The Experts below are selected from a list of 99966 Experts worldwide ranked by ideXlab platform

Julio Cesar Mojica Herazo - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of the reverse logistics performance in Civil Construction
    Journal of Cleaner Production, 2020
    Co-Authors: Gabriela Hammes, Eduarda Dutra De Souza, Carlos Manuel Taboada Rodriguez, Rafael Humberto Rojas Millan, Julio Cesar Mojica Herazo
    Abstract:

    Abstract Reverse logistics is responsible for the return of materials to the production process to be reused, recycled, remanufactured, or have an environmentally correct final destination. Every year, Civil Construction generates a large volume of waste that can be recovered through reverse logistics. The performance evaluation of these activities is necessary for managers to know the real efficiency and effectiveness of their actions and to avoid unnecessary expenses and losses. However, this activity is still not widely practiced in developing countries, such as Brazil and Colombia. This research aims to propose a model for the evaluation of LR performance in Civil Construction to assist the practice of return activities in developing countries. Initially, a bibliographic search was performed to find indicators for the model. The reverse flow in the Civil Construction was mapped based on works published in Brazil and Colombia. From this mapping, a 12 indicators model was elaborated to approach supply logistics, internal logistics operations, and the waste management of the Construction companies, in order to evaluate the performance of this sector. Also, these indicators were prioritized through the AHP method. With this prioritization, it is possible to know which indicator deserves greater attention from managers when implementing improvements. As a way to demonstrate applicability, the model was applied in a Brazilian company and other Colombian companies. It was noticeable that the Brazilian company does not have much control of its operations because it was not possible to calculate five indicators of the model due to lack of information, whereas in the Colombian company, only one indicator was not calculated due to lack of information. When analyzing the results obtained, the model provides useful data for the managers when demonstrating where the company is reaching its goals and where improvements in the process are necessary. Both companies have improving their performance in the green purchasing indicator as a priority. Both sets targets that were not met for this indicator, and according to the prioritization made by AHP, this is the point that deserves special attention from both companies. Improvement points deserve special attention from both companies. Therefore they were highlighted for each one of them and also for the model so that it could be applied in other organizations in the sector.

Jenny Wong-welch - One of the best experts on this subject based on the ideXlab platform.

Yoshihiro Adachi - One of the best experts on this subject based on the ideXlab platform.

  • estimation of steel stock in building and Civil Construction by satellite images
    Isij International, 2011
    Co-Authors: Fengchi Hsu, Ichiro Daigo, Yasunari Matsuno, Yoshihiro Adachi
    Abstract:

    Steel is the most widely used material in the world and numerous studies analyzing the material flow of steel have been conducted for Japan, Asia and the world. While top-down and bottom-up approaches have been employed in material flow analysis and steel stock accounting, the applicability of these approaches is largely dependent on data availability. To overcome this problem of limited data, we proposed a method for estimating steel stock based on satellite images. Previous studies have shown that satellite images of nighttime lights are closely correlated with human activities, such as electricity consumption, CO2 emissions, and GDP, etc., which are also linked to the amount of steel stock. Therefore, in this study, images of nighttime lights were used in conjunction with land cover data to estimate the building and Civil Construction steel stock in Japan and other Asian countries. We initially performed the analysis for each prefecture of Japan and then applied the combined result to Japan, China, South Korea and Taiwan. Building steel stock was highly correlated with urban nighttime lights, while the steel stock used for Civil Construction structures was more closely correlated with total nighttime lights.

  • estimation of steel stock in building and Civil Construction by satellite images
    Tetsu To Hagane-journal of The Iron and Steel Institute of Japan, 2010
    Co-Authors: Fengchi Hsu, Ichiro Daigo, Yasunari Matsuno, Yoshihiro Adachi
    Abstract:

    Steel is the most widely used material in the world. Many studies related to material flow analysis of steels have been conducted for Japan, Asian countries and the world. Top-down and bottom-up approaches were used in these material flow analyses and stock accounting. However, applicability of these approaches is quite dependent on data availabilities. To overcome this problem, we proposed a methodology to estimate steel stock based on satellite images. Previous studies told us that night time light images collected by satellites have strong correlation with human activities, e.g. electricity consumption, CO2 emissions, GDP, etc., which also links to the amount of steel stock. In this study, night time light image was used along with land cover data to estimate the building and Civil Construction steel stock in Japan and Asian countries. Analysis was first performed within Japan for each prefecture, and then the result was applied countrywide for Japan, China, South Korea and Taiwan. It was found that the building steel stock showed high relativity with urban night time light while Civil Construction steel stock was better described by total night time light.

