Greedy-Based Heuristics For Authorized Stockage List (ASL) Strategy

Purpose We aim to devise simple heuristics for the Authorized Stockage List (ASL) selection problem that are well applicable in real world decision-making processes.Methods To robustly address demand uncertainty across various items, we formulate the ASL selection problem using a distribution-free approach.Results We propose greedy-based heuristics that leverage the restricted supermodularity identified in the problem.Conclusion Through computational experiments, we analyze the effectiveness and efficiency of our proposed heuristics and compare them with various benchmarks including the current ASL selection strategy deployed by the Korean Army.