Warehouse Management Systems have been evolving and improving thanks to new Data
Intelligence techniques. However, many current optimizations have been applied to specific …

In automotive paint shops, changes of colors between consecutive production orders cause
costs for cleaning the painting robots. It is a significant task to re-sequence orders and group …

The newsvendor problem is one of the most basic and widely applied inventory models. If
the probability distribution of the demand is known, the problem can be solved analytically …

A distinctive feature of online retail is the flexibility to ship items to customers from different
distribution centers (DCs). This creates interdependence between DCs and poses new …

Data driven optimisation has become one of the research frontiers in operations
management and operations research. Likewise, the recent academic interest in big data …

Multi-agent systems can limit the control problem in complex production systems and solve
them more efficiently. However, they often show local optimization tendencies. This paper …

Problem definition: We study the robust formulation of an inventory model with positive fixed
ordering costs, where the unfulfilled demand is either backlogged or lost, the lead time is …

Even though base-stock policies are per se straightforward, determining them in complex,
stochastic multi-echelon supply chains is often cumbersome or even analytically impossible …

Online lot sizing for perishable materials in an uncertain environment is a fundamental
problem for inventory planning and has been studied for several decades. In this article, we …

The coordination of order policies constitutes a great challenge in supply chain inventory
management as various stochastic factors increase its complexity. Therefore, analytical …