## 6 Conclusions  
With the aim of mitigating crime rates and providing a safe atmosphere, it is convenient to locate police facilities close to criminal occurrences, taking into account the distance between the facility and the occurrence, as well as the budgetary allowance that limits the maximum number of facilities to be allocated. In this way, an MIS is proposed to support decisions regarding improvements that can be implemented in public security, specifically proposing locations for police facilities that enable greater coverage, a shorter average distance traveled, and, consequently, better assistance to society. To accomplish this, the k-means clustering method is used to identify clusters, and thus candidate zones for police facilities and the MCLP are used to optimize the predefined locations. The support offered by the proposed MIS reduces the cognitive effort of the decision maker and enables the construction of a strategy with greater consistency and in less time. For this, the developed MIS has a potential set of analytical tools with sophisticated mathematical methods, which allows a variety of applications in the problem of the allocation of physical facilities. Data incorporating other relevant periods related to the costs of candidate locations or referring to other locations can feed the system and improve the analysis. Model parameters can also be changed considering the restrictions and the particularity of the problem. These issues make the proposed MIS flexible and replicable to other contexts. The proposed MIS was validated using criminal data from 2012 through 2017 for a location assessment of Recife. The assessment compared the performance of the MIS-suggested locations, considering five police centers and a 3 km radius coverage, with the performance of the current location of the police facilities. The results demonstrate that it is possible to obtain an additional 22% gain in the coverage area of occurrences and a reduction of 920 m in the operating distance for a police patrol from the police station locations to crime occurrences using the suggested locations compared to the current locations. In practical terms, we have greater coverage of the most prone zones to criminal occurrences and a faster arrival by police vehicles at the crime scene. This proposal aids the increased efforts of public administrations to attain efficient public security strategies in terms of rapid responses to crime occurrences. In the security policies and reduction in the crime rate, it is possible to define new police patrol routes with a focus on the most dangerous points, optimized surveillance schedules at border points between regions, simulations of a coverage radius for greater vehicle rotations in the marked locations with a greater probability of occurrences, inspections at times of lower flow of people to avoid approaches by suspects in deserted places, offline data for the prediction of possible occurrences, and the modeling of strategies to prevent occurrences, among other policies. However, changing the current location of police units requires time, money, etc. Nevertheless, it was not the paper's objective to define priorities but rather to allow decision-makers (public managers) to analyze the problem using a decision support tool (the proposed MIS). All the georeferenced entries in our sample from 2012 through 2017, obtained from this platform, represent only 4.12% of the official records for 2017 in Recife. We hope to overcome this limitation with a recent agreement for technical collaborations signed by the university and the state administration. Additionally, improvements with respect to MIS modeling should also focus on replacing the plane-based service area approach (based on Euclidean distance) with the street-based service area (based on the datasets of street network) of the facilities approach, since, as reported by [PERSON], [PERSON] et al. [71], there is a gain in the response time to emergency occurrences. Conceptualization, B.F.d.C.B., A.P.H.d.G. and T.R.N.C.