Spatial Adaptive Large Neighborhood Search for Wood Supply Chain Optimization

A Supply Chain describes a system flow from the raw product to the final product that is delivered to a customer. Hence, the participating organizations, people and transport processes are part of a Supply Chain. The Wood Supply Chain denotes a special Supply Chain that describes the flow of timber. This work focuses on the logistic operations from timber production to the first processing step in a saw or paper mill, and seeks to optimize the Wood Supply Chain with Adaptive Large Neighborhood Search. By introducing spatial amendments to Adaptive Large Neighborhood Search it is capable of solving the spatial-temporal problem of Wood Supply Chain optimization. A comparison of the obtained results and initial results give evidence that the optimization approach with spatial amendments results in an increase of the objective function of the given problem.