Implementing asset data management in power companies
Purpose – The purpose of this paper is to design a framework for asset data management in power companies. The authors consider asset data management from a strategic perspective, linking operational-level data with corporate strategy and taking into account the organizational context and stakeholder expectations. Design/methodology/approach – The authors conducted a multiple case study based on a literature review and three series of in-depth interviews with experts from three Russian electric power companies.
Findings – The main challenge in asset data management for electric power companies is the increasing amount and complexity of asset data, which is frequently incomplete or inaccurately collected, hard to translate to managerial language, focused primarily on the operational level. Such fragmented approach negatively affects strategic decision-making. The proposed framework introduces a holistic approach, provides context and accountability for decision-making and attributes data flows, roles and responsibilities to different management levels.
Research limitations/implications – The limitations of our study lie in the exploratory nature of case study research and limited generalization of the observed cases. However, the authors used multiple sources of evidence to ensure validity and generalization of the results. This article is a first step toward further understanding of the issues of transformation in power companies and other asset intensive businesses. Originality/value – The novelty of the framework lies in the scope, focus and detailed treatment of asset data management in electric power companies.
The article explores the possibility of implementing systems approach in order to describe the process of value creation through asset management in electric utility companies. The author outlines the key challenges existing in the power industry nowadays. Then, the main problems regarding asset management in the dynamic environment are emphasized. The author describes the current state of research in the field and highlights the significance of value based asset management. The possibility of implementing the basic principles of systems approach in relation to asset management in electric utility companies is analyzed. As a result the author proposes a model that describes the process of value creation throughout the asset management system from the systems approach perspective.
The paper provides the target model for innovative ecosystem of Russian power industry. The system is based upon the key attributes of the ecosystem, which were revealed within the theoretical part of the paper: limited state intervention, free interaction of the participants and the availability of proper infrastructure. At the same time the proposed target model provides a solution for the current problems of existing prototypes of ecosystem in the Russian power industry via integrating the key actors with the focus on delivering added value to the end user.
The paper examines the current state of collaborations within the “Intellectual Energy System of Russia” technological platform. Conducted analysis of interfirm collaborations’ theoretical background revealed the place of network forms within the modern practices. In particular, the paper examines the key forms of such cooperation, as well as the motives for the firms to participate. Extra attention was paid to the innovations creation within the networks, as a basis for sustainable development of economic agents. Within the analysis of networks collaborations main attributes and indicators were revealed, based in which IESR was analyzed. The paper detects the key problems of this technological platform and highlights the key track for the further research
We gladly invite both Academic and Industrial community to submit top quality Research papers and Industrial case presentations related to engineering, operations, and management of Engineering assets and Public infrastructures.
This call for Research papers and Industry presentations aims at drawing diverse industry wide and top Research expertise that can stimulate fresh discussions and views, create innovative ideas, and explore smart solutions. The WCEAM-2018 Congress will cover a range of Technical themes that has a direct connection to your passion, professional interest, and expertise. Those areas are of interest to Asset owners, Operators, Producers, Technology developers, Service providers, Public institutions, and the Academic & Research community.
We also cover a wide range of Industrial and Public sectors, inclusive of; Oil & Gas, Refining industry, Nuclear, Hydropower, Renewable Energy, Ocean & Maritime sector, Mining, Public Infrastructures and Land transportation, Green Manufacturing, Process industry, Engineering structures and Buildings, Construction sector, Healthcare Systems, Aeronautics and Aerospace, Information and Telecommunication sector. We actively encourage those who have top expertise on specific Technical themes to deliver a workshop, seminar, training activity, or a round table session at the Congress. If you are keen, we will be excited to hear from you. All Abstracts, Papers, and Presentations will be reviewed by the International Scientific Committee of the Congress for inclusion in the Congress Proceedings. Selected research and thought-leading industry papers will be peer reviewed, and if accepted will be published in the Springer ebook after the event titled, “Engineering assets and Public infrastructures in the Age of Digitalization” and subtitled, “Proceedings of the 13th World Congress on Engineering Asset Management”. The Springer ebook series is indexed by Scopus and is also currently being assessed for inclusion in EI Compendex. Past proceedings are available on the Springerlink web site.
