scholarly journals An Accuracy Investigation of Product Cost Estimation in Automotive Die Manufacturing

2017 ◽  
Vol 8 (7) ◽  
pp. 1 ◽  
Author(s):  
Julia Bendul ◽  
Vasile Apostu

Automotive die manufacturers face the constant challenge of producing qualitative products while having to reduce costs. However, cost reduction measures are rather insignificant during the actual manufacturing process as the most important cost-impacting decisions are taken during the design phase. Cost estimation methods attempt to determine the production cost already in the design phase; the cost can be broken down and therefore the plan times of manufacturing processes can be pre-calculated, thus enabling early capacity decisions. Many researchers have been focusing for decades on developing efficient cost estimation methods. Yet their scarce access to cost information meant that most of the developed methods could not be evaluated with real data and thus their implementation in practice being challenged. This paper reviews and classifies cost estimation methods and investigates the accuracy of the estimate based onpractical application in 190 cases. The overall aim is to determine the accuracy level of the studied methods in practice and therefore identify their application fields.

2011 ◽  
Vol 121-126 ◽  
pp. 3612-3616
Author(s):  
Wen Quan Huang ◽  
Kai Shi Li ◽  
Hai Jun Liu

This paper adopts the method labor time standard, in the development environment of VC++, using Access database storage costs data, and the cost results output into Excel, developed mechanical product turning processing manufacturing cost estimation system. Using this system can realize turning processing cost estimation and feedback the cost information of mechanical product turning processing, make a design personnel to understand the cost information, to improve design, reduce the cost, improve the market competitiveness of products


Author(s):  
Aravindhan K

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.


Author(s):  
Swadesh Kumar Samanta ◽  
John Woods ◽  
Mohammed Ghanbari

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]


Author(s):  
Harshal Patwardhan ◽  
Karthik Ramani

Due to the ever-increasing competition in today’s global markets, the cost of the product is rapidly emerging as one of the most crucial factors in deciding the success of the product. Decisions made during the design stage affect as much as 70–80% of the final product cost. Hence, a manufacturing cost estimation tool that can be used by the designer concurrently during the design phase will be of maximum benefit. A literature study of the available cost estimation tools suggests that a majority of these tools are meant for use in the later stages of the product development lifecycle. In the early stages of a product lifecycle, the only information that is available to the designer is related to geometry and material. Hence, the cost estimation methods that have been developed with the intent of being used in the early stages of design make use of the geometric information available at that stage of the design. Most of the earlier models that use parametric cost estimation and features technology consider the design features in their implementation. However, such models fail to consider “manufacturing based features” such as cores and undercuts. These manufacturing based features are very important in deciding the manufacturability and the cost of the part. The Engineering Cost Advisory System (ECAS) is a knowledge-based system that presents cost advice to the designer at the design stage after considering various design parameters and user requirements. Some of these design parameters can be extracted via standard Application Programming Interfaces (APIs). Moreover, ECAS uses innovative techniques of geometric reasoning and the hybrid B-rep-voxel model approach to extract manufacturing feature-based geometric information directly from the CAD input. By considering the manufacturing based features along with the design parameters, the ECAS architecture is applicable to a much wider variety of manufacturing processes. The complexity of the part, which is derived from the geometric parameters (manufacturing based and design based) and other non-geometric user requirements (e.g. quantity, material), is used to estimate the manufacturing effort involved in process specific activities. The final cost is then estimated based on this manufacturing effort and considering the hourly rates of labor and other contextual resources as well as material rates.


2013 ◽  
Vol 291-294 ◽  
pp. 2822-2825 ◽  
Author(s):  
Gwang Hee Kim ◽  
Hyun Young Park ◽  
Jae Min Shin

The completion of the design drawing has not been credited in the construction market in Korea, and the modeling information of the design phase cannot be effectively used in an estimation process. Therefore, the objective of this study is to assess the cost estimating accuracy of a BIM tool in the design process to verify its applicability. Modeling was done for a building in an actual project to evaluate the applicability, from which the causes of errors of quantity take-off were derived.


2020 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
Novi Swandari Budiarso ◽  
Winston Pontoh

The manufacturing firms have implicit and explicit goals and objectives. In order to achieve these goal and objective then manager needs accounting information. The accounting information created and used by management is intended primarily for planning and control decisions. One of the accounting information is cost accounting that can be used as a tool for planning the profit as the objective of the companies. Manufacturing costs are identified as variable costs or fixed costs under cost behavior analysis. Regression analysis is the one of the cost estimation methods in term to estimate the fixed costs and variable costs where the results of estimation are used to calculate the contribution margin.


Author(s):  
Mark Eklin ◽  
Yohanan Arzi ◽  
Avraham Shtub

In recent years several researchers suggested cost estimation models that consider the limited capacity of the shop. In these studies, the stochastic nature of the shop floor is modeled by a time-consuming simulation. This paper proposes five alternative rough-cut cost estimation methods that can replace the simulation. Three of five methods based on forced idle time prediction. The study compares the cost estimations derived from these methods. A cost estimation method, based on the forced idle time of the bottleneck workstation, was found to be outperform the others. As the best method, the bottleneck-based method was compared to the actual order’s cost and was found as a replacement to simulation.


Author(s):  
Rajkumar Roy ◽  
Petros Souchoroukov ◽  
Harri S. Koponen

The automotive companies operate in a very competitive market. Competitiveness requires controlling product costs, and cost estimation is an important activity for this. Cost estimation requires quality information but the conducted research found several issues that hinder this activity, namely a lack of resources and information acquiring and validation difficulties. Data and Information requirements are a major issue in cost estimating. Research in cost estimating mainly focus on improving techniques and methodologies. There is a need to investigate the data and information requirements and corresponding sources of information for cost estimating. These issues have led to the extensive use of expert judgement. Experienced cost estimators use a variety of information resources and cost elements to create a cost estimate, and this causes communication issues. Better information is needed for both creating sound cost estimates and increasing understanding of these created cost estimates. This paper proposes a novel idea, an information infrastructure for automotive cost estimation to address the issue. The constructed Infrastructure provides relevant cost information needed to develop sound and robust cost estimates using a webportal design. It defines in depth the necessary cost information, explains why it is used and gives details where to find it and how to validate it. The research increases understanding of the cost estimation information requirements for the automotive industry.


2010 ◽  
pp. 1264-1281
Author(s):  
Swadesh Kumar Samanta ◽  
John Woods ◽  
Mohammed Ghanbari

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 modeled 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.


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