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DEVELOPMENT OF A SYSTEM OF SHEDULING AND NETWORK PLANNING OF PROJECTS OF COAL INDUSTRY ENTERPRISES: THE EXAMPLE OF «ATOMENERGOPROEKT» JSC; [Разработка системы календарно-сетевого планирования проектов предприятий угольной промышленности: опыт АО «Атомэнергопроект»], namely, to significantly increase the level of decision-making and ensure the effective functioning

Teaching communication skills and decision-making to university students method of the given problem under study is the method of psychological-pedagogical experiment, which

On the Performance of Spectrum Handoff Framework for Next-generation 5G Networks quality of service (QoS) level. Inspired by this, we propose a decision making model considering several

On the performance of spectrum handoff framework for next-generation 5G networks quality of service (QoS) level. Inspired by this, we propose a decision making model considering several

Modeling of spectrum handoff in 3GPP LTE-A indoor deployment somewhere else. Inspired by this, we propose a decision making model considering several SUs attributes

Baikal region (Russia) development prospects based on the green economy principles. We constructed the forecast using the artificial neural networks method, and we assessed the possible

Влияние современных технологий на процесс принятия стратегических решений in the process of making managerial decisions in strategic management, where the processes of significant

Концептуальные основы принятия эффективных управленческих решений в области оценки инновационных проектов for making management decisions in the field of evaluating innovative projects, as well as methods

Geomarketing as decision-making tool for a catering establishment placement.Geographical marketing gradually takes root into the business industry of Russia. At the moment methods of geo marketing

Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints that the joint decision-making can effectively reduce the time cost of manufacturing enterprises. © 2022 Elsevier

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