Cost Estimation Model for I-Girder Bridge Superstructure Using Multiple Linear Regression and Artificial Neural Network

2018 ◽  
Vol 881 ◽  
pp. 142-149 ◽  
Author(s):  
Inas Winalytra ◽  
Arief Setiawan Budi Nugroho ◽  
Andreas Triwiyono
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Linear Regression ◽  
Cost Estimation ◽  
Estimation Model ◽  
Bridge Span ◽  
Factors Influencing ◽  
Cost Estimation Model ◽  
Girder Bridge ◽  
The Cost

One of the owner’s common problem before executing construction projects is the complexity in estimating the project cost in an early stage. Inaccurate cost estimation will force the owner to make further arrangement to the project budget. This study aims to develop an initial cost estimation model for superstructures of Precast I-girder Bridge. Cost estimation model was developed based on thirteen data of detail engineering design of I-girder bridge in Daerah Istimewa Yogyakarta (DIY). Factors influencing the cost of the superstructures of the I-girder bridge were identified. Bridge span and width, the size of the sidewalk, and railing’s type are considered as variables affecting the cost of superstructures. These variables are then arranged into two different analysis Multiple Linear Regression (MLR) analysis and Artificial Neural Network (ANN), in order to obtain the best estimation model. The results of the analysis showed that bridge span and width were the significant factors influencing cost. The correlation value of bridge span is 89.0%, bridge width is 74.2%, the size of the sidewalk is 66.1%, and railing’s type is 46.1% as identified factors that affect the cost of the superstructure. A comparative model of two approaches shows that the ANN has better accuracy than that of MLR, although the difference was not significant.

Proposing an Effective Artificial Neural Network Architecture to Improve the Precision of Software Cost Estimation Model

2014 ◽  
Vol 24 (06) ◽  
pp. 935-953 ◽  
Author(s):  
Iman Attarzadeh ◽  
Siew Hock Ow
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Software Development ◽  
Cost Estimation ◽  
Early Phase ◽  
Software Project ◽  
Estimation Model ◽  
Cost Estimation Model ◽  
Project Data ◽  
Cocomo Ii

Software companies have to manage different software projects based on different time, cost, and manpower requirement, which is a very complex task in software project management. Accurate software estimates at the early phase of software development is one of the crucial objectives and a great challenge in software project management, in the last decades. Since software development attributes are vague and uncertain at the early phase of development, software estimates tend to a certain degree of estimation error. A software development cost estimation model incorporates soft computing techniques provides a solution to fit the vagueness and uncertainty of software attributes. In this paper, an adaptive artificial neural network (ANN) architecture for Constructive Cost Model (COCOMO) is proposed in order to produce accurate software estimates. The ANN is utilized to determine the importance of calibration of the software attributes using past project data in order to produce accurate software estimates. Software project data from the COCOMO I and NASA'93 data sets were used in the evaluation of the proposed model. The result shows an improvement in estimation accuracy of 8.36% of the ANN-COCOMO II when compared with the original COCOMO II.

Insights on Cost Estimation Methods and its Uses in Software Project Design

2020 ◽  
pp. 166-169
Author(s):  
Aravindhan K
Keyword(s):  
Project Management ◽  
Cost Estimation ◽  
Estimation Methods ◽  
Software Project ◽  
Estimation Model ◽  
Software Projects ◽  
Software Applications ◽  
Software Companies ◽  
Cost Estimation Model ◽  
The Cost

Cost estimation of software projects is risky task in project management field. It is a process of predicting the cost and effort required to develop a software applications. Several cost estimation models have been proposed over the last thirty to forty years. Many software companies track and analyse the current project by measuring the planed cost and estimate the accuracy. If the estimation is not proper then it leads to the failure of the project. One of the challenging tasks in project management is how to evaluate the different cost estimation and selecting the proper model for the current project. This paper summarizes the different cost estimation model and its techniques. It also provides the proper model selection for the different types of the projects.

Application of Parametric Cost Estimation Model to Telecommunication Networks

2011 ◽  
pp. 150-167
Author(s):  
Swadesh Kumar Samanta ◽  
John Woods ◽  
Mohammed Ghanbari
Keyword(s):  
Cost Estimation ◽  
Research Effort ◽  
Real Data ◽  
Telecommunication Networks ◽  
Estimation Model ◽  
Parametric Cost Estimation ◽  
Cost Estimation Model ◽  
Two Parameters ◽  
The Cost ◽  
Telecom Network

