scispace - formally typeset
Search or ask a question
Author

Roselane Biangaman de Matos

Bio: Roselane Biangaman de Matos is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 6 citations.

Papers
More filters

Cited by
More filters
Journal ArticleDOI
TL;DR: In this paper, FMEA method was applied for the definition of critical items and the evaluation was conducted by histograms and a control chart, where the principles of PDCA circle were used for the establishment of these improvements.
Abstract: OPERATIONAL QUALITY OF SUGAR CANE PLANTING The association of a good soil correction and tillage, to the good quality on planting provides the proper development for sugar cane crop and guarantees the ratoon longevity. Cost and importance of these operations for the crop development determined the execution of this work, which is to identify the critical factors and to analyze the process of successive improvement on sugar cane planting. For that the work was divided in three steps: the definition of critical items; the evaluation of these items and purposes of improvement; establishment and evaluation of these improvements. FMEA method was applied for the definition of critical items and the evaluation was conducted by histograms and a control chart. Principles of PDCA circle were used for the establishment of these improvements. There were sixteen items (potentials of failures) and two of them were evaluated. It was possible to observe an increasing of the values within the expected limits, with the establishment of the improvements. However, the analyzed items were considered as instable.

27 citations

DissertationDOI
08 Sep 2008
TL;DR: In this article, an integrated performance measurement system for agricultural mechanization management is proposed, based on balanced scorecard and concepts of Fundação Nacional da Qualidade.
Abstract: Proposal of a performance measurement system applied to agricultural mechanization: a study case in sugarcane agro-industrial sector Leader’s organizations of different sectors have a common characteristic, ability to measure your own performance and to use this measurement in an intelligent form to search higher level. In agricultural sector, efforts in that direction are still inexpressive. In function of the importance witch mechanized systems have for agricultural business success, due to your participation on costs and potential for reduction, and the importance of performance measurement in management support, the objective of this research is to propose an integrated performance measurement system for give support to agricultural mechanization management. The methodology was divided in two main phase: adjust of a systemic conceptual model (based in Balanced Scorecard and concepts of Fundação Nacional da Qualidade) and then his development in a practical situation (case study in a sugarcane agro industry). Were found performance indicators associated with: cost and time (traditionally utilized); control and increase in quality of operation and support processes; environment preserve; security, health, satisfaction, motivation and capacitating of employees; information systems development. Concluding, the elaboration of performance measurement system appointed to new indicators to mechanized systems management.

1 citations

01 Jan 2009
TL;DR: In this paper, the Linear Model for Spectral Mixture on CBERS (2 and 2B) satellite images was used for the monitoring of areas with low intensity interventions from human exploration, which will supply the law enforcement actions with precise data to fight against incipient deforestations.
Abstract: The significant growth of timber exploration, on the last 20 years, in the Amazon comes, partially, from the exhaustion of the Brazilian forests located on the south and southeast regions Therefore, it is possible to predict that the timber exploration process, in the Amazon, shall increase even more in the long term To prevent this process from affecting the forestall resources' maintenance, methods and techniques have been proposed, for a sustainable and more rational use of the forest With the use of satellite images, it is possible to estimate the impact of a logging exploration through time, without the need of frequent field visits Although it is more common to use these images to detect totally deforested areas, it is also possible to detect low intensity explorations The objective of this study is to test the Linear Model for Spectral Mixture on CBERS (2 and 2B) satellite images, for the monitoring of areas with low intensity interventions from human exploration This information will supply the law enforcement actions with precise data to fight against incipient deforestations Seen that most of the monitoring and surveillance actions accomplished nowadays have as basis areas that are already deforested, this model may bring an important tool to prevent severe damages to the forest