Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978802
R. Ratnayake
Spare parts (SPs) evaluation and control (SPE&C) has been a challenging task in the onshore and offshore petroleum industry, due to the highly hazardous and capital-intensive nature of operational assets. SPE&C requires that different phases of the petroleum asset's life cycle (i.e. commissioning, operations, modifications, and decommissioning) are taken into consideration via project execution. The requirements imposed by regulatory authorities, the recommendations suggested by classification societies and standards (i.e. national and international), and the guidelines available in the internal performance standards must be taken into consideration in an SPE&C process. SPE&C also requires contributions from several stakeholders from various disciplines, such as plant integrity, materials management, project management and package responsibility, as well as original equipment manufacturers/vendors, to establish a consensus about operational and work practices. Due to the inherent nature of the operational assets, the conventional inventory control approaches and formulae are mostly superimposed by consequence classifications and risk assessments. This has resulted in a significant level of ad hoc spare part recommendations, causing significant loss to asset owners. This manuscript firstly demonstrates current SPE&C practices in the petroleum industry. Secondly, it presents frameworks to standardize SPE&C tasks. Finally, it proposes inventory policies, based on consequence and unit cost, which provide an approach to compensate for ad hoc SPA&C tasks, to minimize SP-related losses to the assets' owners.
{"title":"Consequence Classification Based Spare Parts Evaluation and Control in the Petroleum Industry","authors":"R. Ratnayake","doi":"10.1109/IEEM44572.2019.8978802","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978802","url":null,"abstract":"Spare parts (SPs) evaluation and control (SPE&C) has been a challenging task in the onshore and offshore petroleum industry, due to the highly hazardous and capital-intensive nature of operational assets. SPE&C requires that different phases of the petroleum asset's life cycle (i.e. commissioning, operations, modifications, and decommissioning) are taken into consideration via project execution. The requirements imposed by regulatory authorities, the recommendations suggested by classification societies and standards (i.e. national and international), and the guidelines available in the internal performance standards must be taken into consideration in an SPE&C process. SPE&C also requires contributions from several stakeholders from various disciplines, such as plant integrity, materials management, project management and package responsibility, as well as original equipment manufacturers/vendors, to establish a consensus about operational and work practices. Due to the inherent nature of the operational assets, the conventional inventory control approaches and formulae are mostly superimposed by consequence classifications and risk assessments. This has resulted in a significant level of ad hoc spare part recommendations, causing significant loss to asset owners. This manuscript firstly demonstrates current SPE&C practices in the petroleum industry. Secondly, it presents frameworks to standardize SPE&C tasks. Finally, it proposes inventory policies, based on consequence and unit cost, which provide an approach to compensate for ad hoc SPA&C tasks, to minimize SP-related losses to the assets' owners.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124047657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978916
Leif Sundberg
This paper presents experiences from using examples from the video game industry to teach fundamental concepts and theories of Industrial Engineering and Management. The video game console Dreamcast, which was released by SEGA in Japan in 1998, and discontinued in 2001, was used as a case to let engineering students analyze the trajectory of the console. A framework based on First Principles of Instruction was used to analyze the learning situation. The material consists of students' assignment and evaluations, and the responsible teacher's reflections. Students generally appreciated the opportunity to apply skills to explain a real-world problem. Pre-knowledge of the context was different between male and female students, which needs to be taken into consideration in future variants of the course. Teacher's reflections summarized advantages with this as using a market that many students are familiar with, that has a history related to engineering and economics, and differentiated market. Disadvantages included formal limitations in course duration and evaluation, but also lack of peer-reviewed material, and the reputation of video-games as just being “toys”.
