Decision support concept for managing the maintenance of city parking facilities

In this paper, we study the maintenance of city parking facilities (CPFs), specifically on modeling and support for decision-making related to planning CPF maintenance. Managing the maintenance of CPFs is complicated because it is a multi-disciplinary problem involving many participants, huge quantities of information, limited budgets, and conflicts of goals and criteria. These facts indicate that the decision-making processes in managing the maintenance of CPFs are ill-defined problems. To help maintenance managers cope with this complexity, we propose an approach that combines analytic hierarchy processing (AHP) and PROMETHEE multicriteria methods, and apply this approach to a priority-setting problem. After assessing the conditions of existing CPFs and the planned states of those CPFs, our approach produced a goal tree and criteria, and defined possible actions for the parking facilities. Representatives of stakeholders provided criteria weights by applying the AHP method. Using PROMETHEE II, we ranked the priorities, and the PROMETHEE V method allowed us to define the implementation phases of maintenance, producing the final maintenance plan. We validated our concept in the city of Split.