Appointment Scheduling with Limited Distributional Information
Citations
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Cited by:
- Minglong Zhou & Gar Goei Loke & Chaithanya Bandi & Zi Qiang Glen Liau & Wilson Wang, 2022. "Intraday Scheduling with Patient Re-entries and Variability in Behaviours," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 561-579, January.
- Yong Liang & Mengshi Lu & Zuo‐Jun Max Shen & Runyu Tang, 2021. "Data Center Network Design for Internet‐Related Services and Cloud Computing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2077-2101, July.
- Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
- Mahes, Roshan & Mandjes, Michel & Boon, Marko & Taylor, Peter, 2024. "Adaptive scheduling in service systems: A Dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 605-626.
- Christos Zacharias & Tallys Yunes, 2020. "Multimodularity in the Stochastic Appointment Scheduling Problem with Discrete Arrival Epochs," Management Science, INFORMS, vol. 66(2), pages 744-763, February.
- Ruiwei Jiang & Siqian Shen & Yiling Zhang, 2017. "Integer Programming Approaches for Appointment Scheduling with Random No-Shows and Service Durations," Operations Research, INFORMS, vol. 65(6), pages 1638-1656, December.
- Alex Kuiper & Robert H. Lee, 2022. "Appointment Scheduling for Multiple Servers," Management Science, INFORMS, vol. 68(10), pages 7422-7440, October.
- Zhengchao Wang & Heikki Peura & Wolfram Wiesemann, 2024. "Randomized Assortment Optimization," Operations Research, INFORMS, vol. 72(5), pages 2042-2060, September.
- Jun Cai & Jonathan Yu-Meng Li & Tiantian Mao, 2025. "Distributionally Robust Optimization Under Distorted Expectations," Operations Research, INFORMS, vol. 73(2), pages 969-985, March.
- Amir Ardestani-Jaafari & Erick Delage, 2016. "Robust Optimization of Sums of Piecewise Linear Functions with Application to Inventory Problems," Operations Research, INFORMS, vol. 64(2), pages 474-494, April.
- van Eekelen, Wouter, 2023. "Distributionally robust views on queues and related stochastic models," Other publications TiSEM 9b99fc05-9d68-48eb-ae8c-9, Tilburg University, School of Economics and Management.
- Wu, Xueqi & Zhou, Shenghai, 2022. "Sequencing and scheduling appointments on multiple servers with stochastic service durations and customer arrivals," Omega, Elsevier, vol. 106(C).
- Jin Qi, 2017. "Mitigating Delays and Unfairness in Appointment Systems," Management Science, INFORMS, vol. 63(2), pages 566-583, February.
- Carolin Bauerhenne & Rainer Kolisch & Andreas S. Schulz, 2024. "Robust Appointment Scheduling with Waiting Time Guarantees," Papers 2402.12561, arXiv.org, revised Jan 2026.
- Zhaowei Hao & Long He & Zhenyu Hu & Jun Jiang, 2025. "Robust Capacity Planning with General Upgrading," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1975-1994, November.
- Louis Chen & Will Ma & Karthik Natarajan & David Simchi-Levi & Zhenzhen Yan, 2022. "Distributionally Robust Linear and Discrete Optimization with Marginals," Operations Research, INFORMS, vol. 70(3), pages 1822-1834, May.
- Yuan Gao & Qian Zhang & Chun Kit Lau & Bhagwat Ram, 2022. "Robust Appointment Scheduling in Healthcare," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
- Behrooz Pourghannad & Guihua Wang, 2025. "Matching Patients with Surgeons: Heterogeneous Effects of Surgical Volume on Surgery Duration," Manufacturing & Service Operations Management, INFORMS, vol. 27(4), pages 1037-1052, July.
- Ariel Neufeld & Matthew Ng Cheng En & Ying Zhang, 2024. "Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems," Papers 2403.09532, arXiv.org, revised May 2026.
- Yu Wang & Yu Zhang & Minglong Zhou & Jiafu Tang, 2023. "Feature‐driven robust surgery scheduling," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1921-1938, June.
- van Eekelen, Wouter & den Hertog, Dick & van Leeuwaarden, J.S.H., 2025. "Distributionally robust appointment scheduling that can deal with independent service times," Other publications TiSEM e6ac8cc7-43c6-42c6-9e11-f, Tilburg University, School of Economics and Management.
- Kuiper, Alex & de Mast, Jeroen & Mandjes, Michel, 2021. "The problem of appointment scheduling in outpatient clinics: A multiple case study of clinical practice," Omega, Elsevier, vol. 98(C).
- Range, Troels Martin & Kozlowski, Dawid & Petersen, Niels Chr., 2019. "Dynamic job assignment: A column generation approach with an application to surgery allocation," European Journal of Operational Research, Elsevier, vol. 272(1), pages 78-93.
- Yu Fu & Amarnath Banerjee, 2021. "A Stochastic Programming Model for Service Scheduling with Uncertain Demand: an Application in Open-Access Clinic Scheduling," SN Operations Research Forum, Springer, vol. 2(3), pages 1-32, September.
