Notice of Violation of IEEE Publication Principles - Process Control Technology Application in the Manufacture of Discrete Components NC

2009 ◽  
Author(s):  
Hou Ming
Keyword(s):  
Process Control ◽  
Control Technology ◽  
Technology Application

Increasing revenue and reducing cost through the use of advanced process control technology in the sugar industry

2016 ◽  
pp. 620-624
Author(s):  
Scott Kahre
Keyword(s):  
Process Control ◽  
Sugar Industry ◽  
Operating Cost ◽  
Control Technology ◽  
Advanced Process Control ◽  
Output Controller ◽  
Complex Processes ◽  
Unit Operations ◽  
Sugar Unit ◽  
Optimum Cost

Advanced process control technology can provide sugar processors the ability to realize major revenue enhancements and/or operating cost reductions with low initial investment. One technology in particular, model predictive control (MPC), holds the potential to increase production, reduce energy costs, and reduce quality variability in a wide variety of major sugar unit operations. These include centrifugal stations, pulp dryers, extractors, diffusers, mills, evaporating crystallizers, juice purification, and more. Simple payback periods as low as two months are projected. As a PC-based add-on to existing distributed control systems (DCS) or programmable logic controller (PLC) systems, MPC acts as a multi-input, multi-output controller, utilizing predictive process response models and optimization functions to control complex processes to their optimum cost and quality constraints.

Welding Deformation Controlling for the Truck Rack Girder

2012 ◽  
Vol 217-219 ◽  
pp. 2125-2132
Author(s):  
Li Qin Li ◽  
Li Bin Zhao ◽  
Xi Min Liu ◽  
Da Yu Wang ◽  
Xing Wang Wen
Keyword(s):  
Process Control ◽  
Welding Process ◽  
Fixture Design ◽  
Welding Deformation ◽  
Control Technology ◽  
Deformation Control ◽  
Running Safety

This paper aims at the research on deformation control technology in truck rack girder. Welded deformation is minished through special welding fixture design and welding process control, thus to improve the size precision of the truck rack girder and ensure the running safety of the vehicle.

scholarly journals Platform for Advanced Control and Estimation (PACE): Shell's and Yokogawa's Next Generation Advanced Process Control Technology

2015 ◽  
Vol 48 (8) ◽  
pp. 1-5 ◽  
Author(s):  
R. Amrit ◽  
W. Canney ◽  
P. Carrette ◽  
R. Linn ◽  
A. Martinez ◽  
...  
Keyword(s):  
Process Control ◽  
Control Technology ◽  
Next Generation ◽  
Advanced Process Control ◽  
Advanced Control

A Clean-Coal Control Technology Application Study: Modelling and Control Issues for a Coal Gasifier

2009 ◽  
Vol 42 (11) ◽  
pp. 393-398
Author(s):  
S. Bittanti ◽  
L. Calloni ◽  
S. Canevese ◽  
A. De Marco ◽  
V. Prandoni
Keyword(s):  
Control Technology ◽  
Clean Coal ◽  
Application Study ◽  
Technology Application ◽  
Coal Gasifier ◽  
And Control

Statistical Process Control Technology Applied in ERP System

2011 ◽  
Vol 421 ◽  
pp. 461-464 ◽  
Author(s):  
Ying Ji Li ◽  
Wei Xi Ji
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Control Chart ◽  
Nuclear Power ◽  
Analytical Data ◽  
Quality Data ◽  
Control Technology ◽  
Statistical Process ◽  
And Control

For the high and strict quality requirement in the manufacturing process of nuclear power parts, this paper is based on the combination of Statistical Process Control technology and the ERP quality management and control the production quality based on the control chart. PowerBuilder 9.0 and SQL Server2000 were used to design and develop the system while PowerBuilder 9.0 as front-end development tool and SQL Server2000 as back-end DBMS respectively. Firstly, collect the quality data of the production process (some important processes). Then, analysis these data and form control chart. Real-time monitor production process by the control charting to ensure the process is stability. Organic combination of SPC and ERP to improve and control the quality, not only enrich the analytical data of SPC, but also make up the ERP data to analysis and control quality data.

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