The Conversion of Waste CO2 to Intermediated Petrochemical Product

The article considers the level of development of the petrochemical industry in Russia, the range of products, and the volume of its production. Petrochemical product range manufactured by various oil, gas and petrochemical companies in Russia is described. The analysis of problems in the Russian petrochemical industry, a comparison of its range and production volumes with indicators of developed countries is carried out. The prospects for the development of petrochemical chemistry in Russia were discussed.

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Research on R&D Cooperation of Petrochemical Enterprise Based on Game Theory

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.2257 ◽

2011 ◽

Vol 71-78 ◽

pp. 2257-2261

Author(s):

Wen Fang Tan ◽

Biao Zhang

Keyword(s):

Game Theory ◽

Product Development ◽

Dominant Strategy ◽

Payoff Matrix ◽

Mutual Trust ◽

Development Costs ◽

Petrochemical Enterprise ◽

Petrochemical Product

In this paper, it is researched the cooperated R&D problem in new petrochemical product development for petrochemical enterprise. Based on game theory, a cooperated R&D game theory is established. Given the payoff matrix and the strategy set of this model, and it is analyzed the game process of the two players and the dominant strategy. For the reasons of high development costs, great failure loss, individual limited rationality and lack mutual trust, this dominant strategy cannot be achieved in practice. This paper also provides us a pattern for analyze the cooperated R&D between enterprises and institute.

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Selecting an Appropriate Strategy to Increase Petrochemical Product Sales (Case Study: Iranian Petrochemical Industry)

Business and Management Studies ◽

10.11114/bms.v3i1.2247 ◽

2017 ◽

Vol 3 (3) ◽

pp. 42 ◽

Cited By ~ 2

Author(s):

H. Esmaeili Shahmirzadi

Keyword(s):

Product Development ◽

Added Value ◽

Grand Strategy ◽

Market Development ◽

Market Penetration ◽

Statistical Population ◽

Factors Affecting ◽

Swot Matrix ◽

Petrochemical Product ◽

Product Sales

This article aims to find the best strategies which help increase petrochemical products sales in Iran using multivariate regression model, Grand Strategy Matrix (GSM), and SWOT matrix. Market Development, Market Penetration, Product Development by creating and developing chemical cities or parks, petro-chemical refineries, and Especial Economic Zones, Vertical Integration, and Concentric Diversification with Diverse Portfolio were considered independent variables, while Increasing Petrochemical Product Sales is dependent variable. Then, each of above mentioned factors affecting the sales were ranked in order to take advantage of the highest added-value. The statistical population consisted of 140 experts, managers, directors, and customers involved in National Iranian Gas Company and Iran Petrochemical Company. Random sampling method was employed. A total of 57experts, managers, directors, and customers were enrolled as sample size. Data were collected using a five-option Likert scale questionnaire. SPSS, Grand Strategy Matrix (GSM), and SWOT[1] matrix were employed to analyze the data. According to the Cronbach's alpha (0.86), the reliability was verified. Market Development, Market Penetration, Product Development, and Concentric Diversification with Diverse Portfolio were found to be suitable offensive strategies to increase the petrochemical product sales. Product Development and Market Penetration are the most effective factors in increasing the petrochemical product sales. Therefore, they need to be taken into account. [1]Strength, Weakness, Opportunity, Threats

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LOGICAL AND INFORMATION MODEL OF MANAGEMENT OF PROCESSES OF «SMART» PRODUCTION

Izvestiya of Samara Scientific Center of the Russian Academy of Sciences ◽

10.37313/1990-5378-2021-23-2-29-36 ◽

2021 ◽

Vol 23 (2) ◽

pp. 29-36

Author(s):

R.K. Nurgaliev ◽

◽

A.I. Shinkevich ◽

Keyword(s):

Sustainable Development ◽

Information And Communication Technologies ◽

Production Efficiency ◽

Process Management ◽

General Scheme ◽

Information Model ◽

Practical Significance ◽

The Sustainable Development ◽

Industrial Enterprises ◽

Petrochemical Product

The article presents a study of the specifics of «smart» production, the positive effect of which is certainly recognized by industrial enterprises. This means increasing production efficiency, ensuring the reliability, stability and safety of technological systems, and reducing the burden on the environment. In the context of the digital transformation of the industry, new opportunities are opening up to achieve this effect. In this regard, it is important to model the processes of «smart» production, the decomposition of the control system of mechanisms and tools. The purpose of the study is to build a logical and information model that reflects the specifics of managing the processes of «smart» production. The research methods used are comparative analysis (in the context of industries and territories); formalization, which clearly presents information about the management of «smart» production processes in the form of schemes and models; mathematical and statistical methods that underlie cluster analysis. As a result of the study, the following results were obtained: the general scheme of «smart» production was formalized, taking into account the processes of obtaining a petrochemical product, control actions, mechanisms and necessary resources, taking into account the guidelines for sustainable development; the typology of Russian regions, depending on the level of intellectualization of production, was identified according to the signs of the activity of organizations in terms of the use of information and communication technologies for the automation of processes and design: regions with low, medium and high activity of intellectualization of production; A logical and information model of managing the processes of «smart» production is proposed, covering the stages of integration and operation of digital technologies, production assets of industrial enterprises and personnel support, which differs in the object of modeling and systematically describes the functioning of intelligent production. The practical significance of the results is due to the possibility of competent process management in the context of the implementation of digital solutions and the sustainable development of industry.

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