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Journal articles on the topic 'Economic Order Quantity'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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1

Yu, Gang. "Robust economic order quantity models." European Journal of Operational Research 100, no. 3 (August 1997): 482–93. http://dx.doi.org/10.1016/s0377-2217(95)00328-2.

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2

Huang, Qing, and Peng Wu. "A New Economic Order Quantity Model." Journal of Physics: Conference Series 1670 (November 2020): 012047. http://dx.doi.org/10.1088/1742-6596/1670/1/012047.

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3

Jeang, Angus. "Economic production order quantity and quality." International Journal of Production Research 49, no. 6 (March 15, 2011): 1753–83. http://dx.doi.org/10.1080/00207540903555528.

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4

Tan, Bertram, Ping Jung Hsieh, and Chinho Lin. "Marketing policies on economic order quantity." Journal of Information and Optimization Sciences 24, no. 1 (January 2003): 197–210. http://dx.doi.org/10.1080/02522667.2003.10699562.

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5

Rezaei, Jafar. "Economic order quantity for growing items." International Journal of Production Economics 155 (September 2014): 109–13. http://dx.doi.org/10.1016/j.ijpe.2013.11.026.

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6

Zhang, Qinhong, Yu-Chung Tsao, and Tsung-Hui Chen. "Economic order quantity under advance payment." Applied Mathematical Modelling 38, no. 24 (December 2014): 5910–21. http://dx.doi.org/10.1016/j.apm.2014.04.040.

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7

Lin, Tien-Yu. "An economic order quantity with imperfect quality and quantity discounts." Applied Mathematical Modelling 34, no. 10 (October 2010): 3158–65. http://dx.doi.org/10.1016/j.apm.2010.02.004.

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8

S., RAJESWARIA. "Fuzzy Economic Order Quantity Model with Imperfect Quality Items under Repair Option." Journal of Research on the Lepidoptera 51, no. 1 (February 28, 2020): 627–43. http://dx.doi.org/10.36872/lepi/v51i1/301058.

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9

Tungalag, N., M. Erdenebat, and R. Enkhbat. "A Note on Economic Order Quantity Model." iBusiness 09, no. 04 (2017): 74–79. http://dx.doi.org/10.4236/ib.2017.94006.

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10

Godichaud, Matthieu, and Lionel Amodeo. "Economic order quantity for multistage disassembly systems." International Journal of Production Economics 199 (May 2018): 16–25. http://dx.doi.org/10.1016/j.ijpe.2018.02.008.

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11

Sebatjane, Makoena, and Olufemi Adetunji. "Economic order quantity model for growing items with incremental quantity discounts." Journal of Industrial Engineering International 15, no. 4 (March 9, 2019): 545–56. http://dx.doi.org/10.1007/s40092-019-0311-0.

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12

Sirait, Ganda. "PENGENDALIAN PERSEDIAAN OBAT DENGAN PENDEKATAN ECONOMIC ORDER QUANTITY." JURNAL REKAYASA SISTEM INDUSTRI 4, no. 2 (July 10, 2019): 98. http://dx.doi.org/10.33884/jrsi.v4i2.1276.

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Product inventory in pharmacies is one of problem in controlling drug supplies. How to provide an efficientproduct, need the right calculation with the right method. EOQ method shows that there are savings oninventory cost. It is expected in this study was to determine a forecast that the drugs inventory_ control. Theapproach used in this study is quantitative descriptive. Source of data in this research using primery data sourcesobtained directly from the company. Data collection data using documentation and interviews. Data analysis used inthis research using Economic Order Quantity. The forcasting results for ordering efficient drugs in 2019 are: first,Amlodipine 5 mg 10.153 boxes are needed and at a cost of Rp. 12,843,264.00. Second, Simvastatin 20 mg 25.288 boxesare need at the cost of Rp. 30,44,245.00.
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13

Abdul Kadir, Ayad. "Managing the Economic Order Quantity: A Case Study." TANMIYAT AL-RAFIDAIN 32, no. 101 (December 1, 2010): 177–88. http://dx.doi.org/10.33899/tanra.2010.161849.

