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The performance improvement of water pump manufacturing system via multi-criteria decision-making and simulation (a case study: Iran Godakht Company)

Author

Listed:
  • Mohammad Ziaei
  • Seyed Mojtaba Sajadi
  • Mohammad Mehdi Tavakoli

Abstract

The performance improvement of a manufacturing system is a major component of maintaining the position of a company in the present competitive world. In the present dynamic environments and complex markets and based on the responding time significance, the optimisation of the performances has become a vital factor for the companies and their competitive. In this paper, simulation software is applied to evaluate the process of water pump manufacturing in Iran Godakht Company, in order to determine the barriers present in supplying the final customers with their needed products, and then some suggestions are offered to meet these barriers. To do so, the production process was assessed. Then their time distribution was determined for the simulations. In the next step, the ARENA Software was utilised to perform the modelling of the manufacturing process and based on the results, three new scenarios were introduced, and finally, multi-criteria decision-making approaches were applied to select the optimised scenario.

Suggested Citation

  • Mohammad Ziaei & Seyed Mojtaba Sajadi & Mohammad Mehdi Tavakoli, 2016. "The performance improvement of water pump manufacturing system via multi-criteria decision-making and simulation (a case study: Iran Godakht Company)," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 1-15.
    • Handle: RePEc:ids:ijpqma:v:17:y:2016:i:1:p:1-15
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    References listed on IDEAS

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    1. Carlson, John G. & Yao, Andrew C., 1992. "Mixed model assembly simulation," International Journal of Production Economics, Elsevier, vol. 26(1-3), pages 161-167, February.
    2. Baykoc, Omer Faruk & Erol, Serpil, 1998. "Simulation modelling and analysis of a JIT production system," International Journal of Production Economics, Elsevier, vol. 55(2), pages 203-212, July.
    3. Iassinovski, Serguei & Artiba, Abdelhakim & Fagnart, Christophe, 2008. "A generic production rules-based system for on-line simulation, decision making and discrete process control," International Journal of Production Economics, Elsevier, vol. 112(1), pages 62-76, March.
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    Cited by:

    1. Sandhya Dixit & Tilak Raj, 2018. "A Hybrid MADM Approach for the Evaluation of Different Material Handling Issues in Flexible Manufacturing Systems," Administrative Sciences, MDPI, vol. 8(4), pages 1-19, November.
    2. Nihan Kabadayi & Mohammad Dehghanimohammadabadi, 2022. "Multi-objective supplier selection process: a simulation–optimization framework integrated with MCDM," Annals of Operations Research, Springer, vol. 319(2), pages 1607-1629, December.

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