aurora patricia piñeres castillo | Universidad de la Costa (original) (raw)
Papers by aurora patricia piñeres castillo
Abstract In recent years, the increasing demand for autonomous vehicles in the mining industry ha... more Abstract
In recent years, the increasing demand for autonomous vehicles in the mining industry has led to a greater focus on integrating these solutions with mine design. As technology advances, mining companies are looking to maximize the benefits of automation in terms of efficiency, productivity, and safety. The adoption of autonomous vehicles in mine design allows for the optimization of planning and operation of mining activities. Autonomous equipment can work continuously, reducing downtime and improving resource utilization. This has a direct impact on the overall equipment effectiveness (OEE), as availability and performance are significantly enhanced.
In this research, the overall equipment effectiveness (OEE) of an Autonomous Haulage System (AHS) and its impact on the design of an open-pit mine were evaluated at the engineering level in Chile. Additionally, a representative month of operation (January 2034) was modeled using discrete event simulation technique with current operation and AHS philosophies. The results of this model, which were validated and calibrated based on historical information, meetings with different work groups, and understanding of the engineering level of the study, indicate that the OEE of manual operation is 14.4% lower than that of AHS operation, demonstrating an opportunity for the implementation of this technology.
Human Factors and Ergonomics in Manufacturing & Service Industries, 2018
Advances in Intelligent Systems and Computing, 2019
This paper discusses a strategy for establishing an energy consumption baseline for the effects o... more This paper discusses a strategy for establishing an energy consumption baseline for the effects of defining and applying new strategies to improve the effectiveness of energy savings measures. Through this analysis, the energy baseline is adjusted to the dynamics of a typical operation, reducing uncertainty about operating data when it is not possible to determine that a given energy consumption level is typical. The strategy enables focusing efforts on the points in the operation with greatest impact on energy efficiency as a function of frequency of operation.
Management and Industrial Engineering, 2018
As more companies embrace the concept of Lean Manufacturing (LM), universities should consider ch... more As more companies embrace the concept of Lean Manufacturing (LM), universities should consider changing their curricula since there is a high likelihood that students will participate in some aspects of LM as they begin their professional careers. Thus, it is important to provide appropriate learning experiences to prepare students prior to LM. However, students may learn through several ways and teaching LM has proved to be extremely challenging, especially for engineering students who are not used to abstractions. This paper aims at examining the association between different LM teaching methods and students’ learning preferences to increase their performance in courses. To achieve that, 76 graduate students from Industrial Engineering, who participated in two LM courses with different teaching methods were assessed according to their learning preferences and performance. Each LM course had a specific teaching approach: (i) classroom lectures and exercises (classified as traditional teaching methods), and (ii) problem-based learning (PBL) in real-world problems from companies undergoing an LM implementation. From the eight hypotheses formulated for this study, our results verified four of them, being two for each LM teaching method applied. Further, the effect of the learning dimension “information perception” seems to be more extensive than the others, since students’ performance in both teaching methods is significantly associated with it. The mix between active learning methods and traditional teaching methods may facilitate dialogical learning, encouraging collaboration between students and facilitate the transfer of knowledge on LM.
Efficient energy management has a significant impact on the achievement of the sustainable develo... more Efficient energy management has a significant impact on the achievement of the sustainable development goals; therefore it has become a challenge for nations and all sectors of the economy, who over the last decades have advanced in the creation of methodologies to evaluate
and improve it, however, it is remarkable that, in countries with emerging economies, this practice is still incipient, particularly at the business level where its scarce implementation stands out. After reviewing the available literature on methodologies for evaluating efficient energy management it is evident that each one presents structures and methods of measurement with different degrees of complexity, therefore, it is necessary to consolidate the information available on them, describing their components and analysing their convergences and divergences in such a way that the factors that have the greatest impact on the efficient management of energy can be extracted. This paper provides a systematic review of the literature on energy management measurement methodologies, presenting a characterization of the components of each such as; the levels or degrees of compliance they propose and the differential approaches that they possess, all this in order to contribute to the line of research and lay the foundations for the updating of existing measurement methods. Likewise, the structure that supports the efficient management of energy in Colombia is presented in general features, and the actions that have been taken to bring it to the organizational level.
