Mathematical Modeling to Evaluate Batch Operations for Compounded Sterile Products

25 Pages Posted: 7 May 2013

See all articles by Vera Tilson

Vera Tilson

University of Rochester - Simon Business School

Gregory Dobson

University of Rochester - Simon Business School

Curtis Haas

University of Rochester Medical Center

David Tilson

Simon Graduate School of Business, University of Rochester

Date Written: May 6, 2013

Abstract

Purpose: To demonstrate a simple mathematical model for evaluating operational decisions for preparing compounded sterile products in a hospital pharmacy.

Summary: This paper describes a simple mathematical model, based on a small set of parameters easily estimated from existing data. This model can help hospital pharmacy managers decide, for the batch preparation of compounded sterile products, 1) how frequently to schedule batch production, 2) when within the day to schedule those batches, and 3) how to evaluate the benefits of certain features of IT systems, with an objective of minimizing the total cost of labor hours and wasted medications.

Conclusion: Most decisions affecting changes in pharmacy operations are made empirically, and laborious data collection methods are needed both pre- and post-implementation to assess the impact of any change. Mathematical modeling by operations management professionals working collaboratively with pharmacy managers allows the objective prediction of the financial and operational impact of multiple potential options prior to implementing actual operational changes.

Keywords: Hospital operations, In-hospital pharmacy operations, compounded sterile products production scheduling, inventory modeling

JEL Classification: M10, M54, I19

Suggested Citation

Tilson, Vera and Dobson, Gregory and Haas, Curtis and Tilson, David, Mathematical Modeling to Evaluate Batch Operations for Compounded Sterile Products (May 6, 2013). Available at SSRN: https://ssrn.com/abstract=2261384 or http://dx.doi.org/10.2139/ssrn.2261384

Vera Tilson (Contact Author)

University of Rochester - Simon Business School ( email )

Rochester, NY 14627
United States

Gregory Dobson

University of Rochester - Simon Business School ( email )

Carol Simon Hall 3-310
Rochester, NY 14627
United States
585-275-2670 (Phone)
585-442-6652 (Fax)

Curtis Haas

University of Rochester Medical Center ( email )

Rochester, NY 14627
United States

David Tilson

Simon Graduate School of Business, University of Rochester ( email )

Rochester, NY 14627
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
48
Abstract Views
416
PlumX Metrics