Multiple-step numerical modeling to assist aquifer characterization: a case study from the south of Brazil

2020 ◽  
Vol 28 (8) ◽  
pp. 2747-2763
Author(s):  
Fabrizio Rama ◽  
Konrad Miotliński
2015 ◽  
Vol 26 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Tarcísio Abreu Saurin

Purpose – The purpose of this paper is twofold: to classify the risks that affect the lean production implementation (LPI) process, and to demonstrate how that classification can help to identify the relationships between the risks. Design/methodology/approach – Initially, a survey was conducted to identify the probability and impact of 14 risks in LPI, which had been identified based on a literature review. The sample comprised 57 respondents, from companies in the south of Brazil. An exploratory factor analysis was carried out to analyze the results of the survey, allowing the identification of three groups of risks in LPI. Then, a case study was conducted in one of the companies represented in the survey, in order to identify examples of relationships between the risks. Multiple sources of evidence were used in the case study, such as interviews, observations and documents analysis. Findings – The risks that affect LPI were grouped into three categories: management of the process of LPI, top and middle management support and shop floor involvement. A number of examples of relationships between the risks were identified. Research limitations/implications – The survey was limited to companies from the south of Brazil and therefore its results cannot be completelly generalized to other companies. Moreover, the results of the survey were not subjected to a confirmatory factor analysis. Originality/value – This study helps to improve the understanding of LPI, as: it re-interprets the factors, barriers and difficulties for LPI from the perspective of risk management, which had not been used for that purpose so far; it presents a classification of the risks that affect LPI, which can support the understanding of the relationships between the risks and, as a result, it can support the development of more effective methods for LPI.


2020 ◽  
Vol 29 (4) ◽  
pp. 334-352
Author(s):  
Ambra Palazzi ◽  
Rita Meschini ◽  
Marina Dal Magro Medeiros ◽  
Cesar Augusto Piccinini

Author(s):  
Alcindo Neckel ◽  
Laércio Stolfo Maculan ◽  
Anaise Breda ◽  
Daniela Maroni ◽  
Edilaine Cristina Becker ◽  
...  

Author(s):  
Ana Clara Mourão Moura ◽  
Francisco Henrique de Oliveira ◽  
Thobias Furlanetti ◽  
Regina Panceli ◽  
Elna Fatima Pires de Oliveira ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2474
Author(s):  
Lucas Lepinski Golin Freitas ◽  
Andreza Kalbusch ◽  
Elisa Henning ◽  
Olga Maria Formigoni Carvalho Walter

This manuscript proposes the usage of Statistical Control Charts (SCC) to monitor water consumption in buildings. The charts were employed to study the impact of replacing toilets, providing visual and statistical feedback to measure the efficiency gain resulting from the replacement of outdated flushing equipment with newer devices. The case study was conducted in a building from a university in the South of Brazil. The building has four restrooms, from which a total of 41,554 readings were collected during a 15-month period using digital water meters. After the toilets were replaced, a reduction averaging 30.22% in water consumption was observed (from 7.51 L/flush/day to 5.24 L/flush/day). Additionally, the control charts were able to pinpoint dates when unique events happened during the water-consumption monitoring process.


2013 ◽  
Vol 12 (11) ◽  
pp. 2239-2247 ◽  
Author(s):  
Guomin Li ◽  
Haizhen Xu ◽  
Ming Li ◽  
Shouquan Zhang ◽  
Yanhui Dong ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document