scholarly journals A reliability engineering case study of sugarcane harvesters

2020 ◽  
Vol 27 (4) ◽  
Author(s):  
Diego Carvalho do Nascimento ◽  
Pedro Luiz Ramos ◽  
André Ennes ◽  
Camila Cocolo ◽  
Márcio José Nicola ◽  
...  
Keyword(s):  
Tracking System ◽  
Meteorological Data ◽  
Reliability Engineering ◽  
Embedded Computer ◽  
Equipment Failures ◽  
Process Failures ◽  
A Company ◽  
Different Sources ◽  
Two Machines

Abstract: The present study aimed to analyze factors associated with the equipment failures of the sugarcane harvester, whose machineries has high importance in the harvest process and cost involved. Part of the data was originally provided by a company located in the countryside of Sao Paulo State, from two machines, collected from January 2015 to August 2017, corresponding to 2.5 crops. The overall dataset was obtained from three different sources: a stop-tracking system, which provides the track of a preventive and corrective maintenance historical of the analyzed equipment; telemetry data of the equipment, captured through embedded computer systems, installed in the machine’ type under study, which provide information on its operation; and meteorological data from the Brazilian National Institute of Meteorology. Multivariate analyzes were used such as principal components and multiple regression models, therefore creating a model for prediction considering the next equipment’ break, then pointing to causes of process failures. Thus, the results point to some improvements concerned with individualized reliability scheme in order to reduce the number of corrective stops given the equipment.

Implementation of Booking Performance Application Using Bootstrap Case Study in PT XYZ

2019 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Arfan Sansprayada ◽  
Kartika Mariskhana
Keyword(s):  
Information System ◽  
Business Processes ◽  
System Development ◽  
Basic Requirement ◽  
Application Development ◽  
Information System Development ◽  
Special Expertise ◽  
A Company ◽  
Need For Information

Abstract—The need for information system development in a company is a basic requirement that must be met by each company in order to run its business processes properly. This is the basic key in a company in order to provide maximum results to find as many profits or profits. Application development or requirements in the application also provide speed for employees to carry out their activities to work properly and optimally. The development of the era requires that companies must be productive and have innovations so that the business wheel of the company can run well. This is based on the development of technology that is so fast that it requires special expertise in its application. This research is expected to be able to help some problems that exist in a company. Where its application can make it easier for employees to carry out their respective duties and roles in order to maximize their potential. For companies, the application of this application can accommodate the company's business wheels so that they can be properly and correctly documented .   Keywords : Systems, Information, Applications

Implementing Reforms

2017 ◽  
Author(s):  
Nils Brunsson
Keyword(s):  
Board Of Directors ◽  
Government Service ◽  
Radical Reform ◽  
Administrative Reforms ◽  
The Board Of Directors ◽  
The Relationship ◽  
A Company

This chapter continues to analyze the relationship between decision and action using a case study on Swedish Rail (Statens Järnvägar, SJ). In February 1987, the board of directors of SJ met to consider a plan drawn up by an international consultancy company to implement a radical reform, the ‘New SJ’. The basic idea was to make the company more businesslike. SJ was to be run as a company and not as a government service, and its corporate aim was to be a profitable business. The chapter addresses the question of why reforms may be difficult to implement. It suggests that there are certain fundamental and common characteristics of administrative reforms which make them difficult to implement by nature.

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

scholarly journals Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit

Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 150
Author(s):  
Nilgün Güdük ◽  
Miguel de la Varga ◽  
Janne Kaukolinna ◽  
Florian Wellmann
Keyword(s):  
Structural Parameters ◽  
Rock Properties ◽  
Magnetic Data ◽  
Geological Model ◽  
Borehole Data ◽  
Likelihood Functions ◽  
Different Types ◽  
Geophysical Information ◽  
Different Sources

Structural geological models are widely used to represent relevant geological interfaces and property distributions in the subsurface. Considering the inherent uncertainty of these models, the non-uniqueness of geophysical inverse problems, and the growing availability of data, there is a need for methods that integrate different types of data consistently and consider the uncertainties quantitatively. Probabilistic inference provides a suitable tool for this purpose. Using a Bayesian framework, geological modeling can be considered as an integral part of the inversion and thereby naturally constrain geophysical inversion procedures. This integration prevents geologically unrealistic results and provides the opportunity to include geological and geophysical information in the inversion. This information can be from different sources and is added to the framework through likelihood functions. We applied this methodology to the structurally complex Kevitsa deposit in Finland. We started with an interpretation-based 3D geological model and defined the uncertainties in our geological model through probability density functions. Airborne magnetic data and geological interpretations of borehole data were used to define geophysical and geological likelihoods, respectively. The geophysical data were linked to the uncertain structural parameters through the rock properties. The result of the inverse problem was an ensemble of realized models. These structural models and their uncertainties are visualized using information entropy, which allows for quantitative analysis. Our results show that with our methodology, we can use well-defined likelihood functions to add meaningful information to our initial model without requiring a computationally-heavy full grid inversion, discrepancies between model and data are spotted more easily, and the complementary strength of different types of data can be integrated into one framework.

