Multi-criteria optimization of the system for complex processing of oil contaminated waste regarding a set of system quality criteria

The paper proposes a new approach to solving the multicriteria optimization problem for the system for processing man-made waste of the oil and gas complex. The optimization problem is formulated as an integer mathematical programming problem with constraints. The objective function in the optimization problem is formed using a set of efficiency assessments obtained as a result of a multivariate analysis of resource and energy savings in the system for processing industrial waste from oil and gas enterprises based on the Data Envelopment Analysis (DEA) method. As restrictions in the problem, constraints on the maximum duration of the process of processing waste placed in a given group of storage facilities with the help of specialized technological installations are considered. Problem-oriented software has been developed for the numerical solution of the problem of multiobjective optimization.