Pub Date : 2019-01-01DOI: 10.1109/IASEC.2019.8686517
Awsan Mohammed, S. Duffuaa
This paper proposes a new solution based on tuned-parameter simulated annealing algorithm to obtain near-optimum solutions for solving large multi-objective multi-product supply chain design problem. The selected objective functions are: maximize the total profit, minimize the total supply chain risk, and minimize the supply chain emissions. The characteristics of the algorithm are developed and presented, then coded and tested. Since there is no benchmark available in the existing and state-of-the-art papers, the results acquired by the developed algorithm are compared with the results obtained by an improved augmented $varepsilon$-constraint algorithm embedded in the General Algebraic Modeling System (GAMS) software for small-scale, medium-scale, and large-scale instances of the multi-objective supply chain problem. The results indicate that the developed simulated annealing algorithm is able to obtain acceptable solutions with reasonable computational time.
{"title":"A Meta-Heuristic Algorithm Based on Simulated Annealing for Designing Multi-Objective Supply Chain Systems","authors":"Awsan Mohammed, S. Duffuaa","doi":"10.1109/IASEC.2019.8686517","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686517","url":null,"abstract":"This paper proposes a new solution based on tuned-parameter simulated annealing algorithm to obtain near-optimum solutions for solving large multi-objective multi-product supply chain design problem. The selected objective functions are: maximize the total profit, minimize the total supply chain risk, and minimize the supply chain emissions. The characteristics of the algorithm are developed and presented, then coded and tested. Since there is no benchmark available in the existing and state-of-the-art papers, the results acquired by the developed algorithm are compared with the results obtained by an improved augmented $varepsilon$-constraint algorithm embedded in the General Algebraic Modeling System (GAMS) software for small-scale, medium-scale, and large-scale instances of the multi-objective supply chain problem. The results indicate that the developed simulated annealing algorithm is able to obtain acceptable solutions with reasonable computational time.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115896898","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 : 2019-01-01DOI: 10.1109/IASEC.2019.8686631
I. Alturki, Hesham K. Alfares
In land-scarce regions, land acquisition and upkeep are becoming more and more expensive as time passes, mainly due to population growth. This eventually will lead most small business owners to rethink their supply chain business models by abandoning owning and running their own warehouses and switching to more lean, flexible, and inexpensive alternatives. In this paper, we consider the alternative of leasing warehouses at the exact required storage capacity. This alternative is analyzed using a mathematical model and a solution algorithm that will help business owners make optimal decisions. The model considers all the available warehousing options, with differing capacities, lease rates, and lease durations for different types of warehouses. The holding cost depends on the number of warehouses leased of each type and their individual lease durations. Since the value of the stored items declines with time, the selling price is assumed to be a linearly decreasing function of the storage duration. The optimization problem is formulated as a nonlinear programing (NLP) model whose objective is to maximize the total profit. An efficient algorithm is proposed that reduces NLP model's nonlinearity to a linear behavior through a combination of neighborhood search and integer programming procedures.
