Document Type

Closed Project

Publication Date

Fall 2017

Instructor

Timothy Anderson

Course Title

Operations Research in Engineering and Technology Management

Course Number

ETM 540/640

Subjects

Operations research, Production management -- Quality control, Risk management, Hierarchical Decision Model, Electronic instruments -- Maintenance and repair -- Analysis

Abstract

Currently, the majority of electronic instruments are assembled from interchangeable parts, called Field Replaceable Units or FRU. These FRU parts facilitate maintenance operations and help raise productivity.

This project uses a database of FRUs and Non-FRUs to make recommendations about which parts are high risk and should have software widgets created for the parts. Another goal is to identify which of the Non-FRUs are high risk, and should be changed in the company’s inventory to become a FRU. The final goal is to identify anomalies in the data which should be investigated by the FRU lead.

This project is sponsored by the FRU lead for the division. There are multiple goals of this project. The first, and most important objective of this project is to find the top FRU and Non-FRU parts with highest risk to the company. The risk is likely to be a financial concern due to a combination of high part cost, frequent failures, and high labor cost. It could also be because a part fails frequently at tier 1 customer sites, which need their tools available to run the business. Another objective is to determine high-risk Non-FRUs which should be recommended to be included as FRUs. The benefit of a part becoming a FRU is that documentation would be created on how to replace the part. There would be mandatory stocking procedures and processes in the Service Logistics and Service Management departments. The downside to the company is too many FRUs in stock can increase the cost of inventory. The cost would not be funded by support calls in the immediate future. There is also overhead to putting the FRU processes in place. The final goal is to identify anomalies in the particular part data which should be investigated by the FRU lead.

Rights

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Comments

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/23250

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