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Understanding the Front-end of Large-scale Engineering Programs
Author(s) -
Sebastian Lucae,
Eric Rebentisch,
Josef Oehmen
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.03.079
Subject(s) - computer science , front (military) , front and back ends , sociotechnical system , scale (ratio) , risk analysis (engineering) , engineering management , operations research , systems engineering , knowledge management , business , mechanical engineering , physics , quantum mechanics , engineering , operating system
Large engineering programs like sociotechnical infrastructure constructions of airports, plant constructions, or the development of radically innovative, high-tech industrial products such as electric vehicles or aircraft are affected by a number of serious risks, and subsequently commonly suffer from large cost overruns. Significant problems in program execution can be traced back to practices performed, or more frequently not performed, in the so-called “fuzzy front end” of the program. The lack of sufficient and effective efforts in the early stages of a program can result in unstable, unclear and incomplete requirements, unclear roles and responsibilities within the program organization, insufficient planning, and unproductive tensions between program management and systems engineering.This study intends to clarify the importance of up-front planning to improve program performance, to propose a model for the front-end of large-scale engineering programs based on a review of existing, suitable models in literature and to better understand the complexity drivers that are impeding reliable planning and common planning mistakes made in large-scale engineering programs

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