{"title":"Optimum Inventory Control and Warehouse Selection with a Time-Dependent Selling Price","authors":"I. Alturki, Hesham K. Alfares","doi":"10.1109/IASEC.2019.8686631","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686631","url":null,"abstract":"In land-scarce regions, land acquisition and upkeep are becoming more and more expensive as time passes, mainly due to population growth. This eventually will lead most small business owners to rethink their supply chain business models by abandoning owning and running their own warehouses and switching to more lean, flexible, and inexpensive alternatives. In this paper, we consider the alternative of leasing warehouses at the exact required storage capacity. This alternative is analyzed using a mathematical model and a solution algorithm that will help business owners make optimal decisions. The model considers all the available warehousing options, with differing capacities, lease rates, and lease durations for different types of warehouses. The holding cost depends on the number of warehouses leased of each type and their individual lease durations. Since the value of the stored items declines with time, the selling price is assumed to be a linearly decreasing function of the storage duration. The optimization problem is formulated as a nonlinear programing (NLP) model whose objective is to maximize the total profit. An efficient algorithm is proposed that reduces NLP model's nonlinearity to a linear behavior through a combination of neighborhood search and integer programming procedures.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123341514","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 : 2019-01-01DOI: 10.1109/IASEC.2019.8686587
A. Alkhateeb, Fahad A. Sahhari, M. Hussain
Ministry of Health in the Kingdom of Saudi Arabia manages the biomedical departments in its affiliated hospitals by contracting with suppliers/manufacturers. We collected data related to the number of relevant work force and the expenses incurred by surveying nine hospitals in Madinah Munawwarah region of the kingdom by designing a proper questionnaire. We found it to manage in two ways (a) having low qualified team members to serve less sophisticated medical equipment, and (b) outsourcing the needed service to repair or do preventive maintenance especially for high-tech medical devices. This common and traditional way of biomedical management costs a lot of money and consumes long time to repair the faulty medical units. In order to minimize the repair cost and time, here we propose a model of management techniques that falls in a category popularly dubbed as Shared Service Center (SSC). As per the SSC model presented in this study the staff's salaries are projected to be increased by 13.5% but a huge savings of up to 62.21% on staff's salaries and Planned Preventive Maintenance (PPM) cost are estimated as compared to the current situation. A big 81.47% saving as compared to present total service contracts value is predicted with the proposed SSC model. The result is consistent with Saudi Arabia's Vision 2030 and the National Transformation Program 2020 to improve the quality of health services and efficiency of using available resources.
{"title":"A Pilot Study of Biomedical Engineering Shared Service for Hospitals in Madinah Munawwarah","authors":"A. Alkhateeb, Fahad A. Sahhari, M. Hussain","doi":"10.1109/IASEC.2019.8686587","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686587","url":null,"abstract":"Ministry of Health in the Kingdom of Saudi Arabia manages the biomedical departments in its affiliated hospitals by contracting with suppliers/manufacturers. We collected data related to the number of relevant work force and the expenses incurred by surveying nine hospitals in Madinah Munawwarah region of the kingdom by designing a proper questionnaire. We found it to manage in two ways (a) having low qualified team members to serve less sophisticated medical equipment, and (b) outsourcing the needed service to repair or do preventive maintenance especially for high-tech medical devices. This common and traditional way of biomedical management costs a lot of money and consumes long time to repair the faulty medical units. In order to minimize the repair cost and time, here we propose a model of management techniques that falls in a category popularly dubbed as Shared Service Center (SSC). As per the SSC model presented in this study the staff's salaries are projected to be increased by 13.5% but a huge savings of up to 62.21% on staff's salaries and Planned Preventive Maintenance (PPM) cost are estimated as compared to the current situation. A big 81.47% saving as compared to present total service contracts value is predicted with the proposed SSC model. The result is consistent with Saudi Arabia's Vision 2030 and the National Transformation Program 2020 to improve the quality of health services and efficiency of using available resources.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127403705","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 : 2019-01-01DOI: 10.1109/IASEC.2019.8686616
A. Alkhateeb, Jumaan M. AlAmri, M. Hussain
The biomedical engineering departments (BMD) in healthcare facilities in Saudi Arabia play important roles in promoting health services by managing medical technology. Nevertheless, it is challenging to assess the number of needed cadres in BMD. This study is first of its kind that included at least 10% of the major healthcare facilities (HCF) in the Kingdom of Saudi Arabia with a capacity of 100 beds or more to estimate the details of the personnel required for BMD and determine the factors affecting the number of BMD staffs. The most influencing factors found included (i) HCF total beds ($mathbf{r}=0.84$), (ii) HCF gross area ($mathbf{r}=0.92$), (iii) HCF total staff ($mathbf{r}=0.90$), (iv) total number of medical devices ($mathbf{r}=0.92$), (v) total cost of medical devices or technology ($mathbf{r}=0.95$) and (vi) BMD activities and roles ($mathbf{r}=0.70$). Mean values of these variables per BMD staff were found as 23 bed, 148 hospital employee, 2,520 square meter hospital area, 282 medical devices, and $2.84 million acquisition cost of medical device. Interestingly, the designed BMD activity form showed a reasonable linear correlation with BMD staff ($mathbf{r}=0.70$). Regarding the staffing adequacy status, the survey analysis showed 45% of BMDs to have under staffing and only 7% to have overstaffing status. In order to address and provide a credible solution to BMD staffing problem a heuristic formula was developed as a second part of our study (results not shown). Further testing of this model on a wide range of healthcare facilities to improve on the applicability and reliability is in progress.