METHODOLOGICAL APPROACH TO IMPROVE ENERGY EFFICIENCY BY CONCENTRATING OPERATION POINTS AN ELECTRICAL TRANSFORMER MAINTENANCE COMPANY, 2021
In recent years, companies have developed strategies to improve the environment through the effic... more In recent years, companies have developed strategies to improve the environment through the efficient use of their energy resources (Rodríguez Toscano et al., 2019). This practice has been widely used in the goods manufacturing and transformation industry, but many opportunities for improvement remain in the services sector. In this context, this study offers a methodological and analytical approach to improve energy efficiency at a company that provides electric transformer maintenance services, based on performance of energy planning, analysis of concentration of operation points, and the implementation of operational and technological improvements to the processes. The results display total energy savings of 7% after implementation of the operational and technological improvements on only 23% of the company’s energy-intensive equipment.
Estimation and trends of the absorption refrigeration global market, 2021
This study presents the evolution and economic development of the global market for absorption re... more This study presents the evolution and economic development of the global market for absorption refrigeration systems. The article reviews trends in demand for high and low-power absorption refrigeration systems. High growth potential was found in low-power absorption refrigeration systems in the global market. An important finding is that the most widely installed systems in the world are those of single effect and double effect, due to their cost/benefit ratio. It also reviews the relations and trends of companies that manufacture this technology.
Design of lean manufacturing-based strategies to improve the production process of a metalworking company, 2021
The objective of this research is to design strategies based on lean manufacturing principles in ... more The objective of this research is to design strategies based on lean manufacturing principles in order to improve the efficiency of the production process of a metalworking company. Lean manufacturing is a continuous improvement philosophy that aims to eliminate or reduce, through different tools, all types of waste found in a production process. During the project, a detailed analysis of the production processes was carried out; with operations diagrams, Pareto charts, Ishikawa diagrams, VSM, among others. With these, it was possible to determine the different problems present in anchor rods and clamps production lines. According to the project's progress, each of the improvement strategies was developed, proving its functionality and utility for productivity and cost reduction. Finally, the waste reductions generated by each strategy were calculated, and then the benefits and the investment required for the implementation of the strategies, justified by the cost-benefit analysis.
Elsevier, 2020
This research focuses on determining the potential of biogas generation for combustion from the Z... more This research focuses on determining the potential of biogas generation for combustion from the Zungo pig manure (manure mixture of the three sizes of the pig in a proportion of 33.33% for each size) located in the department of the Atlantic-Colombia. The properties of the biogas obtained were evaluated with a gas analyzer and a chromatograph, demonstrating that, under controlled temperature conditions, after the bio digestion of Zungo pig manure there is a methane content greater than 50%, which is acceptable demonstrating that this biogas is flammable. It was also established that there is a correlation between pH and methane content in biogas, so it is required to control it in the process
Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies, 2020
Retail store operations face a variety of challenges and complexities. Determining the best assor... more Retail store operations face a variety of challenges and complexities. Determining the best assortment is the main problem in the retail store. This re-search presents a practical methodology for the analysis of products in the assortment with the goal of reducing the excess items and improve sales and profit margin of a retail store without affecting customer satisfaction. The methodology integrates 6 steps that allow to optimize products of a portfolio in categories, sub categories and segments, through Pareto analysis and clustering analysis using the BCG matrix. The methodology was applied in an independent supermarket. The results in the case of the application for non-perishable products, allowed to identify a set of different products (n = 152), of which they were prioritized in a subcategory (oils) in which 90 products were prioritized. In the example, it shows how 21 products have significant results in the variety of products. The combination of the global and local category of the product, the net profit, the inventory rotation and the participation of the growth provides a multifactorial analysis in the decision-making to supply with products a retail store seeking to increase the level of service and maximizing profits.
