Cost Estimation Model for Polyacrylonitrile-Based Carbon Fiber Manufacturing Process

2016 ◽  
Vol 139 (4) ◽  
Author(s):  
Amaninder Singh Gill ◽  
Darian Visotsky ◽  
Laine Mears ◽  
Joshua D. Summers
Keyword(s):  
Carbon Fiber ◽  
Cost Estimation ◽  
Large Scale ◽  
Cost Model ◽  
Cost Effective ◽  
Limiting Factors ◽  
Manufacturing Cost ◽  
Estimation Model ◽  
Cost Estimation Model ◽  
Fiber Manufacturing

A polyacrylonitrile (PAN)-based carbon fiber (CF) manufacturing cost estimation model driven by mass is presented in this study. One of the biggest limiting factors in the large-scale use of carbon fiber (CF) in manufacturing is its high cost. The costs involved in manufacturing the carbon fiber have been formalized into a cost model in order to facilitate the understanding of these factors. This can play a key role in manufacturing CF in a cost-effective method. This cost model accounts for the fixed and variable costs involved in all the stages of manufacturing, in addition to accounting for price elasticity.

scholarly journals Cost Estimation Model for PAN Based Carbon Fiber Manufacturing Process

2016 ◽  
Author(s):  
Amaninder Singh Gill ◽  
Darian Visotsky ◽  
Laine Mears ◽  
Joshua D. Summers
Keyword(s):  
Carbon Fiber ◽  
Cost Estimation ◽  
Large Scale ◽  
Cost Model ◽  
Cost Effective ◽  
Limiting Factors ◽  
Manufacturing Cost ◽  
Estimation Model ◽  
Cost Estimation Model ◽  
Fiber Manufacturing

A polyacrilonitrile (PAN) based carbon fiber manufacturing cost estimation model driven by weight is presented in this study. One of the biggest limiting factors in the large scale use of carbon fiber (CF) in manufacturing is its high cost. The costs involved in manufacturing the carbon fiber have been formalized into a cost model in order to facilitate the understanding of these factors. This can play a key role in manufacturing CF in a cost effective method. This cost model accounts for the fixed and variable costs involved in all stages of manufacturing, in addition to accounting for price elasticity.

Cost Estimation Model Based on Improved Spreadsheet Algorithm for Assembly Line Manufacturing Systems

2012 ◽  
Vol 490-495 ◽  
pp. 2173-2177
Author(s):  
Bin Zeng ◽  
Rui Wang ◽  
Chao Yang Ma
Keyword(s):  
Cost Estimation ◽  
Manufacturing Systems ◽  
Cost Model ◽  
Manufacturing Cost ◽  
Cost Models ◽  
Estimation Model ◽  
Stochastic Variation ◽  
Virtual Plant ◽  
Model Based ◽  
Cost Estimation Model

Traditionally assembly cost models are established through static spreadsheet algorithms. However, there are some inherent problems in using spreadsheets for the estimation of manufacturing cost. Among these is the lack of accounting for dynamic effects caused by stochastic variation such as inventory fluctuation, downtimes, supply interruptions, and system failures. Therefore, a dynamic cost estimation model is proposed which can be seen as an integration method between spreadsheet modeling and the virtual plant concept, which maintained the accessibility and flexibility of the spreadsheet model, and did not require a significant increase in the effort level to build a simulation. However, it still includes the effects of interaction between machines, along with simulating random failures, maintenance dispatch and repair. A case study is also tested and the results verify that the methodology demonstrates the feasibility of dynamic cost model based on a number of improvements on static spreadsheet algorithms

scholarly journals Development of Cost Estimation Model of the Membrane System

2019 ◽  
Vol 8 (5C) ◽  
pp. 645-653
Keyword(s):  
Cost Estimation ◽  
Life Cycle Cost ◽  
Cost Model ◽  
Economic Assessment ◽  
Membrane System ◽  
Manufacturing Cost ◽  
Activity Based Costing ◽  
Estimation Model ◽  
Traditional System ◽  
Cost Estimation Model