沙特阿拉伯卫生保健设施中的生物医学工程系(BMD)通过管理医疗技术在促进卫生服务方面发挥着重要作用。然而，评估BMD所需干部的数量是具有挑战性的。这项研究首次纳入了沙特阿拉伯王国至少10%的主要医疗机构(HCF)，其容量为100张或更多，以估计骨密度所需人员的细节，并确定影响骨密度工作人员数量的因素。发现影响最大的因素包括(i) HCF总床位($mathbf{r}=0.84$)， (ii) HCF总面积($mathbf{r}=0.92$)， (iii) HCF总员工($mathbf{r}=0.90$)， (iv)医疗器械总数($mathbf{r}=0.92$)， (v)医疗器械或技术总成本($mathbf{r}=0.95$)和(vi)骨密度活动和作用($mathbf{r}=0.70$)。平均每个BMD员工拥有23张床位，148名医院员工，2520平方米医院面积，282台医疗器械，284万美元医疗器械购置成本。有趣的是，设计的骨密度活动形式与骨密度谱显示出合理的线性相关($mathbf{r}=0.70$)。关于人员配备充足的状况，调查分析显示，45%的bmd人员配备不足，只有7%的bmd人员配备过多。为了解决并提供BMD人员配备问题的可靠解决方案，我们开发了一个启发式公式作为我们研究的第二部分(结果未显示)。目前正在广泛的医疗机构上对该模型进行进一步测试，以提高其适用性和可靠性。
{"title":"Healthcare Facility Variables Important to Biomedical Staffing in Line with 2030 Saudi Vision","authors":"A. Alkhateeb, Jumaan M. AlAmri, M. Hussain","doi":"10.1109/IASEC.2019.8686616","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686616","url":null,"abstract":"The biomedical engineering departments (BMD) in healthcare facilities in Saudi Arabia play important roles in promoting health services by managing medical technology. Nevertheless, it is challenging to assess the number of needed cadres in BMD. This study is first of its kind that included at least 10% of the major healthcare facilities (HCF) in the Kingdom of Saudi Arabia with a capacity of 100 beds or more to estimate the details of the personnel required for BMD and determine the factors affecting the number of BMD staffs. The most influencing factors found included (i) HCF total beds ($mathbf{r}=0.84$), (ii) HCF gross area ($mathbf{r}=0.92$), (iii) HCF total staff ($mathbf{r}=0.90$), (iv) total number of medical devices ($mathbf{r}=0.92$), (v) total cost of medical devices or technology ($mathbf{r}=0.95$) and (vi) BMD activities and roles ($mathbf{r}=0.70$). Mean values of these variables per BMD staff were found as 23 bed, 148 hospital employee, 2,520 square meter hospital area, 282 medical devices, and $2.84 million acquisition cost of medical device. Interestingly, the designed BMD activity form showed a reasonable linear correlation with BMD staff ($mathbf{r}=0.70$). Regarding the staffing adequacy status, the survey analysis showed 45% of BMDs to have under staffing and only 7% to have overstaffing status. In order to address and provide a credible solution to BMD staffing problem a heuristic formula was developed as a second part of our study (results not shown). Further testing of this model on a wide range of healthcare facilities to improve on the applicability and reliability is in progress.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122272375","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 : 2019-01-01DOI: 10.1109/IASEC.2019.8686664
B. Kada, Ahmed A. Alzubairi, Abdullah Tameem
The paper discusses the current trends in communication technologies and their impact on the industrial automation in general and the industry generation 4.0 in particular. It is well known that digital communication networks such as Ethernet, wireless networks, and web technology have made the flow and exchange of information, within distributed automation systems, more reliable, flexible, and comprehensive. In other words, information and communication technology (ICT) provides 1) native support for industrial automation, 2) advantages in control, supervision, and monitoring, and 3) high-performance, greater-controllability, and more flexibility. In this work, we examine Industrial communication topologies, Internet of Things (IoT) enablers that requires low latency. We concluded that wireless gateways will be the new challenging focus regarding latency and security.