Gabriela Hammes - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of the reverse logistics performance in Civil Construction
    Journal of Cleaner Production, 2020
    Co-Authors: Gabriela Hammes, Eduarda Dutra De Souza, Carlos Manuel Taboada Rodriguez, Rafael Humberto Rojas Millan, Julio Cesar Mojica Herazo
    Abstract:

    Abstract Reverse logistics is responsible for the return of materials to the production process to be reused, recycled, remanufactured, or have an environmentally correct final destination. Every year, Civil Construction generates a large volume of waste that can be recovered through reverse logistics. The performance evaluation of these activities is necessary for managers to know the real efficiency and effectiveness of their actions and to avoid unnecessary expenses and losses. However, this activity is still not widely practiced in developing countries, such as Brazil and Colombia. This research aims to propose a model for the evaluation of LR performance in Civil Construction to assist the practice of return activities in developing countries. Initially, a bibliographic search was performed to find indicators for the model. The reverse flow in the Civil Construction was mapped based on works published in Brazil and Colombia. From this mapping, a 12 indicators model was elaborated to approach supply logistics, internal logistics operations, and the waste management of the Construction companies, in order to evaluate the performance of this sector. Also, these indicators were prioritized through the AHP method. With this prioritization, it is possible to know which indicator deserves greater attention from managers when implementing improvements. As a way to demonstrate applicability, the model was applied in a Brazilian company and other Colombian companies. It was noticeable that the Brazilian company does not have much control of its operations because it was not possible to calculate five indicators of the model due to lack of information, whereas in the Colombian company, only one indicator was not calculated due to lack of information. When analyzing the results obtained, the model provides useful data for the managers when demonstrating where the company is reaching its goals and where improvements in the process are necessary. Both companies have improving their performance in the green purchasing indicator as a priority. Both sets targets that were not met for this indicator, and according to the prioritization made by AHP, this is the point that deserves special attention from both companies. Improvement points deserve special attention from both companies. Therefore they were highlighted for each one of them and also for the model so that it could be applied in other organizations in the sector.

Fengchi Hsu - One of the best experts on this subject based on the ideXlab platform.

  • estimation of steel stock in building and Civil Construction by satellite images
    Isij International, 2011
    Co-Authors: Fengchi Hsu, Ichiro Daigo, Yasunari Matsuno, Yoshihiro Adachi
    Abstract:

    Steel is the most widely used material in the world and numerous studies analyzing the material flow of steel have been conducted for Japan, Asia and the world. While top-down and bottom-up approaches have been employed in material flow analysis and steel stock accounting, the applicability of these approaches is largely dependent on data availability. To overcome this problem of limited data, we proposed a method for estimating steel stock based on satellite images. Previous studies have shown that satellite images of nighttime lights are closely correlated with human activities, such as electricity consumption, CO2 emissions, and GDP, etc., which are also linked to the amount of steel stock. Therefore, in this study, images of nighttime lights were used in conjunction with land cover data to estimate the building and Civil Construction steel stock in Japan and other Asian countries. We initially performed the analysis for each prefecture of Japan and then applied the combined result to Japan, China, South Korea and Taiwan. Building steel stock was highly correlated with urban nighttime lights, while the steel stock used for Civil Construction structures was more closely correlated with total nighttime lights.

  • estimation of steel stock in building and Civil Construction by satellite images
    Tetsu To Hagane-journal of The Iron and Steel Institute of Japan, 2010
    Co-Authors: Fengchi Hsu, Ichiro Daigo, Yasunari Matsuno, Yoshihiro Adachi
    Abstract:

    Steel is the most widely used material in the world. Many studies related to material flow analysis of steels have been conducted for Japan, Asian countries and the world. Top-down and bottom-up approaches were used in these material flow analyses and stock accounting. However, applicability of these approaches is quite dependent on data availabilities. To overcome this problem, we proposed a methodology to estimate steel stock based on satellite images. Previous studies told us that night time light images collected by satellites have strong correlation with human activities, e.g. electricity consumption, CO2 emissions, GDP, etc., which also links to the amount of steel stock. In this study, night time light image was used along with land cover data to estimate the building and Civil Construction steel stock in Japan and Asian countries. Analysis was first performed within Japan for each prefecture, and then the result was applied countrywide for Japan, China, South Korea and Taiwan. It was found that the building steel stock showed high relativity with urban night time light while Civil Construction steel stock was better described by total night time light.