Code and Data Repository for An Optimization-Based Scheduling Methodology for Appointment Systems with Heterogeneous Customers and Nonstationary Arrival Processes

The data folder includes the arrival rate data for first-time and crisis customers and the optimal schedule proportions for both service types for all the cases in Table 1 and Figure 9 of the paper. It also contains the schedule proportions obtained using the DPS policy, as shown in Figure 10 of the paper. Refer to the README.md file in that folder for more details on the data.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-01-10
DOI
https://doi.org/10.1287/ijoc.2023.0039.cd
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for An Optimization-Based Scheduling Methodology for Appointment Systems with Heterogeneous Customers and Nonstationary Arrival Processes

Lewis Ntaimo, Youssef Hebaish, Hrayer Aprahamian, Sohom Chatterjee
INFORMS journal on computing
Advanced Queuing Theory Analysis
article

Code and Data Repository for An Optimization-Based Scheduling Methodology for Appointment Systems with Heterogeneous Customers and Nonstationary Arrival Processes

Lewis Ntaimo, Youssef Hebaish, Hrayer Aprahamian, Sohom Chatterjee
article en

Abstract

The data folder includes the arrival rate data for first-time and crisis customers and the optimal schedule proportions for both service types for all the cases in Table 1 and Figure 9 of the paper. It also contains the schedule proportions obtained using the DPS policy, as shown in Figure 10 of the paper. Refer to the README.md file in that folder for more details on the data.

INFORMS journal on computing
Openalex Percentile: Top 99%
Advanced Queuing Theory Analysis
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