This paper discusses a strategy for establishing an energy consumption baseline for the effects o... more This paper discusses a strategy for establishing an energy consumption baseline for the effects of defining and applying new strategies to improve the effectiveness of energy savings measures. Through this analysis, the energy baseline is adjusted to the dynamics of a typical operation, reducing uncertainty about operating data when it is not possible to determine that a given energy consumption level is typical. The strategy enables focusing efforts on the points in the operation with greatest impact on energy efficiency as a function of frequency of operation.
Sociotechnical (ST) theory emphasizes the notion that the design and performance of new systems c... more Sociotechnical (ST) theory emphasizes the notion that the design and performance of new systems can be improved, and can only work satisfactorily within an organization if the social and the technical aspects are brought together and treated as interdependent aspects of a work system. The implementation of lean manufacturing (LM) principles and practices has become popular, despite increasing demand on the current and emerging workforce to achieve higher levels of quality and flexibility with lower costs. Exploratory studies that investigate how LM practices influence the effect of ST practices on performance are still scarce, and a holistic view of such a relationship is needed. In this context, this study aims at verifying the moderating effect of just-in-time (JIT) practices on the relationship between ST practices and the performance of quality and workersʼ health. We carried out a survey with 144 different companies from Southern Brazil that are undergoing a lean implementation. Results indicate that ST practices have a positive significant relationship with such performance, and the concurrent adoption of JIT does not undermine quality and workersʼ health. Highlights Just-in-time moderating effect on sociotechnical practices and quality and workersʼ health K E Y W O R D S just-in-time (JIT), quality, sociotechnical (ST) practices, workersʼ health
Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weigh... more Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weight is below LSL (Lower Specification Level) may increase customer complaints and financial sanctions. On the other hand, net weights above USL (Upper Specification Limit) represent significant economic burdens for the companies associated with this sector. Therefore, this paper focuses on the application of statistical experimental design and response surface methodologies to reduce the variability in net weight of canned tuna. First, the effects of two factors: Tomato Sauce Temperature (65°C-70°C, 70°C-75°C and 75°C-80°C), Conveyor Belt Speed (135 rpm, 140 rpm, and 145 rpm) and their interactions, were assessed via applying the 3 k factorial design. Then, a response surface analysis was performed to define the optimal conditions for the canning process. Finally, a bivariate regression analysis was carried out to develop a predictive model for average standard deviation of net weight per unit. In this case, the results demonstrated that both interaction and factors were found to be statistically significant (P-value < 0.05). Additionally, it is shown that the regression model is capable of predicting the response variable with high accuracy (Q 2 = 89.89%).
Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weigh... more Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weight is below LSL (Lower Specification Level) may increase customer complaints and financial sanctions. On the other hand, net weights above USL (Upper Specification Limit) represent significant economic burdens for the companies associated with this sector. Therefore, this paper focuses on the application of statistical experimental design and response surface methodologies to reduce the variability in net weight of canned tuna. First, the effects of two factors: Tomato Sauce Temperature (65°C-70°C, 70°C-75°C and 75°C-80°C), Conveyor Belt Speed (135 rpm, 140 rpm, and 145 rpm) and their interactions, were assessed via applying the 3 k factorial design. Then, a response surface analysis was performed to define the optimal conditions for the canning process. Finally, a bivariate regression analysis was carried out to develop a predictive model for average standard deviation of net weight per unit. In this case, the results demonstrated that both interaction and factors were found to be statistically significant (P-value < 0.05). Additionally, it is shown that the regression model is capable of predicting the response variable with high accuracy (Q 2 = 89.89%).
Books by aurora patricia piñeres castillo
Association between lean manufacturing teaching methods and students’ learning preferences, 2018
As more companies embrace the concept of Lean Manufacturing (LM), universities should consider ch... more As more companies embrace the concept of Lean Manufacturing (LM), universities should consider changing their curricula since there is a high likelihood that students will participate in some aspects of LM as they begin their professional careers. Thus, it is important to provide appropriate learning experiences to prepare students prior to LM. However, students may learn through several ways and teaching LM has proved to be extremely challenging, especially for engineering students who are not used to abstractions. This paper aims at examining the association between different LM teaching methods and students’ learning preferences to increase their performance in courses. To achieve that, 76 graduate students from Industrial Engineering, who participated in two LM courses with different teaching methods were assessed according to their learning preferences and performance.
