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Full-Text Articles in Business
Managing Clinic Variability With Same-Day Scheduling, Intervention For No-Shows, And Seasonal Capacity Adjustments, Kum Khiong Yang, Tugba Cayirli
Managing Clinic Variability With Same-Day Scheduling, Intervention For No-Shows, And Seasonal Capacity Adjustments, Kum Khiong Yang, Tugba Cayirli
Research Collection Lee Kong Chian School Of Business
This study investigates demand and capacity strategiesfor managing clinic variability. These include (i) same-day scheduling tocontrol random walk-ins, (ii) no-show intervention, where the clinic callsadvance-booked patients a day before to identify and release canceled slots tosame-day patients, and (iii) adjustments to daily number of appointments foradvance-booked patients to match seasonal variations in same-day demand. Thesestrategies are tested over the individual-block/fixed-interval (IBFI) and theDome appointment rules. The resulting appointment systems are tested underscenarios with different levels of same-day demand, demand seasonality,no-shows and cost ratios. The goal is to minimize the weighted sum of patients’wait time and physician’s idle-time and overtime. Our …
Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low
Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low
Research Collection Lee Kong Chian School Of Business
Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, combining computer simulation to generate the data and an advanced non-linear regression technique called the Alternating Conditional Expectation (ACE) to construct a set of easy-to-use equations to predict the performance of queues with a scheduled start and end time. Our results show that the equations can accurately predict the queue performance as a function of the number of servers, mean arrival load, session length and service time variability. …
Managing Emergency Department Crowding Through Improved Triaging And Resource Allocation, Kum Khiong Yang, Sean Shao Wei Lam, Joyce M. W. Low, Marcus Eng Hock Ong
Managing Emergency Department Crowding Through Improved Triaging And Resource Allocation, Kum Khiong Yang, Sean Shao Wei Lam, Joyce M. W. Low, Marcus Eng Hock Ong
Research Collection Lee Kong Chian School Of Business
Long waiting times in emergency departments (EDs) not only reduce patients’ perceived quality of care, but also increase crowding which can adversely affect patients’ outcomes. Waiting time has been found to affect patients’ outcomes and is closely associated with delays in the provision of ancillary services to ED patients by the diagnostic/treatment laboratories. The focus of this study is to improve the flow of ED patients by testing alternative triage processes and capacity of physicians, triage nurses and laboratories. Three alternative triage processes are examined for managing the flow of ED patients through shared and dedicated laboratories across different utilization …
A Universal Appointment Rule With Patient Classification For Service Times, No-Shows And Walk-Ins, Cayirli Tugba, Kum Khiong Yang
A Universal Appointment Rule With Patient Classification For Service Times, No-Shows And Walk-Ins, Cayirli Tugba, Kum Khiong Yang
Research Collection Lee Kong Chian School Of Business
This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative appointment systems are tested through simulation using a universal Dome rule and some of the best traditional appointment rules in the literature. Our findings show that the universal Dome rule performs better in terms of reducing the total cost of patient’s waiting time, doctor’s idle time, and overtime, and its performance improves further with the right sequencing of patient groups. Although it is a challenge to find the best sequence, we propose a …
Managing A Flow Line With Single-Kanban, Dual-Kanban Or Conwip, Kum Khiong Yang
Managing A Flow Line With Single-Kanban, Dual-Kanban Or Conwip, Kum Khiong Yang
Research Collection Lee Kong Chian School Of Business
To control the production of different parts on a single flow line, managers can choose between the Single-kanban, Dual-kanban, and Conwip. This paper therefore compares the three different systems. The results show that Conwip consistently produces the shortest mean customer wait time and lowest total work-in-process. Our results also contradict the finding of a previous study, which showed that Dual-kanban performed better than Single-kanban. The different findings can, however, be attributed to the use of a material transfer policy, which favors the Dual-kanban modeled in the previous study. Our study shows that transferring replenished containers immediately to downstream stations, increasing …