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TALEBE DAYALI MALZEME İHTİYAÇ PLANLAMASI: KARŞILAŞTIRMALI ANALİZ VE PARAMETRE OPTİMİZASYONU

Year 2024, Volume: 35 Issue: 2, 167 - 188, 01.09.2024

Abstract

Talebe Dayalı Malzeme İhtiyaç Planlaması (TDMİP), geleneksel Malzeme İhtiyaç Planlamasına (MİP) bir alternatif olarak ortaya çıkan, talep odaklı ve esnek bir planlama yaklaşımıdır. TDMİP, envanter seviyelerini etkin bir şekilde yöneterek dinamik ve değişken taleplere hızlı bir şekilde tepki vermeyi hedeflemektedir. Bu karakteristikleri sayesinde TDMİP, günümüz dinamik iş ortamında etkin bir malzeme yönetimi ve ihtiyaç planlaması yöntemi olarak dikkat çekmektedir. Bu çalışmada, TDMİP yaklaşımının, bağlantı elemanları satışı yapan bir firmada uygulanması ile ortaya çıkan performansı, geleneksel MİP ile karşılaştırılmıştır. Tedarik sürelerinin stokastik yapıda olması nedeniyle, karşılaştırmalar benzetim modellemesi kullanılarak gerçekleştirilmiştir. Karşılaştırmaların eşit koşullarda olması açısından hem TDMİP hem de MİP için parametrelerin en iyi değerleri benzetim optimizasyonu ile belirlenmiş ve karşılaştırmalarda bu parametre değerleri kullanılmıştır. Gerçek talep verileri kullanılarak yapılan karşılaştırmalarda TDMİP’in MİP’e göre hizmet düzeyinde %4.1 artış, toplam envanter maliyetinde %35.1 azalma ve ortalama stok seviyesinde ise % 64.8 azalma sağladığı görülmüştür.

Ethical Statement

Bu çalışmada araştırma ve yayın etiğine uyulmuştur.

