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
- Lewis Ntaimo (ORCID: https://orcid.org/0000-0002-9114-5170)
- Youssef Hebaish (ORCID: https://orcid.org/0000-0003-3209-2790)
- Hrayer Aprahamian (ORCID: https://orcid.org/0000-0002-8750-2366)
- Sohom Chatterjee (ORCID: https://orcid.org/0000-0002-5784-9262)
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