Recently the relationship between batch struct:u-e, bottleneck machine and maximum th, oaghpi~t has been explore0 for serial, convergent and divergent process configuration~ consisting of two machines and d,.rre processes. In three of the seven possible configurations a multiple batch structure maximizes time-constrained tt-_:oughput. The O,-;qciple of scheduling a bottleneck first appears to b...

This paper deals with semi-online scheduling on two parallel batch processing machines with jobs’ nondecreasing processing times. Our objective is to minimize the makespan. A batch processing machine can handle up to B jobs simultaneously. We study unbounded model which means that B is sufficiently large. The jobs that are processed together construct a batch, and all jobs in a batch start and ...

A single-server queueing model with infinite buffer and batch arrival of customers is considered. In contrast to the standard batch arrival when a whole batch arrives into the system at one epoch, we assume that the customers of an accepted batch arrive one by one in exponentially distributed times. Service time is exponentially distributed. Flow of batches is the stationary Poisson arrival pro...

Batch normalization was introduced in 2015 to speed up training of deep convolution networks by normalizing the activations across the current batch to have zero mean and unity variance. The results presented here show an interesting aspect of batch normalization, where controlling the shape of the training batches can influence what the network will learn. If training batches are structured as...

In this paper recent semi-batch chromium sludge processing is compared with batch processing by simulation means mainly. A possible time and/or power consumption reduction using these two techniques is monitored to optimize the process. The process itself is strongly exothermic so the temperature control is necessary to keep the temperature under critical temperature point.

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...

The estimation of quantiles of the steady-state distribution of a (general state-space) Markov chain (MC) from observations (e.g., simulated) of the corresponding MC is an important problem. For example, this estimation is required when constructing prediction intervals for a response variable W = g(Q) and Markov chain Monte Carlo has been applied to obtain information on the posterior distribu...

The use of batch means is a well-known technique for estimating the variance of mean point estimators computed from a simulation experiment. This paper discusses implementation of a sequential procedure to determine the batch size for constructing confidence intervals for a simulation estimator of the steady-state mean of a stochastic process. Our quasi-independent (QI) procedure increases the ...

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...

Many models of process industry batch production systems are of a continuoustime/discrete-event (CT/DE) nature: physical processes are modelled using CT specifications, operating procedures are modelled using DE specifications. For scheduling of batch production systems, special purpose tools are available. The Chi language is a CT/DE language with high level DE language elements. This makes it...