{"title":"Teaching Fundamental Concepts of Industrial Engineering and Management by Using Examples from the Video Game Industry","authors":"Leif Sundberg","doi":"10.1109/IEEM44572.2019.8978916","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978916","url":null,"abstract":"This paper presents experiences from using examples from the video game industry to teach fundamental concepts and theories of Industrial Engineering and Management. The video game console Dreamcast, which was released by SEGA in Japan in 1998, and discontinued in 2001, was used as a case to let engineering students analyze the trajectory of the console. A framework based on First Principles of Instruction was used to analyze the learning situation. The material consists of students' assignment and evaluations, and the responsible teacher's reflections. Students generally appreciated the opportunity to apply skills to explain a real-world problem. Pre-knowledge of the context was different between male and female students, which needs to be taken into consideration in future variants of the course. Teacher's reflections summarized advantages with this as using a market that many students are familiar with, that has a history related to engineering and economics, and differentiated market. Disadvantages included formal limitations in course duration and evaluation, but also lack of peer-reviewed material, and the reputation of video-games as just being “toys”.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127706227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978638
M. M. Navarro, B. B. Navarro
One of the key issues nowadays in using Holt-Winters Method of forecasting is the appropriate selection of smoothing coefficients. To identify values of smoothing coefficients, an optimization approach is explored that minimizes a forecasting error like Mean Squared Errors (MSE) or Mean Absolute Deviation (MAD). This paper develops a methodology that optimizes forecasting error by determining the optimal smoothing coefficients of the Holt-Winters Method using Genetic Algorithm (GA). This paper focuses on the Mean Square Error (MSE) as an objective value of the optimization problem. The efficiency of the proposed approach was verified using actual test cases based on rice stock commodity in the Philippines. Different variants of the Holt-Winters Method were examined and the result shows that additive seasonal effect was more appropriate for the rice stock data. The proposed approach was compared to other models and the results are promising.
{"title":"Optimal Short-Term Forecasting Using GA-Based Holt-Winters Method","authors":"M. M. Navarro, B. B. Navarro","doi":"10.1109/IEEM44572.2019.8978638","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978638","url":null,"abstract":"One of the key issues nowadays in using Holt-Winters Method of forecasting is the appropriate selection of smoothing coefficients. To identify values of smoothing coefficients, an optimization approach is explored that minimizes a forecasting error like Mean Squared Errors (MSE) or Mean Absolute Deviation (MAD). This paper develops a methodology that optimizes forecasting error by determining the optimal smoothing coefficients of the Holt-Winters Method using Genetic Algorithm (GA). This paper focuses on the Mean Square Error (MSE) as an objective value of the optimization problem. The efficiency of the proposed approach was verified using actual test cases based on rice stock commodity in the Philippines. Different variants of the Holt-Winters Method were examined and the result shows that additive seasonal effect was more appropriate for the rice stock data. The proposed approach was compared to other models and the results are promising.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132011469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978562
Xu Hu, Zhanjun Yang, Jun Sun
When original equipment manufacturers (OEM) introduced conventional vehicles (CVs) in the market and put plug-in hybrid electric vehicles (PHEV) into the market again, it faces another pricing decision. First of all, OEM needs to decide whether CVs should be repriced at the same time as PHEV is priced, or whether the original CVs pricing should be followed. OEM then needs to determine the specific retail price of each vehicle. In addressing this pricing issue, this paper takes into account the differences in consumer preferences for traffic privileges and environmental consciousness, and establishes a two-dimensional characteristics space. The study found that whether enterprises reprice CVs is related to the original retail price of CVs. At the same time, corporate profits are affected by a variety of policy factors. In particular, a moderately high purchase tax can improve corporate profits.