{"title":"Industrial Communication Networks and the Future of Industrial Automation","authors":"B. Kada, Ahmed A. Alzubairi, Abdullah Tameem","doi":"10.1109/IASEC.2019.8686664","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686664","url":null,"abstract":"The paper discusses the current trends in communication technologies and their impact on the industrial automation in general and the industry generation 4.0 in particular. It is well known that digital communication networks such as Ethernet, wireless networks, and web technology have made the flow and exchange of information, within distributed automation systems, more reliable, flexible, and comprehensive. In other words, information and communication technology (ICT) provides 1) native support for industrial automation, 2) advantages in control, supervision, and monitoring, and 3) high-performance, greater-controllability, and more flexibility. In this work, we examine Industrial communication topologies, Internet of Things (IoT) enablers that requires low latency. We concluded that wireless gateways will be the new challenging focus regarding latency and security.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130420716","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 : 2019-01-01DOI: 10.1109/IASEC.2019.8686557
A. Saif
In Systems Engineering, there are two methods that are used to improve the product quality and to adjust process parameters. These methods are called Statistical Process Control (SPC) and Automation Process Control (APC). These strategies are the most tools used in improving the product quality for years, but they are developed separately and used in industries. In industry, there was no realization that these two techniques are complementary. The integration of SPC and APC started first by J. MacGregor in 1988 who introduced this concept into the research community. This work followed and supported in 1992 by the work of G. Box and T. Kramer. The research followed came up to a conclusion that combination of these two techniques will result in better performance than using each alone. This paper first will highlight the developments so far achieved in the integration of this two techniques. Then a proposed scheme will be presented to integrate SPC and APC to solve some tasks. New directions of research in integrating these techniques will be highlighted.
{"title":"A Frame Work for the Integration of Statistical Process Control and Engineering Process Control","authors":"A. Saif","doi":"10.1109/IASEC.2019.8686557","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686557","url":null,"abstract":"In Systems Engineering, there are two methods that are used to improve the product quality and to adjust process parameters. These methods are called Statistical Process Control (SPC) and Automation Process Control (APC). These strategies are the most tools used in improving the product quality for years, but they are developed separately and used in industries. In industry, there was no realization that these two techniques are complementary. The integration of SPC and APC started first by J. MacGregor in 1988 who introduced this concept into the research community. This work followed and supported in 1992 by the work of G. Box and T. Kramer. The research followed came up to a conclusion that combination of these two techniques will result in better performance than using each alone. This paper first will highlight the developments so far achieved in the integration of this two techniques. Then a proposed scheme will be presented to integrate SPC and APC to solve some tasks. New directions of research in integrating these techniques will be highlighted.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561921","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.2019.8686536
M. Aldurgam
In the literature of project scheduling it is very common to assume deterministic durations of project activities. Yet, activities with random durations are possible in many situations. In contrast, crashing activities of construction projects reduces their completion time, but this is achieved at additional charges compared to the normal execution charges. It is very common to penalize late completion of construction projects, yet, some sponsors are willing to reward early completion; for example, due to the opportunity cost involved, an oil company is willing to pay an incentive for fixing an oil pipeline proportional to earliness of project completion time. This paper presents a multi-objective project-scheduling model along with a Monte Carlo simulation optimization solution using a general-purpose simulation software. The model determines the optimal crashing levels of the projects' activities, whose durations are random, to minimize the expected project completion time and to maximize the expected profit of the project.
{"title":"Optimal Project Completion Time, a Multi-Objective Model and Monte Carlo Simulation-Optimization Solution","authors":"M. Aldurgam","doi":"10.1109/IASEC.2019.8686536","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686536","url":null,"abstract":"In the literature of project scheduling it is very common to assume deterministic durations of project activities. Yet, activities with random durations are possible in many situations. In contrast, crashing activities of construction projects reduces their completion time, but this is achieved at additional charges compared to the normal execution charges. It is very common to penalize late completion of construction projects, yet, some sponsors are willing to reward early completion; for example, due to the opportunity cost involved, an oil company is willing to pay an incentive for fixing an oil pipeline proportional to earliness of project completion time. This paper presents a multi-objective project-scheduling model along with a Monte Carlo simulation optimization solution using a general-purpose simulation software. The model determines the optimal crashing levels of the projects' activities, whose durations are random, to minimize the expected project completion time and to maximize the expected profit of the project.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"7 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":"115511668","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.2019.8686676
H. Shafeek
The purpose of this work is to help industrial engineering (IE) departments at universities to develop better lean thinking and application of lean education in the field. The current case study collects IE undergraduate programs. This application focuses on bridging the gap between the offered IE programs and the industrial requirements. The known LEAN/EDU-FOCUS-PDCA model and lean tools are applied to eliminate the waste from the education process and increase the value gain. Six common areas are considered for continuous improvement those are alumni, faculty, teaching-learning models, process administrators and the industry.
