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Nutrition Installation of Hospital is a unit that manages nutrition services effectively and efficiently <br /> <br /> with optimal quality, including procurement, management, and distribution of food, nutrition therapy <br /> <br /> and nutritional counseling, as well as edu...
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id-itb.:178972015-03-11T09:51:12Z#TITLE_ALTERNATIVE# ZIVANA (NIM : 29109336) ; Pembimbing Dr. Mursyid Hasan Basri, S.T., M.Tvv, ALINE Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/17897 Nutrition Installation of Hospital is a unit that manages nutrition services effectively and efficiently <br /> <br /> with optimal quality, including procurement, management, and distribution of food, nutrition therapy <br /> <br /> and nutritional counseling, as well as education and training (Health Ministry of Republic Indonesia). <br /> <br /> In providing food services for hospital customers, Nutrition Installation experiencing an overstock and <br /> <br /> stock out problems in main items of dry-food supply at logistic warehouses as Nutrition Installation’s <br /> <br /> main warehouses; such as white rice, instant noodle, granulated sugar, and cooking oil. <br /> <br /> This final project will discuss the improvement of inventory management system in main items of <br /> <br /> dry-food supply at Nutrition Installation’s logistic warehouses. Until now, inventory planning of dryfood <br /> <br /> supply based solely on experience and do not have basic calculations. This has become one of <br /> <br /> the causes of overstock and stock out condition in dry-food supply. <br /> <br /> Inventory management system that used in this final project is “fixed-order quantity with safety stock <br /> <br /> model” using forecasted demand. Forecasted demand is obtained from the forecasting demand <br /> <br /> analysis by using several methods; and from these several forecasting methods, exponential <br /> <br /> smoothing method is the best forecasting method that has minimum value of error compared to the <br /> <br /> other methods. Therefore, this forecasted demand is a good projected demand which will be used in <br /> <br /> inventory analysis of each main items of dry-food supply. <br /> <br /> The result of the research in this final project is a saving from inventory cost about Rp951,603,622.92 <br /> <br /> for white rice and Rp302,535,389.88 for instant noodle, which is 46.35 percent potential saving from <br /> <br /> total inventory cost of dry-food supply in one year period. <br /> <br /> In order to implement the recommendation of inventory management system for main items of dryfood <br /> <br /> supply in Nutrition Installation, there are several steps that involve the related division in <br /> <br /> Nutrition Installation. First, the forecasting training will be conducted by using calculation technique <br /> <br /> and computerized calculation with Microsoft Word program. The next step is testing the inventory <br /> <br /> v <br /> <br /> management system using “fixed-order quantity with safety stock model” for 3 months as probation <br /> <br /> phase and evaluation system will be conducted continuously from the beginning of test phase. text |
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Nutrition Installation of Hospital is a unit that manages nutrition services effectively and efficiently <br />
<br />
with optimal quality, including procurement, management, and distribution of food, nutrition therapy <br />
<br />
and nutritional counseling, as well as education and training (Health Ministry of Republic Indonesia). <br />
<br />
In providing food services for hospital customers, Nutrition Installation experiencing an overstock and <br />
<br />
stock out problems in main items of dry-food supply at logistic warehouses as Nutrition Installation’s <br />
<br />
main warehouses; such as white rice, instant noodle, granulated sugar, and cooking oil. <br />
<br />
This final project will discuss the improvement of inventory management system in main items of <br />
<br />
dry-food supply at Nutrition Installation’s logistic warehouses. Until now, inventory planning of dryfood <br />
<br />
supply based solely on experience and do not have basic calculations. This has become one of <br />
<br />
the causes of overstock and stock out condition in dry-food supply. <br />
<br />
Inventory management system that used in this final project is “fixed-order quantity with safety stock <br />
<br />
model” using forecasted demand. Forecasted demand is obtained from the forecasting demand <br />
<br />
analysis by using several methods; and from these several forecasting methods, exponential <br />
<br />
smoothing method is the best forecasting method that has minimum value of error compared to the <br />
<br />
other methods. Therefore, this forecasted demand is a good projected demand which will be used in <br />
<br />
inventory analysis of each main items of dry-food supply. <br />
<br />
The result of the research in this final project is a saving from inventory cost about Rp951,603,622.92 <br />
<br />
for white rice and Rp302,535,389.88 for instant noodle, which is 46.35 percent potential saving from <br />
<br />
total inventory cost of dry-food supply in one year period. <br />
<br />
In order to implement the recommendation of inventory management system for main items of dryfood <br />
<br />
supply in Nutrition Installation, there are several steps that involve the related division in <br />
<br />
Nutrition Installation. First, the forecasting training will be conducted by using calculation technique <br />
<br />
and computerized calculation with Microsoft Word program. The next step is testing the inventory <br />
<br />
v <br />
<br />
management system using “fixed-order quantity with safety stock model” for 3 months as probation <br />
<br />
phase and evaluation system will be conducted continuously from the beginning of test phase. |
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Theses |
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ZIVANA (NIM : 29109336) ; Pembimbing Dr. Mursyid Hasan Basri, S.T., M.Tvv, ALINE |
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ZIVANA (NIM : 29109336) ; Pembimbing Dr. Mursyid Hasan Basri, S.T., M.Tvv, ALINE #TITLE_ALTERNATIVE# |
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ZIVANA (NIM : 29109336) ; Pembimbing Dr. Mursyid Hasan Basri, S.T., M.Tvv, ALINE |
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ZIVANA (NIM : 29109336) ; Pembimbing Dr. Mursyid Hasan Basri, S.T., M.Tvv, ALINE |
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https://digilib.itb.ac.id/gdl/view/17897 |
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