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Inventory Analysis and Planning to Maximize Efficiency Using Eoq Theory - Case Study PT Kampung Kearifan Indonesia

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Efficient inventory management is a major challenge faced by many producers in the perishable food industry considering that they carry hundreds of product types, each unique to their own life cycle and demand pattern. a prominent issue explored in this research is inefficiencies caused by understock of finished goods, such as unmet customer demand. in collaboration with Javara, an agricultural food producer based in Jakarta, this study aims to design and propose a suitable inventory model that will reduce understock and improve earnings. ABC analysis is conducted to identify the most important inventory for the company as well as Inventory Master Planning methodologies, specifically forecasting and order quantity engineering. the EOQ is simulated on one of the Category a products, Natural Sea Salt, to determine appropriate order quantities and reorder point. Results show that Category a inventory contributed the highest loss due to unmet demand, therefore forecasting and order quantity methods can reduce unmet demand due to understock and balance tradeoffs between inventory ordering cost and carrying cost.

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Availability

B01630

(Rack Thesis)

Available

Detail Information

Series Title

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Call Number

1630

Publisher

: Swiss German University., 2014

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

IBA
Forecasting
Inventory master planning
ABC analysis
Economic order quantity

Specific Detail Info

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Statement of Responsibility

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