Abstract In recent years, the increasing demand for autonomous vehicles in the mining industry ha... more Abstract
In recent years, the increasing demand for autonomous vehicles in the mining industry has led to a greater focus on integrating these solutions with mine design. As technology advances, mining companies are looking to maximize the benefits of automation in terms of efficiency, productivity, and safety. The adoption of autonomous vehicles in mine design allows for the optimization of planning and operation of mining activities. Autonomous equipment can work continuously, reducing downtime and improving resource utilization. This has a direct impact on the overall equipment effectiveness (OEE), as availability and performance are significantly enhanced.
In this research, the overall equipment effectiveness (OEE) of an Autonomous Haulage System (AHS) and its impact on the design of an open-pit mine were evaluated at the engineering level in Chile. Additionally, a representative month of operation (January 2034) was modeled using discrete event simulation technique with current operation and AHS philosophies. The results of this model, which were validated and calibrated based on historical information, meetings with different work groups, and understanding of the engineering level of the study, indicate that the OEE of manual operation is 14.4% lower than that of AHS operation, demonstrating an opportunity for the implementation of this technology.
Human Factors and Ergonomics in Manufacturing & Service Industries, 2018
Advances in Intelligent Systems and Computing, 2019
This paper discusses a strategy for establishing an energy consumption baseline for the effects o... more This paper discusses a strategy for establishing an energy consumption baseline for the effects of defining and applying new strategies to improve the effectiveness of energy savings measures. Through this analysis, the energy baseline is adjusted to the dynamics of a typical operation, reducing uncertainty about operating data when it is not possible to determine that a given energy consumption level is typical. The strategy enables focusing efforts on the points in the operation with greatest impact on energy efficiency as a function of frequency of operation.
Management and Industrial Engineering, 2018
As more companies embrace the concept of Lean Manufacturing (LM), universities should consider ch... more As more companies embrace the concept of Lean Manufacturing (LM), universities should consider changing their curricula since there is a high likelihood that students will participate in some aspects of LM as they begin their professional careers. Thus, it is important to provide appropriate learning experiences to prepare students prior to LM. However, students may learn through several ways and teaching LM has proved to be extremely challenging, especially for engineering students who are not used to abstractions. This paper aims at examining the association between different LM teaching methods and students’ learning preferences to increase their performance in courses. To achieve that, 76 graduate students from Industrial Engineering, who participated in two LM courses with different teaching methods were assessed according to their learning preferences and performance. Each LM course had a specific teaching approach: (i) classroom lectures and exercises (classified as traditional teaching methods), and (ii) problem-based learning (PBL) in real-world problems from companies undergoing an LM implementation. From the eight hypotheses formulated for this study, our results verified four of them, being two for each LM teaching method applied. Further, the effect of the learning dimension “information perception” seems to be more extensive than the others, since students’ performance in both teaching methods is significantly associated with it. The mix between active learning methods and traditional teaching methods may facilitate dialogical learning, encouraging collaboration between students and facilitate the transfer of knowledge on LM.
Efficient energy management has a significant impact on the achievement of the sustainable develo... more Efficient energy management has a significant impact on the achievement of the sustainable development goals; therefore it has become a challenge for nations and all sectors of the economy, who over the last decades have advanced in the creation of methodologies to evaluate
and improve it, however, it is remarkable that, in countries with emerging economies, this practice is still incipient, particularly at the business level where its scarce implementation stands out. After reviewing the available literature on methodologies for evaluating efficient energy management it is evident that each one presents structures and methods of measurement with different degrees of complexity, therefore, it is necessary to consolidate the information available on them, describing their components and analysing their convergences and divergences in such a way that the factors that have the greatest impact on the efficient management of energy can be extracted. This paper provides a systematic review of the literature on energy management measurement methodologies, presenting a characterization of the components of each such as; the levels or degrees of compliance they propose and the differential approaches that they possess, all this in order to contribute to the line of research and lay the foundations for the updating of existing measurement methods. Likewise, the structure that supports the efficient management of energy in Colombia is presented in general features, and the actions that have been taken to bring it to the organizational level.