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14

Park, Kyung S. "Fuzzy-set theoretic interpretation of economic order quantity." IEEE Transactions on Systems, Man, and Cybernetics 17, no. 6 (November 1987): 1082–84. http://dx.doi.org/10.1109/tsmc.1987.6499320.

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15

Lee, Chung-Yee. "The Economic Order Quantity for Freight Discount Costs." IIE Transactions 18, no. 3 (September 1986): 318–20. http://dx.doi.org/10.1080/07408178608974710.

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16

Sana, Shib Sankar. "An Economic Order Quantity model for seasonal goods." International Journal of Operational Research 3, no. 1/2 (2008): 97. http://dx.doi.org/10.1504/ijor.2008.016156.

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17

Wang, Xiaobin, Wansheng Tang, and Ruiqing Zhao. "Fuzzy economic order quantity inventory models without backordering." Tsinghua Science and Technology 12, no. 1 (February 2007): 91–96. http://dx.doi.org/10.1016/s1007-0214(07)70014-7.

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18

Wilson, James M. "Supplier Credit in the Economic Order Quantity Model." International Journal of Operations & Production Management 11, no. 9 (September 1991): 64–71. http://dx.doi.org/10.1108/eum0000000001286.

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19

Wang, Cheng, Wansheng Tang, and Ruiqing Zhao. "Analysis of economic order quantity under fuzzy environments." Transactions of Tianjin University 16, no. 3 (May 19, 2010): 229–34. http://dx.doi.org/10.1007/s12209-010-0040-3.

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20

Rao, S. Subba, and Hamid Bahari-Kashani. "Economic order quantity and storage size — Some considerations." Engineering Costs and Production Economics 19, no. 1-3 (May 1990): 201–4. http://dx.doi.org/10.1016/0167-188x(90)90043-h.

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21

Indriastuty, Nina, Sukimin Sukimin, Rihfenti Ernayani, and Lucy Indah Jayanti. "ANALISIS PERSEDIAAN SUKU CADANG DENGAN METODE ECONOMIC ORDER QUANTITY." Jurnal GeoEkonomi 9, no. 1 (June 4, 2018): 45–59. http://dx.doi.org/10.36277/geoekonomi.v9i1.3.

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Penelitian ini bertujuan untuk mengetahui penentuan pemesanan persediaan suku cadang, dan untuk mengetahui kegiatan penyediaan suku cadang apakah telah memenuhi nilai-nilai ekonomis dalam pemanfaatan bidang keuangan dalam memenuhi kebutuhan pelanggan, serta untuk mengetahui apakah kegiatan penyediaan suku cadang telah sesuai dengan metode Economic Order Quantity. Metode penelitian menggunakan metode penelitian kualitatif, dimana study kasus dilakukan di PT. Komatsu Reman Asia Balikpapan. Metode analisis yang dipakai adalah metode Economic Order Quantity. Hasil penelitian memperlihatkan bahwa kuantitas pemesanan suku cadang yang termasuk dalam fast moving determinant item dengan memakai metode Economic Order Quantity pada periode 2011-2014 mengalami kenaikan setiap tahun bersamaan dengan bertambah banyaknya permintaan suku cadang. Total biaya persediaan suku cadang menggunakan metode Economic Order Quantity mengalami kenaikan. Total biaya persediaan suku cadang terendah yaitu pada periode 2011 dan total biaya tertinggi pada periode 2014. Sistem kegiatan suku cadang PT. Komatsu Reman Asia masih belum sesuai dengan penerapan metode Economic Order Quantity karena total cost yang dikeluarkan oleh pihak perusahaan pada periode 2011-2014 lebih besar dari total cost dengan menerapkan metode Economic Order Quantity. Sehingga penyediaan suku cadang belum memenuhi nilai-nilai ekonomis dalam pemanfaatan bidang keuangan guna pemenuhan
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22

Hidayat, Wastam Wahyu. "ECONOMIC ORDER QUANTITY SEBAGAI INFORMASI PEMASARAN PADA PERUSAHAAN MAKANAN." Makro : Jurnal Manajemen Dan Kewirausahaan 7, no. 2 (November 29, 2022): 166. http://dx.doi.org/10.53712/jmm.v7i2.1592.