{"title":"Pricing the PHEV Considering CVs of the Same Model as PHEV","authors":"Xu Hu, Zhanjun Yang, Jun Sun","doi":"10.1109/IEEM44572.2019.8978562","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978562","url":null,"abstract":"When original equipment manufacturers (OEM) introduced conventional vehicles (CVs) in the market and put plug-in hybrid electric vehicles (PHEV) into the market again, it faces another pricing decision. First of all, OEM needs to decide whether CVs should be repriced at the same time as PHEV is priced, or whether the original CVs pricing should be followed. OEM then needs to determine the specific retail price of each vehicle. In addressing this pricing issue, this paper takes into account the differences in consumer preferences for traffic privileges and environmental consciousness, and establishes a two-dimensional characteristics space. The study found that whether enterprises reprice CVs is related to the original retail price of CVs. At the same time, corporate profits are affected by a variety of policy factors. In particular, a moderately high purchase tax can improve corporate profits.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131231754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978877
I. Vanany, D. I. Maftuhah, Lalu Muhamad Jaelani, Granita Hajar, Ni Made Cyntia Utami
Indonesian food security for chicken production as staple protein foods is essential for ensuring the availability to be consumed by toddlers, teenagers, and adults. Ensuring a good price to farmers and a stable of chicken food for the customers also should be achieved. Chicken (meat and eggs) food is most consumed than beef food in Indonesia. Hence, this paper develops a modeling of chicken production for Indonesian protein food security to capture the causality between variables in corn supply, feed mill plant, chicken production, and customer demand system. Modeling of chicken production using Geographic Information System (GIS) approach and developing of system dynamics model are used in this study. The findings of this study suggests that corn productivity, feed mill production, fodder consumption for chicken, and chicken meat and eggs demand and stock as well are critical variables within the model.
{"title":"Modeling of Chicken Production for Food Security in Indonesia","authors":"I. Vanany, D. I. Maftuhah, Lalu Muhamad Jaelani, Granita Hajar, Ni Made Cyntia Utami","doi":"10.1109/IEEM44572.2019.8978877","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978877","url":null,"abstract":"Indonesian food security for chicken production as staple protein foods is essential for ensuring the availability to be consumed by toddlers, teenagers, and adults. Ensuring a good price to farmers and a stable of chicken food for the customers also should be achieved. Chicken (meat and eggs) food is most consumed than beef food in Indonesia. Hence, this paper develops a modeling of chicken production for Indonesian protein food security to capture the causality between variables in corn supply, feed mill plant, chicken production, and customer demand system. Modeling of chicken production using Geographic Information System (GIS) approach and developing of system dynamics model are used in this study. The findings of this study suggests that corn productivity, feed mill production, fodder consumption for chicken, and chicken meat and eggs demand and stock as well are critical variables within the model.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133447309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978891
B. Zeng, B. Yen
In this paper, a model is proposed to explain the mechanism through which partnerships exert influence over Supply Chain Risks (SCRs), then affecting supply chain responsiveness. The analysis result reveals that the development of partnerships in supply chains may help reduce collaboration risks and relationship risks. The major contribution of this study lies in the way we connect partnerships with SCRs at the prospect of supply chain responsiveness. It allows us to demonstrate the benefits of viewing SCRs as a system and partnerships as an impacting factor. The model uncovers the detailed process how partnerships influence SCRs. Among the factors investigated, partnering depth is shown most critical in this process.
{"title":"Investigating the Effect of Partnerships on the Impact of Supply Chain Risks Upon Supply Chain Responsiveness","authors":"B. Zeng, B. Yen","doi":"10.1109/IEEM44572.2019.8978891","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978891","url":null,"abstract":"In this paper, a model is proposed to explain the mechanism through which partnerships exert influence over Supply Chain Risks (SCRs), then affecting supply chain responsiveness. The analysis result reveals that the development of partnerships in supply chains may help reduce collaboration risks and relationship risks. The major contribution of this study lies in the way we connect partnerships with SCRs at the prospect of supply chain responsiveness. It allows us to demonstrate the benefits of viewing SCRs as a system and partnerships as an impacting factor. The model uncovers the detailed process how partnerships influence SCRs. Among the factors investigated, partnering depth is shown most critical in this process.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132262734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978931
Chengmeng Chen
For maintaining their life quality in elderly period, citizens should take care of investment activity. Semiconductor industry is the most important economics industry in Taiwan. However, Taiwan semiconductor enterprise faces high risk because PRC-US trade war has been started. This research develops a framework by combining maximum deviation method and VIKOR to analyze, evaluate and understand the performance of Taiwan semiconductor industry. Our method can acquire stable result because the rank of each enterprise does not transform when decision mechanism coefficient changes. Finally, some conclusion, discussion and future research should be explained in last section.
