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San Sebastián de los Reyes, Spain

Romero-Silva R.,Panamerican University of Mexico | Santos J.,Industrial Management | Hurtado M.,Panamerican University of Mexico
Production Planning and Control | Year: 2015

The aim of this paper is to present what we believe are the most relevant findings and results regarding practical scheduling in order to define practical production scheduling and create a framework that helps researchers to study the various topics that fall under the umbrella of practical production scheduling and to identify the current state of knowledge for each topic. Studies from different fields were analysed and included in this paper, contributing significant knowledge to build a definition of practical production scheduling. Finally, we discuss the applicability that scheduling, as a task, could have in real companies. © 2014 Taylor & Francis. Source


Zafarani E.,Islamic Azad University at Tabriz | Feizi-Derakhshi M.-R.,University of Tabriz | Asil H.,Islamic Azad University at Azarshahr | Asil A.,Industrial Management
3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010 | Year: 2010

Different methods have been presented to optimize the need to query processing optimization in databases. Reasons of these need increase the amount of data and the queries sent to the Database Management System. This article presents a multi agent system for heterogeneous distributed database by compiling two technologies of query processing optimization in database. This system is compatible of ordering adaptation and it is also flexible in adapting necessary changes as it progresses. In this system a new Algorithm based on modeling of users' long term requirements is used. In this system an Agent gathers data related to manner of users' usage from join in queries. Results of performances show that suggested Algorithm have high adaption ability with comparison to classic Algorithm. © 2010 IEEE. Source


Feizi-Derakhshi M.-R.,University of Tabriz | Asil H.,Islamic Azad University at Azarshahr | Asil A.,Industrial Management | Zafarani E.,Islamic Azad University at Tabriz
3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010 | Year: 2010

Different methods have been presented because of the needs to query processing optimization in databases. The reason of these needs is to increase the amount of data and the queries sent to the Database Management System. Even though there are various methods presented to optimize queries, the problem is that in most of these methods, the execution plan is deleted after the query is conducted. This study tries to provide a method that uses optimized execution plan obtained from executing a query for the next executions or executing a similar query in order to reduce time needed for executing queries. The method presented in this study has been tested on real practical software databases and the results shows 11% improvement. © 2010 Crown Copyright. Source


Zendeh A.B.,Islamic Azad University at Tabriz | Aali S.,Islamic Azad University at Tabriz | Norouzi D.,Industrial Management | Ahmadi M.A.J.,Business Management
Iranian Journal of Information Processing Management | Year: 2012

This study investigated the effect of environmental uncertainty on the selection of knowledge management strategies in the domain of product. However we investigated the effect of environmental uncertainty on the selection of knowledge detection strategies and knowledge revenue by testing three hypotheses. The statistical universe included chancellors and assistants of universities of Khorasan-e-Razavi that 28 universities and 48 repliers were selected as the sample of study. This study with the view of quarry was sort in applied researches and with the view of method was sort in causal researches. Hypotheses were tested by using regression model and results showed that environmental uncertainty had positive impact on knowledge detection strategies and knowledge revenue in domain of product. Also results cleared the role of knowledge management strategies in the domain of product and prepared perspectives to chancellors of universities to improve their education and research. Source


News Article
Site: http://phys.org/technology-news/

Rayko Toshev's doctoral thesis in Industrial Management "Risks and Prospects of Smart Electric Grids Systems measured with Real Options" analyses electricity price risk levels and evaluates smart grid R&D projects and technology opportunities, using real option pricing method. "My work analyses Nord Pool Spot electricity prices for Finland, Sweden Norway and Estonia and computes market risk level using standard financial measures, such as Volatility and Value at Risk", says Toshev. By using the risk metrics he outlines future scenarios for smart grid development and calculates real option values of technology projects. With dynamic pricing, provided from the power market and smart meters, installed by utility companies it is now possible for consumers to sell electricity back to the grid and trade it like a typical commodity. "Such new environment combined with advances in additive manufacturing creates lavish opportunities for technological innovations", he says. Toshev's work also aims to offer a better understanding of the present and future development of smart-grid technologies. He ponders the future scenarios of the market and discusses strategic planning. In his research Toshev used data collected from surveys, questionnaires and action research case studies to examine factors influencing companies' strategies. "Electricity price risk analysis showed decreasing volatility due to the establishment of Nord Pool Market and strong correlation among interconnected regions", he explains. According to Toshev, the process consists of performing historic and Monte Carlo simulations using Nord Pool Spot market price data and calculating the quantile of the distribution of profit and loss over a target horizon. Strategic analysis showed increased demand for flexibility in resource allocation. Toshev's work highlights the practicality of combining financial risk models with corporate strategies for market investors and company management. "Such combined framework helps mitigate the risk of new technology development projects", he says. According to Toshev, it also assists to formulate responses to likely and unlikely scenarios with multi-factor decision parameters. It also provides tools to achieve coherency among diverse strategies between smart grid stakeholders. Explore further: Smart grid development holds promise for U.S. jobs

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