Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672802
T. Zhou, Z. H. Chen, X. Ming, Y. Chang
Oriented by mass customization in recent years, manufacturing enterprises need to transform their traditional workshops to smart workshop. Cyber-physical system (CPS), as a core of industry 4.0, plays an essential role in smart manufacturing. By applying CPS, the traditional workshop will shift into a new paradigm with intelligence and flexibility. However, the implementation of CPS in workshop is a complex task, which is still in its infancy. Thus, this paper presents a comprehensive perspective on CPS-based workshop, which can facilitate the implementation CPS-based workshop in industry. At first, seven features of CPS-based workshop are identified, including self-sensing, self-awareness, self-assessment, self-optimization, self-adjustment, self-configuration, and self-control. Then, the architecture of CPS-based workshop is proposed from technical perspective. Next, a conceptual model of CPS-based workshop is developed, which presents the three fundamental elements and closed-loop mechanism of CPS-based workshop. Finally, a case study of Chinese machinery manufacturing company illustrates the feasibility of implementing CPS-based workshop in industry.
{"title":"Cyber-physical System-based Workshop and a Case Study of Chinese Machinery Manufacturing Company","authors":"T. Zhou, Z. H. Chen, X. Ming, Y. Chang","doi":"10.1109/IEEM50564.2021.9672802","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672802","url":null,"abstract":"Oriented by mass customization in recent years, manufacturing enterprises need to transform their traditional workshops to smart workshop. Cyber-physical system (CPS), as a core of industry 4.0, plays an essential role in smart manufacturing. By applying CPS, the traditional workshop will shift into a new paradigm with intelligence and flexibility. However, the implementation of CPS in workshop is a complex task, which is still in its infancy. Thus, this paper presents a comprehensive perspective on CPS-based workshop, which can facilitate the implementation CPS-based workshop in industry. At first, seven features of CPS-based workshop are identified, including self-sensing, self-awareness, self-assessment, self-optimization, self-adjustment, self-configuration, and self-control. Then, the architecture of CPS-based workshop is proposed from technical perspective. Next, a conceptual model of CPS-based workshop is developed, which presents the three fundamental elements and closed-loop mechanism of CPS-based workshop. Finally, a case study of Chinese machinery manufacturing company illustrates the feasibility of implementing CPS-based workshop in industry.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"11 1","pages":"1686-1690"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87659079","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672905
Jichao Wang, Ran Zhang, Guanqiang Qi, Lanqing Hong
The hard disk drives (HDD) are essential devices lying in primary layers of diverse information infrastructure. Long-term disk failure predictions are crucial to the stability and robustness of storage systems for data centers. In this paper, a domain adaption method is developed to improve prediction performance in out-of-distribution disk datasets. We propose heuristic invariant risk minimization (HIRM) with a new loss function to deal with imbalanced data. The HIRM combined with machine learning models are verified to promote the accuracy and stability in out-of-distribution (OoD) data. When hard disks with new SMART feature distribution are introduced into the data center, the proposed HIRM algorithm achieves better results than vanilla neural networks. A numerical example using the data from the BackBlaze data center is shown to illustrate the application of our HIRM model. The aims of each person are different.
{"title":"A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments","authors":"Jichao Wang, Ran Zhang, Guanqiang Qi, Lanqing Hong","doi":"10.1109/IEEM50564.2021.9672905","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672905","url":null,"abstract":"The hard disk drives (HDD) are essential devices lying in primary layers of diverse information infrastructure. Long-term disk failure predictions are crucial to the stability and robustness of storage systems for data centers. In this paper, a domain adaption method is developed to improve prediction performance in out-of-distribution disk datasets. We propose heuristic invariant risk minimization (HIRM) with a new loss function to deal with imbalanced data. The HIRM combined with machine learning models are verified to promote the accuracy and stability in out-of-distribution (OoD) data. When hard disks with new SMART feature distribution are introduced into the data center, the proposed HIRM algorithm achieves better results than vanilla neural networks. A numerical example using the data from the BackBlaze data center is shown to illustrate the application of our HIRM model. The aims of each person are different.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"42 6","pages":"1661-1664"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91469672","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672779
D. D. Pangestuti, T. D. Susanto, L. Trisunarno
In building Smart City in urban and village supported by information and communication technology and also government or commonly called e-Government. In recent years, there has been a drastic increase in the complexity of the internet, digitization and Artificial intelligence [24]. In the utilization of ICT technology in the region in Indonesia, there are many benefits of technology have positive impacts on Indonesian society. In one dimension Smart City is smart society that depends on human resources owned. In measuring the success of smart society in the smart city, variables and supporting indicators are required. This research aims to identify the variables and indicators of the smart society in the smart city, especially the intelligent technology that becomes the Smart City enabler dimension. Qualitative methods through literature studies, interviews or focus group discussion (FGD). Researchers found of these informants and papers are 4 variables are prioritized in smart society position in smart city concept. The four variables found were community, learning, security, and creativity.
