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    Fuzzy extended earned value management: A novel perspective

    , Article Journal of Intelligent and Fuzzy Systems ; Vol. 27, issue. 3 , 2014 , pp. 1393-1406 ; ISSN: 10641246 Salari, M ; Bagherpour, M ; Kamyabniya, A ; Sharif University of Technology
    Abstract
    In project management context, the Earned Value Management (EVM) is a well-known technique. Despite its popularity, the standard EVM suffers from the absence of some features that require being focused further on to make this method more efficient. This paper is addressing such features specifically the financial aspects of cost control system. These aspects that have been absent in the standard EVM include the time value of money, delay in client payment and contractor cash flow in uncertain environment. The proposed model here utilizes fuzzy sets to deal with the uncertain conditions of real projects. It attempts to extend the theoretical framework of EVM to evaluate and control the... 

    An optimal natural-gas network using minimum spanning tree

    , Article 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010, 25 July 2010 through 28 July 2010 ; July , 2010 ; 9781424472956 (ISBN) Mahdavi, I ; Mohajeri, A ; Arabmaghsudi, M ; Yahyanejad, M. H ; Taghipourian, F ; Mahdavi Amiri, N ; Sharif University of Technology
    2010
    Abstract
    We consider the design of an optimal natural-gas network. Our proposed network contains two echelons, Town Broad Stations (TBSs), and consumers (demand zones). Here, our aim is a two-stage cost minimization. We first determine locations of the TBS so that the location-allocation cost is minimized. Then, we show how to distribute the flow of gas among the TBS minimizing the flow cost by using Minimum Spanning Tree (MST). A case study in Mazandaran Gas Company in Iran is made to assess the validity and effectiveness of our proposed model  

    Cost and entropy generation minimization of a cross-flow plate fin heat exchanger using multi-objective genetic algorithm

    , Article Journal of Heat Transfer ; Volume 133, Issue 2 , Nov , 2011 ; 00221481 (ISSN) Ahmadi, P ; Hajabdollahi, H ; Dincer, I ; Sharif University of Technology
    2011
    Abstract
    In the present work, a thermal modeling is conducted for optimal design of compact heat exchangers in order to minimize cost and entropy generation. In this regard, an εNTU method is applied for estimation of the heat exchanger pressure drop, as well as effectiveness. Fin pitch, fin height, fin offset length, cold stream flow length, no-flow length, and hot stream flow length are considered as six decision variables. Fast and elitist nondominated sorting genetic algorithm (i.e., nondominated sorting genetic algorithm II) is applied to minimize the entropy generation units and the total annual cost (sum of initial investment and operating and maintenance costs) simultaneously. The results for...