Larson, Kelly and Bowley, Jacob and Luangkesorn, Louis
(2020)
Applying process analysis and inventory modeling to improve the operating room supply system at a suburban acute care medical center.
Working Paper.
N/A, N/A.
(Unpublished)
Abstract
Background: The supply rooms serving an operating room suite of a suburban hospital provides equipment and supplies for each day’s procedures. The number and diversity of procedures and the different practices of individual surgeons led to a large number of different items that need to be stored in a limited space. This limited space is further stressed due to the presence of items that have not been in use for long periods of time.
Materials and Methods: Process engineering and inventory management models from industrial engineering were applied to identify and organize operating room dedicated inventory items and create an inventory management policy to improve the availability of operating room supplies and reduce workload on the supply staff. Inventory simulation models were used to establish that the revised material handling and inventory policies will lead to improved availability of required items in the surgical suite.
Results: The proposed inventory management policy was tested through simulation to demonstrate a decrease in the inventory shortfalls in the OR supply room and the amount of work needed to obtain and return supplies.
Conclusion: This project was intended to improve the supply operations for the hospital OR suite.
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Details
Item Type: |
Monograph
(Working Paper)
|
Status: |
Unpublished |
Creators/Authors: |
|
Monograph Type: |
Working Paper |
Date: |
18 May 2020 |
Publisher: |
N/A |
Place of Publication: |
N/A |
Institution: |
University of Pittsburgh |
Department: |
Industrial Engineering |
Schools and Programs: |
Swanson School of Engineering > Industrial Engineering |
Refereed: |
No |
Uncontrolled Keywords: |
healthcare systems engineering, industrial engineering, inventory, operating rooms |
Date Deposited: |
19 Jun 2020 13:20 |
Last Modified: |
19 Jun 2020 13:20 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/39056 |
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