Multi-Period Workforce Scheduling and Routing for Warranty Repair Services

The data used in computational experiments for the Multi-Period Workforce Scheduling and Routing for Warranty Repair Services study is provided.The locations corresponding to projects, each representing a customer, were taken from a study [1] on a vehicle routing problem. A 400 customer location instance was selected for each of the three problem classes: random (R), cluster (C), and random clustered (RC).[1] Homberger, J. and Gehring, H. (2005). A two-phase hybrid metaheuristic for the vehicle routing problem with time windows. European Journal of Operational Research, 162(1):220–238. Logistics: From Theory to Application.