{"title":"Measuring Smart Cities: Identification of Smart Society Indicators in Indonesia","authors":"D. D. Pangestuti, T. D. Susanto, L. Trisunarno","doi":"10.1109/IEEM50564.2021.9672779","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672779","url":null,"abstract":"In building Smart City in urban and village supported by information and communication technology and also government or commonly called e-Government. In recent years, there has been a drastic increase in the complexity of the internet, digitization and Artificial intelligence [24]. In the utilization of ICT technology in the region in Indonesia, there are many benefits of technology have positive impacts on Indonesian society. In one dimension Smart City is smart society that depends on human resources owned. In measuring the success of smart society in the smart city, variables and supporting indicators are required. This research aims to identify the variables and indicators of the smart society in the smart city, especially the intelligent technology that becomes the Smart City enabler dimension. Qualitative methods through literature studies, interviews or focus group discussion (FGD). Researchers found of these informants and papers are 4 variables are prioritized in smart society position in smart city concept. The four variables found were community, learning, security, and creativity.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"60 1","pages":"1245-1249"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91040198","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672902
R. Adland, S. Strandenes
For the past decade, autonomous ships have been touted as the next revolution in maritime transport, on par with the switch from sail to steam. Yet, despite large research funding and effort, technological progress remain slow and commercial uptake is largely non-existent. In this paper we go through some of the key arguments for the introduction of autonomous ships in deep-sea trades and highlight some of the challenges in the business case for unmanned autonomous ships.
{"title":"Autonomous Deep-sea Shipping - The Economist's View","authors":"R. Adland, S. Strandenes","doi":"10.1109/IEEM50564.2021.9672902","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672902","url":null,"abstract":"For the past decade, autonomous ships have been touted as the next revolution in maritime transport, on par with the switch from sail to steam. Yet, despite large research funding and effort, technological progress remain slow and commercial uptake is largely non-existent. In this paper we go through some of the key arguments for the introduction of autonomous ships in deep-sea trades and highlight some of the challenges in the business case for unmanned autonomous ships.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1584-1587"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89699581","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673074
Raphael Kiesel, F. Boehm, J. Pennekamp, R. Schmitt
Latency-critical applications in production promise to be essential enablers for performance improvement in production. However, they require the right and often wireless communication system. 5G technology appears to be an effective way to achieve communication system for these applications. Its estimated economic benefit on production gross domestic product is immense ($740 billion Euro until 2030). However, 55% of production companies state that 5G technology deployment is currently not a subject matter for them and mainly state the lack of knowledge on benefits as a reason. Currently, it is missing an approach or model for a use case specific, data-based evaluation of 5G technology influence on the performance of production applications. Therefore, this paper presents a model to evaluate the potential of 5G technology for latency-critical applications in production. First, we derive requirements for the model to fulfill the decision-makers' needs. Second, we analyze existing evaluation approaches regarding their fulfillment of the derived requirements. Third, based on outlined research gaps, we develop a model fulfilling the requirements. Fourth, we give an outlook for further research needs.
{"title":"Development of a Model to Evaluate the Potential of 5G Technology for Latency-critical Applications in Production","authors":"Raphael Kiesel, F. Boehm, J. Pennekamp, R. Schmitt","doi":"10.1109/IEEM50564.2021.9673074","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673074","url":null,"abstract":"Latency-critical applications in production promise to be essential enablers for performance improvement in production. However, they require the right and often wireless communication system. 5G technology appears to be an effective way to achieve communication system for these applications. Its estimated economic benefit on production gross domestic product is immense ($740 billion Euro until 2030). However, 55% of production companies state that 5G technology deployment is currently not a subject matter for them and mainly state the lack of knowledge on benefits as a reason. Currently, it is missing an approach or model for a use case specific, data-based evaluation of 5G technology influence on the performance of production applications. Therefore, this paper presents a model to evaluate the potential of 5G technology for latency-critical applications in production. First, we derive requirements for the model to fulfill the decision-makers' needs. Second, we analyze existing evaluation approaches regarding their fulfillment of the derived requirements. Third, based on outlined research gaps, we develop a model fulfilling the requirements. Fourth, we give an outlook for further research needs.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"9 1","pages":"739-744"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90417967","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672893
T. Phongthiya, C. Kasemset, S. Poomsuk, W. Lertcharoenpaisan
Intra-hospital patient transfer is one important aspect of patient care since a delay in transfer can severely affect the patient's treatment. The case study hospital was facing a problem of intra-hospital patient transfer during peak hours (8:00 a.m. to 4:00 p.m.) due to the high number of patients and limited number of staff to provide service. The objective of this study was to propose the strategies to improve the intra-hospital patient transfer process in the case study hospital and to apply the simulation technique using the Arena simulation software to evaluate the proposed strategies. This study evidenced that the suggested strategies could help to reduce intra-hospital patient transfer times and increase the number of patient transfer cases of one staff from 15 to 17 cases (11.8%) at transfer center A and from 16 to 17 cases (5.9%) at transfer center B. This study provides contributions to the existing academic literature as it showed how the healthcare system in Thailand was managed as well as how the Arena simulation software is utilized to evaluate the effectiveness of healthcare management strategies.
