Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/252
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dc.contributor.authorTambunan, Gading Muda-
dc.date.accessioned2017-07-19T03:13:49Z-
dc.date.available2017-07-19T03:13:49Z-
dc.date.issued2016-02-02-
dc.identifier.urihttps://repositori.uma.ac.id/123456789/252-
dc.description.abstractCV. Fawas Jaya as one of the manufacturers of breads realized that planning needs to be used during the production capacity that is still not optimal. One technique that has always been and is widely used by companies is by using forecasting techniques. The datas required in the processing of this data are: historical data sales of the last 2 years, data on the number of production over the last 2 years and other supporting data for data processing. The stages are carried out in data processing are: foresee great demand for the coming year, the production plan will need production capacity for 1 year ahead with the method of transportation. The results of forecasting the demand for nut bread for year ahead obtaining the smallest number was in July that was only 68622 packets with a budget of Rp. 205.866.000,-. Meanwhile, the highest demand was in January in the amount of 84300 packs with a budget of Rp. 252.900.000,-. The results of forecasting the demand for coconut bread for 1 year ahead obtained the smallest number was in January that only 66829 packs with budget Rp. 200.487.000,-. The highest demand was in October in the amount of 68448 packs with a budget of Rp. 205.344.000,en_US
dc.language.isootheren_US
dc.subjectDemanden_US
dc.subjectProduction Planning Controlen_US
dc.subjectProduction Managementen_US
dc.titlePerencanaan Produksi Berdasarkan Peramalan Permintaan Produk Pada Pabrik Roti Cv. Fawas Jaya Medanen_US
dc.typeThesisen_US
Appears in Collections:SP - Industrial Engineering

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118150012_file1.pdfCover279.4 kBAdobe PDFView/Open
118150012_file2.pdfAbstract223.54 kBAdobe PDFView/Open
118150012_file3.pdfIntroduction236.8 kBAdobe PDFView/Open
118150012_file4.pdfChapter I230.21 kBAdobe PDFView/Open
118150012_file5.pdfChapter II391.32 kBAdobe PDFView/Open
118150012_file6.pdfChapter III218.72 kBAdobe PDFView/Open
118150012_file8.pdfEnclousure226.95 kBAdobe PDFView/Open


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