{"title":"Integrating Maximum Deviation Method and VIKOR for Evaluating Enterprise Performance in Semiconductor Industry","authors":"Chengmeng Chen","doi":"10.1109/IEEM44572.2019.8978931","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978931","url":null,"abstract":"For maintaining their life quality in elderly period, citizens should take care of investment activity. Semiconductor industry is the most important economics industry in Taiwan. However, Taiwan semiconductor enterprise faces high risk because PRC-US trade war has been started. This research develops a framework by combining maximum deviation method and VIKOR to analyze, evaluate and understand the performance of Taiwan semiconductor industry. Our method can acquire stable result because the rank of each enterprise does not transform when decision mechanism coefficient changes. Finally, some conclusion, discussion and future research should be explained in last section.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133144129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978675
A. Matheri, J. Ngila, C. K. Njenga, M. Belaid, N. J. V. Rensburg
The future of digital transformation of industrial platform and electricity lies on the electrification, decentralization and digitalization. Technologies are becoming commercially available to systems and services that can enable efficient and sustainable management of energy production and use. In short, smart cities can be defined as a city that uses IC'I's solutions such as smart sensors, cognitive learning, and context awareness to make life more comfortable, more efficient and more sustainable. A smart city is a sustainable and efficient urban center providing its inhabitants with a high quality of life through optimal management resources. This study examines how intelligent technologies and services can integrate local energy production and use to provide a more sustainable and efficient system. Due to rapid urbanization, energy management in smart cities is an essential challenge to tackle. Due to the complexity of the energy systems and their vital role, energy management is one of the most demanding issues within urban centers. Therefore, this problem needs to be devoted to considerable attention and effort. Optimized operations using predictive analytics, data mining and modeling are the main tools commonly used to evaluate the technological and policy impacts of smart solutions, as well as to plan the best ways to move from current to smarter cities. The reviews show energy-related work on smart city planning and operating models by classifying their scope into main areas of intervention: energy generation, infrastructure, energy storage, mobile internet, cloud technology, internet of things (IoT), autonomous and near autonomous vehicles, facilities, and intelligent transport system.
{"title":"Smart City Energy Trend Transformation in the Fourth Industrial Revolution Digital Disruption","authors":"A. Matheri, J. Ngila, C. K. Njenga, M. Belaid, N. J. V. Rensburg","doi":"10.1109/IEEM44572.2019.8978675","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978675","url":null,"abstract":"The future of digital transformation of industrial platform and electricity lies on the electrification, decentralization and digitalization. Technologies are becoming commercially available to systems and services that can enable efficient and sustainable management of energy production and use. In short, smart cities can be defined as a city that uses IC'I's solutions such as smart sensors, cognitive learning, and context awareness to make life more comfortable, more efficient and more sustainable. A smart city is a sustainable and efficient urban center providing its inhabitants with a high quality of life through optimal management resources. This study examines how intelligent technologies and services can integrate local energy production and use to provide a more sustainable and efficient system. Due to rapid urbanization, energy management in smart cities is an essential challenge to tackle. Due to the complexity of the energy systems and their vital role, energy management is one of the most demanding issues within urban centers. Therefore, this problem needs to be devoted to considerable attention and effort. Optimized operations using predictive analytics, data mining and modeling are the main tools commonly used to evaluate the technological and policy impacts of smart solutions, as well as to plan the best ways to move from current to smarter cities. The reviews show energy-related work on smart city planning and operating models by classifying their scope into main areas of intervention: energy generation, infrastructure, energy storage, mobile internet, cloud technology, internet of things (IoT), autonomous and near autonomous vehicles, facilities, and intelligent transport system.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114461821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978711
Flor De-La-Cruz-Arcela, J. Martinez-Castillo, Ernesto Altamirano, J. Alvarez-Merino
This article analyzes the extensive downtimes found throughout the process of manufacturing metal structures, and how to minimize them in order to increase productivity. The overall process includes welding, beveling, and transfer to the assembly area, the three of which were identified as the most critical, because they have the highest downtimes. This downtime is generated by several factors, among which are a lack of order and cleanliness in the various work stations, and the absence of mechanisms to control production. A proposal was developed to improve the process of manufacturing brick dryer screens using Lean Manufacturing tools such as Kanban and 5'S to reduce downtimes and increase the profitability of the company. The results obtained through a simulation in Arena Software show an overall reduction of downtime by 62%.