{"title":"Application of Simulation Technique in Improvement of Intra-hospital Patient Transfer: A Provincial Hospital Center in Northern Thailand","authors":"T. Phongthiya, C. Kasemset, S. Poomsuk, W. Lertcharoenpaisan","doi":"10.1109/IEEM50564.2021.9672893","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672893","url":null,"abstract":"Intra-hospital patient transfer is one important aspect of patient care since a delay in transfer can severely affect the patient's treatment. The case study hospital was facing a problem of intra-hospital patient transfer during peak hours (8:00 a.m. to 4:00 p.m.) due to the high number of patients and limited number of staff to provide service. The objective of this study was to propose the strategies to improve the intra-hospital patient transfer process in the case study hospital and to apply the simulation technique using the Arena simulation software to evaluate the proposed strategies. This study evidenced that the suggested strategies could help to reduce intra-hospital patient transfer times and increase the number of patient transfer cases of one staff from 15 to 17 cases (11.8%) at transfer center A and from 16 to 17 cases (5.9%) at transfer center B. This study provides contributions to the existing academic literature as it showed how the healthcare system in Thailand was managed as well as how the Arena simulation software is utilized to evaluate the effectiveness of healthcare management strategies.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"77 10 1","pages":"314-318"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90744354","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673027
R. Yamada, T. Ito, S. Ishizu
In recent years, several onomatopoeias have been used in food advertisements as words to express texture. When consumers observe onomatopoeias in advertisements, they link them to food sales by associating them with the willingness to purchase a particular product. It is important to select onomatopoeias that appropriately express the product image. If the most suitable onomatopoeias that represent the advertised product or review text can be searched, it will be easier for consumers to understand the product better, and the advertisement, as a result, will be successful. The purpose of this study was to identify the attributes that characterize onomatopoeias from user reviews and to analyze the relationship between the sounds of onomatopoeias and each of their attributes to construct a system that can search for onomatopoeias by matching attribute images. In the proposed system, onomatopoeia words were extracted by arranging the onomatopoeias on a plane using principal component analysis and then clicking on this plane using a mouse. In addition, we confirmed whether the extracted onomatopoeias matched the images of the attributes through verification experiments.
{"title":"Onomatopoeia Search System Focused on Attributes Based on Sensibility and Various Sounds","authors":"R. Yamada, T. Ito, S. Ishizu","doi":"10.1109/IEEM50564.2021.9673027","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673027","url":null,"abstract":"In recent years, several onomatopoeias have been used in food advertisements as words to express texture. When consumers observe onomatopoeias in advertisements, they link them to food sales by associating them with the willingness to purchase a particular product. It is important to select onomatopoeias that appropriately express the product image. If the most suitable onomatopoeias that represent the advertised product or review text can be searched, it will be easier for consumers to understand the product better, and the advertisement, as a result, will be successful. The purpose of this study was to identify the attributes that characterize onomatopoeias from user reviews and to analyze the relationship between the sounds of onomatopoeias and each of their attributes to construct a system that can search for onomatopoeias by matching attribute images. In the proposed system, onomatopoeia words were extracted by arranging the onomatopoeias on a plane using principal component analysis and then clicking on this plane using a mouse. In addition, we confirmed whether the extracted onomatopoeias matched the images of the attributes through verification experiments.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 1","pages":"58-62"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87481025","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673081
Qinbiao Li, Cho Yin Yiu, S. C. Yu, K. Ng
Situational awareness (SA) is a key parameter for air traffic control officers (ATCOs) when performing complex tasks in ATC. Identifying the potential lack of SA can avoid serious human errors and assist users to make proper decisions in ATC tasks. This paper aims to evaluate the SA of ATCOs by discriminating various SA levels via commonly used dry-sensor electroencephalography (EEG). This research also provides fundamentals and guidance for further research on SA. In this experiment, 10 participants are recruited to imitate ATCOs and perform three tasks accordingly. The results demonstrated a significant increase in the alpha wave while having a low beta wave with a high Beta power spectrum in channels FC6, F7, and T8 when comparing the projection scenario with the perception scenario. This research further reveals the relationship between various SA statuses and the corresponding physiological feedback, with reasonable measures in non-ideal situations.
