Pub Date : 1900-01-01DOI: 10.1109/IASEC.2019.8686629
I. Alturki, Khalid Al-Khodhairi, S. Duffuaa
This paper takes over the common dilemma facing a consumer receiving a lot from a supplier with unavailable information about the supplier's process level, or the information being available but untrustworthy or uncertain. This paper aims to model and optimize an economical single sampling plan that is independent of the supplier's process level, where the loss caused by accepting low quality lots is treated as a Taguchi's loss function; the model also considers inspection cost, and replacement cost. The Taguchi's loss function in this paper is a function of the expected percent defect in the accepted lots, which later through standardizing the Operating Characteristic (OC) curve becomes a function of the sample size $boldsymbol{n}$, and the defectives rejection limit $c$ achieving independence from the supplier's process level. The standardization is attained through mathematical estimation and use of the beta function properties; the reliability associated with using the expectation is assessed later through the variance. The optimization technique used to find the value of $n$ and $c$ that minimizes the total cost associated with this sampling plan is direct search since both variables are discrete and bounded by the lot size.
{"title":"Optimizing a Taguchi's Loss Function Based Economical Single Sampling Plan with Unknown Incoming Quality","authors":"I. Alturki, Khalid Al-Khodhairi, S. Duffuaa","doi":"10.1109/IASEC.2019.8686629","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686629","url":null,"abstract":"This paper takes over the common dilemma facing a consumer receiving a lot from a supplier with unavailable information about the supplier's process level, or the information being available but untrustworthy or uncertain. This paper aims to model and optimize an economical single sampling plan that is independent of the supplier's process level, where the loss caused by accepting low quality lots is treated as a Taguchi's loss function; the model also considers inspection cost, and replacement cost. The Taguchi's loss function in this paper is a function of the expected percent defect in the accepted lots, which later through standardizing the Operating Characteristic (OC) curve becomes a function of the sample size $boldsymbol{n}$, and the defectives rejection limit $c$ achieving independence from the supplier's process level. The standardization is attained through mathematical estimation and use of the beta function properties; the reliability associated with using the expectation is assessed later through the variance. The optimization technique used to find the value of $n$ and $c$ that minimizes the total cost associated with this sampling plan is direct search since both variables are discrete and bounded by the lot size.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121718001","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 : 1900-01-01DOI: 10.1109/IASEC.2019.8686568
S. Duffuaa, U. Al-Turki, M. B. Daya
Turnaround Maintenance (TAM) in process industries is a very important event that requires a great deal of activities carried out within schedule, budget and quality. Furthermore, plants undergoing TAM are part of a supply chain partners that will be affected in one way or another by the TAM event. These partners include: upstream plants providing raw materials; downstream plants receiving plant products as raw material; and consumers of the final products. This global view of supply chain is rarely considered in TAM planning. The literature review indicated that the process industry does an excellent job with the internal (within the plant) planning and execution of TAM. However, it is not clear whether TAM is viewed in the wider supply chain context. Elements of supply chain includes: effective coordination, sharing experiences and learning from previous events. To assess the degree at which these elements are taken into consideration in TAM planning, the authors conducted a survey for industry worldwide to identify the status of shutdown/turnaround maintenance planning. The results of the survey indicated that there is a clear need to enhance the process of sharing best practices; learning from past events and developing key performance indicators that assess the impact of turnaround maintenance on plant performance. Such measures include impact of TAM on plant reliability, quality rates and productivity.
{"title":"Status of Integrated Turnaround Maintenance","authors":"S. Duffuaa, U. Al-Turki, M. B. Daya","doi":"10.1109/IASEC.2019.8686568","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686568","url":null,"abstract":"Turnaround Maintenance (TAM) in process industries is a very important event that requires a great deal of activities carried out within schedule, budget and quality. Furthermore, plants undergoing TAM are part of a supply chain partners that will be affected in one way or another by the TAM event. These partners include: upstream plants providing raw materials; downstream plants receiving plant products as raw material; and consumers of the final products. This global view of supply chain is rarely considered in TAM planning. The literature review indicated that the process industry does an excellent job with the internal (within the plant) planning and execution of TAM. However, it is not clear whether TAM is viewed in the wider supply chain context. Elements of supply chain includes: effective coordination, sharing experiences and learning from previous events. To assess the degree at which these elements are taken into consideration in TAM planning, the authors conducted a survey for industry worldwide to identify the status of shutdown/turnaround maintenance planning. The results of the survey indicated that there is a clear need to enhance the process of sharing best practices; learning from past events and developing key performance indicators that assess the impact of turnaround maintenance on plant performance. Such measures include impact of TAM on plant reliability, quality rates and productivity.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128419196","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 : 1900-01-01DOI: 10.1109/IASEC.2019.8686703
Awad M. Aljuaid
Ensuring human mental and cognitive capabilities and limitations is crucial and it is studied deeply with the rapid development in technology recently. Quantifying and predicting human physical and mental state (e.g. Behavior, function, performance) in work environment is very important and always considered in designing job tasks and workplace to increase the performance and reduce risks. Lack/excess of attention, drowsiness, dizziness, anger and stress are usually occur in work environment and may lead to severe consequences. This paper presents design of an integrated portable system applying direct neuroimaging indicators based on psychophysiological neuroergonomics in addition to the physiological indicators. The psychophysiological measures of human biosignals which used in the design and programming of the proposed system design are EEG, EMG, blood pressure, body temperature and heart rate. This psychophysiological information is measured using acquired data and the ON/OFF control algorithm. The proposed design includes two setups; to be attached to the scalp and to be placed on the arm. The system will keep live feeds of all psychophysiological information using BCI approach and it will alert and notify both operator and supervisors if there is unwanted mental and cognitive behavior. Limitations of the device could be irritating to the user, and the brain EEG signals need a robust artifact removal if the worker perform high muscular effort. The expected results of the proposed paper will open a new approach of a comprehensive human monitoring in workplace as a result it will increase the performance and reduce potential of risks.
