Have a personal or library account? Click to login
Improvement of Eyeglass Lens Production Using Simulation Modeling and Dynamic Buffer Optimization Cover

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

By: Daria Brun and  Cezary Szwed  
Open Access
|Dec 2021

References

  1. Akinc, U., Jack, R.M., 2015. Make-to-forecast: Customization with fast Delivery. International Journal of Operations & Production Management, Vol. 35, Issue 5, pp.728–750.
  2. Banks, J., 1984. Discrete-Event Systems Simulation. Prentice-Hall, New Jersey.
  3. Barman, S., and Canizares, A.E., 2015. A Survey of Mass Customization in Practice. Int. J. Supply Chain Manag. 4, pp.65–72.
  4. Behúnová, A., Husár, J., Behún J., Knapþíková L., 2017. Manufacturing Processes Simulation of Mass Customization Used by Education of Technical and Economical Subjects. 15th International Conference on Emerging eLearning Technologies and Applications (ICETA), Stary Smokovec, Slovakia.
  5. Braunecker, B., Hentschel, R., Tiziani, H.J., 2008. Advanced Optics Using Aspherical Elements. SPIE Press.
  6. Da Silveira, G., Borenstein, D., Fogliatto, F.S., 2001. Mass Customization: Literaturę Review and Research Directions. International Journal of Production Economics. Elsevier, Vol. 72 (1), pp.1–13.
  7. Demir, L., S. Tunali, D.T., Eliiyi, D.T., 2014. The State of the Art on Buffer Allocation Problem: A Comprehensive Survey. Journal of Intelligent Manufacturing, Vol. 25, No. 3, pp.371–392.
  8. Gyulai, D., Pfeiffer, A., Nick, G.A., Gallina, V., Sihn, W., Monostori, L., 2018. Lead Time Prediction in a Flow-shop Environment with Analytical and Machine Learning Approaches. IFAC-PapersOnLine, Volume 51, No. 11, pp.1029–1034.
  9. Joubert, J.W., Kotze, D.J., 2020. Solving the Buffer Allocation Problem Using Simulation-Based Optimisation. ORiON Journal, Vol. 36, No. 2, pp.111–139.
  10. Law, A.M., 2015. Simulation Modeling and Analysis, 5.th ed, New York: McGraw-Hill.
  11. Malik, A.A., 2021. Framework to Model Virtual Factories: A Digital Twin View. Electrical Engineering and Systems Science, arXiv:2104.03034v1.
  12. Qiao, D., Wang, Y., 2021. A Review of the Application of Discrete Event Simulation in Manufacturing. Journal of Physics: Conference Series. 3rd International Conference on Electronic Engineering and Informatics (EEI 2021), Dali, China.
  13. Pine, J., Victor, B., Boyton, A., 1993. Making Mass Customization Work. Harvard Business Review, 71 (5), pp.108–111.
  14. Simbolon, R., Santoso, S., 2021. Product and Service Quality Improvement in Manufacturing: A Study of Optical Lens Manufacturing in Indonesia. Media Ekonomi dan Manajemen, Vol. 36, No. 1, pp.76–88.
  15. Suzić, N., Forza, C., Trentin, A., Anišić, Z., 2018. Implementation Guidelines for Mass Customization: Current Characteristics and Suggestions for Improvement. Production Planning & Control. The Management of Operations, Vol. 29, No 10, pp.856–871.
  16. Voit, P., Beller, M., Reinhart, G., 2020. A Methodology for Simulation Production Systems Considering the Degree of Autonomy. In: P. Nyhuis, D. Herberger, M. Hübner, (Eds.). Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020), pp.332–341. DOI: https://doi.org/10.15488/9675.
DOI: https://doi.org/10.2478/fman-2021-0015 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 195 - 208
Published on: Dec 18, 2021
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Daria Brun, Cezary Szwed, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.