In this work, a novel sequence-based mixed-integer linear programming formulation for the simultaneous batching and scheduling in multi-product multi-stage batch plants is developed. The selection of batches, the allocation of batches to processing units and the sequencing of batches in each unit constitute the discrete decisions of our model. Batch processing times and sizes are variables. Bat...

We analyze batch-scheduling problems that arise in connection with certain industrial applications. The models concern processing on a single max-batch machine with the additional feature that the tasks of the same batch have to be compatible. Compatibility is a symmetric binary relation—the compatible pairs are described with an undirected “compatibility graph”, which is often an interval grap...

A method is presented for estimating the improvement potential of planning and scheduling in a batch-wise processing company. It involves a characterization of the actual planning and scheduling situation and supports systematic exploration of improvement options and their benefits. Insights gained in two explorative industrial case studies were used to arrive at a robust method that can be app...

We study the problem of minimizing makespan for part machining on a multi-spindle heads machine with a mobile table. We show that this problem can be formulated as a scheduling problem for a single batch machine with compatibility and precedence constraints between jobs. Jobs grouped in a batch are processed simultaneously, but the difference from considered in the literature max-batch machine ...

This paper presents a method for condition monitoring of systems that operate in a repetitive manner. A data-driven method is proposed that considers changes in the distribution of data samples obtained from multiple executions of one or several tasks. This is made possible with the use of kernel density estimators and the Hellinger metric between distributions. To increase robustness to unknow...

This paper presents a method for condition monitoring of systems that operate in a repetitive manner. A data driven method is proposed that considers changes in the distribution of data samples obtained from multiple executions of one or several tasks. This is made possible with the use of kernel density estimators and the Kullback-Leibler distance measure between distributions. To increase rob...

The Industrial Computed Tomography (ICT) is an advanced NDT technology to get exact internal and external structure information of the tested specimen. The nondestructive testing personnel can control the outgoing quality of workpieces by ICT image processing and data measurement. In this paper, we introduce high energy industrial CT system with accelerator X-ray source which is developed for b...

This paper considers a bi-objective model for a scheduling problem of unrelated parallel batch processing machines to minimize the makespan and maximum tardiness, simultaneously. Each job has a specific size and the data corresponding to its ready time, due date and processing time-dependent machine are uncertain and determined by trapezoidal fuzzy numbers. Each machine has a specific capacity,...