The Application and Research for Estimation Method of Turning Cost

2011 ◽  
Vol 189-193 ◽  
pp. 716-719
Author(s):  
Kai Shi Li ◽  
Wen Quan Huang ◽  
Hai Jun Liu

The paper introduces a estimation method of turning cost applied to various kinds of lathe. The method can estimate the lathe machining cost of product in initial design and feedback the cost information for the designers improvement design and improve the market competitiveness of product.

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):  
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.


2017 ◽  
Vol 7 (1) ◽  
pp. 43-52
Author(s):  
Mochamad Tamim Ma’ruf

One-solving methods and techniques necessary to avoid inefficiencies and not economic costs as well as reduce the cost of housing construction is the method of Value Engineering. Value engineering is a method and cost control techniques to analyze a function to its value at the lowest cost alternative (most economical) without reducing the quality desired.At the writing of this study used a comparison method by comparing the initial design to the design proposal of the author. In the housing projects Upgrading Tirto Penataran Asri type 70, the application of Value Engineering conducted on the job a couple walls and roofs pair by replacing some work items with a more economical alternative but does not change the original function and high aesthetic level and still qualify safe. For that performed the step of determining a work item, the alternative stage, the analysis stage, and the stage of recommendations to get a Value Engineering application and cost savings against the wall a couple of work items and partner roof.The proposed design as compared to the initial design. Work items discussed was the work of a couple wall having analyzed obtained savings of Rp. 2,747,643.56 and the work of the roof pair obtained savings of Rp. 2,363,446.80. Thus the total overall savings gained is Rp 5,111,090.36 or savings of 0048%.


2020 ◽  
Vol 4 (4) ◽  
pp. 1-14
Author(s):  
Farrukh Mahmood ◽  
Shumaila Hashim ◽  
Uzma Iram ◽  
Muhammad Zubair Chishti

Wage disparities research hardly incorporate for the cost of living differences due to data restriction, while the wage disparity issue is the crucial area of economist interest. The study aims to examine the wage disparities between high and low wage cities for Punjab and Sindh province of Pakistan with and without the cost of living, deploying the data of Pakistan Social and Living Standards Measurement Survey (PSLM) with Household Integrated Economic Survey (HIES) for 2005, 2007, 2010, and 2013. Applying the Oaxaca-Blinder estimation method, the findings infer that wage dispersion is high without the cost of living model for both provinces (Punjab and Sindh) as compared to with cost of the living model. Moreover, the results reveal that the wage dispersion is greater in Punjab province than Sindh province. For policymakers, our study suggests that the cost of living is an essential component of the wage dispersion in Pakistan’s cities; it should be considered while formulating for wage policy.


2021 ◽  
Vol 48 (4) ◽  
pp. 3-3
Author(s):  
Ingo Weber

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.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Neide Canana

Abstract Background It is frequently said that funding is essential to ensure optimal results from a malaria intervention control. However, in recent years, the capacity of the government of Mozambique to sustain the operational cost of indoor residual spraying (IRS) is facing numerous challenges due to restrictions of the Official Development Assistance. The purpose of the study was to estimate the cost of IRS operationalization in two districts of Maputo Province (Matutuíne and Namaacha) in Mozambique. The evidence produced in this study intends to provide decision-makers with insight into where they need to pay close attention in future planning in order to operationalize IRS with the existent budget in the actual context of budget restrictions. Methods Cost information was collected retrospectively from the provider perspective, and both economic and financial costs were calculated. A “one-way” deterministic sensitivity analysis was performed. Results The average economic costs totaled US$117,351.34, with an average economic cost per household sprayed of US$16.35, and an average economic cost per person protected of US$4.09. The average financial cost totaled US$69,174.83, with an average financial cost per household sprayed and per person protected of US$9.84 and US$2.46, respectively. Vehicle, salary, and insecticide costs were the greatest contributors to overall cost in the economic and financial analysis, corresponding to 52%, 17%, and 13% in the economic analysis and 21%, 27%, and 22% in the financial analysis, respectively. The sensitivity analysis was adapted to a range of ± (above and under) 25% change. There was an approximate change of 14% in the average economic cost when vehicle costs were decreased by 25%. In the financial analysis, the average financial cost was lowered by 7% when salary costs were decreased by 25%. Conclusions Altogether, the current cost analysis provides an impetus for the consideration of targeted IRS operationalization within the available governmental budget, by using locally-available human resources as spray operators to decrease costs and having IRS rounds be correctly timed to coincide with the build-up of vector populations.


