Integration of Online and Stochastic Optimization for Operational Decision Making in Warehouse Operations

In modern distribution centres, especially in B2C environments, a large number of decisions have to be made during operations. The objective is to organise the operation of existing resources efficiently and to meet customer expectations. This paper explores the integration of online and stochastic optimisation methods to facilitate operational decision making in warehouse environments. Through a literature review, the relevance of online algorithms and stochastic programming in handling uncertainties inherent in warehouse operations is analyzed. The paper highlights the potential benefits and challenges associated with combining these approaches and emphasizes the importance of adaptable methodologies for addressing real-world complexities. The paper underscores the significance of leveraging integrated approaches to navigate the complexities of modern warehouse operations and achieve better outcomes in dynamic environments.