Study on Assembly Cost Based on Product Concurrent Design

2011 ◽  
Vol 314-316 ◽  
pp. 1863-1866
Author(s):  
Qing Liang Zeng ◽  
Lian Min Cao ◽  
Xi Wei Wang
Keyword(s):  
Cost Estimation ◽  
Cost Reduction ◽  
Theoretical Basis ◽  
Estimation Method ◽  
Concurrent Design ◽  
Prototype System ◽  
Feature Mapping ◽  
Assembly Cost ◽  
Depth Study ◽  
Product Assembly

This thesis makes in-depth study on product assembly costs in the theoretical basis of feature mappings and cost estimation method of concurrent design. It builds up a mathematical model of feature mapping from product design domain to assemble domain, proposes a prototype system framework of assembly cost estimation and also provides theoretical and technical support for design of product cost reduction.

Keynote

2021 ◽  
Vol 48 (4) ◽  
pp. 3-3
Author(s):  
Ingo Weber
Keyword(s):  
Cost Estimation ◽  
Estimation Method ◽  
Main Topic ◽  
System Throughput ◽  
Distributed Ledger ◽  
Smart Contract ◽  
Distributed Ledger Technology ◽  
Wide Range ◽  
The Cost ◽  
Application Developers

Blockchain is a novel distributed ledger technology. Through its features and smart contract capabilities, a wide range of application areas opened up for blockchain-based innovation [5]. In order to analyse how concrete blockchain systems as well as blockchain applications are used, data must be extracted from these systems. Due to various complexities inherent in blockchain, the question how to interpret such data is non-trivial. Such interpretation should often be shared among parties, e.g., if they collaborate via a blockchain. To this end, we devised an approach codify the interpretation of blockchain data, to extract data from blockchains accordingly, and to output it in suitable formats [1, 2]. This work will be the main topic of the keynote. In addition, application developers and users of blockchain applications may want to estimate the cost of using or operating a blockchain application. In the keynote, I will also discuss our cost estimation method [3, 4]. This method was designed for the Ethereum blockchain platform, where cost also relates to transaction complexity, and therefore also to system throughput.

scholarly journals A Mobile Sensing System for UrbanPM2.5Monitoring with Adaptive Resolution

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Hongjie Guo ◽  
Guojun Dai ◽  
Jin Fan ◽  
Yifan Wu ◽  
Fangyao Shen ◽  
...  
Keyword(s):  
Air Quality ◽  
Meteorological Data ◽  
Computational Cost ◽  
Estimation Method ◽  
Mobile Sensing ◽  
Prototype System ◽  
Adaptive Grids ◽  
Sensing System ◽  
Adaptive Resolution ◽  
Wide Range

This paper develops a mobile sensing system, the first system used in adaptive resolution urban air quality monitoring. In this system, we employ several taxis as sensor carries to collect originalPM2.5data and collect a variety of datasets, including meteorological data, traffic status data, and geographical data in the city. This paper also presents a novel method AG-PCEM (Adaptive Grid-Probabilistic Concentration Estimation Method) to infer thePM2.5concentration for undetected grids using dynamic adaptive grids. We gradually collect the measurements throughout a year using a prototype system in Xiasha District of Hangzhou City, China. Experimental data has verified that the proposed system can achieve good performance in terms of computational cost and accuracy. The computational cost of AG-PCEM is reduced by about 40.2% compared with a static grid method PCEM under the condition of reaching the close accuracy, and the accuracy of AG-PCEM is far superior as widely used artificial neural network (ANN) and Gaussian process (GP), enhanced by 38.8% and 14.6%, respectively. The system can be expanded to wide-range air quality monitor by adjusting the initial grid resolution, and our findings can tell citizens actual air quality and help official management find pollution sources.