{"title":"Situational Awareness and Flight Approach Phase Event Recognition Based on Psychophysiological Measurements","authors":"Qinbiao Li, Cho Yin Yiu, S. C. Yu, K. Ng","doi":"10.1109/IEEM50564.2021.9673081","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673081","url":null,"abstract":"Situational awareness (SA) is a key parameter for air traffic control officers (ATCOs) when performing complex tasks in ATC. Identifying the potential lack of SA can avoid serious human errors and assist users to make proper decisions in ATC tasks. This paper aims to evaluate the SA of ATCOs by discriminating various SA levels via commonly used dry-sensor electroencephalography (EEG). This research also provides fundamentals and guidance for further research on SA. In this experiment, 10 participants are recruited to imitate ATCOs and perform three tasks accordingly. The results demonstrated a significant increase in the alpha wave while having a low beta wave with a high Beta power spectrum in channels FC6, F7, and T8 when comparing the projection scenario with the perception scenario. This research further reveals the relationship between various SA statuses and the corresponding physiological feedback, with reasonable measures in non-ideal situations.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"55 1","pages":"1308-1312"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72811791","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673011
Shangjia Xiang, Y. Lv
As the key technique of smart manufacturing, Automated Guided Vehicles(AGV) are widely adopted in automatic material handling systems. How to dispatch AGVs for material distribution so as to support better production has always been a problem for smart factories as there might be different complex constraints in a real practical manufacturing environment. Petri Nets as a powerful system modeling tool is capable to demonstrate the discrete states/events in real systems. Therefore, a Petri net model is established in this paper to describe the workshop production process with AGVs for material delivery, and Platform Independent Petri Net Editor(PIPE) is used to analyze the resource changes via simulation analysis. The invariant analysis is adopted to represent structure characteristics, combined with the simulation result from PIPE, resource utilization can be obtained and a reconfiguration of AGVs will also be suggested. Finally, based on improved AGV configuration the dispatching scheduling is provided.
{"title":"Optimization of AGV Dispatching Based on Petri Net Towards Smart Manufacturing System","authors":"Shangjia Xiang, Y. Lv","doi":"10.1109/IEEM50564.2021.9673011","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673011","url":null,"abstract":"As the key technique of smart manufacturing, Automated Guided Vehicles(AGV) are widely adopted in automatic material handling systems. How to dispatch AGVs for material distribution so as to support better production has always been a problem for smart factories as there might be different complex constraints in a real practical manufacturing environment. Petri Nets as a powerful system modeling tool is capable to demonstrate the discrete states/events in real systems. Therefore, a Petri net model is established in this paper to describe the workshop production process with AGVs for material delivery, and Platform Independent Petri Net Editor(PIPE) is used to analyze the resource changes via simulation analysis. The invariant analysis is adopted to represent structure characteristics, combined with the simulation result from PIPE, resource utilization can be obtained and a reconfiguration of AGVs will also be suggested. Finally, based on improved AGV configuration the dispatching scheduling is provided.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"41 1","pages":"16-20"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76665762","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 : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672796
P. Naicker, O. Olanrewaju
Optimal sourcing decisions have become a critical factor to maintaining and improving the competitiveness of organizations operating in a globally competitive environment. This research utilized a case study approach to determine the impact of cost estimation models on the competitiveness of organizations in the South African automotive industry. A parametric cost estimation model was adopted and applied to the sourcing processes at an automotive manufacturer situated in Durban, Kwa-Zulu Natal to support the introduction of the next generation passenger vehicle. Additionally, the sourcing process was redesigned to incorporate the parametric cost estimation model. The model was generated on Microsoft Excel, making it cost effective and user friendly. It was shown that the application of the cost estimation yielded favorable results and significantly improved the competitiveness of the organisation studied.
{"title":"Improving Competitiveness Through the Application of Cost Estimation Models in the South African Automotive Industry","authors":"P. Naicker, O. Olanrewaju","doi":"10.1109/IEEM50564.2021.9672796","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672796","url":null,"abstract":"Optimal sourcing decisions have become a critical factor to maintaining and improving the competitiveness of organizations operating in a globally competitive environment. This research utilized a case study approach to determine the impact of cost estimation models on the competitiveness of organizations in the South African automotive industry. A parametric cost estimation model was adopted and applied to the sourcing processes at an automotive manufacturer situated in Durban, Kwa-Zulu Natal to support the introduction of the next generation passenger vehicle. Additionally, the sourcing process was redesigned to incorporate the parametric cost estimation model. The model was generated on Microsoft Excel, making it cost effective and user friendly. It was shown that the application of the cost estimation yielded favorable results and significantly improved the competitiveness of the organisation studied.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1561-1565"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88146965","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：