control of production processes in an industrial environment needs the correct setting of input factors, so that output products with desirable characteristics will be resulted at minimum cost. moreover, such systems havetomeetset of qualitycharacteristicstosatisfycustomer requirements.identifyingthemosteffectivefactorsindesignoftheprocesswhichsupportcontinuousandcontinualimprovement isrecently...

This paper presents the application of the sensitivity analysis techniques Design of Experiments (DOE) and metamodelling to the agent-based model AgriPoliS, which is a spatial and dynamic simulation model of regional structural change. DOE and metamodelling provide a more systematic analysis of results of complex simulation models. When summarising the results, it becomes clear that interest ra...

Alkaline hydrolysis of ethyl acetate is essentially an irreversible and second order reaction. Industrial importance of the reaction product, sodium acetate, necessitate for process improvement in terms of maximum conversion and economical usage of raw materials. Statistical design of experiments was utilized to enhance conversion in both batch and plug flow reactors.A full two level factor...

Large volumes of protein solutions are commonly stored in a frozen state before further drug product fill and finish. This study aimed to establish design space perform large-scale freeze-thaw (F/T) processes biotherapeutics without inducing destabilization. A response surface model was designed evaluate the following main factors interactions: volume solution 1-L containers, distance among nin...

Calendering is a key yet complex manufacturing process that has varied effects on the Li-ion battery cell performance. Finding optimal compaction can require many experiments if using traditional one-factor-at-a-time method, which would be both and resource intensive. Design of Experiments (DoE) coupled with modeling via multiple linear regression (MLR) are used in this study to better understa...

Quality by Design (QbD) is a systematic approach to development that begins with predefined objectives for product, process understanding, and control based on knowledge quality risk management. All conventional methods may fail the intended purpose during method validation. In QbD approach, impact interactions between critical variables are understood using of Experiments (DOE) which gives mul...