References

  • Achergui, A., Allaoui, H. ve Hsu, T. (2022). Demand Driven MRP with Supplier Selection. IFAC-PapersOnLine, 55 (10), 257–262. Doi:https//doi.org/10.1016/j.ifacol.2022.09.398.
  • Al-Ammar, E. J. (2018). Implementation of a Mix DDMRP-Kanban Supply Chain System within a Multi-Product Industrial Company: Case of Liban Cables SAL. PhD thesis, Lebanon: Paris Dauphine University, France and Saint Joseph University.
  • Azzamouri, A., Baptiste, P., Dessevre, G., ve Pellerin,R. (2021). Demand Driven Material Requirements Planning (DDMRP): A Systematic Review and Classification. Journal of Industrial Engineering and Management, 14 (3), 439–456. Doi:https://doi.org/10.3926/jiem.3331
  • Azzamouri, A., Baptiste, P., Pellerin, R., ve Dessevre. G. (2023). Impact of the Continuous and Periodic Assessment of a Buffer Replenishment on the DDMRP Method. International Journal of Production Research, 61(16), 5637-5658. Doi: https:/doi.org/10.1080/00207543.2022.2109219
  • Butturi, M., Giuseppina de Rosa, A., Balugani, E. ve Gamberini, R. (2021). Understanding the Demand Driven Material Requirements Planning Scope of Application: A Critical Literature Review. Annals of DAAAM and Proceedings of the International DAAAM Symposium, 32, 462–471. Vienna, Austria. Doi:https://doi.org/10.2507/32nd.daaam.proceedings.067
  • Cuartas, C., ve Aguilar, J. (2022). Hybrid Algorithm Based on Reinforcement Learning for Smart Inventory Management. Journal of Intelligent Manufacturing, 34, 124-149. Doi: https://doi.org/10.1007/s10845-022-01982-5
  • Damand, D., Lahrichi, Y., ve Barth, M. (2023) Parameterisation of Demand-Driven Material Requirements Planning: A Multi-Objective Genetic Algorithm, International Journal of Production Research. 61(15). 5134-5155. Doi: https://doi.org/ 10.1080/00207543.2022.2098074
  • Dessevre, G., Baptiste,P., Lamothe, J. ve Pellerin, R. (2021). Visual Charts Produced by Simulation to Correlate Service Rate, Resource Utilization and DDMRP Parameters. International Journal of Production Research, 61(3), 741-753. Doi:https://doi.org/10.1080/00207543.2021.2015808
  • Dessevre, G., Lamothe, J., Pellerin, R., Maha B., Baptiste, P. ve Pomponne, V. (2023). Comparison of Pull Management Policies for a Divergent Process with DDMRP Buffers: An Industrial Case Study. International Journal of Production Research, 61(23), 8022-8042. Doi: https://doi.org/10.1080/00207543.2022.2162997
  • El Marzougui, M., Messaoudi, N., Dachry, W., Sarir, H.ve Bensassi, B. (2020). Demand Driven MRP: Literature Review and Research Issues. 13ème Conference Internationale Demodelisation, Optimisation Et Simulation, Agadir, Maroc.
  • Glover, F., Kelly, J.P. ve Laguna, M. (1996) New Advances and Applications of Combining Simulation and Optimization, Proceedings of the 1996 Winter Simulation Conference, 144-152, Coronado, California, USA.
  • Ihme, M. (2015). Interpreting and Applying Demand Driven MRP: A Case Study. PhD Thesis, Nottingham Trent University.
  • Kortabarria, A., Apaolaza, U., Lizarralde, A. ve Amorrortu, I. (2018). Material Management without Forecasting: From MRP to Demand Driven MRP. Journal of Industrial Engineering and Management, 11 (4).632–650. Doi: https://doi.org/10.3926/jiem.2654
  • Lahrichi, Y., Damand, D. ve Barth M. (2022). A First MILP Model for the Parameterization of Demand-Driven MRP. Computers & Industrial Engineering. 174, 108769. Doi: https://doi.org/10.1016/j.cie.2022.108769
  • Lee, C., ve Rim, S. (2019). A Mathematical Safety Stock Model for DDMRP Inventory Replenishment. Mathematical Problems in Engineering, 2019 (September), 1–10. Doi: https://doi.org/10.1155/2019/6496309
  • Miclo, R., Fontanili, F., Lauras, M., Lamothe, J. ve Milian, B. (2015). MRP vs. Demand-Driven MRP: Towards an Objective Comparison. Proceedings of 2015 International Conference on Industrial Engineering and Systems Management, 1072–1080, Seville, Spain. Doi: https://doi.org/10.1109/IESM.2015.7380288
  • Miclo, R., Lauras, M., Fontanili, F., Lamothe, J. ve Melnyk, S.A. (2019). Demand Driven MRP: Assessment of a New Approach to Materials Management. International Journal of Production Research, 57 (1), 166–181. Doi: https://doi.org/10.1080/00207543.2018.1464230
  • Orue, A., Lizarralde, A. ve Kortabarria, A. (2020). Demand Driven MRP – the Need to Standardise an Implementation Process. International Journal of Production Management and Engineering, 8(2), 65–73. Doi: https://doi.org/10.4995/ijpme.2020.12737
  • Ptak, C., ve Smith C. (2011). Orlicky’s Material Requirements Planning. New-York: Mc Graw Hill Education.
  • Ptak, C., ve Smith, C. (2016). Demand Driven Material Requirements Planning (DDMRP). Connecticut: Industrial Press, Inc.
  • Shofa, M. J., Moeis, A.O., ve Restiana, N. (2018). Effective Production Planning for Purchased Part under Long Lead Time and Uncertain Demand: MRP vs Demand-Driven MRP. IOP Conference Series: Materials Science and Engineering, 337. Institute of Physics Publishing. Doi: https://doi.org/10.1088/1757-899X/337/1/012055
  • Shofa, M.J., ve Widyarto, W. (2017). Effective Production Control in an Automotive Industry: MRP vs. Demand-Driven MRP. AIP Conference Proceedings, Vol.1855. American Institute of Physics Inc. Doi: https://doi.org/10.1063/1.4985449
  • Thürer, M., Fernandes, N. ve Stevenson, M. (2022). Production Planning and Control in Multi-Stage Assembly Systems: An Assessment of Kanban, MRP, OPT (DBR) and DDMRP by Simulation. International Journal of Production Research, 60(3), 1036–1050. Doi: https://doi.org/10.1080/00207543.2020.1849847
  • Velasco A., Patricia, A., Mascle, C. ve Baptiste. P. (2020). Applicability of Demand-Driven MRP in a Complex Manufacturing Environment. International Journal of Production Research, 58 (14), 4233–4245. Doi: https://doi.org/10.1080/00207543.2019.1650978
Year 2024, Volume: 35 Issue: 2, 167 - 188, 01.09.2024

