Two batches of frankfurters containing about 55% chicken meat with two different oils (including canola and soybean) were manufactured. Batch 1 included canola oil and Batch 2 included soybean oil in the products. Various analyses were performed to detect the lipid changes of both batches during storage. Fatty acid composition analysis using gas chromatography showed little change in the fatty ...

Batch processes in the biopharmaceutical and chemical manufacturing industries often develop new products to meet changing market demands. When dynamic models of these are trained, modeling with limited data for each product can lead inaccurate results. One solution is extract useful knowledge from past historical production that be applied a grade. In this way, model built quickly without havi...

Suppose that we have one run of n observations of a stochastic process by means of computer simulation and would like to construct a condifence interval for the steady-state mean of the process. Seeking for independent observations, so that the classical statistical methods could be applied, we can divide the n observations into k batches of length m (n= k.m) or alternatively, transform the cor...

Batch-to-batch iterative learning control of a fed-batch fermentation process using batchwise linearised models identified from process operation data is presented in this paper. Due to model-plant mismatches and the present of unknown disturbances, off-line calculated control policy may not be optimal when implemented to the real process. The repetitive nature of batch process allows informati...

two batches of frankfurters containing about 55% chicken meat with two different oils (including canola and soybean) were manufactured. batch 1 included canola oil and batch 2 included soybean oil in the products. various analyses were performed to detect the lipid changes of both batches during storage. fatty acid composition analysis using gas chromatography showed little change in the fatty ...

An integrated batch-to-batch control and within batch re-optimisation control strategy for batch processes using neural network models is presented in this paper. In order to overcome the difficulties in developing detailed mechanistic models, neural network models are developed from process operation data. Due to model-plant mismatches and unknown disturbances, the optimal control policy calcu...

a two server queueing system with single and batch service is considered in this paper. the arrival process is assumed to be poisson and the service rate follows an exponential distribution. server-i serves the customers in both single and batch service, while server-ii serves the customers in batch service only. the laplace transform of the transient and steady state behavior of the model is c...