В выпускной квалификационной работе рассматриваются теоретические аспекты повышения вовлеченности сотрудников в процессы перехода компании на бережливые технологии, проанализированы и оценены результаты внедрения практик бережливого производства на российских предприятиях, по результатам исследования разрабатывается методический подход для повышения вовлеченности сотрудников в процессы перехода компании на бережливые технологии. В рамках исследования предлагается проект по созданию авторской маркетинговой системы «бережливого отношения» компании к сотрудникам, включающую в себя основные аспекты, имеющие значение для сотрудников. / In the final qualification work, the theoretical aspects of increasing the involvement of employees in the processes of the company's transition to lean technologies are considered, the results of the implementation of lean manufacturing practices in Russian enterprises are analyzed and evaluated, based on the results of the study, a methodological approach is developed to increase the involvement of employees in the processes of the company's transition to lean technologies. As part of the study, a project is proposed to create an author's marketing system of the company's "lean attitude" towards employees, which includes the main aspects that are important for employees.

In neural implants and biohybrid research systems, the integration of electrode recording and stimulation front-ends with pre-processing circuitry promises a drastic increase in real-time capabilities [1,6]. In our proposed neural recording system, constant sampling with a bandwidth of 9.8kHz yields 6.73μV input-referred noise (IRN) at a power-per-channel of 0.34μW for the time-continuous ΔΣ−modulator, and 0.52μW for the digital filters and spike detectors. We introduce dynamic current/bandwidth selection at the ΔΣ and digital filter to reduce recording bandwidth at the absence of spikes (i.e. local field potentials). This is controlled by a two-level spike detection and adjusted by adaptive threshold estimation (ATE). Dynamic bandwidth selection reduces power by 53.7%, increasing the available channel count at a low heat dissipation. Adaptive back-gate voltage tuning (ABGVT) compensates for PVT variation in subthreshold circuits. This allows 1.8V input/output (IO) devices to operate at 0.4V supply voltage robustly. The proposed 64-channel neural recording system moreover includes a 16-channel adaptive compression engine (ACE) and an 8-channel on-chip current stimulator at 3.3V. The stimulator supports field-shaping approaches, promising increased selectivity in future research.

Premature loss of capacity, mode of partial charge, additives, negative electrode, lead acid battery, lead-acid battery cycling, hybrid electric vehicle, traction battery, ebonex, titanium dioxide