Due to changes in individual demand, manufacturing processes have become more complex and dynamic. To cope with respective fluctuations as well as machine breakdowns, capacity adjustment is one of the major effective measures. Instead of labor-oriented methods, we propose a machinery-based...

Artificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and...

Many governments struggle with how to efficiently, effectively, and equitably allocate medical supplies and equipment. Medical supplies and equipment can be expensive and prone to mismatches in use, context, and the level of expertise needed to operate them. Optimizing allocation is particularly...

The Holt and Laury (2002) task is arguably the most widely employed method for eliciting individual risk attitudes in economics. However, although around 15% of standard experimental subjects fail to complete the task consistently, this fraction increases to an alarming 60-70% in the case of...