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    Investment cost optimization for industrial project portfolios using technology mining

    , Article Technological Forecasting and Social Change ; Volume 138 , 2019 , Pages 243-253 ; 00401625 (ISSN) Azimi, S ; Rahmani, R ; Fateh rad, M ; Sharif University of Technology
    Elsevier Inc  2019
    Large technology-intensive enterprises and companies face a constant challenge: How can a set of selected high-tech projects get done in a manner that would minimize the total cost across all projects? In majority of cases, projects are assumed independent, leading to a separate cost evaluation. This assumption often does not hold for real-world project portfolios, frequently sharing overlapping technologies. In this paper, we show how the order of the execution of the projects can directly affect the total cost of the portfolio, due to shared dependencies. Modeling the problems in this area can be achieved by combining two main fields: graph theory and technology mining. A novel method is... 

    Discovering associations among technologies using neural networks for tech-mining

    , Article IEEE Transactions on Engineering Management ; 2020 Azimi, S ; Veisi, H ; Fateh rad, M ; Rahmani, R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    In both public and private sectors, critical technology-based tasks, such as innovation, forecasting, and road-mapping, are faced with unmanageable complexity due to the ever-expanding web of technologies which can range into thousands. This context cannot be easily handled manually or with efficient speed. However, more precise and insightful answers are expected. These answers are the fundamental challenge addressed by tech-mining. For tech-mining, discovering the associations among them is a critical task. These associations are used to form a weighted directed graph of technologies called “association tech-graph” which is used for technology development, trend analysis, policymaking,...