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Staffing and scheduling under nonstationary demand for service: A literature review

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  1. Yang, Muer & Wang, Xinfang (Jocelyn) & Xu, Nuo, 2015. "A robust voting machine allocation model to reduce extreme waiting," Omega, Elsevier, vol. 57(PB), pages 230-237.
  2. Mustafa Y. Sir & David Nestler & Thomas Hellmich & Devashish Das & Michael J. Laughlin & Michon C. Dohlman & Kalyan Pasupathy, 2017. "Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic," Interfaces, INFORMS, vol. 47(5), pages 425-441, October.
  3. Smirnov, Dmitry & Huchzermeier, Arnd, 2020. "Analytics for labor planning in systems with load-dependent service times," European Journal of Operational Research, Elsevier, vol. 287(2), pages 668-681.
  4. Pei, Zhi & Dai, Xu & Yuan, Yilun & Du, Rui & Liu, Changchun, 2021. "Managing price and fleet size for courier service with shared drones," Omega, Elsevier, vol. 104(C).
  5. N. Llort & A. Lusa & C. Martínez-Costa & M. Mateo, 2019. "A decision support system and a mathematical model for strategic workforce planning in consultancies," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 497-523, June.
  6. Caballini, Claudia & Paolucci, Massimo, 2020. "A rostering approach to minimize health risks for workers: An application to a container terminal in the Italian port of Genoa," Omega, Elsevier, vol. 95(C).
  7. Ma, Xiaoyu & Deng, Tianhu & Xue, Mengying & Shen, Zuo-Jun Max & Lan, Boxiong, 2017. "Optimal dynamic pricing of mobile data plans in wireless communications," Omega, Elsevier, vol. 66(PA), pages 91-105.
  8. Pieter Smet & Annelies Lejon & Greet Vanden Berghe, 2021. "Demand smoothing in shift design," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 457-484, June.
  9. Notz, Pascal M. & Wolf, Peter K. & Pibernik, Richard, 2023. "Prescriptive analytics for a multi-shift staffing problem," European Journal of Operational Research, Elsevier, vol. 305(2), pages 887-901.
  10. Andreas Balster & Ole Hansen & Hanno Friedrich & André Ludwig, 2020. "An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(5), pages 403-416, October.
  11. Schoenfelder, Jan & Bretthauer, Kurt M. & Wright, P. Daniel & Coe, Edwin, 2020. "Nurse scheduling with quick-response methods: Improving hospital performance, nurse workload, and patient experience," European Journal of Operational Research, Elsevier, vol. 283(1), pages 390-403.
  12. Shone, Rob & Glazebrook, Kevin & Zografos, Konstantinos G., 2019. "Resource allocation in congested queueing systems with time-varying demand: An application to airport operations," European Journal of Operational Research, Elsevier, vol. 276(2), pages 566-581.
  13. He, Fang & Chaussalet, Thierry & Qu, Rong, 2019. "Controlling understaffing with conditional Value-at-Risk constraint for an integrated nurse scheduling problem under patient demand uncertainty," Operations Research Perspectives, Elsevier, vol. 6(C).
  14. Diego Goldsztajn & Sem C. Borst & Johan S. H. van Leeuwaarden & Debankur Mukherjee & Philip A. Whiting, 2022. "Self-Learning Threshold-Based Load Balancing," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 39-54, January.
  15. Schwarz, Justus Arne & Selinka, Gregor & Stolletz, Raik, 2016. "Performance analysis of time-dependent queueing systems: Survey and classification," Omega, Elsevier, vol. 63(C), pages 170-189.
  16. Raik Stolletz, 2022. "Optimization of time-dependent queueing systems," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 481-483, April.
  17. Erhard, Melanie & Schoenfelder, Jan & Fügener, Andreas & Brunner, Jens O., 2018. "State of the art in physician scheduling," European Journal of Operational Research, Elsevier, vol. 265(1), pages 1-18.