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Penelitian ini bertujuan untuk mengetahui analisis pengendalian persediaan bahan baku menggunakan metode Economic Order Quantity (EOQ) pada Perusahan Makanan dengan batasan penelitian tahun 2015-2019 dan pada bahan baku tepung terigu. Teknik pengumpulan data dilakukan dengan studi pusaka dan penelitian. Sedangkan jenis penelitian yang digunakan adalah penelitian deskriptif dengan pendekatan kuantitatif dengan memaparkan bagaimana pengendalian persediaan bahan baku yang diterpakan oleh perusahaan makanan dan dianalisis menggunakan metode Economic Order Quantity (EOQ). Hasil penelitian menunjukkan bahwa total biaya menggunakan metode Economic Order Quantity (EOQ) lebih efesien dibandingkan dengan total biaya persediaan yang dikeluarkan oleh Perusahaan makanan maka terdapat penghematan biaya persediaan bahan baku jika perusahaan makanan menerapkan metode Economic Order Quantity (EOQ).
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23

Wasiak, Mariusz. "Vehicle selection model with respect to Economic Order Quantity." Archives of Transport 40, no. 4 (December 31, 2016): 77–85. http://dx.doi.org/10.5604/08669546.1225471.

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The matter of vehicle selection, optimizing the order quantity or optimizing logistics costs is extensively discussed in both Polish and foreign literature. In numerous publications, the necessity of decision making in transport or in other related areas with respect to total logistics costs is addressed. Nevertheless, problems arising from the effect of vehicle selection on Economic Order Quantity (EOQ), while fully taking into account transport costs, fails to be mentioned. This paper presents a decision-making model for transport selection taking into consideration total logistics costs and a newly obtained formula for the economic order quantity which separates transport costs into fixed costs, variable costs dependent on the driving distance and operation time, as well as other variable costs. Analyses pertaining to the impact of cargo value and volumetric weight on vehicle selection and on Economic Order Quantity are also conducted.
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24

Ghafour, Karzan Mahdi. "The Role of Items Quantity Constraint to Control the Optimal Economic Order Quantity." Modern Applied Science 11, no. 9 (August 21, 2017): 61. http://dx.doi.org/10.5539/mas.v11n9p61.

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The obligation or the traditional question in inventory models is how much or how many of inventory items to order. In inventory control, the economic order quantity, EOQ is varies from model to another based on the variables and assumptions. This paper develops the EOQ using two deterministic inventory models (Purchases model and production model with shortage) of multi-items when the objective function is subjected to a constrained number of items quantities. The constraints are supposed to be active if the left-hand side does not satisfy the right-hand side condition. Thus, to achieve the new formula of multi-item EOQ in each of the two models with the constraint, Lagrange method have been used. Finally, to provide the proposed model a numerical example has been used.
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25

Chiu, Singa Wang, Yuanshyi Peter Chiu, and Huang-Chieh Chao. "Materials procurement decision-making based on the economic order quantity model and the economic production quantity model." Journal of Statistics and Management Systems 7, no. 2 (January 2004): 403–15. http://dx.doi.org/10.1080/09720510.2004.10701128.

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26

Rifqi, M., Marcy L. Pattiapon, and Billy J. Camerling. "ANALISIS PENGENDALIAN PERSEDIAAN DAN PENGOPTIMALAN PRODUKSI DENGAN METODE ECONOMIC ORDER QUANTITY(EOQ) DAN ECONOMIC PRODUCTION QUANTITY(EPQ)." i tabaos 2, no. 2 (June 30, 2022): 122–27. http://dx.doi.org/10.30598/i-tabaos.2022.2.2.122-127.

