Operations & Maintenance (O&M) contributes to about 25% of the total offshore wind farm costs which is rather large. It also influences the levelised production cost per kWh over the entire lifetime of the wind farm. Therefore, it is necessary to reduce the costs involved in O&M activities. One such activity is the logistics involved in O&M. The increasing logistical costs have been a challenge which can hamper the O&M market in the future. Therefore, it is important to take necessary steps to reduce the logistical costs. Wind farm operators have to take up logistical decisions to make optimal use of the available resources to maximise the wind farm availability. These decisions involve which turbines to repair, the route to follow considering constraints like weather conditions and vessel availability. A decision support tool aids in taking appropriate decisions to carry out the logistical activities. This calls for a testing tool which can assess the decisions taken by the planner or the decision support tool. Current research helps in developing a method to assess the quality of the decision taken by the decision maker or the decision support tool. This will help in making better decisions and reducing the costs involved in the logistics of O&M for Offshore Wind Farms (OWF). The objective of this graduation project is to set up guidelines for a test bench to examine the optimality of the decisions taken by the planner or the decision tool to carry out the logistical operations for a shorter duration.