Abstract

References

  • Achergui, A., Allaoui, H. ve Hsu, T. (2022). Demand Driven MRP with Supplier Selection. IFAC-PapersOnLine, 55 (10), 257–262. Doi:https//doi.org/10.1016/j.ifacol.2022.09.398.
  • Al-Ammar, E. J. (2018). Implementation of a Mix DDMRP-Kanban Supply Chain System within a Multi-Product Industrial Company: Case of Liban Cables SAL. PhD thesis, Lebanon: Paris Dauphine University, France and Saint Joseph University.
  • Azzamouri, A., Baptiste, P., Dessevre, G., ve Pellerin,R. (2021). Demand Driven Material Requirements Planning (DDMRP): A Systematic Review and Classification. Journal of Industrial Engineering and Management, 14 (3), 439–456. Doi:https://doi.org/10.3926/jiem.3331
  • Azzamouri, A., Baptiste, P., Pellerin, R., ve Dessevre. G. (2023). Impact of the Continuous and Periodic Assessment of a Buffer Replenishment on the DDMRP Method. International Journal of Production Research, 61(16), 5637-5658. Doi: https:/doi.org/10.1080/00207543.2022.2109219
  • Butturi, M., Giuseppina de Rosa, A., Balugani, E. ve Gamberini, R. (2021). Understanding the Demand Driven Material Requirements Planning Scope of Application: A Critical Literature Review. Annals of DAAAM and Proceedings of the International DAAAM Symposium, 32, 462–471. Vienna, Austria. Doi:https://doi.org/10.2507/32nd.daaam.proceedings.067
  • Cuartas, C., ve Aguilar, J. (2022). Hybrid Algorithm Based on Reinforcement Learning for Smart Inventory Management. Journal of Intelligent Manufacturing, 34, 124-149. Doi: https://doi.org/10.1007/s10845-022-01982-5
  • Damand, D., Lahrichi, Y., ve Barth, M. (2023) Parameterisation of Demand-Driven Material Requirements Planning: A Multi-Objective Genetic Algorithm, International Journal of Production Research. 61(15). 5134-5155. Doi: https://doi.org/ 10.1080/00207543.2022.2098074
  • Dessevre, G., Baptiste,P., Lamothe, J. ve Pellerin, R. (2021). Visual Charts Produced by Simulation to Correlate Service Rate, Resource Utilization and DDMRP Parameters. International Journal of Production Research, 61(3), 741-753. Doi:https://doi.org/10.1080/00207543.2021.2015808
  • Dessevre, G., Lamothe, J., Pellerin, R., Maha B., Baptiste, P. ve Pomponne, V. (2023). Comparison of Pull Management Policies for a Divergent Process with DDMRP Buffers: An Industrial Case Study. International Journal of Production Research, 61(23), 8022-8042. Doi: https://doi.org/10.1080/00207543.2022.2162997
  • El Marzougui, M., Messaoudi, N., Dachry, W., Sarir, H.ve Bensassi, B. (2020). Demand Driven MRP: Literature Review and Research Issues. 13ème Conference Internationale Demodelisation, Optimisation Et Simulation, Agadir, Maroc.
  • Glover, F., Kelly, J.P. ve Laguna, M. (1996) New Advances and Applications of Combining Simulation and Optimization, Proceedings of the 1996 Winter Simulation Conference, 144-152, Coronado, California, USA.
  • Ihme, M. (2015). Interpreting and Applying Demand Driven MRP: A Case Study. PhD Thesis, Nottingham Trent University.
  • Kortabarria, A., Apaolaza, U., Lizarralde, A. ve Amorrortu, I. (2018). Material Management without Forecasting: From MRP to Demand Driven MRP. Journal of Industrial Engineering and Management, 11 (4).632–650. Doi: https://doi.org/10.3926/jiem.2654
