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Evolutionary Operations for Process Improvement (8 Operation Room Air Condition Settings)

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter
  • 78 Downloads

Abstract

Evolutionary operations (evops) try and find improved processes by exploring the effect of small changes in an experimental setting. It stems from evolutionary algorithms (see Machine learning in medicine part three, Chap. 2, Evolutionary operations, pp. 11–18, Springer Heidelberg Germany, 2013, from the same authors), which uses rules based on biological evolution mechanisms where each next generation is slightly different and generally somewhat improved as compared to its ancestors. It was developed in the 1950s by George E. P. Box. Evop methodology introduces experimental designs and improvements, while an ongoing full-scale manufacturing process continues to produce satisfactory results. It is, currently, widely used not only in genetic research, but also in chemical and technical processes. So much so that the internet nowadays offers free evop calculators suitable not only for the optimization of the above processes, but also for the optimization of your pet’s food, your car costs, and many other daily life standard issues. This chapter is, to assess how evops can be helpful to optimize the air quality of operation rooms.

Supplementary material

333106_2_En_74_MOESM1_ESM.sav (2 kb)
evops (SAV 2 kb)

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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