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DETERMINING OPTIMAL ORDERING POLICY FOR THE NAVAL OPHTHALMIC SUPPORT AND TRAINING ACTIVITY (NOSTRA)

Authors: Gavan, Ramon G., Jr.; Fowler, Jonathan J.;

DETERMINING OPTIMAL ORDERING POLICY FOR THE NAVAL OPHTHALMIC SUPPORT AND TRAINING ACTIVITY (NOSTRA)

Abstract

MBA Professional Project This project analyzes the current inventory management practices for the Naval Ophthalmic Support and Training Activity (NOSTRA) to assess if there are industry best practices that NOSTRA could utilize to become more efficient. NOSTRA’s mission is to manufacture and supply eyewear to the entire Department of Defense. The two largest inventory line items that NOSTRA carries are lenses and spectacle frames; this project specifically studies the process for managing spectacle frame inventory. An analysis of NOSTRA’s current inventory management process revealed that NOSTRA utilizes a par level periodic review system. The findings of this report indicate that NOSTRA could potentially achieve efficiencies by categorizing its inventory and utilizing a 2-bin Kanban system to manage when inventory is needed and how much inventory is needed. Lieutenant, United States Navy Lieutenant Commander, United States Navy http://archive.org/details/determiningoptim1094562252

Keywords

2-bin Kanban, inventory management, economic order quantity, two-bin Kanban, EOQ, service level

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green