scholarly journals Regression Models for Soil Water Storage Estimation Using the ESA CCI Satellite Soil Moisture Product: A Case Study in Northeast Portugal

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Tomás de Figueiredo ◽  
Ana Caroline Royer ◽  
Felícia Fonseca ◽  
Fabiana Costa de Araújo Schütz ◽  
Zulimar Hernández
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Regression Models ◽  
Meteorological Data ◽  
Water Storage ◽  
Model Performance ◽  
Soil Water Balance ◽  
Soil Water Storage ◽  
The Relationship

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.

scholarly journals A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions

2021 ◽  
Vol 13 (15) ◽  
pp. 8263
Author(s):  
Marius Bodor
Keyword(s):  
Particulate Matter ◽  
Meteorological Data ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Indoor Location ◽  
Particle Matter ◽  
Indoor Particulate Matter

An important aspect of air pollution analysis consists of the varied presence of particulate matter in analyzed air samples. In this respect, the present work aims to present a case study regarding the evolution in time of quantified particulate matter of different sizes. This study is based on data acquisitioned in an indoor location, already used in a former particulate matter-related article; thus, it can be considered as a continuation of that study, with the general aim to demonstrate the necessity to expand the existing network for pollution monitoring. Besides particle matter quantification, a correlation of the obtained results is also presented against meteorological data acquisitioned by the National Air Quality Monitoring Network. The transformation of quantified PM data in mass per volume and a comparison with other results are also addressed.

“I am not a guinea pig”: Parental opportunity hoarding and tracking reform in Germany

2021 ◽  
Vol 16 (1) ◽  
pp. 64-82
Author(s):  
Lana Apple ◽  
Mira Debs
Keyword(s):  
Social Capital ◽  
Discourse Analysis ◽  
Guinea Pig ◽  
Education System ◽  
Educational Inequality ◽  
Tracking System ◽  
School Structure ◽  
Student Background ◽  
Achievement Outcomes

PISA test data from 2000 to today have shown Germany’s education system is one of the most inequitable within the OECD, with high correlations between student background and achievement outcomes. Scholars have identified the highly differentiated school structure, which tracks students as young as 10 years old, as a central cause. This scholarship has not evaluated why German tracking has proved difficult to reform over the last 20 years, despite evidence of negative outcomes. Using a case study of parents’ actions in Hamburg, this paper employs a discourse analysis of debates surrounding a tracking reform to argue that opportunity hoarding—that is, parents with more social capital maintaining certain advantages through ingrained systems that are theoretically open to all—may contribute to why Germany’s early tracking system persists despite evidence showing that it increases educational inequality. The findings presented have implications for an international discussion of tracking reform and opportunity hoarding.

Integrating demographic and meteorological data in urban ecology: a case study of container-breeding mosquitoes in temperate Argentina

Area ◽  
2014 ◽  
Vol 46 (1) ◽  
pp. 18-26 ◽  
Author(s):  
María Victoria Cardo ◽  
Darío Vezzani ◽  
Alejandra Rubio ◽  
Aníbal E Carbajo
Keyword(s):  
Urban Ecology ◽  
Meteorological Data

Territorial capital as a company intangible

2016 ◽  
Vol 17 (1) ◽  
pp. 148-167 ◽  
Author(s):  
Mariachiara Barzotto ◽  
Giancarlo Corò ◽  
Mario Volpe
Keyword(s):  
Great Difficulty ◽  
Future Research ◽  
Manufacturing Companies ◽  
Policy Makers ◽  
Content Type ◽  
Capital Growth ◽  
Multiple Case ◽  
Definition Of ◽  
A Company

Purpose – The purpose of this paper is twofold. First, to explore to what extent being located in a territory is value-relevant for a company. Second, to understand if a company is aware of, and how it can sustain, the territorial tangible and intangible assets present in the economic area in which it is located. Design/methodology/approach – The study presents an empirical multiple case-study, investigating ten mid-/large-sized Italian companies in manufacturing sectors. Findings – The results indicate that the sampled manufacturing companies are intertwined with the environment in which they are embedded, both in their home country and in host ones. The domestic territorial capital has provided, and still provides, enterprises with workers endowed with the necessary technical skills that they can have great difficulty in finding in other places. In turn, companies support territorial capital generation through their activities. Research limitations/implications – To increase the generalisability of the results, future research should expand the sample and examine firms based in different countries and sectors. Practical implications – Implications for policy makers: developing effective initiatives to support and guide a sustainable territorial capital growth. Implications for managers and investors: improving managerial and investors’ decisions by disclosing a complete picture of the enterprise, also outside the firm boundaries. Originality/value – The study contributes to intangibles/intellectual capital literature by shedding light on the importance of including territorial capital in a company’s report to improve the definition of the firm’s value. Accounting of the territorial capital would increase the awareness of the socio-economic environment value in which companies are located and its use.

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