  • Lahrichi, Y., Damand, D. ve Barth M. (2022). A First MILP Model for the Parameterization of Demand-Driven MRP. Computers & Industrial Engineering. 174, 108769. Doi: https://doi.org/10.1016/j.cie.2022.108769
  • Lee, C., ve Rim, S. (2019). A Mathematical Safety Stock Model for DDMRP Inventory Replenishment. Mathematical Problems in Engineering, 2019 (September), 1–10. Doi: https://doi.org/10.1155/2019/6496309
  • Miclo, R., Fontanili, F., Lauras, M., Lamothe, J. ve Milian, B. (2015). MRP vs. Demand-Driven MRP: Towards an Objective Comparison. Proceedings of 2015 International Conference on Industrial Engineering and Systems Management, 1072–1080, Seville, Spain. Doi: https://doi.org/10.1109/IESM.2015.7380288
  • Miclo, R., Lauras, M., Fontanili, F., Lamothe, J. ve Melnyk, S.A. (2019). Demand Driven MRP: Assessment of a New Approach to Materials Management. International Journal of Production Research, 57 (1), 166–181. Doi: https://doi.org/10.1080/00207543.2018.1464230
  • Orue, A., Lizarralde, A. ve Kortabarria, A. (2020). Demand Driven MRP – the Need to Standardise an Implementation Process. International Journal of Production Management and Engineering, 8(2), 65–73. Doi: https://doi.org/10.4995/ijpme.2020.12737
  • Ptak, C., ve Smith C. (2011). Orlicky’s Material Requirements Planning. New-York: Mc Graw Hill Education.
  • Ptak, C., ve Smith, C. (2016). Demand Driven Material Requirements Planning (DDMRP). Connecticut: Industrial Press, Inc.
  • Shofa, M. J., Moeis, A.O., ve Restiana, N. (2018). Effective Production Planning for Purchased Part under Long Lead Time and Uncertain Demand: MRP vs Demand-Driven MRP. IOP Conference Series: Materials Science and Engineering, 337. Institute of Physics Publishing. Doi: https://doi.org/10.1088/1757-899X/337/1/012055
  • Shofa, M.J., ve Widyarto, W. (2017). Effective Production Control in an Automotive Industry: MRP vs. Demand-Driven MRP. AIP Conference Proceedings, Vol.1855. American Institute of Physics Inc. Doi: https://doi.org/10.1063/1.4985449
  • Thürer, M., Fernandes, N. ve Stevenson, M. (2022). Production Planning and Control in Multi-Stage Assembly Systems: An Assessment of Kanban, MRP, OPT (DBR) and DDMRP by Simulation. International Journal of Production Research, 60(3), 1036–1050. Doi: https://doi.org/10.1080/00207543.2020.1849847
  • Velasco A., Patricia, A., Mascle, C. ve Baptiste. P. (2020). Applicability of Demand-Driven MRP in a Complex Manufacturing Environment. International Journal of Production Research, 58 (14), 4233–4245. Doi: https://doi.org/10.1080/00207543.2019.1650978
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Industrial Engineering
Journal Section Research Articles
Authors

Özlem Uzun Araz 0000-0001-5630-6170

Mehmet Ali Ilgın 0000-0003-1765-2470

Özgür Eski 0000-0001-5454-8029

Ceyhun Araz 0009-0008-0931-3851

Ayşenur Seymen Güzel 0000-0001-6298-9852

Resmiye Dalyan 0009-0003-3084-292X

Early Pub Date August 24, 2024
Publication Date September 1, 2024
Submission Date February 14, 2024
Acceptance Date May 26, 2024
Published in Issue Year 2024 Volume: 35 Issue: 2

Cite

APA Uzun Araz, Ö., Ilgın, M. A., Eski, Ö., Araz, C., et al. (2024). TALEBE DAYALI MALZEME İHTİYAÇ PLANLAMASI: KARŞILAŞTIRMALI ANALİZ VE PARAMETRE OPTİMİZASYONU. Endüstri Mühendisliği, 35(2), 167-188.

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