scholarly journals Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review

2017 ◽  
Vol 196 ◽  
pp. 270-277 ◽  
Author(s):  
Moein Barakchi ◽  
Olav Torp ◽  
Alemu Moges Belay
Author(s):  
Claudio Favi ◽  
Federico Campi ◽  
Marco Mandolini ◽  
Irene Martinelli ◽  
Michele Germani

AbstractEngineering design shows a growing interest in exploring cost analysis to anticipate manufacturing issues and integrate production aspects within the product development process. This research aims to highlight key elements (inputs, parameters, models) to accurately predict the cost of a forged part using a complete model, with important information that can be available during the design phase. For this purpose, a systematic literature review of existing engineering methodologies developed for cost analysis of forged parts (i.e., cost estimation, DtC, and ABC) was performed with characterizations of the different approaches for evaluating the most important topics related to this objective. As a result, the most important insights related to the aim of this review are provided: (i) among quantitative methods, analytical and parametric models are the most suitable approaches to develop a cost estimation, (ii) a cost model based on a linear equation supported by single or multiple variables seems to be the most accurate tool to establish a robust cost analysis in the design of forged components, and (iii) input parameters related to the material type and geometrical features are the most critical cost-drivers in the cost assessment. Moreover, this review contributes to identifying emerging applications and obsolete topics, providing the ground to investigate unexplored areas relevant to future research.


2021 ◽  
Vol 14 (1) ◽  
pp. 31-49
Author(s):  
Alexandru Drăgan ◽  
Uwe Götze

This paper aims to provide a comparison of different methods for the process of effort and cost estimation used by an IT company in IT-projects. Based on a literature review on the topic of effort estimation methods, the tool for effort and cost estimation operated by project management teams is getting investigated for the purpose of further improvement. The findings obtained are derived and presented to the involved parties as well as to other stakeholders that might benefit from this research results.


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1789
Author(s):  
André Barriguinha ◽  
Miguel de Castro Neto ◽  
Artur José Freire Gil

Purpose—knowing in advance vineyard yield is a critical success factor so growers and winemakers can achieve the best balance between vegetative and reproductive growth. It is also essential for planning and regulatory purposes at the regional level. Estimation errors are mainly due to the high inter-annual and spatial variability and inadequate or poor performance sampling methods; therefore, improved applied methodologies are needed at different spatial scales. This paper aims to identify the alternatives to traditional estimation methods. Design/methodology/approach—this study consists of a systematic literature review of academic articles indexed on four databases collected based on multiple query strings conducted on title, abstract, and keywords. The articles were reviewed based on the research topic, methodology, data requirements, practical application, and scale using PRISMA as a guideline. Findings—the methodological approaches for yield estimation based on indirect methods are primarily applicable at a small scale and can provide better estimates than the traditional manual sampling. Nevertheless, most of these approaches are still in the research domain and lack practical applicability in real vineyards by the actual farmers. They mainly depend on computer vision and image processing algorithms, data-driven models based on vegetation indices and pollen data, and on relating climate, soil, vegetation, and crop management variables that can support dynamic crop simulation models. Research limitations—this work is based on academic articles published before June 2021. Therefore, scientific outputs published after this date are not included. Originality/value—this study contributes to perceiving the approaches for estimating vineyard yield and identifying research gaps for future developments, and supporting a future research agenda on this topic. To the best of the authors’ knowledge, it is the first systematic literature review fully dedicated to vineyard yield estimation, prediction, and forecasting methods.


Identifying prone road traffic accidents (PRTA) has been based on the total number of accidents data. Determining road names that have not been appropriately approved makes the data biased. Many researchers have reviewed many factors, spatial methods of analysis, and ways to improve past traffic strategies. The searching method with a systematic literature review (SLR) was conducted on seven publishers of the traffic accident classification database. They are ACM Digital Library, IEEE e-Xplore, ScienceDirect, Springer, Sage, Taylor & Francis, and Wiley, then produced 189 major relevant studies to the findings of this study. SLR is used to find the most relevant journals, research topics, trends in the field, multi-criteria spatial dataset parameters, estimation methods, trends, the best methods currently, proposed improvement methods, and the most commonly used efforts to determine in a collection of road traffic accidents. The study results obtained that multi-criteria spatial data were developed in different spatial analyses. The SLR mapping results found gaps for hybrid two types of classification methods on multi-criteria decision making (MCDM) and Spatial Multi-level Classification. The consistency test of many methods is done by the Consistency Test Method (MCT), the value of Precision-Recall Accuracy (ARC), and Site Consistency Test (SCT).


2014 ◽  
Author(s):  
Heather T. Snyder ◽  
Maggie R. Boyle ◽  
Lacey Gosnell ◽  
Julia A. Hammond ◽  
Haley Huey

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