Design Structure Matrix with Quality Equations

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Details

Design phase is characterized by highly coupled and interdependent activities, which result rework or iteration in the phase. In dealing with this problem, information flows have to be well organized therefore it can lead to the most optimum completion time. The Design Structure Matrix (DSM) is a compact matrix representation that models information flows among activities in the design phase. Previous DSM concepts used basic logic of faster and fewer iteration, while assuming the number of iteration occurred to achieve optimum completion time. This research proposed a new methodology that combined faster and fewer iteration concepts by adding other information, i.e. Quality Equations. Quality Equations will be performed in order to reduce the lack of assumption in determining the number of occurred iteration. Resource constraint and rare resource problems are also included in the research to bring the problem closer to reality. Genetic Algorithm (GA) is the methodology that will be used to help coordinate and optimize the activities structure in terms of minimizing completion time.

Autorentext

Daisy Suparman was born in Bandung in 1985. The authorobtained her bachelor degree in Civil Engineering from BandungInstitute of Technology. After completed her bachelordegree in 2007, the author received scholarship and continued hermaster degree in Construction Management at National TaiwanUniversity of Science and Technology.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 88
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 149g
    • Untertitel Concepts, Methods, Applications in scheduling problem with resource constraint and milestone
    • Autor Theresia Daisy Nattali Suparman
    • Titel Design Structure Matrix with Quality Equations
    • Veröffentlichung 16.09.2010
    • ISBN 3838395956
    • Format Kartonierter Einband
    • EAN 9783838395951
    • Jahr 2010
    • Größe H220mm x B150mm x T6mm
    • GTIN 09783838395951

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