Process variability and inherent efficiency enhancement in industrial processes: Two case studies in pulp and paper industry

Author

Shahriari, Kyarash ; Ding, Feng

Author_Institution

Centre de Rech. Ind. de Quebec (CRIQ), Quebec City, QC, Canada

fYear

2011

fDate

28-30 Sept. 2011

Firstpage

1262

Lastpage

1269

Abstract

In this paper, the correlation between process variability attenuation and efficiency enhancement in industrial processes is studied. The starting hypothesis of this work states that process variability attenuation brings about efficiency enhancements in both energy and productivity aspects. To test the hypothesis, a multi-variable statistical approach requiring no process model is proposed. The approach is applied to two case studies in pulp and paper industry. The results approve the starting hypothesis while they can further be used to justify any capital investment in advanced control systems to attenuate process variability.

Keywords

investment; manufacturing processes; paper industry; process control; productivity; statistical analysis; capital investment; industrial process; inherent efficiency enhancement; multivariable statistical approach; process variability; productivity; pulp and paper industry; Control systems; Energy efficiency; Indexes; Process control; Productivity; Reactive power;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications (CCA), 2011 IEEE International Conference on

Conference_Location

Denver, CO

Print_ISBN

978-1-4577-1062-9

Electronic_ISBN

978-1-4577-1061-2

Type

conf

DOI

10.1109/CCA.2011.6044512

Filename

6044512