{"title":"Theoretical design of EEG-based Neuroergonomics integrated portable system, applying direct Psychophysiological indicators","authors":"Awad M. Aljuaid","doi":"10.1109/IASEC.2019.8686703","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686703","url":null,"abstract":"Ensuring human mental and cognitive capabilities and limitations is crucial and it is studied deeply with the rapid development in technology recently. Quantifying and predicting human physical and mental state (e.g. Behavior, function, performance) in work environment is very important and always considered in designing job tasks and workplace to increase the performance and reduce risks. Lack/excess of attention, drowsiness, dizziness, anger and stress are usually occur in work environment and may lead to severe consequences. This paper presents design of an integrated portable system applying direct neuroimaging indicators based on psychophysiological neuroergonomics in addition to the physiological indicators. The psychophysiological measures of human biosignals which used in the design and programming of the proposed system design are EEG, EMG, blood pressure, body temperature and heart rate. This psychophysiological information is measured using acquired data and the ON/OFF control algorithm. The proposed design includes two setups; to be attached to the scalp and to be placed on the arm. The system will keep live feeds of all psychophysiological information using BCI approach and it will alert and notify both operator and supervisors if there is unwanted mental and cognitive behavior. Limitations of the device could be irritating to the user, and the brain EEG signals need a robust artifact removal if the worker perform high muscular effort. The expected results of the proposed paper will open a new approach of a comprehensive human monitoring in workplace as a result it will increase the performance and reduce potential of risks.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123503097","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 : 1900-01-01DOI: 10.1109/IASEC.2019.8686538
M. Mutlaq, S. Kumar R.
Power generation in Saudi Arabia is mostly from thermal power plants. This paper involves the minimization of the total cost of power generation from thermal plants in the Western Operating Area of Saudi Electricity Company, incorporating the environmental constraints and the transmission line losses. Economic Dispatch is one of the most important function that is performed in a power system control center so as to minimize the oil consumption in thermal power plants and thus decrease the power generation cost. As the power generation process in thermal power plants causes the emission of significant amount of harmful gases such as carbon dioxide (CO2), and oxide of nitrogen (NOx), it is important to minimize the emission of these gases by appropriate allocation of the total power demand among the various power plants in the system on a continuous basis. Hence this paper focusses on the minimization of the fuel cost of the thermal power plants subjected to these emission constraints. The gradient descent technique based on Lagrange multiplier method is utilized in this environmental economic dispatch of the thermal power plants. Investigations are carried out with the daily hourly load curve corresponding to three days, each one covering three different seasons: summer, winter and Hajj. The investigations reveal that a considerable reduction in the emission of gases can be achieved with the implementation of the environmental economic dispatch function in the area load dispatch center
{"title":"Environmental Economic Dispatch of Thermal Power Plants in Saudi Arabia: A Case Study","authors":"M. Mutlaq, S. Kumar R.","doi":"10.1109/IASEC.2019.8686538","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686538","url":null,"abstract":"Power generation in Saudi Arabia is mostly from thermal power plants. This paper involves the minimization of the total cost of power generation from thermal plants in the Western Operating Area of Saudi Electricity Company, incorporating the environmental constraints and the transmission line losses. Economic Dispatch is one of the most important function that is performed in a power system control center so as to minimize the oil consumption in thermal power plants and thus decrease the power generation cost. As the power generation process in thermal power plants causes the emission of significant amount of harmful gases such as carbon dioxide (CO2), and oxide of nitrogen (NOx), it is important to minimize the emission of these gases by appropriate allocation of the total power demand among the various power plants in the system on a continuous basis. Hence this paper focusses on the minimization of the fuel cost of the thermal power plants subjected to these emission constraints. The gradient descent technique based on Lagrange multiplier method is utilized in this environmental economic dispatch of the thermal power plants. Investigations are carried out with the daily hourly load curve corresponding to three days, each one covering three different seasons: summer, winter and Hajj. The investigations reveal that a considerable reduction in the emission of gases can be achieved with the implementation of the environmental economic dispatch function in the area load dispatch center","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128160968","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 : 1900-01-01DOI: 10.1109/IASEC.2019.8686603
H. Shafeek
Lean manufacturing (LM) implementation is an ongoing effort of continuous improvement in manufacturing processes. To support LM, production engineers persistently examine the processes to discover and eradicate inherent wastes. Therefore, this study is devoted to examine the influential factors of LM implementation. A case from the carton industry is discussed considering the key lean tools such as pull system, customer involvement, supplier participation, housekeeping, poka-yoke, SMED, TPM, standardized work, Kaizen, leadership HRM, planning, process management, one piece flow and quality. The case implementation yields about 28.7% over the suggested manufacturing process areas.
{"title":"Lean Manufacturing Implementation in Carton Industry — A case study","authors":"H. Shafeek","doi":"10.1109/IASEC.2019.8686603","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686603","url":null,"abstract":"Lean manufacturing (LM) implementation is an ongoing effort of continuous improvement in manufacturing processes. To support LM, production engineers persistently examine the processes to discover and eradicate inherent wastes. Therefore, this study is devoted to examine the influential factors of LM implementation. A case from the carton industry is discussed considering the key lean tools such as pull system, customer involvement, supplier participation, housekeeping, poka-yoke, SMED, TPM, standardized work, Kaizen, leadership HRM, planning, process management, one piece flow and quality. The case implementation yields about 28.7% over the suggested manufacturing process areas.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887589","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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