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Titlebook: Cost Estimating and Analysis; Balancing Technology Thomas R. Gulledge,William P. Hutzler,Joan S. Love Conference proceedings 1992 Springer-

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發(fā)表于 2025-3-21 18:48:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Cost Estimating and Analysis
副標(biāo)題Balancing Technology
編輯Thomas R. Gulledge,William P. Hutzler,Joan S. Love
視頻videohttp://file.papertrans.cn/239/238983/238983.mp4
圖書(shū)封面Titlebook: Cost Estimating and Analysis; Balancing Technology Thomas R. Gulledge,William P. Hutzler,Joan S. Love Conference proceedings 1992 Springer-
描述Cost analysis and estimating is a vital part of the running of all organizations, both commercial and government. This volume comprises the proceedings of the 1992 conference of the Society for Cost Estimating and Analysis. Individual chapters are written by experts in their respective fields. Consequently, the volume as a whole provides an invaluable and up-to-date survey of the field.
出版日期Conference proceedings 1992
關(guān)鍵詞development; integration; linear optimization; management; organization; organizations; planning; productio
版次1
doihttps://doi.org/10.1007/978-1-4612-2936-0
isbn_softcover978-1-4612-7727-9
isbn_ebook978-1-4612-2936-0
copyrightSpringer-Verlag New York, Inc. 1992
The information of publication is updating

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The Production Rate Impact Model: IRATEss involves a steepening of the assembly’s CIC slope, which is experienced in parallel with or after the installation of all non-recurring items, (e.g., new setups, tool investments, facilities, process changes), specifically added for the higher production rate program. The IRATE effect abstracts t
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發(fā)表于 2025-3-22 01:59:02 | 只看該作者
A Bang-Bang Approximation to the Solution of a Learning Augmented Planning Modelr time in some systematic way. We call this situation made-to-order production. Aircraft production is a good example. We derive the time path of planned resource use and demonstrate how to obtain approximate solutions for these optimal trajectories. The use of the approximation avoids a “messy” non
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The Software Development Effort Estimation Exponent: An Effort Estimation Model Accounting for Learnn of the form y = ax°, which relates the effort to the lines of code, or size of a program, exponentially through a constant, e. That constant, e, the effort estimation exponent, has been referred to as an entropy constant by Randall Jensen. and is the subject of many analyses, both theoretical and
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Software Cost Estimating Models: A Calibration, Validation, and Comparisonand COSTMODL. A historical database was obtained from Space Systems Division, in Los Angeles, and used as the input data. Two software environments were selected, one used to calibrate and validate the models, and the other to show the performance of the models outside their environment of calibrati
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The Complete COCOMO Model: Basic, Intermediate, Detailed, and Incremental Versions for the Original,xistence of the Constructive COst MOdel (COCOMO) User’s Group (CUG) has served to maintain the needed information exchange and to be the vehicle for subsequent updates to the COCOMO model (by Dr. Boehm). Its public acceptance is a matter of record. The Software Engineering Institute (SEI) has served
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Cost Analysis of Prototyping Major Weapons Systemsghly-publicized cost and schedule overruns that have plagued defense programs. Since the 1960s, the Defense Department and defense contractors have pioneered reviews and management initiatives to improve program outcomes. IDA reviewed program outcomes to determine whether there is a trend toward bet
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Cost Estimating Relations for Space-Based Battle Management, Command, Control, and Communications SyBM/C.) architectures..Data on twenty-eight BM/C. communications systems were collected, and a common Cost Work Breakdown Structure (WBS) was devised to eliminate cost accounting disparities among these architectures and organize the data into a single database..The data were subjected to statistical
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