{"title":"Application of Lean Manufacturing Tools to Reduce Downtime in a Small Metalworking Facility","authors":"Flor De-La-Cruz-Arcela, J. Martinez-Castillo, Ernesto Altamirano, J. Alvarez-Merino","doi":"10.1109/IEEM44572.2019.8978711","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978711","url":null,"abstract":"This article analyzes the extensive downtimes found throughout the process of manufacturing metal structures, and how to minimize them in order to increase productivity. The overall process includes welding, beveling, and transfer to the assembly area, the three of which were identified as the most critical, because they have the highest downtimes. This downtime is generated by several factors, among which are a lack of order and cleanliness in the various work stations, and the absence of mechanisms to control production. A proposal was developed to improve the process of manufacturing brick dryer screens using Lean Manufacturing tools such as Kanban and 5'S to reduce downtimes and increase the profitability of the company. The results obtained through a simulation in Arena Software show an overall reduction of downtime by 62%.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978892
M. Kanakana-Katumba, R. Maladzhi
Online learning has been adopted in distance education worldwide. The rise of the use of digital technology in teaching and learning has enabled distance education institutions to adopt online learning to reduce costs and improve student success. The purpose of this paper is to investigate appropriate teaching approaches that could be applied in an online learning model to achieve the desired success in student progress without reducing student autonomy. The results of this study indicate that cognitivism, social constructivism and connectivism form the basis of relevant teaching approaches in the 21st century with regard to curriculum and material design. The success of the students' learning is determined by the conducive environment created by the educators using technological means. Teaching approaches, such as community of practice, the integrative approach, apprentice and experiential learning, project- and problem-based approaches, as well as a competency-based approach, seem to dominate the Science, Engineering and Technology (SET) environment in the online teaching space. Students and their lecturers continue to engage after their formal interaction on an online platform.
{"title":"Online Learning Approaches for Science, Engineering and Technology in Distance Education","authors":"M. Kanakana-Katumba, R. Maladzhi","doi":"10.1109/IEEM44572.2019.8978892","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978892","url":null,"abstract":"Online learning has been adopted in distance education worldwide. The rise of the use of digital technology in teaching and learning has enabled distance education institutions to adopt online learning to reduce costs and improve student success. The purpose of this paper is to investigate appropriate teaching approaches that could be applied in an online learning model to achieve the desired success in student progress without reducing student autonomy. The results of this study indicate that cognitivism, social constructivism and connectivism form the basis of relevant teaching approaches in the 21st century with regard to curriculum and material design. The success of the students' learning is determined by the conducive environment created by the educators using technological means. Teaching approaches, such as community of practice, the integrative approach, apprentice and experiential learning, project- and problem-based approaches, as well as a competency-based approach, seem to dominate the Science, Engineering and Technology (SET) environment in the online teaching space. Students and their lecturers continue to engage after their formal interaction on an online platform.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116305515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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