Operational workload balancing in a spare parts warehouse

Abstract

The objective of this study is to test multiple objective functions (e.g., range, variance, and Gini-coefficient) with the aim of balancing the workload during the day in a spare parts warehouse. Additionally, an iterated local search algorithm is provided to solve the operational workload balancing problem. The performance and practical applicability of the algorithm are shown by analysing and explaining a wide range of warehouse parameters.