Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2023, Cilt: 12 Sayı: 2, 557 - 567, 27.06.2023
https://doi.org/10.17798/bitlisfen.1274105

Öz

Destekleyen Kurum

Yoktur

Proje Numarası

Yoktur

Teşekkür

İrem Ünal ve İrem Buğdaycı'ya yapılan çalışmada sağladıkları destek için teşekkür ederim.

Kaynakça

  • [1] B. Rabta and D. Aïssani, “Strong stability in an (R, s, S) inventory model”, International Journal of Production Economics, vol. 97, no.2 , pp. 159-171, 2005.
  • [2] E. Babiloni, E. Guijarro, M. Cardos, and S. Estelles, “Exact Fill Rates for the (R, S) Inventory Control with Discrete Distributed Demands for the Backordering Case”, Informatica Economica, vol. 16, no. 3, pp.19-26, 2012.
  • [3] F. Janssen, R. Heuts, and T. de Kok, “On the (R,s, Q) inventory model when demand is modeled as a compound Bernoulli process”, European Journal of Operational Research, vol. 104, no. 1998, pp. 423-436, 1996.
  • [4] M. Gökçen, A. Boru, A. T. Dosdogru, and F. Geyik, “(R, S, S) Inventory Control Policy and Supplier Selection in A Two Echelon Supply Chain: An Optimization via Simulation Approach”, Proceedings of the 2015 Winter Simulation Conference (WSC), pp. 2057-2067, IEEE, December 2015.
  • [5] L.R., Rodrigues, and T. Yoneyama, “A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint”, Computers & Industrial Engineering, vol. 148, pp. 106724, 2020.
  • [6] S.A. Tarim, S, and B. M. Smith, “Constraint programming for computing non-stationary (R, S) inventory policies”, European Journal of Operational Research, vol. 189, no. 3, pp. 1004–1021, 2008.
  • [7] J.J.A. Moors, and L. W. G. Strijbosch, “Exact fill rates for (R, s, S) inventory control with gamma distributed demand”, Journal of the Operational Research Society, vol. 53, no. 11, pp. 268-1274, 2017
  • [8] B.Y. Ekren, and B. Arslan, “Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network”, An International Journal of Optimization and Control: Theories & Applications, vol. 10, pp. 9-16, 2019.
  • [9] J.J.A. Moors, and L. W. G. Strijbosch, “Simulating an (R, s, S) Inventory System”, Econometrics, CentER Discussion Paper, Vol. 2002-94, 2002.
  • [10] S. Aytekin, “Tam Zamanında Stok Yönetimi (Just-in-Time) Felsefesinin Hastane İşletmelerine Uygulanabilirliği ve Bir Üniversite Hastanesi Örneği”, Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 12, no. 21, pp. 102–115, 2009.
  • [11] M. Karahan, and Ş. Aslan, “Bir Çimento Fabrikasında Hammadde Stok Kontrolü Uygulaması”. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 21, no. 3, pp. 773–783, 2016.
  • [12] M. Fisher, and A. Raman, “Reducing the Cost of Demand Uncertainty through Accurate Response to Early Sales”, Operations Research, vol. 44, no. 1, pp. 87-99, 1996.
  • [13] V.S.R. Madduri, “Inventory Policies for perishable products wıth fıxed Shelf Lives”, The Pennsylvania State University, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Pennsylvania, (2009).
  • [14] Ö. Yalçınkaya, and Y. Karadaş, “Bir Otomotiv Yedek Parça Şirketinde ABC Analizi ve Sipariş Sürecinin Simülasyonla Modellenmesi”, DEU Muhendislik Fakultesi Fen ve Muhendislik Dergisi. Vol. 22., pp. 287-300, 2020.
  • [15] L.C., Wang, C. Y. Cheng, Y. T. Tseng, and Y. F. Liu, “Demand-pull replenishment model for hospital inventory management: a dynamic buffer-adjustment approach”, International Journal of Production Research, vol. 53, no. 24, 7pp. 533-7546, 2015.
  • [16] M. Aslantaş, “Bir transformatör firmasında stok kontrol parametrelerinin simülasyon tabanlı optimizasyonu”, Master's thesis, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü. (2019).
  • [17] S. Kasımoğlu, G. Demir, B. P. Yaz, and D. H. Utku, “An Application: A Model with Sequence Dependent Setup Times for Parallel Machines for the Die House Station in a White Goods Manufacturing Company”, Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 4, no. 1, pp. 33-44, 2021.
  • [18] D.H. Utku, “The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization”, Sustainability, vol.15, no. 3, pp. 2331, 2023.
  • [19] J. Banks, J.S. Carson, B.L. Nelson, and D.M. Nicol, “Discrete-event system simulation”, Pearson new international edition, Pearson Higher Ed. 2013.
  • [20] A. Pınar, D.H. Utku, and F. Kasımoglu, “An Inventory Optimization Model for a Textile Manufacturing Company”. Journal of Turkish Operations Management, vol. 6, no. 2, pp. 1252-1262, 2022.

An Application of an (R, S) Inventory Management Model for a Construction Materials Manufacturing Company by Using Simulation

Yıl 2023, Cilt: 12 Sayı: 2, 557 - 567, 27.06.2023
https://doi.org/10.17798/bitlisfen.1274105

Öz

Globalization has motivated companies to develop competitive strategies in today's business environment. In this context, they lead them to review their costs. When the cost items are analyzed, the most critical point that will give an advantage to companies in terms of cost is that companies healthily manage their inventory. Inventory management is of vital importance as the companies have a significant percentage in terms of cost and ensure that the customer demands are met in a timely and sufficient manner. This study focuses on the problems of the company's inventory control decisions that ensure balanced and minimum costs through effective inventory management. In this study, one-year data on demand, consumption, and inventory of a company that uses traditional methods including semi-finished products are considered. Since the demand is not known precisely and it is probabilistic, we apply the (R, S) inventory control model. We use simulation as a stochastic methodology to determine the inventory level of the construction company under consideration. As a result of the study, after comparing the actual data in the current system with the developed model we apply, it is observed that the cost reduction and its use provided additional benefits to the company.

