Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads ...

We study a sports scheduling problem with the objective of minimizing carry-over effects in round robin tournaments. In the first part, focusing on tournaments that allow minimum number of breaks (at most one) for each ...

In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming ...

This study represents a decomposition heuristic approach for simultaneous lot sizing and scheduling problem for multiple product, multiple parallel machines with secondary resources. The motivation of the study comes from ...

Hikaye Puanı (SP: Story Point), Scrum ve Kanban gibi çevik yöntemlerde kullanılan en yaygın metriklerden birisidir. Subjektif bir metrik olsa da kullanışlı ve basit olması nedeniyle çevik ekiplerin birikim listelerinde ...

An artificial neural network (ANN) is a computational model − implemented as a computer program − that is aimed at emulating the key features and operations of biological neural networks. ANNs are extensively used to model ...

Pazara yeni girecek bir ürünün öncelikliolarak kullanımına sunulacağı kişilerin (hedef kümenin) belirlenmesi pazar payı tahmini yapmak için önemli, ancak çözülmesi zor bir problemdir. Bu makalede, bu problem için ajan-bazlı ...

Software development is a must for almost all industries including services, production, health and even construction. Being so widespread, software development industry needs metrics for especially two reasons; performance ...

Musical genres are labels created by human and based on mutual characteristics of songs, which are also called musical features. These features are key indicators for the content of the music. Rather than predictions by ...