The competitiveness of an enterprise is largely determined by the quality and quantity of labor, invested in the manufacture of products. Sustainable development is based on increasing labor productivity, reducing costs and effectivization of the enterprise. Economic damage of workers’ loss of labor capacity as a result of exposure to hazardous production factors (HPF)in Russia is growing. Industrialized countries experience demonstrates that harmful work-related exposure and high occurrence rate of industrial injuries cannot be satellites of prosperous business, as they cause eyewatering enterprise losses. In foreign scientific works the influence of workplace environment on the enterprise economic conditions is given considerable attention. They consider the impact of HPF and workplace ergonomics on workforce productivity; methods for estimating the costs, connected with occupational injuries; models for optimizing workmen’s safety costs[1], [5], [6], [8– ۱۲], [۱۴–۱۷], [۱۹]. An advanced technique for assessing production risks today is fuzzy-multiple modeling [1], [16], [20], [21]. Various approaches to assess the industrial injury risk [2], [4] and to calculate the subsequent enterprise costs [3], [13], [18] are described in Russian scientific papers, but an integrated approach is needed. The scientific literature has failed to provide Occupational Health and Safety stakeholders with a cost-calculation tool that is both sufficiently accurate and does not require a data-collection stage ill-suited to the time constraints of workplace decision-makers [5]. This is due to the complexity of production risk mathematical assessment, because most of its constituent characteristics are traditionally given in non-numerical form. This obstacle can be overcome by methods of fuzzy logic [7]. In this paper, an approach, based on Mamdani’s fuzzy inference method, that makes it possible to give an economic assessment of the risks associated with industrial injuries, is considered.