PECULIARITY AND SIGNIFICANCE OF PRACTICAL USING OF FUNCTION-COST ANALYSIS, MODEL-BUILDING AT ENTERPRISES

10.12737/1454 ◽  
2013 ◽  
Vol 1 (1) ◽  
pp. 12-14
Author(s):  
Валентина Рыжова ◽  
Valentina Ryzhova
Keyword(s):  
Cost Analysis ◽  
Model Building ◽  
Analysis Model ◽  
Traditional Methods

The article represents significance of practical using of function-cost analysis as a method of increasing of competitiveness of investigating object. Unlike traditional methods and approach FCA has its principals being universal and effective. Ways of its improving are determined.

A cost-analysis model for anticoagulant treatment in the hospital setting

2014 ◽  
Vol 17 (7) ◽  
pp. 492-498 ◽  
Author(s):  
Samir H. Mody ◽  
Lynn Huynh ◽  
Daisy Y. Zhuo ◽  
Kevin N. Tran ◽  
Patrick Lefebvre ◽  
...  
Keyword(s):  
Cost Analysis ◽  
Hospital Setting ◽  
Anticoagulant Treatment ◽  
Analysis Model

An optimal scheduling policy for upgraded software with updates

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adarsh Anand ◽  
Subhrata Das ◽  
Mohini Agarwal ◽  
Shinji Inoue
Keyword(s):  
Cost Analysis ◽  
Optimization Model ◽  
Real Life ◽  
Economic Benefits ◽  
Release Time ◽  
Analysis Model ◽  
Content Type ◽  
Software Upgrades ◽  
Stop Time ◽  
Combined Use

PurposeIn the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software upgrades help in reinventing working software through major changes, like functionality addition, feature enhancement, structural changes, etc. In software updates, minor changes are undertaken which help in improving software performance by fixing bugs and security issues in the current version of the software. Through the current proposal, the authors wish to highlight the economic benefits of the combined use of upgrade and update service. A cost analysis model has been proposed for the same.Design/methodology/approachThe article discusses a cost analysis model highlighting the distinction between launch time and time to end the testing process. The number of bugs which have to be catered in each release has been determined which also consists of the count of latent bugs of previous version. Convolution theory has been utilized to incorporate the joint role of tester and user in bug detection into the model. The cost incurred in debugging process was determined. An optimization model was designed which considers the reliability and budget constraints while minimizing the total debugging cost. This optimization was used to determine the release time and testing stop time.FindingsThe proposal is backed by real-life software bug dataset consisting of four releases. The model was able to successfully determine the ideal software release time and the testing stop time. An increased profit is generated by releasing the software earlier and continues testing long after its release.Originality/valueThe work contributes positively to the field by providing an effective optimization model, which was able to determine the economic benefit of the combined use of upgrade and update service. The model can be used by management to determine their timelines and cost that will be incurred depending on their product and available resources.

9.1.1 Trade Study Cost Analysis Model

2006 ◽  
Vol 16 (1) ◽  
pp. 1206-1228
Author(s):  
Ed Casey ◽  
Desiree Davis
Keyword(s):  
Cost Analysis ◽  
Analysis Model ◽  
Trade Study

Automatic Thermal Modeling for System Level Design of Electronic Equipment

2003 ◽  
Author(s):  
Kenichiro Aoki ◽  
Koichi Shimizu ◽  
Akira Ueda ◽  
Akira Tamura ◽  
Masanori Motegi
Keyword(s):  
Model Building ◽  
Software Tool ◽  
System Level ◽  
Analysis Model ◽  
Accurate Analysis ◽  
Fluid Analysis ◽  
Analytical Accuracy ◽  
Thermal Fluid Analysis ◽  
Short Time ◽  
Large Investment

The development of hardware needs cost reduction by shortening a development period and reducing experimental man-hour. In order to satisfy these demands, thermal fluid analysis with higher accuracy in short time is indispensable for product development. At present, thermal fluid analyses are conducted using different software tools. Each software tool requires model building and meshing for simulations using its own format. That leads to a large investment in time, and therefore cost. VPS/Simulation-Hub software Fujitsu developed is able to convert data from various CADs. It has the features to create a data fitting to numerical analysis software, create an accurate analysis model, and delete unnecessary components. With these main features, VPS/Simulation-Hub greatly contributes to the man-hour reduction for model building and the improvement of analytical accuracy. In this paper, VPS/Simulation-Hub is introduced with the detail explanation of the above 3 main features.

Regression Analysis and Docking Study of 4-Quinolylhydrazone Based Compounds as Antituberculosis Agents

2019 ◽  
Vol 4 (4) ◽  
pp. 248-255
Author(s):  
C.V. Bisen ◽  
M.R. Patle ◽  
R.M. Patle
Keyword(s):  
Regression Analysis ◽  
Model Building ◽  
Biological Activities ◽  
Docking Study ◽  
Biological Properties ◽  
Analysis Model ◽  
Docking Method ◽  
Building Purpose ◽  
Inhibition Studies ◽  
Molecular Docking Method

In present study, at the beginning, the molecules whose biological properties are known are well-thought-out as a known set for regression analysis model building purpose. Using the Datawarrior software the descriptors were calculated for known set. Novel substituted 4-hydrazinylqunoline molecules were designed, improved and their descriptors were calculated. Morever, the regression analysis model was used to determine the biological activities of these new molecules. Along with this, the inhibition studies for 1QPQ and 1KNC by molecular docking method were also carried out to validate the therapeutic nature of these molecules. Accordingly, it can be concluded that these moieties on further studies may evident to be therapeutic representative against Mycobacterium tuberculosis.

A cost analysis model for heavy equipment

2009 ◽  
Vol 56 (4) ◽  
pp. 1276-1288 ◽  
Author(s):  
Shibiao Chen ◽  
L. Ken Keys
Keyword(s):  
Cost Analysis ◽  
Analysis Model ◽  
Heavy Equipment
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