Proje Numarası

Yoktur

Kaynakça

  • [1] B. Rabta and D. Aïssani, “Strong stability in an (R, s, S) inventory model”, International Journal of Production Economics, vol. 97, no.2 , pp. 159-171, 2005.
  • [2] E. Babiloni, E. Guijarro, M. Cardos, and S. Estelles, “Exact Fill Rates for the (R, S) Inventory Control with Discrete Distributed Demands for the Backordering Case”, Informatica Economica, vol. 16, no. 3, pp.19-26, 2012.
  • [3] F. Janssen, R. Heuts, and T. de Kok, “On the (R,s, Q) inventory model when demand is modeled as a compound Bernoulli process”, European Journal of Operational Research, vol. 104, no. 1998, pp. 423-436, 1996.
  • [4] M. Gökçen, A. Boru, A. T. Dosdogru, and F. Geyik, “(R, S, S) Inventory Control Policy and Supplier Selection in A Two Echelon Supply Chain: An Optimization via Simulation Approach”, Proceedings of the 2015 Winter Simulation Conference (WSC), pp. 2057-2067, IEEE, December 2015.
  • [5] L.R., Rodrigues, and T. Yoneyama, “A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint”, Computers & Industrial Engineering, vol. 148, pp. 106724, 2020.
  • [6] S.A. Tarim, S, and B. M. Smith, “Constraint programming for computing non-stationary (R, S) inventory policies”, European Journal of Operational Research, vol. 189, no. 3, pp. 1004–1021, 2008.
  • [7] J.J.A. Moors, and L. W. G. Strijbosch, “Exact fill rates for (R, s, S) inventory control with gamma distributed demand”, Journal of the Operational Research Society, vol. 53, no. 11, pp. 268-1274, 2017
  • [8] B.Y. Ekren, and B. Arslan, “Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network”, An International Journal of Optimization and Control: Theories & Applications, vol. 10, pp. 9-16, 2019.
  • [9] J.J.A. Moors, and L. W. G. Strijbosch, “Simulating an (R, s, S) Inventory System”, Econometrics, CentER Discussion Paper, Vol. 2002-94, 2002.
  • [10] S. Aytekin, “Tam Zamanında Stok Yönetimi (Just-in-Time) Felsefesinin Hastane İşletmelerine Uygulanabilirliği ve Bir Üniversite Hastanesi Örneği”, Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 12, no. 21, pp. 102–115, 2009.
  • [11] M. Karahan, and Ş. Aslan, “Bir Çimento Fabrikasında Hammadde Stok Kontrolü Uygulaması”. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 21, no. 3, pp. 773–783, 2016.
  • [12] M. Fisher, and A. Raman, “Reducing the Cost of Demand Uncertainty through Accurate Response to Early Sales”, Operations Research, vol. 44, no. 1, pp. 87-99, 1996.
  • [13] V.S.R. Madduri, “Inventory Policies for perishable products wıth fıxed Shelf Lives”, The Pennsylvania State University, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Pennsylvania, (2009).
  • [14] Ö. Yalçınkaya, and Y. Karadaş, “Bir Otomotiv Yedek Parça Şirketinde ABC Analizi ve Sipariş Sürecinin Simülasyonla Modellenmesi”, DEU Muhendislik Fakultesi Fen ve Muhendislik Dergisi. Vol. 22., pp. 287-300, 2020.
  • [15] L.C., Wang, C. Y. Cheng, Y. T. Tseng, and Y. F. Liu, “Demand-pull replenishment model for hospital inventory management: a dynamic buffer-adjustment approach”, International Journal of Production Research, vol. 53, no. 24, 7pp. 533-7546, 2015.
  • [16] M. Aslantaş, “Bir transformatör firmasında stok kontrol parametrelerinin simülasyon tabanlı optimizasyonu”, Master's thesis, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü. (2019).
  • [17] S. Kasımoğlu, G. Demir, B. P. Yaz, and D. H. Utku, “An Application: A Model with Sequence Dependent Setup Times for Parallel Machines for the Die House Station in a White Goods Manufacturing Company”, Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 4, no. 1, pp. 33-44, 2021.
  • [18] D.H. Utku, “The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization”, Sustainability, vol.15, no. 3, pp. 2331, 2023.
  • [19] J. Banks, J.S. Carson, B.L. Nelson, and D.M. Nicol, “Discrete-event system simulation”, Pearson new international edition, Pearson Higher Ed. 2013.
  • [20] A. Pınar, D.H. Utku, and F. Kasımoglu, “An Inventory Optimization Model for a Textile Manufacturing Company”. Journal of Turkish Operations Management, vol. 6, no. 2, pp. 1252-1262, 2022.
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Durdu Hakan Utku 0000-0002-5755-6101

Proje Numarası Yoktur
Erken Görünüm Tarihi 27 Haziran 2023
Yayımlanma Tarihi 27 Haziran 2023
Gönderilme Tarihi 31 Mart 2023
Kabul Tarihi 5 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 12 Sayı: 2

Kaynak Göster

IEEE D. H. Utku, “An Application of an (R, S) Inventory Management Model for a Construction Materials Manufacturing Company by Using Simulation”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, c. 12, sy. 2, ss. 557–567, 2023, doi: 10.17798/bitlisfen.1274105.



Bitlis Eren Üniversitesi
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