A grey rough set model for evaluation and selection of software cost estimation methods

2014 ◽  
Vol 4 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Jun Liu ◽  
Jian-Zhong Qiao
Keyword(s):  
System Theory ◽  
Rough Set ◽  
Cost Estimation ◽  
Estimation Method ◽  
Grey System Theory ◽  
Estimation Methods ◽  
Software Cost Estimation ◽  
Grey System ◽  
Software Cost ◽  
Content Type

Purpose – Due to the limitation of acknowledgment, the complexity of software system and the interference of noises, this paper aims to solve the traditional problem: traditional software cost estimation methods face the challenge of poor and uncertain inputs. Design/methodology/approach – Under such circumstances, different cost estimation methods vary greatly on estimation accuracy and effectiveness. Therefore, it is crucial to perform evaluation and selection on estimation methods against a poor information database. This paper presents a grey rough set model by introducing grey system theory into rough set based analysis, aiming for a better choice of software cost estimation method on accuracy and effectiveness. Findings – The results are very encouraging in the sense of comparison among four machine learning techniques and thus indicate it an effective approach to evaluate software cost estimation method where insufficient information is provided. Practical implications – Based on the grey rough set model, the decision targets can be classified approximately. Furthermore, the grey of information and the limitation of cognition can be overcome during the use of the grey rough interval correlation cluster method. Originality/value – This paper proposed the grey rough set model combining grey system theory with rough set for software cost estimation method evaluation and selection.

Using a Multiple Concurrent Design Views Interface to Enhance Design Complexity Management

2000 ◽  
Author(s):  
Benjamin A. Baker ◽  
Russell D. Fish ◽  
Elaine Cohen
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Concurrent Design ◽  
Prototype System ◽  
Management Tools ◽  
Design Complexity ◽  
Management Framework ◽  
Complexity Management ◽  
Design Detail ◽  
Complex Design

Abstract Modern product design complexity is a problem faced by designers of complex geometric products. It is very difficult for a designer to assimilate the vast amounts of data necessary to produce and understand such complex designs in their totality. Recently, research has been done to better manage design complexity, but little or no work has been done with respect to user interfaces for complexity management tools. In this research, we present a concurrent design views interface to enhance design complexity management. This user interface assists the designer in creation and visualization of complex design frameworks. These design views support different levels of design detail and complexity, and also provide hierarchical design decomposition of complex design frameworks. Concurrency between design views is maintained, thus increasing the overall power of the system. To demonstrate the validity and applicability of this approach in solving complexity management issues, a prototype system implementation of an intuitive user interface built upon an existing complexity management framework is presented.

An Improvement Inspection Policy for C2F6 Gas Used in Semiconductor Manufacturing

2013 ◽  
Vol 389 ◽  
pp. 175-182
Author(s):  
I Ping Huang ◽  
Chiuh Cheng Chyu
Keyword(s):  
Cost Reduction ◽  
Semiconductor Manufacturing ◽  
Geometric Distribution ◽  
Estimation Method ◽  
Cost Savings ◽  
Influence Diagram ◽  
Product Failure ◽  
Total Cost ◽  
Failure Cost ◽  
Inspection Policy

This research proposes an inspection policy aiming to improve the application of C2F6 in semiconductor manufacturing. For the gas product C2F6, total inspection is commonly employed by the producers before it is sent to downstream manufacturers. The study develops a Bayesian rectifying inspection sampling model with the objective of minimizing expected total cost from the producers standpoint. The factors that influence the total cost include gas product quality, inspection cost, sampling information, product failure cost, inspection accuracy, and decision on the remaining units. Influence diagram is used to represent the problem and derive the total objective function. The application of the model is presented via a real world company using the last four years of data. The proposed inspection policy yields an average of 15% cost savings using a cost reduction estimation method based on hyper-geometric distribution.

Application of the life cycle cost estimation method in transport infrastructure managing

2019 ◽  
Vol 126 ◽  
pp. 5-14
Author(s):  
Anna Gobis ◽  
Kazimierz Jamroz ◽  
Łukasz Jeliński
Keyword(s):  
Life Cycle ◽  
Cost Estimation ◽  
Life Cycle Cost ◽  
Estimation Method ◽  
Research Problem ◽  
Transport Infrastructure ◽  
Life Cycle Thinking ◽  
Infrastructure Management ◽  
Practical Tool ◽  
The Cost

The transport infrastructure management should be in line with sustainable development. Actions and activities that combine the environmental, social, and infrastructure expenditures optimally should be undertaken. The article presents a concept of life-cycle thinking that resolves these problems. The life cycle cost estimation method is a practical tool for managing transport infrastructure. The LCC analysis mustn’t generate more work than the benefits of it. Therefore appropriate assumptions should be made in constructing the method. The method assumes basic assumptions, taking into account the extensive scope of the research problem: transport infrastructure. The result of this article is a proposed mathematical model for estimating life-cycle costs. In the end, the practical use of the proposed methodology for determining the cost of the horizontal marking is provided.

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