BioResources ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 2117-2118
Author(s):  
Shunxi Song ◽  
Zeshi Wu ◽  
Jingyi Nie

The increase of filler content in paper is an effective way to reduce production costs and to promote the market competitiveness of paper mills. A shift from natural fillers to synthetic fillers has enabled improvements in the critical properties of paper. Meanwhile, innovations from single particles of filler to filler composites has made it possible to increase the filler content of paper. Among various filler innovations, the design of fiber/filler composites has aroused general attention from industry and academic researchers. However, concerns related to the cost and recyclability of composite fillers remain to be addressed.


2017 ◽  
Vol 24 (5) ◽  
pp. 354 ◽  
Author(s):  
G.N. Honein-AbouHaidar ◽  
J.S. Hoch ◽  
M.J. Dobrow ◽  
T. Stuart-McEwan ◽  
D.R. McCready ◽  
...  

Objectives Diagnostic assessment programs (daps) appear to improve the diagnosis of cancer, but evidence of their cost-effectiveness is lacking. Given that no earlier study used secondary financial data to estimate the cost of diagnostic tests in the province of Ontario, we explored how to use secondary financial data to retrieve the cost of key diagnostic test services in daps, and we tested the reliability of that cost-retrieving method with hospital-reported costs in preparation for future cost-effectiveness studies.Methods We powered our sample at an alpha of 0.05, a power of 80%, and a margin of error of ±5%, and randomly selected a sample of eligible patients referred to a dap for suspected breast cancer during 1 January–31 December 2012. Confirmatory diagnostic tests received by each patient were identified in medical records. Canadian Classification of Health Intervention procedure codes were used to search the secondary financial data Web portal at the Ontario Case Costing Initiative for an estimate of the direct, indirect, and total costs of each test. The hospital-reported cost of each test received was obtained from the host-hospital’s finance department. Descriptive statistics were used to calculate the cost of individual or group confirmatory diagnostic tests, and the Wilcoxon signed-rank test or the paired t-test was used to compare the Ontario Case Costing Initiative and hospital-reported costs.Results For the 191 identified patients with suspected breast cancer, the estimated total cost of $72,195.50 was not significantly different from the hospital-reported total cost of $72,035.52 (p = 0.24). Costs differed significantly when multiple tests to confirm the diagnosis were completed during one patient visit and when confirmatory tests reported in hospital data and in medical records were discrepant. The additional estimated cost for non-salaried physicians delivering diagnostic services was $28,387.50.Conclusions It was feasible to use secondary financial data to retrieve the cost of key diagnostic tests in a breast cancer dap and to compare the reliability of the costs obtained by that estimation method with hospital-reported costs. We identified the strengths and challenges of each approach. Lessons learned from this study have to be taken into consideration in future cost-effectiveness studies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samuel Ekung ◽  
Isaac Odesola ◽  
Michael Oladokun

PurposeAcross the globe, the dearth of certainty about the cost of sustainable buildings (SBs) remains a critical disincentive to their adoption. This study explored the factually incorrect knowledge about the cost of SBs and their implications on adoption.Design/methodology/approachThe study adopted sequenced mixed qualitative and quantitative approaches involving a literature review, Delphi study and survey. Semi-structured and structured self-study questionnaires were administered to a random sample of green building experts, researchers and registered construction professionals with deep knowledge of SB. The dataset from 254 stakeholders was analysed for commonality, principal components and critical misperceptions using multivariate approaches.FindingsThe predominant misperceptions in the study linked low adoption of SB to cost premium, portray cost premium as a property of luxury sustainable features and suggest related practices are suitable for exemplary projects only. The critical misperceptions produced various misinterpretations that inhibit the adoption of SB through the dearth of policies, increased complexities and inflation of budget to curb perceived risks.Practical implicationsThe study buttressed the imperative to improve cost information, knowledge, skills and stakeholders' risk perceptions to increase SB adoption. The results provide insight into the regional misperceptions and knowledge gaps that could explain the low adoption of SB in a typical emerging green market.Originality/valueThe study showed that the prevalent knowledge about the cost of SB among construction stakeholders are unsupported beliefs and directs attention to emerging issues critical to SBs' adoption in emerging markets.


Author(s):  
Anteneh Ayanso ◽  
Paulo B. Goes ◽  
Kumar Mehta

Relational databases have increasingly become the basis for a wide range of applications that require efficient methods for exploratory search and retrieval. Top-k retrieval addresses this need and involves finding a limited number of records whose attribute values are the closest to those specified in a query. One of the approaches in the recent literature is query-mapping which deals with converting top-k queries into equivalent range queries that relational database management systems (RDBMSs) normally support. This approach combines the advantages of simplicity as well as practicality by avoiding the need for modifications to the query engine, or specialized data structures and indexing techniques to handle top-k queries separately. This paper reviews existing query-mapping techniques in the literature and presents a range query estimation method based on cost modeling. Experiments on real world and synthetic data sets show that the cost-based range estimation method performs at least as well as prior methods and avoids the need to calibrate workloads on specific database contents.


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