METHODOLOGICAL APPROACH TO IMPROVE ENERGY EFFICIENCY BY CONCENTRATING OPERATION POINTS AN ELECTRICAL TRANSFORMER MAINTENANCE COMPANY, 2021
In recent years, companies have developed strategies to improve the environment through the effic... more In recent years, companies have developed strategies to improve the environment through the efficient use of their energy resources (Rodríguez Toscano et al., 2019). This practice has been widely used in the goods manufacturing and transformation industry, but many opportunities for improvement remain in the services sector. In this context, this study offers a methodological and analytical approach to improve energy efficiency at a company that provides electric transformer maintenance services, based on performance of energy planning, analysis of concentration of operation points, and the implementation of operational and technological improvements to the processes. The results display total energy savings of 7% after implementation of the operational and technological improvements on only 23% of the company’s energy-intensive equipment.
Estimation and trends of the absorption refrigeration global market, 2021
This study presents the evolution and economic development of the global market for absorption re... more This study presents the evolution and economic development of the global market for absorption refrigeration systems. The article reviews trends in demand for high and low-power absorption refrigeration systems. High growth potential was found in low-power absorption refrigeration systems in the global market. An important finding is that the most widely installed systems in the world are those of single effect and double effect, due to their cost/benefit ratio. It also reviews the relations and trends of companies that manufacture this technology.
Design of lean manufacturing-based strategies to improve the production process of a metalworking company, 2021
The objective of this research is to design strategies based on lean manufacturing principles in ... more The objective of this research is to design strategies based on lean manufacturing principles in order to improve the efficiency of the production process of a metalworking company. Lean manufacturing is a continuous improvement philosophy that aims to eliminate or reduce, through different tools, all types of waste found in a production process. During the project, a detailed analysis of the production processes was carried out; with operations diagrams, Pareto charts, Ishikawa diagrams, VSM, among others. With these, it was possible to determine the different problems present in anchor rods and clamps production lines. According to the project's progress, each of the improvement strategies was developed, proving its functionality and utility for productivity and cost reduction. Finally, the waste reductions generated by each strategy were calculated, and then the benefits and the investment required for the implementation of the strategies, justified by the cost-benefit analysis.
Elsevier, 2020
This research focuses on determining the potential of biogas generation for combustion from the Z... more This research focuses on determining the potential of biogas generation for combustion from the Zungo pig manure (manure mixture of the three sizes of the pig in a proportion of 33.33% for each size) located in the department of the Atlantic-Colombia. The properties of the biogas obtained were evaluated with a gas analyzer and a chromatograph, demonstrating that, under controlled temperature conditions, after the bio digestion of Zungo pig manure there is a methane content greater than 50%, which is acceptable demonstrating that this biogas is flammable. It was also established that there is a correlation between pH and methane content in biogas, so it is required to control it in the process
Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies, 2020
Retail store operations face a variety of challenges and complexities. Determining the best assor... more Retail store operations face a variety of challenges and complexities. Determining the best assortment is the main problem in the retail store. This re-search presents a practical methodology for the analysis of products in the assortment with the goal of reducing the excess items and improve sales and profit margin of a retail store without affecting customer satisfaction. The methodology integrates 6 steps that allow to optimize products of a portfolio in categories, sub categories and segments, through Pareto analysis and clustering analysis using the BCG matrix. The methodology was applied in an independent supermarket. The results in the case of the application for non-perishable products, allowed to identify a set of different products (n = 152), of which they were prioritized in a subcategory (oils) in which 90 products were prioritized. In the example, it shows how 21 products have significant results in the variety of products. The combination of the global and local category of the product, the net profit, the inventory rotation and the participation of the growth provides a multifactorial analysis in the decision-making to supply with products a retail store seeking to increase the level of service and maximizing profits.
This paper discusses a strategy for establishing an energy consumption baseline for the effects o... more This paper discusses a strategy for establishing an energy consumption baseline for the effects of defining and applying new strategies to improve the effectiveness of energy savings measures. Through this analysis, the energy baseline is adjusted to the dynamics of a typical operation, reducing uncertainty about operating data when it is not possible to determine that a given energy consumption level is typical. The strategy enables focusing efforts on the points in the operation with greatest impact on energy efficiency as a function of frequency of operation.
