Method of Selecting Technologies of a Manufacturing Enterprise to Carry out Projects on Their Improvement on the Basis of the Theory of Fuzzy Sets

Abstract

Carrying out projects on improving technological processes is one of the crucial tasks of manufacturing enterprise management. Nowadays increasing the number of successful projects of this sort and as a result solving a problem of choosing an object to carry out similar researches on from the total number of technological processes of an enterprise is a pressing issue.

A method of selecting technologies to implement projects on their improvement based on mathematical tools of fuzzy sets, which uses the data on the performance of a technology in the past as well as the data on the potential for development of such technology in the future is described in this article. The above ensures the increase in efficiency of selection compared with the ways based only on historical information. In the method offered, classical selection criteria exposed to fuzzification are used. Then all the operations are performed on fuzzy sets. The output is a ranked list of technologies of the enterprise with a high degree of probability of implementation of the project on its improvement. An apparent advantage of the proposed method is using mathematical tools of the theory of fuzzy sets allowing implementing a process of selecting technologies in intuitively clear terms that simplifies the implementation of the method into managerial practices of a manufacturing enterprise.