The parametric cost estimation approach has proved to be an efficient method for analyzing complex systems such as spacecraft, missiles, ships, buildings, etc where cost varies according to a number of parameters. The cost to provision a telecom network also depends on a number of parameters; but little research effort has been applied to estimate cost using this approach. In estimating the cost of a telecom network, most published research has considered two parameters; distance and bandwidth of a link and ignored the effects of other parameters. We have modelled the cost based on distance, bandwidth, geographical terrain and technology simultaneously using a parametric cost estimation methodology applied to real data obtained from the Indian Telecom Company, BSNL. Using the model, we show how a cost optimized network can be designed given the real world constraints. The applicability of our model to determine revenue sharing mechanism for an international call is also demonstrated. [Article copies are available for purchase from InfoSci-on-Demand.com]

Integration of friction stir welding into a multi-disciplinary aerospace design framework

2006 ◽  
Vol 110 (1113) ◽  
pp. 759-766 ◽  
Author(s):  
A. H. van der Laan ◽  
R. Curran ◽  
M. J. L. van Tooren ◽  
C. Ritchie
Keyword(s):  
Friction Stir Welding ◽  
Cost Estimation ◽  
Multidisciplinary Design ◽  
Manufacturing Cost ◽  
Automated Manufacturing ◽  
Estimation Model ◽  
Friction Stir ◽  
Manufacturing Methods ◽  
Cost Estimation Model ◽  
The Cost

Abstract Multidisciplinary design and innovative highly automated manufacturing methods are increasingly important to today’s aircraft industry: multidis-ciplinary design because it reduces lead-time and results in a better design, and automated manufacturing methods because they are more capable and reduce manufacturing cost. In this paper a cost estimation model is presented that integrates the manufacturing cost of friction stir welded connections within a multidisciplinary design decision tool. Due to the fact that friction stir welding is a new manufacturing method, the cost estimation model is based on the actual process physics, meaning what the process looks like in terms of processing speeds and characteristics. As an integral part of a multidisciplinary design framework, the developed cost estimation model contributes to a design support tool that assesses not only manufacturing but also structural and aerodynamic issues. It is shown that the cost model developed can be integrated into this more holistic design process support architecture. The predicted costs are accurate to the historical data and allow tradeoff of manufacturing and economic considerations within the context of the multidisciplinary design tool. The tradeoff capability is highlighted through a presented case study that compares the friction stir welding process as an alternative solution to more tradition riveting. Most importantly, this results in a quantitative tradeoff between two processes that shows the manufacturing cycle time of friction stir welding to be reduced by 60% and the recurring assembly cost by 20%.

Cost Analysis of Carbon Emission Based on Carbon Finance

2014 ◽  
Vol 1065-1069 ◽  
pp. 3030-3034
Author(s):  
Nai Ping Zhu ◽  
Qi Zhao ◽  
Yang Shen
Keyword(s):  
Carbon Emissions ◽  
Cost Estimation ◽  
Carbon Emission ◽  
Cost Control ◽  
Added Value ◽  
Estimation Model ◽  
Factors Affecting ◽  
Cost Estimation Model ◽  
Carbon Finance ◽  
The Cost

For the purpose of encouraging enterprises to save energy and reduce emissions from the internal demand and providing insight and inspiration to future study,this article not only describes the carbon finance coefficient model based on factors related to carbon finance but also establishes cost estimation model of carbon emissions according to the factors affecting the cost of carbon emissions and carbon finance coefficient.The resulted shows that carbon emissions currency cost namely the monetary costs of carbon emissions is the market value and the currency value of carbon emissions cost based on the financial market conditions.The result of the present work introduces that the cost of carbon emission has a correlation with prevention costs,cost control,carbon content,industrial added value,carbon finance index and so on so that governments and enterprises should take some measures such as perfecting carbon finance system and setting up the cost control of system consciousness to reduce the cost of carbon emissions and protect our environment.

scholarly journals A Generic Cost Estimating Approach for a Composite Manufacturing Process Assessment

2021 ◽  
Author(s):  
Justyna Rybicka ◽  
Teresa Purse ◽  
Brett Parlour
Keyword(s):  
Cost Estimation ◽  
Model Development ◽  
Manufacturing Processes ◽  
Cost Estimating ◽  
Estimation Model ◽  
Composite Manufacturing ◽  
Composites Manufacturing ◽  
Cost Estimation Model ◽  
High Level ◽  
The Cost

Cost estimation helps build confidence in the feasibility of the development of novel manufacturing processes. This paper focuses on the exploration of the cost estimation for novel manufacturing processes for decision support. One of the aspects of estimation is building credibility around the analysis, especially, in the early stages of planning. Cost estimating guidelines provide a good overview of the cost estimation steps but there is a requirement for guidelines for cost estimation model development. Through building on an understanding of the cost estimation principles, as well as cost estimation modelling, a high-level generic approach for process cost estimation is proposed. Further, a demonstration of a cost estimation modelling approach used for composites manufacturing in the automotive sector is provided, outlining the steps in cost estimation model development.

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