Dynamic facility layout problems involve devising the optimal layout for each different
production period. This article studies unequal-area dynamic facility layout problems under …

Specialised knowledge on analytics algorithms is necessary to conduct a data analysis;
thus, there are limits to how a manufacturing manager who is not a data analysis expert …

The increasingly wide usage of location aware sensors has made it possible to collect large
volume of trajectory data in diverse application domains. Machine learning allows to study …

The enterprises of the make-to-order production mode are required to make accurate
judgments and reasonable decisions when dealing with the disturbance factors in the …

Activity recognition refers to the process of automatically identifying or interpreting activities
of objects based on the data captured from different sensing devices. While previous …

Data-driven decision making is becoming an integral part of manufacturing companies. Data
is collected and commonly used to improve efficiency and produce high quality items for the …

Internet of Moving Things are connected to a variety of different types of sensors to form a
world of moving things, including people, animals, vehicles, drones, and boats, etc. As the …

Indoor positioning systems provide a platform to track multiple objects concurrently in an
indoor environment. The primary purpose of these systems is to locate objects. However, the …

A systematic investigation of machine learning and``domain knowledge''based Activity
Recognition (AR) methods was undertaken for a manufacturing based used case involving …

When the query time is far distant from the current time, existing prediction methods in
moving objects databases are unable to reliably estimate positions. Most strategies presume …