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Evolutionary Operation: A Method for Increasing Industrial Productivity

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  • George E. P. Box

Abstract

The rate at which industrial processes are improved is limited by the present shortage of technical personnel. Dr Box describes a method of process improvement which supplements the more orthodox studies and is run in the normal course of production by plant personnel themselves. The basic philosophy is introduced that industrial processes should be run so as to generate not only product, but also information on how the product can be improved.

Suggested Citation

  • George E. P. Box, 1957. "Evolutionary Operation: A Method for Increasing Industrial Productivity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 6(2), pages 81-101, June.
    • Handle: RePEc:bla:jorssc:v:6:y:1957:i:2:p:81-101
    DOI: 10.2307/2985505
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    Cited by:

    1. Fan, Shu-Kai S. & Zahara, Erwie, 2007. "A hybrid simplex search and particle swarm optimization for unconstrained optimization," European Journal of Operational Research, Elsevier, vol. 181(2), pages 527-548, September.
    2. Mishra, SK, 2007. "Performance of Differential Evolution Method in Least Squares Fitting of Some Typical Nonlinear Curves," MPRA Paper 4634, University Library of Munich, Germany.
    3. Yingjie Tang & Zheren Zhang & Zheng Xu, 2020. "Analysis and Design of Damping Circuit Parameters for LCC Valves Based on Broadband Model," Energies, MDPI, vol. 13(5), pages 1-21, February.
    4. Francesco Battaglia, 2001. "Genetic alghorithms, pseudo-random number generators, and Markov chain Monte Carlo methods," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 129-154.
    5. Eltinge John L. & Biemer Paul P. & Holmberg Anders, 2013. "A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems," Journal of Official Statistics, Sciendo, vol. 29(1), pages 125-145, March.

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