Apart from product quality, the manufacturing cost is an important element to compete in the competitive industry. Detail economic assessment is important to estimate the product cost accurately and avoid overestimating or underestimating that give bad impact to the firm. Membrane system; a compact, sustainable and cheaper wastewater treatment system compared to the traditional system. Yet, there is limited study analysing the economic aspect of the membrane system due to the limited historical data, a complicated process involved and deal with tangible overhead costs. Thus, this study aims to develop a cost model to estimate the total cost of the membrane system during its lifespan. Activity-based costing (ABC) method is used as cost estimation technique to calculating the overhead cost and added the direct costs to determine the life-cycle cost (LCC) of the membrane system by using Microsoft Excel while Microsoft Visual Basic is used to demonstrate a user-friendly cost estimation model. The proposed cost model is a simpler system because the end user is guided to get the LCC value without has to deal with a complicated equation. The proposed model cost is tested to estimating the LCC of HFMM in treating wastewater from the prototype stage until the disposal stage.

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%.

A Cost Model for the Metal Inert Gas (MIG) Welding Process

2007 ◽  
Author(s):  
Pradeep Kumar Tipaji ◽  
Venkat Allada ◽  
Rajiv Mishra
Keyword(s):  
Cost Estimation ◽  
Material Selection ◽  
Cost Model ◽  
Welding Process ◽  
Inert Gas ◽  
Mig Welding ◽  
Estimation Model ◽  
Cost Component ◽  
Cost Estimation Model ◽  
The Cost

A cost model is an important tool for product design and material selection. An efficient and effective cost estimation tool is necessary for early design evaluations. In this paper, a cost estimation model is presented that estimates the production cost for metal inert gas (MIG) welded joints. This model determines the cost incurred in fabricating each joint with a detailed explanation of each cost component / driver. Each cost component has been closely analyzed and the major cost components have been included in the cost model. We used this cost model to predict the cost of the forty two different joints joined using MIG welding technique. The results predicted by the MIG welding cost model have been compared to that quoted by an expert welder. Initial results show that the cost model and the expert cost estimates follow a similar general trend. Further study is needed to refine the MIG cost model.

scholarly journals The Optimization of Cost-Model for Join Operator on Spark SQL Platform

2018 ◽  
Vol 173 ◽  
pp. 01015
Author(s):  
Xin Lian ◽  
Tianyu Zhang
Keyword(s):  
Cost Estimation ◽  
Cost Model ◽  
Estimation Model ◽  
Network Resources ◽  
Operation Performance ◽  
Query Optimizer ◽  
Network Transmission ◽  
Cost Estimation Model ◽  
The Cost ◽  
Memory Resources

Spark needs to use lots of memory resources, network resources and disk I/O resources when Spark SQL execute Join operation. The Join operation will greatly affect the performance of Spark SQL. How to improve the Join operation performance become an urgent problem. Spark SQL use Catalyst as query optimizer in the latest release. Catalyst query optimizer both implement the rule-based optimize strategy (RBO) and cost-based optimize strategy (CBO). There are some problems with the Catalyst CBO module. In the first place, the characteristic of In-memory computing in Spark was not fully considered. In the second place, the cost estimation of network transfer and disk I/O is insufficient. To solve these problems and improve the performance of Spark SQL. In this study, we proposed a cost estimation model for Join operator which take the cost from four aspects: time complexity, space complexity, network transfer and disk I/O. Then, the most cost-efficiency plan could be selected by using hierarchical analysis method from the equivalence physical plans which generated by Spark SQL. The experimental results show that the total amount of network transmission is reduced and the usage of processor is increased. Thus the performance of Spark SQL has improved.

Optimization of software cost estimation model based on biogeography-based optimization algorithm

2020 ◽  
pp. 1-8
Author(s):  
Aman Ullah ◽  
Bin Wang ◽  
Jinfang Sheng ◽  
Jun Long ◽  
Muhammad Asim ◽  
...  
Keyword(s):  
Cost Estimation ◽  
Cost Model ◽  
Flower Pollination Algorithm ◽  
Manhattan Distance ◽  
Software Project ◽  
Estimation Model ◽  
Software Cost ◽  
Standard Data ◽  
Cost Estimation Model ◽  
Cocomo Ii