- Tine Meersman & Broos Maenhout, 2025. "A decomposition-based approach for multi-level appointment planning and scheduling," Health Care Management Science, Springer, vol. 28(3), pages 478-504, September.
- Chun Cheng & Yossiri Adulyasak & Louis-Martin Rousseau, 2024. "Robust Drone Delivery with Weather Information," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1402-1421, July.
- Saif Benjaafar & David Chen & Rowan Wang & Zhenzhen Yan, 2023. "Appointment Scheduling Under a Service-Level Constraint," Manufacturing & Service Operations Management, INFORMS, vol. 25(1), pages 70-87, January.
- Ji, Menglei & Wang, Shanshan & Peng, Chun & Li, Jinlin, 2025. "Robust doctor–patient assignment with endogenous service duration uncertainty and no-show behavior," Omega, Elsevier, vol. 133(C).
- Qiuzhuang Sun & Piao Chen & Xin Wang & Zhi‐Sheng Ye, 2023. "Robust condition‐based production and maintenance planning for degradation management," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3951-3967, December.
- Madelon A. de Kemp & Michel Mandjes & Neil Olver, 2021. "Performance of the Smallest-Variance-First Rule in Appointment Sequencing," Operations Research, INFORMS, vol. 69(6), pages 1909-1935, November.
- Zhen Sun & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2017. "Not Just a Fad: Optimal Sequencing in Mobile In-App Advertising," Information Systems Research, INFORMS, vol. 28(3), pages 511-528, September.
- Zhang, Abraham & Zheng, Zhichao & Teo, Chung-Piaw, 2022. "Schedule reliability in liner shipping timetable design: A convex programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 499-525.
- Yan Deng & Siqian Shen & Brian Denton, 2019. "Chance-Constrained Surgery Planning Under Conditions of Limited and Ambiguous Data," INFORMS Journal on Computing, INFORMS, vol. 31(3), pages 559-575, July.
- Meersman, Tine & Maenhout, Broos & Fiems, Dieter, 2025. "Dynamic appointment rescheduling with patient preferences," European Journal of Operational Research, Elsevier, vol. 326(3), pages 498-514.
- Liu, Kanglin & Li, Qiaofeng & Zhang, Zhi-Hai, 2019. "Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 79-101.
- Weiwei Fan & L. Jeff Hong & Xiaowei Zhang, 2020. "Distributionally Robust Selection of the Best," Management Science, INFORMS, vol. 66(1), pages 190-208, January.
- Tsang, Man Yiu & Shehadeh, Karmel S., 2023. "Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times," European Journal of Operational Research, Elsevier, vol. 307(1), pages 48-63.
- Kong, Qingxia & Lee, Chung-Yee & Teo, Chung-Piaw & Zheng, Zhichao, 2016. "Appointment sequencing: Why the Smallest-Variance-First rule may not be optimal," European Journal of Operational Research, Elsevier, vol. 255(3), pages 809-821.
- You Hui Goh & Zihao Li & Zhenzhen Yan, 2025. "Strategic Idling in Appointment Systems with Sequential Servers," Manufacturing & Service Operations Management, INFORMS, vol. 27(3), pages 955-974, May.
- Lu, Haimin & Pei, Zhi, 2023. "Single machine scheduling with release dates: A distributionally robust approach," European Journal of Operational Research, Elsevier, vol. 308(1), pages 19-37.
- Shuming Wang & Jun Li & Marcus Ang & Tsan Sheng Ng, 2024. "Appointment Scheduling with Delay Tolerance Heterogeneity," INFORMS Journal on Computing, INFORMS, vol. 36(5), pages 1201-1224, September.
- Kuiper, Alex & Mandjes, Michel, 2015. "Appointment scheduling in tandem-type service systems," Omega, Elsevier, vol. 57(PB), pages 145-156.
- Zheng Zhang & Brian T. Denton & Xiaolan Xie, 2020. "Branch and Price for Chance-Constrained Bin Packing," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 547-564, July.
- Pardis Seyedi & Michael W. Carter & Kourosh Eshghi, 2025. "Central intake optimization and decentralized decomposition for appointment scheduling and sequencing," Flexible Services and Manufacturing Journal, Springer, vol. 37(1), pages 208-253, March.
- Oualid Jouini & Saif Benjaafar & Bingnan Lu & Siqiao Li & Benjamin Legros, 2022. "Appointment-driven queueing systems with non-punctual customers," Queueing Systems: Theory and Applications, Springer, vol. 101(1), pages 1-56, June.
- Avishai Mandelbaum & Petar Momčilović & Nikolaos Trichakis & Sarah Kadish & Ryan Leib & Craig A. Bunnell, 2020. "Data-Driven Appointment-Scheduling Under Uncertainty: The Case of an Infusion Unit in a Cancer Center," Management Science, INFORMS, vol. 66(1), pages 243-270, January.
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