  18. Eugene Furman & Alex Cressman & Saeha Shin & Alexey Kuznetsov & Fahad Razak & Amol Verma & Adam Diamant, 2021. "Prediction of personal protective equipment use in hospitals during COVID-19," Health Care Management Science, Springer, vol. 24(2), pages 439-453, June.
  19. Alireza Pooya & Morteza Pakdaman, 2021. "A new continuous time optimal control model for manpower planning with promotion from inside the system," Operational Research, Springer, vol. 21(1), pages 349-364, March.
  20. Jiun-Yan Shiau & Ming-Kung Huang & Chu-Yi Huang, 2020. "A Hybrid Personnel Scheduling Model for Staff Rostering Problems," Mathematics, MDPI, vol. 8(10), pages 1-20, October.
  21. Farzad Zaerpour & Marco Bijvank & Huiyin Ouyang & Zhankun Sun, 2022. "Scheduling of Physicians with Time‐Varying Productivity Levels in Emergency Departments," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 645-667, February.
  22. Eugene Furman & Adam Diamant & Murat Kristal, 2021. "Customer Acquisition and Retention: A Fluid Approach for Staffing," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4236-4257, November.
  23. Niyirora, Jerome & Zhuang, Jun, 2017. "Fluid approximations and control of queues in emergency departments," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1110-1124.
  24. Wang, Haiyan & Olsen, Tava Lennon & Liu, Guiqing, 2018. "Service capacity competition with peak arrivals and delay sensitive customers," Omega, Elsevier, vol. 77(C), pages 80-95.
  25. Brandon M McConnell & Thom J Hodgson & Michael G Kay & Russell E King & Yunan Liu & Greg H Parlier & Kristin Thoney-Barletta & James R Wilson, 2021. "Assessing uncertainty and risk in an expeditionary military logistics network," The Journal of Defense Modeling and Simulation, , vol. 18(2), pages 135-156, April.
  26. Cho, David D. & Stauffer, Jon M., 2022. "Tele-medicine question response service: Analysis of benefits and costs," Omega, Elsevier, vol. 111(C).
  27. Restrepo, María I. & Rousseau, Louis-Martin & Vallée, Jonathan, 2020. "Home healthcare integrated staffing and scheduling," Omega, Elsevier, vol. 95(C).
  28. Alemayehu, Fikru K. & Kumbhakar, Subal C. & Landazuri Tveteraas, Sigbjørn, 2022. "Estimation of staff use efficiency: Evidence from the hospitality industry," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  29. Ward Whitt & Jingtong Zhao, 2017. "Many‐server loss models with non‐poisson time‐varying arrivals," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(3), pages 177-202, April.
  30. Andersen, Anders Reenberg & Nielsen, Bo Friis & Reinhardt, Line Blander & Stidsen, Thomas Riis, 2019. "Staff optimization for time-dependent acute patient flow," European Journal of Operational Research, Elsevier, vol. 272(1), pages 94-105.
  31. Oyku Ahipasaoglu & Nesim Erkip & Oya Ekin Karasan, 2019. "The venue management problem: setting staffing levels, shifts and shift schedules at concession stands," Journal of Scheduling, Springer, vol. 22(1), pages 69-83, February.
  32. Yin, Yunqiang & Cheng, Shuenn-Ren & Cheng, T.C.E. & Wang, Du-Juan & Wu, Chin-Chia, 2016. "Just-in-time scheduling with two competing agents on unrelated parallel machines," Omega, Elsevier, vol. 63(C), pages 41-47.
  33. Mattia, Sara & Rossi, Fabrizio & Servilio, Mara & Smriglio, Stefano, 2017. "Staffing and scheduling flexible call centers by two-stage robust optimization," Omega, Elsevier, vol. 72(C), pages 25-37.
  34. Wu, Zhiying & Xu, Guoning & Chen, Qingxin & Mao, Ning, 2023. "Two stochastic optimization methods for shift design with uncertain demand," Omega, Elsevier, vol. 115(C).
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