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The optimisation allowed for the determination of the process parameters required to produce the best quality tablets.
The selection of process planning methods during production influences the enterprise's production process planning performance with determination of the process flow as the most important influencing factor.
The second is the determination of the process characteristics and the establishment of the real operational number(s) particularly in case of large scale factors.
In process monitoring of real industry, observations may be interdependent and correlated, and an original DS design will occur high cost for the wrong determination of the process state.
In this paper, the aim is to synthesize and design the optimal heat exchangers network (i.e. determination of the process configuration and units sizes) while maintaining the net global efficiency of the whole system at its achievable value.
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The proposed methodology is part of a generalized design and operability framework and relies on the determination of the processes' steady-state controllability as an inherent system feature, independent of the control structure selection.
The proposed technique supports and extends the Layer of Protection Analysis application, especially for safety assurance assessment of risk-based determination for the process industries.
The procedure allows the simultaneous determination of the optimal process from any specified available process alternatives, its configuration, its design and corresponding operation in order to perform a given separation duty.
In theory, the sources of variability of the measurement performed with either the scoliometer or scoliogauge comes from the process of positioning, palpation and determination of the spinous process.
In this process, knowledge of the plastic deformation behaviour of the workpiece during the process is very important for the determination of the optimum process conditions such as die design, speed, temperature, friction and preform design.
An attempt is made by Majhi et al. (2013) for the determination of the optimal process parameters material removal rate, surface roughness and tool wear rate for EDM process.
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