This research introduces a novel high-accuracy time-series forecasting method, namely the
Time Neural Network (TNN), which is based on a kernel filter and time attention mechanism …

Continuous product individualization and customization led to the advent of lot size one in
production and ultimately to product-inherent uniqueness. As complexities in …

An interdisciplinary approach to management allows for the integration of knowledge and
tools of different fields of science into a unified methodology in order to improve the …

In operations management, the benefit of simulating manufacturing processes with data-
driven models has been proven in scenario-based capacity and performance analytics. The …

One of the most complex and agile production environments is semiconductor
manufacturing, especially wafer fabrication, as products require more than several hundred …

The decision-maker is increasingly utilising machine learning (ML) techniques to find
patterns in huge quantities of real-time data. The approaches enable the system to learn …

Semiconductor manufacturing, commonly described as a complex job shop, contains
product-inherent constraints that amplify dispatching complexities. Most notably time …

Increasing complexity, emerging manufacturing objectives and rising costs of manufacturing
equipment result in the needs for faster product development and for a more effectively use …

Recognizing suitable manufacturing methods for goods can be taken into account as a
crucial manufacturing task resulting in the optimization of activities. It has gained …

In wake of an ever increasing complexity the desire to move towards intelligently controlling
operations is amplified in manufacturing. Complex job shops mark the most complex …