The paper discusses the issues of multi-criteria optimization of planning the loading of technological equipment at a machine-building enterprise within a calendar year. Planning and optimizing the loading of technological equipment is one of the key tasks of operational calendar planning at engineering enterprises. The paper presents a model for optimizing the load of technological equipment used in the production process. Within the optimization model, three groups of target indicators were identified: the performance indicator of the group of technological equipment within the calendar year; indicator of uniformity of process equipment group loading within the calendar year; the amount of losses from downtime of a group of process equipment within a calendar year. The paper presents the results of optimizing the load of the fleet of machine tools used within the framework of the machining workshop. Load optimization was carried out for certain groups of technological equipment: a group of lathes, a group of milling machines, a group of grinding machines. Equipment load optimization was carried out by redistributing the total labor intensity of the work performed for the corresponding groups of technological equipment between periods of the calendar year. The Pareto optimization method was used to determine the optimal option for loading groups of process equipment. The following optimization strategy has been defined: minimizing the total amount of losses from downtime of process equipment. The paper presents graphs of Pareto fronts for targets for turning group machines. As a result of optimization, the total amount of losses for certain groups of process equipment resulting from downtime decreased by 6.8% -10.2%. Thus, the use of the developed model to solve the problem of optimizing the load of the fleet of machine-tool equipment made it possible to increase the efficiency of the operational scheduling process at machine-building enterprises.

Keywords: scheduling, multi-criteria optimization, machine stock, targets, losses, process loading