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Perusahaan Roti kering kenari cap tiga daun merupakan salah satu perusahaan kecil di desa Mamala. Perusahaan manufaktur harus teliti dalam setiap proses produksi agar dapat menghasilkan produk yang berkualitas dan memperoleh keuntungan. Tujuan dari penelitian ini untuk mengoptimalkan persediaan bahan baku dan produksi roti kering kenari. Metode yang digunakan pada penelitian ini adalah metode Economic Order Quantity (EOQ) dan Economic Production Quantity (EPQ). Pada penelitian awal , peneliti mendapati persediaan bahan baku pada tahun 2019, 2020, dan 2021 masih cukup besar. Peneliti juga mendapati pada tahun 2019 kelebihan produksi sebesar (10,55%) dari total produksi, pada tahun 2020 sebesar (11%) dari total produksi, pada tahun 2021 sebesar (10,10%) dari total produksi. Persediaan bahan baku optimal tiap kali pesan pada tahun 2019 kenari sebesar 702,61 kg, terigu sebesar 1.719,61 kg, margarin sebesar 195,92 kg, gula sebesar 333,72 kg, dan ragi sebesar 104,72. Pada tahun 2020 kenari sebesar 758,36 kg, terigu sebesar 1.777,13 kg, margarin sebesar 191,98 kg, gula sebesar 320,51 kg, dan ragi sebesar 94,98 kg. Pada tahun 2021 kenari sebesar 649,72 kg, terigu sebesar 1.742,63 kg, margarin sebesar 180,95 kg, gula sebesar 303,97 kg, dan ragi sebesar 92,12. Produksi optimal pada tahun 2019 sebesar 112,85 kg, tahun 2020 sebesar 108,77 kg, tahun 2021 sebesar 111,11 kg.
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27

Tu, Yu-Cheng, Kuang-Hua Hsu, and Yung-Fu Huang. "Retailer`s Economic Order Quantity Model under Trade Credit Period Depending on the Order Quantity Without Calculus." Journal of Applied Sciences 8, no. 15 (July 15, 2008): 2785–87. http://dx.doi.org/10.3923/jas.2008.2785.2787.

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28

Chen, Sheng-Chih, Leopoldo Eduardo Cárdenas-Barrón, and Jinn-Tsair Teng. "Retailer’s economic order quantity when the supplier offers conditionally permissible delay in payments link to order quantity." International Journal of Production Economics 155 (September 2014): 284–91. http://dx.doi.org/10.1016/j.ijpe.2013.05.032.

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29

ZIARATI, Martin, Osman Nuri UÇAN, and Reza ZIARATI. "Optimisation of Economic Order Quantity Using Neural Networks Approach." Doğuş Üniversitesi Dergisi 1, no. 2 (January 27, 2001): 120–28. http://dx.doi.org/10.31671/dogus.2019.376.

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30

Ahmad, Hudzaifah, and Dohar Pardomuan Marbun. "Analisis Optimalisasi Persediaan dengan Menggunakan Metode Economic Order Quantity." WIDYAKALA JOURNAL 2, no. 1 (June 14, 2015): 37. http://dx.doi.org/10.36262/widyakala.v2i1.9.

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Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar pengaruh optimalisasi pemesanan persediaan yang dilakukan oleh metode EOQ terhadap perusahaan Alifastore. Metode penelitian dilakukan dengan menggunakan data sekunder selama 3 tahun dari tahun 2012 sampai tahun 2014.Hasil dari penelitian menunjukkan selisih perhitungan metode economic order quantity (EOQ) dengan rata-rata penjualan perminggu sebanyak 76 unit. Sedangkan selisih perhitungan pembelian aktual perminggu dengan rata-rata penjualan perminggu sebanyak 481 unit. Total rata-rata pembelian menggunakan metode EOQ memiliki eror lebih kecil dibandingkan dengan rata-rata pembelian yang dilakukan oleh perusahaan, maka ada efisiensi biaya pembelian persediaan bila menggunakan metode economic order quantity (EOQ).Kata Kunci: EOQ, Persediaan, Optimalisasi
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31

Kalaiarasi, K., M. Sumathi, and S. Daisy. "FUZZY ECONOMIC ORDER QUANTITY INVENTORY MODEL, USING LAGRANGIAN METHOD." Advances in Mathematics: Scientific Journal 9, no. 4 (July 3, 2020): 1615–22. http://dx.doi.org/10.37418/amsj.9.4.17.

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32

Iqbal, Taufiq, Daniel Aprizal, and Muhammad Wali. "Aplikasi Manajemen Persediaan Barang Berbasis Economic Order Quantity (EOQ)." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 1, no. 1 (July 1, 2017): 48. http://dx.doi.org/10.35870/jtik.v1i1.33.

