A decision support tool to optimize scheduling of IT changes

Change management is one of the most critical processes in IT management. Some of the reasons are the sheer number of changes and the difficulty of evaluating the impact of changes on the IT services being provided. Through carrying out a survey with IT managers and practitioners, we have found that, among the activities performed during change management, change scheduling (allocating changes to change windows) is the most problematic one. In this paper we solve the change scheduling problem by using a business-driven approach that evaluates the impact of a change schedule in terms of the financial loss imposed on the service provider. Toward this aim, we model the impact of SLA violations when the implementation of changes is done after their deadline. A change scheduling optimization problem is then formalized and its solution is applied to a typical scenario. The results show that optimizing the scheduling of changes can result in significant savings to an IT support organization.