors:
  • Ashoka Varthanan Perumal;N. Murugan;G. Mohan Kumar

  • Affiliations:
  • Sri Krishna College of Engineering and Technology, Coimbatore, India;Coimbatore Institute of Technology, Coimbatore, India;Park College of Engineering and Technology, Coimbatore, India

  • Venue:
  • International Journal of Knowledge-based and Intelligent Engineering Systems
  • Year:
  • 2013

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Abstract

An aggregate production-distribution model, which minimizes the regular, overtime and outsourced production costs along with inventory holding, backorder, hiring/laying-off and trip-wise distribution costs, is developed for a renowned bearing manufacturing industry in India. The proposed integer non-linear programming INLP problem is NP-hard and hence a discrete particle swarm optimization DPSO algorithm is applied to solve the multi-site, multi-period production-distribution problem. The results obtained using DPSO algorithm are compared with the results of memetic algorithm MA, genetic algorithm GA and simulated annealing SA. DPSO algorithm results are far superior to that of other meta-heuristic approaches for the problem considered.