Manufacturers using traditional process control charts to monitor their sheet metal stamping processes often encounter out-of-control signals indicating that the process mean has changed. Unfortunately, a sheet metal stamping process does not have the necessary adjustability in its process variable input settings to allow adjusting the mean response in an out-of-control condition, hence the sig...

A batch process is a discontinuous and concurrent process which is suitable for multi-product, small-sized production. The distinctive feature of a batch process is that various decision making processes, such as scheduling, design, operation, etc. are strongly connected with each other. Interaction among these processes is necessary to dynamically and flexibly cope with a variety of unplanned ...

Abstract The paper presents an approach to improve the product quality from batch to batch by exploiting the repetitive nature of batch processes to update the operating trajectories using process knowledge obtained from previous runs. The data-based optimization methodology is based on using the linear time varying (LTV) perturbation model in an iterative learning control (ILC) framework to pr...

In this paper, a novel monitoring method for the repetitive batch operation with two-dimensional dynamic behavior is proposed. It combines dynamic multiway principal component analysis (DMPCA) and hidden segmental semi-Markov models (HSMM) to resolve the problem caused by the two-dimensional behavior of batch processes. DMPCA utilizes the batch-to-batch dynamic characteristics and eliminates th...

An animal-component-free and chemically defined fed-batch process for GS-engineered cell lines producing recombinant antibodies has been developed. The fed-batch process relied on supplying sufficient nutrients to match their consumption, simultaneously minimizing the accumulation of by-products (lactate and osmolality). The proportionalities of nutritional consumption were determined by direct...

This report describes the building of a simulator for prediction of the dissolved oxygen concentration, the oxygen transfer rate and the concentration of carbon dioxide in a fermentation process. The steady state models were made using the linguistic equations method. The dynamic models were made using Simulink ® toolbox in the Matlab ® . At the beginning, some basics about fermentation and mic...

mathematical modeling and simulation of microbial polyhydroxybutyrate (phb) production process is beneficial for optimization, design, and control purposes. in this study a batch model developed by mulchandani et al., [1] was used to simulate the process in matlab environment. it was revealed that the kinetic model parameters were estimated off the optimal or at a local optimal point. therefore...

While sophisticated systems for both process control and production planning enjoy a wide industrial acceptance, tools for batch process scheduling represent a serious gap in the fully automated batch plant. Despite over fifteen years of academic research in batch scheduling algorithms and Moore’s law increases in computing power, spreadsheets and calculators remain the state-of-the-art means f...

Water is considered a significant resource in process industries. It essential for planners to target and optimize the use of water as an external industrial operations. Such optimization problems account uncertainties related internal resources must be handled provide solutions real plants relevance. In this paper, these parametric are addressed, while targeting continuous flexible schedule ba...