Data have been utilised in production research in meaningful ways for decades. Recent
years have offered data in larger volumes and improved quality collected from diverse …

In modern manufacturing environments, vast amounts of data are collected in database
management systems and data warehouses from all involved areas, including product and …

Traditional clustering methods fail to accurately cluster the feature vectors of backers and
macth the potential backers to compatible crowdfunding projects, mainly due to their …

The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …

Nowadays, guaranteeing the highest product variety in the shortest delivery time represents
one of the main challenges for most of industries. The dynamic contexts where they have to …

This study focuses on utilizing data mining techniques to extract valuable insights from
discrete industrial data, crucial for Operations and Maintenance (O&M) decision-making. We …

Abstract Analysis of warranty based big data has gained considerable attention due to its
potential for improving the quality of products whilst minimizing warranty costs. Similarly …

Warranty claims and supplementary data contain useful information about product quality
and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying …

Abstract When dealing with Automated Storage and Retrieval Systems (ASRS), the
allocation of items to the most convenient storage location depends on the vast amount of …

Social media data contain rich information in posts or comments written by customers. If
those data can be extracted and analysed properly, companies can fully utilise this rich …