Innovative Strategies of the Turkestan Music and Drama Theater

The general theme of the international round table “Innovative and multimedia research in modern theater art”, organized by the departments of theater studies and scenography of T. K. Zhurgenov Kazakh National Academy of Arts, the main topic of which was the resonant premiere of the play Borte by Dulat Issabekov, which raised a wide range of ideas and topical issues. The purpose of this event was to comprehend the problems of innovations in the Kazakh theater in the era of digital technologies. The discussion was attended by a director of the Turkestan Music and Drama Theater Ainur Kopbassarova, a stage director Carlo Shakkaluga, prominent theatrical figures of the republic, directors, heads of regional theaters, actors, set designers, teachers, students of the academy and the capital's university of arts. The methodology basis in the discussion of innovative events taking place in the Kazakh theater were empirical, general scientific and private scientific methods of understanding new approaches in work on a production of a play, on the example of the performance of “Borte”. The study underwent cardinal changes in the theater's performance and production policy, starting with selection of actors who were invited from different theaters of Kazakhstan, to introduction of expensive innovative technical stage equipment. As a result of discussing the problems of introducing innovations in the Kazakh theater, a number of objective constraining factors were identified, such as obsolete technical equipment and stage machinery, etc. Particular attention was paid to the issues of profitability of theatrical production, adaptation methods and operation of specialized technical devices, fundamentally new approaches in selection of actors for the role. During the discussion of the principles of organizing work on the release of a new performance, it was noted that leadership of the Turkestan Theater had successfully introduced new generation technologies in the shortest possible time. Moreover, a fundamentally new algorithm for operation of the stage part of the theater was developed, an extraordinary model for managing production workshops of the theater, technical and technological spectrum of combining innovative methods and techniques in the space of one performance has been expanded.

PROSPECTS FOR THE DEVELOPMENT OF LEAN GOVERNMENT IN A REGION

The introduction of "lean manufacturing" practices in the public sphere is attracting more and more attention today. Initially, the introduction of the principles of "lean production" was carried out at the level of regions, which began to understand the need for this phenomenon, on their own initiative. Since 2017, the streamlining of this process has already begun at the federal level. The main incentive for the development of the "lean production" policy at all levels of management was the Decree of the President of the Russian Federation dated May 7, 2018 "On national goals and strategic tasks for the development of the Russian Federation for the period up to 2024". To date, we can already talk about the success of the implementation of such projects as "Lean Polyclinic" and "Lean Region". The issues of improving the efficiency of public and private sector organizations, improving the management system are relevant for the Russian Federation as a whole and for the Chuvash Republic in particular, taking into account the priorities of the republic's development, which provide for economic diversification, increasing the competitiveness of products and turning Chuvash Republic into an innovative region. The strategic goal of the region is the formation of a culture of lean production among all participants in economic relations. The paper considers the main issues of the development and implementation of the strategy of lean production and management in the system of state and municipal administration.

Push/Pull Parts Production Policy Optimization in the ATO Environment

Within the Assembly to Order (ATO) production strategy, the common approach is to produce the parts to assemble with a Push-Make to Stock policy.In recent decades, the effects of the modern Just in Time (JIT) moved to a Pull-Make to Order policy. Assembled parts characterized by wide variety and huge storage space utilization are critical, and a proper Push/Pull production policy definition is required. An appropriate balance of storage space utilization and setup times leads to the optimization of the production policy. The aim of this paper is to define a bi-objective mathematical optimization model to assign the most suitable production policy to the parts within the production mix in an ATO industrial context. A numerical simulation and an operative case study showcases the model application, proving the industrial relevance of this research.

Research and Application of a Novel Nonlinear Grey Bernoulli Simpson Model for Short-Term Coke Production Forecasting

Aims: As a basic energy source, coal occupies a leading position in the production and consumption of energy. If a reasonable coal energy production policy is to be formulated, effective forecasting is essential. Due to the lack of data, effective prediction with small samples has become the key to research. Study Design: A nonlinear grey Bernoulli Simpson model based on new information priority accumulation method is developed in this work to forecast the coke production in the Anhui China. The introduction of non-linear parameters makes the new model constructed with universality Place and Duration of Study: School of Science, Southwest University of Science and Technology, Mianyang, between April 2021 and June 2021. Methodology: This paper has established the nonlinear grey Bernoulli Simpson model with new information priority accumulation. Based on the grid search optimization, the data is divided by the leave-out method to construct a nonlinear problem to solve the nonlinear parameters of the model. Finally, the new model established was applied to the forecast of coke production in Anhui Province, China. Results: The MAPE and RMSPE of the nonlinear grey Bernoulli Simpson model based on new information priority accumulation method are 1.86% and 2.58%, which are lower than other comparative models. Conclusion: The application research of coke production shows that the new model proposed in this paper has the advantage of high prediction accuracy, which indicates that this method has great potential in the short-term prediction of energy production.

Modelling Green Production Process in the Natural Dyes Batik Industry Using Cleaner Production Options

Sustainable production policy has encouraged batik industry to switch synthetic dyes to natural dyes. However, the production process still brings negative impacts on the environment as well as on humans. In order to solve this problem, the batik industry needs to develop green production model using cleaner production options. The purpose of this research is to design green production model for greening the natural dyes batik industry. The research was conducted in the natural dyes batik industry “Mbah Guru”. Mbah Guru batik industry is located in Lamongan, East Java. The research used a feasibility study by using Pay Back Period (PBP). The last decision making of cleaner production options was used Bayes Method to assess and determine cleaner production options based on technical, economical, and environmental aspects. The result showed that all of cleaner production options are feasible. "Fertilizer making from natural dyes" had the shortest payback period of 0,057 years and "two steps washing for all washing processes" had the longest payback period of 0,92 years. The highest criterion weight was the environmental aspect of 0.41 and followed by the economical aspect of 0.35. “Natural dyes wastewater reusing” became the most priority of the cleaner production options. The batik industry will be more profitable if it is able to properly implement the recommended process improvements so that the negative impacts, both the environment and on humans, can be minimized.