Discrete-Event Simulation (DES) and Banker, Chames and Cooper Data Envelopment Analysis (BCC-DEA) Models in Improving the Allocation Officers in Outpatient Department

Abstract

This study aims to propose an improvement model for the queuing system and determine the best and most appropriate allocation suggestion for officers at the outpatient department of a public clinic in Johor. In this study, Arena Simulation Software and Lingo Software were used. Discrete-Event Simulation (DES) and Banker, Chames, and Cooper Data Envelopment Analysis (BCC-DEA) models were used to determine the best improvement model across various alternatives. The Min-Max of officers was suggested as an improvement model. The mathematical formulation has been programmed and tested in the Lingo 19.0 software, and Decision-Making Units (DMU) would be suggested. After that, each DMUs were run in Arena Simulation Software. Then, the input and output of each DMUs were determined. The researcher used BCC Model Input-Oriented to reduce the input required to produce the optimal output. The mathematical formulation has been programmed again and tested in the Lingo 19.0 software. Based on the results, DMU is considered an efficient choice if the value θ_0 is one (θ_0= 1). DMU is considered an inefficient alternative if the value θ_0 is not one (θ_0 ≠ 1). The input-oriented BCC model needs to identify the most effective and efficient DMU because they have multiple DMUs that are rated as efficient. So, the Super Efficiency model was used to identify the most efficient and suitable DMU. The mathematical formulation has been programmed again and tested in the Lingo 19.0 software to identify the Super Efficiency model