Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …

Clustering refers to the process of extracting maximally coherent groups from a set of objects
using pairwise, or high-order, similarities. Traditional approaches to this problem are based …

Over the past few decades, the strategies to perform energy systems analysis have evolved
into multiple criteria-based frameworks. However, there still remains a lack of guidance on …

The multiple criteria ABC analysis is widely used in inventory management, and it can help
organizations to assign inventory items into different classes with respect to several …

Companies are increasingly introducing cloud-based ERP systems as a solution for
integrating all-in-one business functions into the Internet. To support this decision, this paper …

Clustering is a long and widely-used technique to group similar objects based on their
distance. Recently, it has been found that this grouping exercise can be enhanced if the …

In an online supermarket, people may purchase multiple items in a single order for
convenience or to obtain free delivery. Multi-item customer orders often need to be split into …

Business processes constitute an essential asset of organizations while the related process
models help to better comprehend the process and therefore to enable effective process …

The increasing demand on productivity and quality requires machines to be constantly
available for production. It is therefore crucial to develop an adequate maintenance …

Food manufacturing is an important value-adding sector of both local economies and the
global economy in terms of job creation, food security and participatory community …