Pemodelan Multi Channel dengan Lotsize Berbeda: Menggunakan Pendekatan Kontinyu

Authors

  • Chatarina Dian Indrawati Universitas Katolik Widya Mandala Surabaya
  • Petrus Setya Murdapa Universitas Katolik Widya Mandala Surabaya

DOI:

https://doi.org/10.24002/konstelasi.v2i1.5620

Abstract

Pusat perhatian pada paper  ini ialah bagian pencabangan distribusi (channel distribusi) pada suatu sistem supply chain. Lotsize pada masing-masing channel tersebut bisa berbeda-beda. Durasi-durasi waktu proses/kegiatan diasumsikan terdistribusi eksponensial. Konsep system dynamic digunakan untuk pemodelannya. Diambil contoh dua channel untuk mewakili multi channel. Hasil perhitungan terhadap satu contoh kasus menunjukkan kesesuaian perilaku antara model numerik system dynamics dengan model konseptualnya. Dalam hal ini terutama pada konsep mekanisme () dan profil kurva state of the system seturut waktu. Hasil penelitian ini menunjukkan bahwa cara kontinyu dapat memudahkan pemodelan dibandingkan dengan cara diskrit, dengan hasil yang tidak jauh berbeda.

References

Murdapa, P. S.. (2021), Modeling the multi-channel section in the supply chain system using the multiserver queue analogy, Jurnal Teknik Industri, Vol. 23, No.1, pp. 47-54

Forrester, J.,(1968), Urban Dynamics, Pegasus Communication, Inc. Waltham

Forrester, J., (1971), World Dynamics, 2nd edition, Wright-Allen Press, Inc. Cambridge, Massachusetts

Sterman, J.D., (2000), Business Dynamics: System Thinking and Modeling for A Complex World, Irwin McGraw-Hill Companies, Inc., Boston

Lee, CF. and Chung, CP., (2012), An Inventory Model for Deteriorating Items in a Supply Chain with System Dynamics Analysis, Procedia - Social and Behavioral Sciences, 40, pp. 41 – 51

Golroudbary, S. R. And Zahraee, S. M., (2015), System dynamics model for optimizing the recycling and collection of waste material in a closed-loop supply chain, Simulation Modelling Practice and Theory, Volume 53, April 2015, pp. 88-102

Keilhacker, M. L. And Minner, S., (2017), Supply chain risk management for critical commodities: A system dynamics model for the case of the rare earth elements, Resources, Conservation & Recycling, 125, pp. 349–362

Zhao, Q., Chang, R., Ma, J., and Wu, C., (2019), System dynamics simulation-based model for coordination of a three-level spare parts supply chain, International Transactions in Operational Research, 0, pp. 1–27, DOI: 10.1111/itor.12664

Karaman, A, and Altiok, T. R. (2009). Approximate analysis and optimization of batch ordering policies in capacitated supply chains, European Journal of Operational Research, 193, pp, 222–237

Saetta, S., Paolini, L., Tiacci, L. and Altiok, T., (2012), A decomposition approach for the performance analysis of a serial multi-echelon supply chain, International Journal of Production Research, 50(9), pp. 2380–2395

Murdapa, P. S., Pujawan, I N., Karningsih, P.D., and Nasution, A. H., (2019), A numerical analysis model involving carbon emissions in a single echelon supply chain systems with two distribution channels: A preliminary model proposed, The 6th International Conference of Industrial Engineering and Applications (ICIEA), IEEE, Waseda, Japan

Murdapa, P. S., Pujawan, I N., Karningsih, P.D., and Nasution, A. H., (2020), Incorporating carbon emissions in queuing models to determine lot sizes and inventory buffers in a supply chain, International Journal of Intelligent Enterprise, Vol 7, No. 4, pp. 373-390

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Published

21-04-2022

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