Sociotechnical (ST) theory emphasizes the notion that the design and performance of new systems c... more Sociotechnical (ST) theory emphasizes the notion that the design and performance of new systems can be improved, and can only work satisfactorily within an organization if the social and the technical aspects are brought together and treated as interdependent aspects of a work system. The implementation of lean manufacturing (LM) principles and practices has become popular, despite increasing demand on the current and emerging workforce to achieve higher levels of quality and flexibility with lower costs. Exploratory studies that investigate how LM practices influence the effect of ST practices on performance are still scarce, and a holistic view of such a relationship is needed. In this context, this study aims at verifying the moderating effect of just-in-time (JIT) practices on the relationship between ST practices and the performance of quality and workersʼ health. We carried out a survey with 144 different companies from Southern Brazil that are undergoing a lean implementation. Results indicate that ST practices have a positive significant relationship with such performance, and the concurrent adoption of JIT does not undermine quality and workersʼ health. Highlights Just-in-time moderating effect on sociotechnical practices and quality and workersʼ health K E Y W O R D S just-in-time (JIT), quality, sociotechnical (ST) practices, workersʼ health
Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weigh... more Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weight is below LSL (Lower Specification Level) may increase customer complaints and financial sanctions. On the other hand, net weights above USL (Upper Specification Limit) represent significant economic burdens for the companies associated with this sector. Therefore, this paper focuses on the application of statistical experimental design and response surface methodologies to reduce the variability in net weight of canned tuna. First, the effects of two factors: Tomato Sauce Temperature (65°C-70°C, 70°C-75°C and 75°C-80°C), Conveyor Belt Speed (135 rpm, 140 rpm, and 145 rpm) and their interactions, were assessed via applying the 3 k factorial design. Then, a response surface analysis was performed to define the optimal conditions for the canning process. Finally, a bivariate regression analysis was carried out to develop a predictive model for average standard deviation of net weight per unit. In this case, the results demonstrated that both interaction and factors were found to be statistically significant (P-value < 0.05). Additionally, it is shown that the regression model is capable of predicting the response variable with high accuracy (Q 2 = 89.89%).
Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weigh... more Product weight is a crucial aspect in the Fish Industry. In this regard, the cans whose net weight is below LSL (Lower Specification Level) may increase customer complaints and financial sanctions. On the other hand, net weights above USL (Upper Specification Limit) represent significant economic burdens for the companies associated with this sector. Therefore, this paper focuses on the application of statistical experimental design and response surface methodologies to reduce the variability in net weight of canned tuna. First, the effects of two factors: Tomato Sauce Temperature (65°C-70°C, 70°C-75°C and 75°C-80°C), Conveyor Belt Speed (135 rpm, 140 rpm, and 145 rpm) and their interactions, were assessed via applying the 3 k factorial design. Then, a response surface analysis was performed to define the optimal conditions for the canning process. Finally, a bivariate regression analysis was carried out to develop a predictive model for average standard deviation of net weight per unit. In this case, the results demonstrated that both interaction and factors were found to be statistically significant (P-value < 0.05). Additionally, it is shown that the regression model is capable of predicting the response variable with high accuracy (Q 2 = 89.89%).
Association between lean manufacturing teaching methods and students’ learning preferences, 2018
As more companies embrace the concept of Lean Manufacturing (LM), universities should consider ch... more As more companies embrace the concept of Lean Manufacturing (LM), universities should consider changing their curricula since there is a high likelihood that students will participate in some aspects of LM as they begin their professional careers. Thus, it is important to provide appropriate learning experiences to prepare students prior to LM. However, students may learn through several ways and teaching LM has proved to be extremely challenging, especially for engineering students who are not used to abstractions. This paper aims at examining the association between different LM teaching methods and students’ learning preferences to increase their performance in courses. To achieve that, 76 graduate students from Industrial Engineering, who participated in two LM courses with different teaching methods were assessed according to their learning preferences and performance.