{"title":"Applying Lean Concepts in the Quality Control Systems of Engineering Education — A Case Study","authors":"H. Shafeek","doi":"10.1109/IASEC.2019.8686676","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686676","url":null,"abstract":"The purpose of this work is to help industrial engineering (IE) departments at universities to develop better lean thinking and application of lean education in the field. The current case study collects IE undergraduate programs. This application focuses on bridging the gap between the offered IE programs and the industrial requirements. The known LEAN/EDU-FOCUS-PDCA model and lean tools are applied to eliminate the waste from the education process and increase the value gain. Six common areas are considered for continuous improvement those are alumni, faculty, teaching-learning models, process administrators and the industry.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"39 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":"125937263","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.2019.8686495
Hamed A. Wardak, Seraj Yousef Abed
The main objective of this paper is to identify and analyze factors that affect water consumption in Jeddah City. Jeddah monthly water consumption data were collected from a website for Saudi Ministry of Environment, Water and Agriculture (MEWA), and it was analyzed with tables and graphs. The variables selected for this study were: Jeddah City population, temperature (monthly maximum, monthly minimum, average monthly), humidity (monthly maximum, monthly minimum, average monthly), Saudi Arabia monthly inflation rate, Saudi Arabia annual GDP and Saudi Arabia per capita GDP. Pearson Correlation Coefficient was used to determine the correlation between water consumption in Jeddah City and each of those factors separately. Correlation analysis showed that four factors were affecting water consumption in Jeddah. These factors were: city population, Saudi GDP, Saudi inflation rate and GDP per capita, respectively.
{"title":"Analysis of Factors Affecting Water Consumption in Jeddah City","authors":"Hamed A. Wardak, Seraj Yousef Abed","doi":"10.1109/IASEC.2019.8686495","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686495","url":null,"abstract":"The main objective of this paper is to identify and analyze factors that affect water consumption in Jeddah City. Jeddah monthly water consumption data were collected from a website for Saudi Ministry of Environment, Water and Agriculture (MEWA), and it was analyzed with tables and graphs. The variables selected for this study were: Jeddah City population, temperature (monthly maximum, monthly minimum, average monthly), humidity (monthly maximum, monthly minimum, average monthly), Saudi Arabia monthly inflation rate, Saudi Arabia annual GDP and Saudi Arabia per capita GDP. Pearson Correlation Coefficient was used to determine the correlation between water consumption in Jeddah City and each of those factors separately. Correlation analysis showed that four factors were affecting water consumption in Jeddah. These factors were: city population, Saudi GDP, Saudi inflation rate and GDP per capita, respectively.","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":"115665410","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.2019.8686608
H. Soltan
This paper shortly traces the development of the control charts that are used in reliability monitoring. The critical fundamentals and inconveniences are pinpointed. It reports that exploiting the current augmenting technology of condition monitoring and fault detection & diagnosis certainly simplifies the system data collection and in turn enables designing robust charts for reliability. Hence, two essential propositions are presented to facilitate further applications.
{"title":"Advances in Control Charts for Reliability","authors":"H. Soltan","doi":"10.1109/IASEC.2019.8686608","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686608","url":null,"abstract":"This paper shortly traces the development of the control charts that are used in reliability monitoring. The critical fundamentals and inconveniences are pinpointed. It reports that exploiting the current augmenting technology of condition monitoring and fault detection & diagnosis certainly simplifies the system data collection and in turn enables designing robust charts for reliability. Hence, two essential propositions are presented to facilitate further applications.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"57 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":"125864876","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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