A Case Study for Reducing Client Waiting Time in a Health Evaluation Center Using Design for Six Sigma

Wang, Hsueh-Ming Steve; Wang, Sheng-Pen; Lee, Wenyih

doi:10.1080/10429247.2014.11432011

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…This study found that if the distribution of customer arrival times could be effectively controlled and late arrivals could be avoided, waiting times could be effectively reduced and the total examination time shortened. These results were different from another study in a health screening center, reducing waiting time using the Design for Six Sigma method in Taiwan [32]. Therefore, future researchers are advised to use the research model to apply multiple improvement strategies and set up parameters for the model.…”

Section: Discussioncontrasting

confidence: 69%

Data analysis of ambient intelligence in a healthcare simulation system: a pilot study in high-end health screening process improvement

Chen

Tsai

et al. 2021

BMC Health Serv Res

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Background This study aimed to reduce the total waiting time for high-end health screening processes. Method The subjects of this study were recruited from a health screening center in a tertiary hospital in northern Taiwan from September 2016 to February 2017, where a total of 2342 high-end customers participated. Three policies were adopted for the simulation. Results The first policy presented a predetermined proportion of customer types, in which the total waiting time was increased from 72.29 to 83.04 mins. The second policy was based on increased bottleneck resources, which provided significant improvement, decreasing the total waiting time from 72.29 to 28.39 mins. However, this policy also dramatically increased the cost while lowering the utilization of this health screening center. The third policy was adjusting customer arrival times, which significantly reduced the waiting time—with the total waiting time reduced from 72.29 to 55.02 mins. Although the waiting time of this policy was slightly longer than that of the second policy, the additional cost was much lower. Conclusions Scheduled arrival intervals could help reduce customer waiting time in the health screening department based on the “first in, first out” rule. The simulation model of this study could be utilized, and the parameters could be modified to comply with different health screening centers to improve processes and service quality.

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Section: Discussioncontrasting

confidence: 69%

Data analysis of ambient intelligence in a healthcare simulation system: a pilot study in high-end health screening process improvement

Chen

Tsai

et al. 2021

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…This study found, if the distribution of customer arrival times can be effectively controlled and late arrivals can be avoided, wait times can be effectively reduced and the total examination time can be shortened. These results were different from another study in health screening center with the application of reducing waiting time by using the Design for Six Sigma method in Taiwan (Wang et al 2014). Therefore, subsequent researchers are advised to use the research model to apply multiple improvement strategies, as well as set up parameters for the model.…”

Section: Discussionmentioning

confidence: 58%

Data Analysis of Ambient Intelligence in a Healthcare Simulation System: A Pilot Study in High-end Health Screening Process Improvement

Chen

Tsai

et al. 2020

Preprint

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This study aimed to reduce the total waiting time for high-end health screening processes. The subjects of this study were recruited from a health screening center in a tertiary hospital in northern Taiwan from September 2016 to February 2017 and a total of 2,342 high-end customers were collected. Arena software was used to simulate the examination process. We presented the simulation results of three different policies and compared those results to the current state. The first policy presented a predetermined proportion of customer types, in which the total waiting time was increased from 72.29 to 83.04 mins. The second policy was based on increased bottleneck resources and provided significant improvement, with the total waiting time was decreased from 72.29 to 28.39 mins. However, this policy also caused the cost to increase dramatically, while lowering the utilization of this exam station. The third policy was adjusting customer arrival times, which reduced the waiting time significantly, as the total waiting time was reduced from 72.29 to 55.02 mins. Although the wait time of this policy was slightly longer than that of the second policy, the additional cost was much lower than the second plan. Scheduled arrival intervals could help to reduce customer waiting time in the health screening department base on FIFO rule. The simulation model of this study could be utilized and the parameters could be modified to comply with different health examination centers to improve process and service quality.

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“…Six Sigma means 3. 4 defects are produced for million opportunities in the processes (Wang et al, 2014;Barbara et al, 1992). This process allows companies to determine the performance of their company using a common metric process.…”

Section: Six Sigmamentioning

confidence: 99%

Design for six sigma: A review

Jenab¹,

Wu²,

Moslehpour³

2018

10.5267/j.msl

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Six Sigma is recognized as an essential tool for continuous improvement of quality. A large number of publications by various authors reflect the interest in this technique. Reviews of literature on Six Sigma have been done in the past by a few authors. However, considering the contributions in the recent times, a more comprehensive review is attempted here. The authors have examined various papers and have proposed a different scheme of classification. In addition, certain gaps that would provide hints for further research in Six Sigma have been identified. As a results the relationship between Six Sigma, Design for Six Sigma (DFSS), and how these two concepts support the quality system for organizational learning and innovation performance have been discussed that would help researchers, academicians and practitioners to take a closer look at the growth, development and applicability of Six Sigma in Design.

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A Case Study for Reducing Client Waiting Time in a Health Evaluation Center Using Design for Six Sigma

Cited by 9 publications

References 16 publications

Data analysis of ambient intelligence in a healthcare simulation system: a pilot study in high-end health screening process improvement

Data analysis of ambient intelligence in a healthcare simulation system: a pilot study in high-end health screening process improvement

Data Analysis of Ambient Intelligence in a Healthcare Simulation System: A Pilot Study in High-end Health Screening Process Improvement

Design for six sigma: A review

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