An integrated approach to demand and capacity planning in outpatient clinics

Izady, Navid

doi:10.1016/j.ejor.2019.06.001

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…Most of the above online scheduling literature focuses on intraday scheduling. In interday appointment scheduling, there exists a concept analogous to nonsequential scheduling known as the “leaving holes” strategy (Patrick et al., 2008; Sauré and Puterman, 2014; Izady, 2019). This strategy involves reserving some capacity to accommodate potential same-day demand while allocating daily capacity for advance booking demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Nonsequential Appointment Scheduling With a Random Number of Requests

Zhu,

Liu,

2024

Production and Operations Management

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This article studies an appointment scheduling problem where a service provider dynamically receives appointment requests from a random number of customers. By leveraging the randomness of the number of potential customers, we develop a nonsequential appointment scheduling policy as an alternative to the conventional first-come-first-served (FCFS) policy. This allows for more flexibility in managing appointment scheduling. To calculate the optimal policy, we develop a branch-and-bound algorithm in which the lower bound is estimated using multiple approaches, such as optimality conditions, dynamic programming for calculating FCFS policy, and the shortest path reformulation. Through numerical studies, we observe that nonsequential appointment scheduling is particularly advantageous in systems characterized by highly fluctuating customer numbers or low congestion. In such cases, leaving gaps between appointments for potential future arrivals proves to be a more appropriate strategy. We also evaluate the performance of heuristics proposed in prior literature and provide insights into situations where these heuristics can be effectively applied.

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Section: Literature Reviewmentioning

confidence: 99%

Nonsequential Appointment Scheduling With a Random Number of Requests

Zhu,

Liu,

2024

Production and Operations Management

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“…Izady et al proposed a compact planning scheme for different reservation needs. They proposed a model of reserving free space for more reservation services, thereby reducing patients waiting time [ 12 ]. By adjusting the working hours to improve patient flow, overtime costs are minimized under the premise of ensuring the constraints of waiting and appointment access.…”

Section: Introductionmentioning

confidence: 99%

Research on outpatient capacity planning combining lean thinking and integer linear programming

Yang

et al. 2023

BMC Med Inform Decis Mak

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Background The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. Objective The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors’ work efficiency can be improved, patients’ waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services. Methods Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution. Results A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%. Conclusion In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors’ technical level and solve the problem of shortage of medical resources.

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“…Many services, including health care, transportation, and cloud computing, combine a first-come, first-served principle with advance reservations. Advance reservations assist a service provider because anticipating future demand improves resource management and service quality (see, for example, Shajin et al [1]; Izady [2]; Simhon & Starobinski [3]; Du & Larsen [4]; Charbonneau & Vokkarane [5]; Virtamo & Aalto [6]. Two models of advanced reservation by Luss [7] and Roberts et al [8] have been described in the literature.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Queueing Science Approach to Manage Secondary Queue Formation of Passenger Flow in Indian Railways: A Case of Overbooking on Vaishali Train

QASIM,

Farooquie

2023

Preprint

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Overbooking has been far and wide embraced to save any system from being idle. Rarely does the literature focuses on the unique queue formation nomenclatures as secondary queue due to overbooking. In this background, deciding the buffer capacity in the secondary queue is a major concern. The hypothetical design of a buffer often leads to wrong decision-making. In this paper, we take a real data-driven approach to explore the passenger flow through the lens of a queueing scientist. The means is to perform the statistical analysis using stationarity (Augmented Dickey-Fuller test), independence (Pearson's correlation) and distribution fitting for the data to validate the queueing system of Advanced Passenger Reservation. Further, what are the unique features of this queueing system in terms of its system primitives, key performance measures, and buffer capacity have been evaluated. What-if analysis has been explored for the different buffer capacities, and operational policy has been suggested for the passenger flow based on different scenarios. Our results show that Inter arrival and service time must be governed by a combination of N and F policies of queueing with suitable channels (servers) to quantify the overbooking.

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An integrated approach to demand and capacity planning in outpatient clinics

Cited by 10 publications

References 34 publications

Nonsequential Appointment Scheduling With a Random Number of Requests

Nonsequential Appointment Scheduling With a Random Number of Requests

Research on outpatient capacity planning combining lean thinking and integer linear programming

Data-Driven Queueing Science Approach to Manage Secondary Queue Formation of Passenger Flow in Indian Railways: A Case of Overbooking on Vaishali Train

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