Main Article Content

Abstract

In this study, a mathematical model has been developed to make the facility layout planning of the annex building, which is being built right next to the old building of a factory that produces plastic parts. Some or all parts of the departments, such as injection machines, semi-finished products, product, raw material warehouses, molding room, and paint shop in the old building of the factory can be moved to the new building. Nevertheless, some cannot be moved. Since injection machines use cranes for electricity, plumbing, and mold transport, relocation is very costly. Different layouts are proposed with the developed mathematical model for seven scenarios that allow and do not allow partitions of the departments. The proposed layout plans were compared in terms of the total carrying costs of the products and the carrying costs of the sections. In this way, the factory has been presented with a significant cost reduction opportunity.

Keywords

Facility layout planning GAMS Mathematical model Optimization

Article Details

How to Cite
Kaklıkkaya, H., Çetin, F., Uyumaz, Şule, & Saraç, T. . (2023). A Mathematical Model for Determining the Facility Layout Plan of a Plastic Injection Factory. Enthusiastic : International Journal of Applied Statistics and Data Science, 3(2), 212–221. https://doi.org/10.20885/enthusiastic.vol3.iss2.art8

References

  1. N.A. Türkmen and S.N. Oğulata, “Hastane İş Akış ve Yerleşim Değerlendirmesi,” Master’s thesis, Çukurova University, Adana, Turkey, 2008.
  2. O. Karadaş, “Tesis Yerleşim Planlaması ve Bir İşletmede Uygulanması,” Master’s thesis, Yaşar University, İzmir, Turkey, 2016.
  3. M. Yurdakul, S. Eşkin, and Y.T., İç, “Bir İmalat Sisteminin Yerleşim Düzeninin İyileştirilmesi,” TÜBAV Bilim, vol. 2, no. 4, pp. 399–411, 2009.
  4. N. Koçak and A. Tüzemen, “Çelik Kapı Sektöründe Tesis Yerleşim Problemi: Bir Uygulama,” Journal of Business in the Digital Age, vol. 2, no. 3, pp. 129–135, Dec. 2020, doi:10.46238/jobda.833062.
  5. İ. Durak and M.S. Yıldız, “P- Medyan Tesis Yeri Seçim Problemi: Bir Uygulama,” International Journal of Alanya Faculty of Business, Vol. 7, no. 2, pp. 43–64, 2015.
  6. H.B. Ece, “A Mixed Linear Integer Model for Military Facility Layout Optimization Problem,” Master’s thesis, Middle East Technical University, Ankara, Turkey, 2015.
  7. H. Karateke and R. Şahin, “A Two-Stage Approach for the Multi-Floor Facility Layout Problem: Benders Decomposition Algorithm,” Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 36, no. 2, pp. 953–970, Mar. 2021, doi: 10.17341/gazimmfd.734297.
  8. R. Arslan, “Süreç Optimizasyonu: Tesis İçi Ürün Taşıma Operasyonunun Milk-Run ile Optimizasyonu,” Master’s thesis, Gebze Technical University, Gebze, Turkey, 2018.
  9. V. Yiğit, O. Türkbey, “Tesis Yerleşim Problemlerine Sezgisel Metotlarla Yaklaşım,” Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 18, no. 4, pp. 45–56, Apr. 2003.
  10. S. Kayserili, “Mobilya Sektöründe Faaliyet Gösteren Bir Firmada Tesis Yerleşimi Uygulaması,” Master’s thesis, Kırıkkale University, Kırıkkale, Turkey, 2017.
  11. M. Akça, “Çok Amaçlı Tesis Yerleşim Problemi: Matematiksel Model Tabanlı Sezgisel Yöntem ve Bir Uygulama,” Master’s thesis, Gazi University, Ankara, Turkey, 2017.
  12. S. Aydın, “Üretim Yönetimi,” Anadolu University Open Education Faculty, Eskişehir, Turkey, 2018.
  13. O. Karadaş, “Tesis Yerleşim Planlaması ve Bir İşletmede Uygulanması,” Master’s thesis, Yaşar Üniversitesi, Izmir, Turkey, 2016.
  14. A.N. Adıgüzel, “Tesis Yerleşimi Düzenlenmesi Problemi İçin Bir Tabu Arama Sezgisel Algoritması,” Master’s thesis, İstanbul Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Turkey, 2012.
  15. B. Turanoğlu, “Fabrika İçi Yerleşim Düzeni ve Bir İşletmede Uygulaması,” Master’s thesis, Ataturk University, Erzurum, Turkey, 2012.
  16. M. Beğik, M. Hamurcu, and T. Eren, “Stok Kontrolde Abc Analizi Ve Analitik Ağ Süreci Yönteminin Isı Cihazları Firmasında Uygulanması,” Kırıkkale Üniversitesi Sosyal Bilimler Dergisi, vol. 7, no. 1, pp. 197–216, 2017.
  17. M. Erdoğan, Ö.N. Bilişik, and Baraçlı “A Customer Satisfaction Model Based on Fuzzy TOPSIS and SERVQUAL Methods,” 5th International Conference on Applied Operational Research - ICAOR’13, 2013, pp.74–83.