Development of simulation-based AHP-DPSO algorithm for generating multi-criteria production-distribution plan

P. Ashoka Varthanan, N. Murugan, G. Mohan Kumar, S. Parameswaran

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations


Integrated production-distribution plan considering three major objectives, viz., total cost minimization, change in labor level reduction, and underutilization minimization, is developed for a renowned bearing manufacturing industry in India. The total cost minimization objective minimizes the regular, overtime, and outsourced production costs along with inventory holding, backorder, hiring/laying-off, and trip-wise distribution costs. The multi-criteria model is solved using a novel simulation-based analytic hierarchy process (AHP)-discrete particle swarm optimization (DPSO) algorithm. The solutions of the AHP-DPSO algorithm are verified using the AHP-binary-coded genetic algorithm solutions. The proposed simulation-based AHP-DPSO solutions are found to be superior. Demand is assumed to vary uniformly, and the simulation-based AHP-DPSO algorithm is used for obtaining the best production-distribution plan that serves as a trade-off between holding inventory and backordering products. In addition to bearing manufacturing industry dataset, two other test datasets are also solved.

Original languageEnglish
Pages (from-to)373-396
Number of pages24
JournalInternational Journal of Advanced Manufacturing Technology
Issue number1-4
StatePublished - Apr 2012


  • Analytic hierarchy process
  • Binary-coded genetic algorithm
  • Discrete particle swarm optimization algorithm
  • Production-distribution plan
  • Simulation


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