Process analysis is one of the important topics in manufacturing industry. Recently process
mining has been applied to analyze manufacturing processes. In this paper we investigate …

It is difficult for manufacturers of printed circuit boards (PCBs) to remain competitive because
of the ever-increasing complexity of circuit board designs and processes that increase the …

The application of Bayesian networks for monitoring and diagnosis of a multistage
manufacturing process is described. Bayesian network “part models” were designed to …

Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …

Maintenance management for manufacturing is a crucial activity for improving productivity
within a facility. Within this process, maintenance work orders (MWOs) are used when …

One major result of the Industrial Digitalization is the access to a large set of digitalized data
and information, ie Big Data. The market of analytic tools offers a huge variety of algorithms …

Predictive business process monitoring aims at forecasting potential problems during
process execution before they occur so that these problems can be handled proactively …

One of the most difficult tasks we face in automated process planning is determination of
operation sequencing. In this paper we present an approach to automatic generation of …

This paper describes a modeling study of preventive maintenance (PM) policy of production
plant in a local company with a view to improving current practice. The model developed is …

Determination of the most significant manufacturing process parameters using collected past
data can be very helpful in solving important industrial problems, such as the detection of …