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Improvement of Eyeglass Lens Production Using Simulation Modeling and Dynamic Buffer Optimization

Author

Listed:
  • Brun Daria
  • Szwed Cezary

    (Warsaw University of Technology, Faculty of Management, Warsaw, POLAND)

Abstract

The subject of the paper is the investigation of possible improvements to the process of eyeglass lenses production. The research area concerns the application of modern IT tools to the enhancement of production results, in the context of digitalization of the economy, including industry. The main objective is to improve the efficiency of the realized production process in terms of the defined quality criterion. The applied approach is based on a simulation experiment method. A computer program implementing this method was used. The results show the effectiveness and universality of the proposed approach for the studied class of problems. The main theoretical contribution to the studied field is integration of the buffer allocation issue, defined as an optimization problem, into the simulation experiment method. The practical conclusions show the benefits for the company from the perspective of implementation of the production process.

Suggested Citation

  • Brun Daria & Szwed Cezary, 2021. "Improvement of Eyeglass Lens Production Using Simulation Modeling and Dynamic Buffer Optimization," Foundations of Management, Sciendo, vol. 13(1), pages 195-208, January.
    • Handle: RePEc:vrs:founma:v:13:y:2021:i:1:p:195-208:n:10
    DOI: 10.2478/fman-2021-0015
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    References listed on IDEAS

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    1. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
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    More about this item

    Keywords

    production management; simulation modeling; optimization algorithms;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics

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