Abstract
Airlines, railways, and public transit agencies schedule crews through mathematical models that cut operational costs and reduce service failures. The moving and relocation industry, with over 102,000 workers at nearly 9,000 registered U.S. carriers, has no equivalent tool. Dispatchers assign crews by intuition, and the resulting mismatches between team capacity and job demands drive property damage, schedule overruns, and workforce turnover. This study introduces the Adaptive Crew Management Framework (ACMF), which scores each job on five complexity parameters (Job Complexity Score), matches the score to a crew configuration (Crew Composition Matrix), and checks each proposed crew member against a rolling fatigue index (Workload Rotation Protocol). Operational records from a mid-size carrier in the northeastern United States were compared across two six-month windows, before and after ACMF adoption. On-time completion rose from 81.3% to 93.7%, damage claims fell by 34%, and quarterly turnover dropped from 28% to 22%. Because ACMF requires only paper scoring sheets and a basic spreadsheet, it is accessible to small carriers that lack dedicated scheduling software.
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