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a b s t r a c tInventory management is an activity undertaken by a company that is needed in making decisions so that the need for materials or goods for the purposes of the company's activities both production and sales can be met optimally with the least risk possible. Over-inventory is wasteful because it causes too high loads for storage and maintenance during storage at the warehouse. This research tries to build an inventory application by applying EOQ (Economic Order Quantity) method as the base of development. This research method is divided into three stages, namely data collection pre-development, development and implementation, and data collection post-development. The result of this research is inventory application with EOQ Probabilistic method with emphasizing result with graph form to facilitate company owner in making decision. Inventory management system built using HTML, CSS, Jquery, Java Script, JSON, AJAX, Boostrap as a media in interface design. While PHP as the server side and MySQL as the database.Keywords:Application, Inventory Management, Economic Order Quantity (EOQ) a b s t r a kManajemen persediaan barang merupakan kegiatan yang dilakukan oleh suatu perusahaan yang diperlukan dalam membuat keputusan sehingga kebutuhan akan bahan ataupun barang untuk keperluan kegiatan perusahaan baik produksi maupun penjualan dapat terpenuhi secara optimal dengan resiko yang sekecil mungkin. Persediaan yang terlalu besar (over stock) merupakan pemborosan karena menyebabkan terlalu tingginya beban-beban biaya guna penyimpanan dan pemeliharaan selama penyimpanan di gudang. Penelitian ini mencoba membangun sebuah aplikasi persediaan dengan menerapkan metode EOQ (Economic Order Quantity) sebagai dasar pengembangan. Metode penelitian ini dibagi dalam tiga tahapan, yaitu pengumpulan data pra pengembangan, pengembangan serta implementasi, dan pengumpulan data pasca pengembangan. Hasil dari penelitian ini merupakan aplikasi persediaan dengan metode EOQ Probabilistik yang dengan menitikberatkan hasil dengan bentuk grafik untuk mempermudah pemilik perusahaan dalam mengambil keputusan. Sistem manajemen persediaan yang dibangun dengan mengunakan bahasa pemrograman HTML, CSS, Jquery, Java Script, JSON, AJAX, Boostrap sebagai media dalam perancangan antar muka. Sedangkan PHP sebagai server side dan MySQL sebagai database.Kata Kunci:Aplikasi, Manajemen Persediaan Barang, Berbasis Economic Order Quantity (EOQ)
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33

Erlenkotter, Donald. "Ford Whitman Harris and the Economic Order Quantity Model." Operations Research 38, no. 6 (December 1990): 937–46. http://dx.doi.org/10.1287/opre.38.6.937.

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34

Sana, Shib Sankar. "An Economic Order Quantity Model for Nonconforming Quality Products." Service Science 4, no. 4 (December 2012): 331–48. http://dx.doi.org/10.1287/serv.1120.0027.

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35

Mokhtari, Hadi. "Economic order quantity for joint complementary and substitutable items." Mathematics and Computers in Simulation 154 (December 2018): 34–47. http://dx.doi.org/10.1016/j.matcom.2018.06.004.

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36

Ouyang, Liang-Yuh, Chin-Chuan Wu, and Kai-Wayne Chuang. "Economic order quantity with partial backorders under supplier credit." Journal of Information and Optimization Sciences 24, no. 2 (May 2003): 255–67. http://dx.doi.org/10.1080/02522667.2003.10699566.

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37

Lin, Tien-Yu, and Kuo-Lung Hou. "An imperfect quality economic order quantity with advanced receiving." TOP 23, no. 2 (December 12, 2014): 535–51. http://dx.doi.org/10.1007/s11750-014-0352-x.

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38

Jaber, M. Y., R. Y. Nuwayhid, and M. A. Rosen. "A thermodynamic approach to modelling the economic order quantity." Applied Mathematical Modelling 30, no. 9 (September 2006): 867–83. http://dx.doi.org/10.1016/j.apm.2005.07.001.

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39

Huang, Yung-Fu. "Economic order quantity under conditionally permissible delay in payments." European Journal of Operational Research 176, no. 2 (January 2007): 911–24. http://dx.doi.org/10.1016/j.ejor.2005.08.017.

