IMPROVING THE OPERATIONS PERFORMANCE OF A CHEMOTHERAPY CLINIC: A TWO-PHASE APPROACH

Authors

  • Abdullah A Alabdulkarim Majmaah University

DOI:

https://doi.org/10.7166/29-4-1941

Keywords:

Chemotherapy planning, System dynamics, Mixed-integer programming

Abstract

The increasing number of cancer patients, coupled with the development and use of new, efficient medications, has increased the demand for cancer service care. Outpatient chemotherapy clinics (OCCs) are complex facilities, due to the large variability in treatment durations resulting from different cancer types and chemotherapy protocols under limited resources. In this paper we address the operations planning problem encountered by OCCs, of optimally assigning the first days of treatment for a set of new patients in tandem with the presence of existing patients. We propose a two-phase approach to optimise the start days of a set of new patients. In the first stage, a system dynamics (SD) simulation model, adapted from the literature, is used to find the critical days for the new patients — i.e., the upper bounds by which patients must begin treatment. The optimal start days are then determined using a new mixed-integer programming (MIP) model. The results show that the optimal start days can be effectively prioritised and evaluated using simulation and mathematical programming

Author Biography

Abdullah A Alabdulkarim, Majmaah University

Assistant professor at Mechanical and Industrial Engineering. 

Dean, College of Engineering

Majmaah University

Saudi Arabia

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Published

2018-12-10

How to Cite

Alabdulkarim, A. A. (2018). IMPROVING THE OPERATIONS PERFORMANCE OF A CHEMOTHERAPY CLINIC: A TWO-PHASE APPROACH. The South African Journal of Industrial Engineering, 29(4), 45–52. https://doi.org/10.7166/29-4-1941

Issue

Vol. 29 No. 4 (2018)

Section

General Articles

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