Estimating of software cost (ESC) is considered a crucial task in the software management life cycle as well as time and quality. Prior to the development of a software project, precise estimations are required in the form of person month and time. In the last few decades, various parametric and non-algorithmic or non-parametric regarding the estimating of software costs have been developed. Among them, the constrictive cost model (COCOMO-II) is a commonly used method for estimating software cost. To further improve the accuracy of this model, researchers and practitioners have applied numerous computational intelligence algorithms to optimize their parameters. However, accuracy is still a big problem in this model to be addressed. In this paper, we proposed a biogeography-based optimization (BBO) method to optimize the current coefficients of COCOMO-II for better estimating of software project cost or effort. The experiments are conducted on two standard data sets: NASA-93 and Turkish Industry software projects. The performance of the proposed algorithm called BBO-COCOMO-II is evaluated by using performance indicators including the Manhattan distance (MD) and the mean magnitude of relative error (MMRE). Simulation results reveal that the proposed algorithm obtained high accuracy and significant error minimization compared to original COCOMO-II, particle swarm optimization, genetic algorithm, flower pollination algorithm, and other various baseline cost estimation models.

scholarly journals Cost Estimation Model Using Modified Parameters for Construction Projects

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Sae-Hyun Ji ◽  
Joseph Ahn ◽  
Hyun-Soo Lee ◽  
Kyeongjin Han
Keyword(s):  
Cost Estimation ◽  
Construction Projects ◽  
Cost Model ◽  
Influence Factors ◽  
Influential Factors ◽  
Estimation Accuracy ◽  
Estimation Model ◽  
Proposed Model ◽  
Cost Estimation Model ◽  
The Cost

Construction projects require huge amounts of capital and have many risk factors due to the unique industry characteristics. For a project to be successful, accurate cost estimation during the design phase is very important. Thus, this research aims to develop a cost estimation model where a modification method integrates influential factors with significant parameters. This study identified a modified parameter-making process, which integrates many influential factors into a small number of significant parameters. The proposed model estimates the cost using quantity-based modified parameters multiplied by their price. A case study was conducted with 24-residence building project, and the estimation accuracy of the suggested method and a CBR model were compared. The proposed model achieved higher overall cost-estimation accuracy and stability. A large number of influence factors can be modified as simple representatives and overcome the limitations of a conventional cost estimation model. The paper originality relates to providing a modified parameter-making process to enhance reliability of a cost estimation. In addition, the suggested cost model can actively respond to the iterative requirements of recalculation of the cost.

scholarly journals A Feature-Based Cost Estimation Model for Wind Turbine Blade Spar Caps

2020 ◽  
Vol 3 (2) ◽  
pp. 17
Author(s):  
J. Clarke ◽  
A. McIlhagger ◽  
E. Archer ◽  
T. Dooher ◽  
T. Flanagan ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Cost Estimation ◽  
Volume Fraction ◽  
Cost Model ◽  
Fiber Reinforced ◽  
Estimation Model ◽  
Glass Fiber Reinforced ◽  
Software Algorithms ◽  
Cost Of Energy ◽  
Cost Estimation Model

A problem for wind turbine operators is decreasing prices for wind-generated electricity. Many turbines are approaching their rated 20-year lives. A more economically viable and sustainable solution that reduces Levelized Cost of Energy (LCOE) and avoids expensive turbine replacement is retrofitting new spar caps blades. A new cost model assesses the feasibility of retrofitting 35 to 75 m turbines with GFRP (glass fiber reinforced polymer composite) and longer length CFRP (carbon fiber reinforced composite) spar caps. Spar cap cost scales with features such as mass, volume fraction and complexity. Organizational learning is a cost factor. Material and direct labor increase as proportions of total cost while tooling, capital, utilities, and indirect labor decrease. There is good agreement between a manufacturer and the model. Twenty-year turbines were compared with retrofitted spar caps over 25 years for LCOE. Same length GFRP and longer length CFRP spar cap retrofits decrease LCOE. Longer length CFRP spar caps decrease LCOE compared with GFRP retrofits over 25 years. CFRP material cost impacts CFRP retrofit feasibility. Retrofitted turbines must meet engineering, operational performance, and planning requirements criteria. Software algorithms may improve human learning and enable automatic updates from varying design and cost inputs, thereby increasing cost prediction accuracy.

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