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Analisis Model Sustainable Economic Order Quantity Dengan Mempertimbangkan Emisi Karbon Dan Batasan Kapasitas Gudang Untuk Menekan Total Biaya Persediaan

Dian Setiya Widodo  -  Jurusan Teknologi Manufaktur, Universitas 17 Agustus 1945 Surabaya, Indonesia
*Dana Marsetiya Utama  -  Teknik Industri Universitas Muhammadiyah Malang, Indonesia
Open Access Copyright (c) 2020 TEKNIK

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Abstract
Model Economic Order Quantity (EOQ) merupakan salah satu model persediaan dasar dalam rantai pasok. Model EOQ menawarkan pendekatan matematis untuk menentukan jumlah optimal produk yang harus dipesan oleh perusahaan ke supplier. Penelitian ini menganalisa model sutainable EOQ dengan mempertimbangkan emisi karbon dan batasan kapasitas gudang untuk meminimalkan total biaya persediaan. Percobaan numerik dan analisa sensitivitas dilakukan terhadap model EOQ usulan menggunakan metode lagrange. Terdapat dua model yang diusulkan untuk menyelesaikan permasalahan. Model pertama adalah model EOQ dengan mempertimbangkan karbon emisi dan model kedua adalah model EOQ dengan mempertimbangkan karbon emisi  dan batasan gudang. Hasil penelitian menunjukkan bahwa model sustainable EOQ dengan mempertimbangkan emisi karbon dan batasan kapasitas gudang adalah efektif untuk menyelesaikan permasalahan penentuan jumlah optimal yang harus dipesan oleh perusahaan sehingga menekan total biaya persediaan
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Keywords: Economic Order Quantity; biaya persediaan; emisi karbon; batasan kapasitas gudang

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  1. Battini, D., Calzavara, M., Isolan, I., Sgarbossa, F., Zangaro, F. (2018). Sustainability in Material Purchasing: A Multi-Objective Economic Order Quantity Model under Carbon Trading. Sustainability, 10(12), 4438
  2. Benjaafar, S., Li, Y., Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. IEEE transactions on automation science and engineering, 10(1), 99-116
  3. Bouchery, Y., Ghaffari, A., Jemai, Z., Dallery, Y. (2012). Including sustainability criteria into inventory models. European Journal of Operational Research, 222(2), 229-240
  4. Cao, E., Yu, M. (2018). The bright side of carbon emission permits on supply chain financing and performance. Omega
  5. Darom, N. A., Hishamuddin, H., Ramli, R., Mat Nopiah, Z. (2018). An inventory model of supply chain disruption recovery with safety stock and carbon emission consideration. Journal of Cleaner Production, 197, 1011-1021
  6. Elsayed, E. A., Boucher, T. O. (1994). Analysis and Control of Production Systems, 2nd: Prentice-Hall International
  7. Fan, J., Wang, G. (2018). Joint optimization of dynamic lot and warehouse sizing problems. European Journal of Operational Research, 267(3), 849-854
  8. Ghosh, A., Jha, J. K., Sarmah, S. P. (2017). Optimal lot-sizing under strict carbon cap policy considering stochastic demand. Applied Mathematical Modelling, 44, 688-704
  9. Heizer, J. (2016). Operations Management. 11/e: Pearson Education India
  10. Liao, H., Deng, Q. (2018). A carbon-constrained EOQ model with uncertain demand for remanufactured products. Journal of Cleaner Production, 199, 334-347
  11. Lin, T.-Y., Sarker, B. R. (2017). A pull system inventory model with carbon tax policies and imperfect quality items. Applied Mathematical Modelling, 50, 450-462
  12. Ma, X., Ji, P., Ho, W., Yang, C.-H. (2018). Optimal procurement decision with a carbon tax for the manufacturing industry. Computers & Operations Research, 89, 360-368
  13. Maulana, S. K. D. B., Utama, D. M., Asrofi, M. S., Ningrum, I. S., Alba, N., Ahfa, H. A., Zein, T. A. ( 2019). The Capacitated Sustainable EOQ Model: A Model Considering Emission Tax. Jurnal Teknik Industri, 21(1), Article In Press
  14. Micheli, G. J. L., Mantella, F. (2018). Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies. International Journal of Production Economics, 204, 316-327
  15. Prawirosentono. (2001). Management Produksi dan Operasi Edisi 1
  16. Richard, J. T. (1994). Principles of inventory and materials management. PTR Prentice Hall, 426
  17. Surnedi, Y. (2010). Analisis Manajemen Persediaan Dengan Metode EOQ Pada Optimalisasi Persediaan Bahan Baku Kain Di PT. New Suburtex. Universitas Sebelas Maret
  18. Tang, S., Wang, W., Cho, S., Yan, H. (2018). Reducing emissions in transportation and inventory management: (R, Q) Policy with considerations of carbon reduction. European Journal of Operational Research, 269(1), 327-340
  19. Tiwari, S., Daryanto, Y., Wee, H. M. (2018). Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission. Journal of Cleaner Production, 192, 281-292
  20. Utama, D. M. (2016). Penentuan Lot Size Pemesanan Bahan Baku Dengan Batasan Kapasitas Gudang. Jurnal Ilmiah Teknik Industri, 15(1), 64-68
  21. Utama, D. M. (2017a). Model Penentuan Lot Pemesanan Dengan Mempertimbangkan Unit Diskon dan Batasan Kapasitas Gudang dengan Program Dinamis. Jurnal Teknik Industri, 18(1), 94-102
  22. Utama, D. M. (2017b). Model Program Dinamis Dalam Penentuan Lot Pemesanan dengan Mempertimbangkan Batasan Modal. Paper presented at the Prosiding SENTRA (Seminar Teknologi dan Rekayasa)
  23. Utama, D. M. (2019a). An Effective Hybrid Sine Cosine Algorithm to Minimize Carbon Emission on Flow-shop Scheduling Sequence Dependent Setup. 2019, 20(1), 62-72
  24. Utama, D. M. (2019b). Model program dinamis untuk lot size multi item dengan kendala kapasitas gudang. 2019, 14(1), 21-26
  25. Utama, D. M., Baroto, T., Maharani, D., Jannah, F. R., Octaria, R. A. (2019). Algoritma ant-lion optimizer untuk meminimasi emisi karbon pada penjadwalan flow shop dependent sequence set-up. 2019, 9(1), 69-78
  26. Utama, D. M., Wardani, D. P., Halifah, S. T., Pradikta, D. C. (2019). Model Economic Production Quantity dengan Rework Process dan Batasan Gudang. Jurnal Sistem dan Manajemen Industri, 3(1), 43-49
  27. Utama, D. M., Widodo, D. S., Wicaksono, W., Ardiansyah, L. R. (2019). A New Hybrid Metaheuristics Algorithm for Minimizing Energy Consumption in the Flow Shop Scheduling Problem. International Journal of Technology, 10(2), 320-331
  28. Vaziri, S., Zaretalab, A., Esmaeili, M., Niaki, S. T. A. (2018). An integrated production and procurement design for a multi-period multi-product manufacturing system with machine assignment and warehouse constraint. Applied Soft Computing, 70, 238-262
  29. Wang, S., Ye, B. (2018). A comparison between just-in-time and economic order quantity models with carbon emissions. Journal of Cleaner Production, 187, 662-671
  30. Xu, J., Qi, Q., Bai, Q. (2018). Coordinating a dual-channel supply chain with price discount contracts under carbon emission capacity regulation. Applied Mathematical Modelling, 56, 449-468

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Last update: 2024-12-25 11:27:25

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