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Usually, different strains, culture conditions and production regimes are screened for to design the optimal production process.
The properties of both nano-material and original binder played the key roles in determining optimal production process parameters.
The proposed model is also capable of achieving continuous improvement and determining the optimal production process conditions for avoiding unnecessary energy consumption.
Recently, Ouyang and Chang (2013) proposed an optimal production lot with imperfect production process under permission delay in payment and complete backlogging.
Ouyang and Chang ([2013]) proposed an optimal production lot with imperfect production process under permissible delay in payments and complete backlogging.
We developed a complex computerized mathematical model to create an optimal production schedule that takes all these factors into account.
Hou (2007) derived a mathematical model to investigate the effects of an imperfect production process involving capital investment on the optimal solution.
This means that it has to find a proper production process to produce the subject in an optimal way.
Powell (2000) modeled a production process including variable processing times for different tasks in order to determine the optimal size of teams.
Traditionally, for optimal production in this process, have been used cobalt and iron catalysts (Noureldin et al. 2014; Liu et al. 2014).
The constant returns to scale model assumes a production process in which the optimal mix of inputs and outputs is independent of the scale of operation.
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