Industry cases and Projects
We strongly encourage Industry presentations from the Public and Private sector based on real Industrial Projects and Business cases.
Congress Topics and streams
Asset management in industry 4.0: Smart Factory, Cyber-physical Systems, Virtual Factory, Virtual and Augmented Reality, Cloud-based solutions, Machine learning
Modern digital applications: Advanced ICTs, Big Data Analytics, Intelligent decision support, Algorithms for Performacne optimization, Industrial informatics, Signal processing, Robotics and Automation, Mechatronics, Smart sensors and Instruments
Dynamic modeling, simulation and visualization: Modelling of Business & Operational Processes, Multiagent tenhnologies, 3D technologies, Visualization techniques
Smarter and safer assets: Digital risk, Safety, Security, Reliability, Resilience Engineering, Barrier design and management, Human-Technology interface, Risk analysis and management, Data integration and Interoperability
Asset economics and decision analysis: Financial risks, Asset investments, Life cycle costing, Beyond budgeting, Decision analysis
Critical asset processes: Spare-parts and Warehousing, Innovative logistics, Supply chain optimization, Production planning, Quality control, Maitenance, Operations, Remote support, Collaborative work processess
Asset health: Tools and technologies for equipment and structural health assessment, Diagnostics and Prognostics, Technical and operational integrity, Pattern recognition, e-Maintenance, Inspection techniques, Fault and Failure analysis
Co-value creation: Service innovation, Service integration, Project engineering and management, Contract strategies and Contract management, B2B partnerships, Change management, Customer relationships
Sustainable assets and processes: Energy efficiency, Regulations and Standards, Legal aspects, Environmental technologies, Eco-efficiency, Carbon foot-print, Managing stakeholders
Human capital and organizational development: Competence management, Education and Training, Managing work place diversity, Modern leadership
Performance measurement and management: KPI design and implementation, Performance optimization methods and techniques, Benchmarking, Learning and Continuous improvement
The paper traces the history of the three population microcensuses held in Russia in 1985, 1994 and 2015, highlighting their methodological, technological and perational aspects, as well the questionnaire’s design. Given that the microcensuses provide more data in terms of new topics than conventional decennial population and housing censuses, this article focuses on the main research findings based on microcensus data. A closer look is taken at the 2015 population microcensus, as it has peculiarities in terms of sample size and design, as well as at the content of the census questionnaires. Deviations of the regional-territorial structure of the sample from the permanent population of Russia are revealed.It is shown that the representativeness of the data for the whole country is distorted, and the socio-demographic and geographical characteristics of the population are also biased due to the considerable variability of the sample size by regions of Russia. A comparison of the size and structure of the population according to the 2015 microcensus with data from vital statistics and population censuses, together with an estimate of age heaping, indicates serious problems with the data quality of the microcensus and the presence of typical errors common to conventional population censuses. Attention is focused on a shifting of the age structure of the population to older ages according to the 2015 microcensus, which could affect figures on education, economic activity, morbidity, disability, the demographic composition of households and other variables closely related with age.
This paper is devoted to the analysis of challenges and opportunities that emerge from the process of digital transformation in electric utilities. It presents a part of an ongoing study on asset management in electric utilities. Increasing demand for electricity and technological advancement are one of the main factors stimulating digital transformation both in developing and advanced economies. While digital transformation implies high costs and long-term investments, electric utilities can benefit significantly during this process. We propose a theoretical model of value creation in the process of digital transformation with the use of the Porter’s value chain framework. It turns out that generation, transmission and distribution, and retail companies seem to have opportunities to capture significant value form digitalization.
портовый менеджмент, показатели деятельности, анализ эффективности, система учета, распределение издержек, методы анализа деятельности портовой системы
At present many industries reveal tendency for setting up of vertically integrated companies (VIC) the structure of which unites all technological processes. This tendency proved its efficiency in oil industry where coordination of all successive stages of technological process, namely, oil prospecting and production -oil transportation - oil processing - oil chemistry - oil products and oil chemicals marketing, is necessary. The article considers specific features of introduction of "personnel management" module at enterprises of oil and gas industry.
vertically integrated companies; personnel management