OPTIMIZATION OF PROJECT SCHEDULING UNDER UNCERTAIN PARAMETERS

Abstract

This article considers the problem of operational planning of one-subject production. The organization of machine-building production is a complex set of works to determine the interrelated indicators that characterize the activities of the enterprise. Enterprises of this type have a complex hierarchical structure. It is also necessary to take into account that when planning the production process, the number of parameters is large and not all of them can be accurately determined, which affects the efficiency of the enterprise. To solve the problem of effective planning, the optimality criteria for serial one-subject production were analyzed. One-subject production includes those where parts of the same name are processed, that is, a production line is formed. Consequently, the task of optimizing production is to distribute the entire set of work between the machines and operators servicing this machine in such a way that the planned task is completed within a given time and the total cost of completing the task is minimal. The article considers the problem of assignment under uncertainty, carried out experimental calculations and analyzed the results obtained, which justifies the use of the proposed apparatus of fuzzy sets for solving the problem of production planning. It is concluded that under conditions of uncertainty, when there is no exact or statistical information, the apparatus of fuzzy sets makes it possible to analyze theeffectiveness of production activities when setting parameters that reflect the possible values of the system. In such cases, the use of fuzzy logic mechanisms in the problems of making production decisions will make it possible to determine optimal or close to optimal solutions.