COVID-19 pandemic has resulted in an inflow of patients into the hospitals and overcrowding healthcare resources. Healthcare managers increased capacities reactively by utilizing expensive but quick methods. Instead this reactive capacity expansion approach, we propose a proactive approach considering different realizations demand uncertainties future due to COVID-19. For purpose, stochastic dy...

In order to meet the performance requirements of global optimality and path smoothness in robot planning, a new fusion algorithm jump-A* dynamic window approach is proposed. First, A* optimized by using jump point search method distance evaluation function defined Manhattan Euclidean obtain information. Then take as core integrating information safely plan op...

This chapter intends to give an overview of the literature on dynamic lot-sizing models and stochastic transshipment models. These two types of models are used as a basis for developing models with substitution in the following chapters. Section 2.1 contains a classification of models for dynamic lot-sizing / production planning, and selected models. In Sect. 2.2, we give a brief overview of av...

Path planning can be perceived as a combination of searching and executing the optimal path between start destination locations. Deliberative capabilities are essential for motion autonomous unmanned vehicles in real-world scenarios. There is challenge handling uncertainty concerning obstacles dynamic scenario, thus requiring an intelligent, robust algorithm, with minimum computational overhead...