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

[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. AkincU. JackR.M. 2015 Make-to-forecast: Customization with fast Delivery International Journal of Operations & Production Management 35 5 728 750 10.1108/IJOPM-12-2012-0567 Search in Google Scholar

[2] Banks, J., 1984. Discrete-Event Systems Simulation. Prentice-Hall, New Jersey. BanksJ. 1984 Discrete-Event Systems Simulation Prentice-Hall New Jersey Search in Google Scholar

[3] Barman, S., and Canizares, A.E., 2015. A Survey of Mass Customization in Practice. Int. J. Supply Chain Manag. 4, pp.65–72. BarmanS. CanizaresA.E. 2015 A Survey of Mass Customization in Practice Int. J. Supply Chain Manag. 4 65 72 Search in Google Scholar

[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. BehúnováA. HusárJ. BehúnJ. KnapþíkováL. 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 10.1109/ICETA.2017.8102467 Search in Google Scholar

[5] Braunecker, B., Hentschel, R., Tiziani, H.J., 2008. Advanced Optics Using Aspherical Elements. SPIE Press. BrauneckerB. HentschelR. TizianiH.J. 2008 Advanced Optics Using Aspherical Elements SPIE Press 10.1117/3.741689 Search in Google Scholar

[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. Da SilveiraG. BorensteinD. FogliattoF.S. 2001 Mass Customization: Literaturę Review and Research Directions International Journal of Production Economics Elsevier 72 1 1 13 10.1016/S0925-5273(00)00079-7 Search in Google Scholar

[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. DemirL. S. TunaliD.T. EliiyiD.T. 2014 The State of the Art on Buffer Allocation Problem: A Comprehensive Survey Journal of Intelligent Manufacturing 25 3 371 392 10.1007/s10845-012-0687-9 Search in Google Scholar

[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. GyulaiD. PfeifferA. NickG.A. GallinaV. SihnW. MonostoriL. 2018 Lead Time Prediction in a Flow-shop Environment with Analytical and Machine Learning Approaches IFAC-PapersOnLine 51 11 1029 1034 10.1016/j.ifacol.2018.08.472 Search in Google Scholar

[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. JoubertJ.W. KotzeD.J. 2020 Solving the Buffer Allocation Problem Using Simulation-Based Optimisation ORiON Journal 36 2 111 139 10.5784/36-2-684 Search in Google Scholar

[10] Law, A.M., 2015. Simulation Modeling and Analysis, 5.th ed, New York: McGraw-Hill. LawA.M. 2015 Simulation Modeling and Analysis 5.th ed New York McGraw-Hill Search in Google Scholar

[11] Malik, A.A., 2021. Framework to Model Virtual Factories: A Digital Twin View. Electrical Engineering and Systems Science, arXiv:2104.03034v1. MalikA.A. 2021 Framework to Model Virtual Factories: A Digital Twin View Electrical Engineering and Systems Science arXiv:2104.03034v1. Search in Google Scholar

[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. QiaoD. WangY. 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 10.1088/1742-6596/1802/2/022066 Search in Google Scholar

[13] Pine, J., Victor, B., Boyton, A., 1993. Making Mass Customization Work. Harvard Business Review, 71 (5), pp.108–111. PineJ. VictorB. BoytonA. 1993 Making Mass Customization Work Harvard Business Review 71 5 108 111 Search in Google Scholar

[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. SimbolonR. SantosoS. 2021 Product and Service Quality Improvement in Manufacturing: A Study of Optical Lens Manufacturing in Indonesia Media Ekonomi dan Manajemen 36 1 76 88 10.24856/mem.v36i1.1726 Search in Google Scholar

[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. SuzićN. ForzaC. TrentinA. AnišićZ. 2018 Implementation Guidelines for Mass Customization: Current Characteristics and Suggestions for Improvement Production Planning & Control. The Management of Operations 29 10 856 871 10.1080/09537287.2018.1485983 Search in Google Scholar

[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. VoitP. BellerM. ReinhartG. 2020 A Methodology for Simulation Production Systems Considering the Degree of Autonomy In: NyhuisP. HerbergerD. HübnerM. (Eds.). Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020) 332 341 DOI: https://doi.org/10.15488/9675. Search in Google Scholar