In a global scenario of intense competition with increasingly complex and dynamic industries, decision-making has become a key factor that can often determine the survival and success of a company. The oil and gas industry has annual investments of billions of dollars and every decision is considered vital for this industry. Due to the large number of projects being proposed and studied, involving both expansion and maintenance of business structure, the high value of each and the budget constraint of each company, the decision-making is important and complex, due to numerous variables and constraints involved. This dissertation develops a proposed method of support to the process of decision making used in the selection of logistics investment projects, in a large company in the oil and gas industry. In most cases, the criteria used for decision making in project selection only considers the financial aspects, without taking into account other ones, which are addressed in this work. Due to the importance of the projects and the amount of variables involved when selecting and prioritizing them, this work uses the Simplified AHP (Analytic Hierarchy Process) and concepts of Mixed Integer Linear Programming (MILP) to determine priority projects and optimize the satisfaction of the decision-making group. Six of the main projects of the enterprise were studied, which together sum up to approximately 2.7 billion dollars and represent almost 80 per cent of the logistics portfolio of the studied company. This study allowed a more effective selection, resulting in a greater integration between decision makers and a greater knowledge of each of the evaluated projects.