Abstract:

With the impact of globalization, the world is shrinking regardless of time and space. Shrinking is reflected in daily life as increasing change and uncertainty. This situation causes the competition conditions to become heavier and businesses to experience many difficulties in meeting the demands. Uncertainty has become an important concept to be managed since the introduction of the fuzzy concept by Zadeh in the 20th century. Fuzzy logic, which takes uncertainty into account, has been applied in many fields, although it has developed in different structures. Neutrosophic sets are one of these structures. Neutrosophic sets offer the opportunity to examine uncertainty with independent truth, uncertainty and falsity components. Businesses want to produce their production at the desired quality and on time. In addition, businesses aim to increase their earnings by using their available resources in an optimal way. The realization of production within the framework of multiple objectives is possible by organizing the production process as multi-objective. In this study, a solution technique for the multiobjective linear production problem is proposed. Neutrosophic multiobjective optimization technique is used to solve the problem in a textile production enterprise. With the data obtained from the enterprise, the current capacity and objectives of the enterprise were determined.Then, the production model was modeled and solved by neutrosophic multi-objective optimization technique. As a result of the study, the solution results of the multi-objective optimization problem obtained with neutrosophic and intuitionistic fuzzy sets were compared. For the profit and customer satisfaction objectives, more efficient results were obtained with the neutrosophic multi-objective optimization technique. For the cost objective, lower costs are obtained with the intuitionistic fuzzy multi-objective optimization technique.

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