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40

Sanni, S., Z. Jovanoski, and H. S. Sidhu. "An economic order quantity model with reverse logistics program." Operations Research Perspectives 7 (2020): 100133. http://dx.doi.org/10.1016/j.orp.2019.100133.

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41

Bhagoria, Mukesh. "Economic order quantity for multiple items in resource constraints." Indian Journal of Science and Technology 3, no. 6 (June 20, 2010): 707–9. http://dx.doi.org/10.17485/ijst/2010/v3i6.21.

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42

Bhadrachalam, Lakshmi, Suresh Chalasani, and Rajendra V. Boppana. "Impact of RFID technology on economic order quantity models." International Journal of Productivity and Quality Management 7, no. 3 (2011): 325. http://dx.doi.org/10.1504/ijpqm.2011.039351.

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43

Taleizadeh, Ata Allah, and Negin Zamani Dehkordi. "Economic order quantity with partial backordering and sampling inspection." Journal of Industrial Engineering International 13, no. 3 (February 16, 2017): 331–45. http://dx.doi.org/10.1007/s40092-017-0188-8.

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44

Maddah, Bacel, and Mohamad Y. Jaber. "Economic order quantity for items with imperfect quality: Revisited." International Journal of Production Economics 112, no. 2 (April 2008): 808–15. http://dx.doi.org/10.1016/j.ijpe.2007.07.003.

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45

Uthayakumar, Ramasamy, and M. Rameswari. "Economic order quantity for deteriorating items with time discounting." International Journal of Advanced Manufacturing Technology 58, no. 5-8 (June 28, 2011): 817–40. http://dx.doi.org/10.1007/s00170-011-3422-3.

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46

王, 巾枚. "Study on Economic Order Quantity under Carbon Emission Discount." Sustainable Development 13, no. 01 (2023): 6–15. http://dx.doi.org/10.12677/sd.2023.131002.

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47

Chang, Hung-Chi. "A comprehensive note on: An economic order quantity with imperfect quality and quantity discounts." Applied Mathematical Modelling 35, no. 10 (October 2011): 5208–16. http://dx.doi.org/10.1016/j.apm.2011.03.039.

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48

Ouyang, Liang-Yuh, Jinn-Tsair Teng, Suresh Kumar Goyal, and Chih-Te Yang. "An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity." European Journal of Operational Research 194, no. 2 (April 2009): 418–31. http://dx.doi.org/10.1016/j.ejor.2007.12.018.

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49

Santoso, Adi. "Analisis Perbandingan Metode Just In Time dan Economic Order Quantity." Jurnal Teknik Industri 10, no. 1 (February 22, 2010): 7. http://dx.doi.org/10.22219/jtiumm.vol10.no1.7-12.

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UD Surabaya Rattan Industry as the middle scale of company is produced rattan chairs. This company is based on the job order to plan and develop the future company to its business strategy become mass production. In process production, the company always faces problems in the row material supply. If the row material supply is saved in long time period and there is bulking in storage it can make the rattans will be under level quality. The purpose of this research is giving information about the choosing methods of planning, controlling the row material supply with differ between Just in Time (JIT) method with Economic Order Quantity (EOQ) to minimize inventory value. The result of from chosen method for the planning of inventory control of raw material. Total Inventory Cost (TIC) which in it there are three element of it expense of that is expense of purchasing, expense of ordering, and also stock holding cost got TIC for the Method of Just in Time (JIT) period 13 to Rp233.129.629,71. While for the Method of Economic Order of Quantity (EOQ) at period 13 to Rp234,171,969.21. Calculation of Total Inventory Cost (TIC) as a whole ( period of time 1 year) by applying Method of Just In Time ( JIT) it can be seen Totalize Inventory Cost (TIC) Rp5,012,483,943.59 while by applying Economic Order of Quantity (EOQ) from Total of Inventory Cost (TIC) Rp518,088,399.86. Becoming method planning of inventory control the selected method of Just In Time (JIT) with thrift equal to Rp5,604,456.27.
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50

Ashton, R. K. "Trade Credit and the Economic Order Quantity-a Further Extension." Journal of the Operational Research Society 38, no. 9 (September 1987): 841. http://dx.doi.org/10.2307/2582325.

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