This paper develops a multi-criteria model for making decisions on the production programme relevant for industrial enterprises. It presents some possibilities of using the method of multi-criteria decision making with managerial decision making on the production programme and some possibilities of modelling and disclosing preferences of a decision maker when conducting multi-criteria rating of alternative solutions by applying the concept of PROMETHEE method. The development of a multi-criteria basis for multi-layered and multilevel decision making in a system of relevant criteria, including development aspect, technical and technological aspect, economic aspect, competitive aspect, and humanity aspect, with a set of relevant criteria indicators of quantitative and qualitative nature. By introducing new types of preference functions and by applying them to the multi-criteria decision making of the production programme and to the software support implemented there, original solutions to the problem of the programme orientation optimization are offered. Practical testing of the projected model and of the complex procedure of multi-criteria decision making was demonstrated in practice with the example of a multi-criteria approach to the selection of an optimal variant for the programme of hail suppression rockets production. A multi-criteria approach ensures finding solutions for, and examining the products that are a key to, the long-term development of the enterprise.

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In recent decades, many researchers and practitioners have believed that reaching a high level of business excellence leads to the continuous realization of a set of business goals. In the literature, a vast number of models for business excellence evaluation that contain different criteria depending on the cultural, technological, organizational, and socio-economic factors can be found. The aims of the proposed fuzzy two-stage model are to address some of the main shortcomings of the EFQM2020 model and to adapt it to the needs of process manufacturing. The relative importance of quality criteria and their values are presented by pre-defined linguistic expressions modeled by the triangular fuzzy numbers. The determination of the weight vector of criteria is stated as a fuzzy group decision-making problem and determined by using the fuzzy best-worst method. The proposed fuzzy multi-objective optimization by ratio analysis is implemented for determining the rank of enterprises. The management initiatives that should lead to the improvement of business excellence should be based on the business practices of enterprises that are highly placed in the rank. Testing and verification of the proposed model are performed on real data originating from enterprises operating in the same economic sector.

The paper highlights the importance of strengthening the country's innovative potential due to it's economic prosperity. Also the paper points out to the importance of application an appropriate metrics for assessing the effectiveness of the national innovation systems and innovation policies. In addition, the Serbia`s innovation profile was presented, through the analysis of innovation potential indicators as the factors that affect how new products, services and processes are generated, developed and implemented. Based on this analysis, proposals have been put forward for strengthening the innovation potential of Serbia and creating conditions in which organizations across the country can successfully innovate.