PO-1101: Six Sigma Optimizations for Workflow and Quality Improvement in the Radiation Oncology Clinic

Bennion, N.R.; Kong, Zhen; Wilson, Kim; Poole, Marshall Scott; McMahon, Rachel; Yager, Ann; Enke, Charles Arthur; Zhou, Shun

doi:10.1016/s0167-8140(18)31411-7

Cited by 1 publication

(1 citation statement)

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“…The quality characteristics are determined by the maximum permissible error within the production process, thus determining whether it is capable of meeting customer requirements (Vincent, et al, 2021). The key to implementing a sigma index is not sigma results, but identifying the root cause of the errors and developing an improvement plan aimed at reducing or eliminating them and thus improving the process (Bennion, et al, 2018).…”

Section: Six Sigma In Service Companiesmentioning

confidence: 99%

Global Performance Evaluation Based on Multivariable Statistical Control of a Public Utility Company

Maturana,

Herrera

2023

Pesqui. Oper.

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In this research article, the service provision in a public company was evaluated through multivariate statistical control to determine the performance of its dimensions. For this purpose, the methodology used was: 1) characterization of the information associated with the quality dimensions provided, through consolidated databases recognized for their high level of quality, such as: Elsevier, Inderscience, among others; 2) calculation of Six Sigma metrics (DPMO, Z-level and performance), which will allow from a monthly average, to evaluate the quality of the service provided by the company in a timely and periodic manner in the 12 periods of 2019; 3) Evaluation of the performance of the service dimensions in a global and comprehensive manner, through multivariate analysis. Finally, the quality of the company's service is presented. Thus, allowing the control and continuous improvement of the processes, through its prompt replanting.

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Section: Six Sigma In Service Companiesmentioning

confidence: 99%