The formation of a balanced system of parameters (budget; duration of implementation; customers and developers' satisfaction with the results of the project the course of the project) is a critical factor in the successful implementation of the project. Development of the formal models, which described the direct and cross-linking relationship between the input (budget, implementation time) and output (customer and developer satisfaction) parameters of the project creates the conditions for increasing the validity of decisions related to the project organization. The feature of empirical models constructing is the need to share actual (historical) data about budgets and the previously implemented projects duration, and subjective estimates (determined by experience) of consumers and developers. The paper considers the approach for the construction of parametric regression models based on the joint use of measured data and expert estimates. The additive or multiplicative form of interaction of direct and cross-linking relationship is substantiated, this depend on which target group (consumers or developers) are assigned the outputs of a multivariable object.

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Formation of characteristic balanced system of program project is a critical factor in the successful implementation of the project. This paper describes the formal procedure for evaluating the budget and project duration values, that provide the best correlation between customer satisfaction of project results and project actors. The project is presented as a multivariable control object. Empirical functional dependencies correspond to direct and cross-linking of multivariable object. The feature of empirical models constructing is the need to share actual (historical) data about budgets and the previously implemented projects duration, and subjective estimates (determined by experience) of consumers and developers. An original approach is used to build the empirical models that correspond to direct and cross-links of multivariable object based on the joint use of expert estimates and historical measurement data of various volumes corresponding to previously implemented projects. The proposed approach makes it possible to increase the validity of decisions about the reasonableness of project implementation, taking into account the potential of the implementing organization, budget restrictions and project duration. The proposed procedure is formalized, this allows us to get stable estimates of the project characteristics.

Currently, the problem of organizing a municipal solid waste management system (MSW) has become more acute in Russian regions and all over the world. Various environmental and economic problems, as well as problems related to public health negatively affect many aspects of the development of modern society. Therefore, the careful organization of the management of the MSW management system is of great social importance and needs constant improvement. In this paper, we look at the MSW management system from the point of various scientific approaches, namely, structural analysis methods, geoinformation technology methods, reliability theory for complex technical systems, evergetics, graph theory and fuzzy logic methods, including the apparatus of linguistic variables. The purpose of the work is to show the possibility of application and systematic combination of the above scientific methods that have proven themselves well in their fields to a new area of the MSW management systems. However, just application of these approaches is impossible without their further adaptation and systematization from the point of view of existing approaches to the management of similar systems. As part of this study, elements of the MSW management system were identified and a topological model of the system was developed. Structural-logical models of reliability at various levels of abstraction were also built.

At present, the quality of information support for management is becoming a critical factor in the implementation of the provisions of the Industry 4.0 doctrine, due to which the need to improve the theoretical provisions for managing organizational defects in the implementation of projects for creating hardware and software components of the digital ecoenvironment becomes especially significant. The paper considers a formal model that creates the basis for the formation of a balanced system of the main characteristics of the project, for the case when satisfaction with the properties of the product on the part of the customer and satisfaction with the progress of the project on the part of the contractor are equally important. The basis for the formation of a balanced system of project characteristics is its consideration as a static multi-connected control object. Empirical functional dependencies correspond to direct and cross connections between the input and output parameters of the object. A feature of constructing empirical models is the use of both actual data on budgets and the duration of previously implemented projects, and subjective expert assessments of project participants. The procedure for forming a balanced system of project characteristics is formalized, which makes it possible to automate it. The proposed approach makes it possible to increase the validity of decisions on the feasibility of implementing the project by the forces of the proposed contractor, taking into account the priority of the budget and the duration of the project for the customer.