Banks' Financing Supply Chain Risks and Problems Prevent Banks from Performing Their Duties and Delays in Servicing and as a result, customers are not satisfied. Therefore, the financing supply chain needs to be resilient to its advancing problems and disruptions. In this regard, the purpose of this research is to determine strategies that can prevent the occurrence of fails in the financing supply chain of Iranian banks due to sanctions and other failure situations or to find solutions that if the supply chain fails, it can be restored in the shortest possible time. Therefore, we presented a three levels model includes seven variables which identified by literature review and experts' opinion. Results show that in the presented model using Interpretive Structural Modeling (ISM), "Leadership" was the independent variable in the first level of the model. In the second level there were Linking variables which linking the independent variable to the dependent variables include: "General Abilities", "Adaptability and Recovery", and "Collaboration and Availability". At the third level there were the dependent variables include "Dealing with Threats", "Efficiency", and "Sustainability".
{"title":"Investigation of Resilience in the structure of Supply Chain in the banking system","authors":"Sina Motallem, M. Darbandi, F. Kianfar","doi":"10.1145/3394941.3394944","DOIUrl":"https://doi.org/10.1145/3394941.3394944","url":null,"abstract":"Banks' Financing Supply Chain Risks and Problems Prevent Banks from Performing Their Duties and Delays in Servicing and as a result, customers are not satisfied. Therefore, the financing supply chain needs to be resilient to its advancing problems and disruptions. In this regard, the purpose of this research is to determine strategies that can prevent the occurrence of fails in the financing supply chain of Iranian banks due to sanctions and other failure situations or to find solutions that if the supply chain fails, it can be restored in the shortest possible time. Therefore, we presented a three levels model includes seven variables which identified by literature review and experts' opinion. Results show that in the presented model using Interpretive Structural Modeling (ISM), \"Leadership\" was the independent variable in the first level of the model. In the second level there were Linking variables which linking the independent variable to the dependent variables include: \"General Abilities\", \"Adaptability and Recovery\", and \"Collaboration and Availability\". At the third level there were the dependent variables include \"Dealing with Threats\", \"Efficiency\", and \"Sustainability\".","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116374046","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}
Data is currently one of the most critical and influential emerging assets. However, the true potential of data is yet to be exploited since, currently, about 1% of generated data is ever actually analyzed for value creation [1]. There is a data gap where data is not explored due to the lack of data analytics infrastructure and the required data analytics skills. This study developed a decision support framework for data analytics by following Jabareen's framework development methodology. The study focused on machine learning algorithms, which is a subset of data analytics. The developed framework is designed to assist data analysts with little experience, in choosing the appropriate machine learning algorithm given the purpose of their application.
{"title":"A Machine Learning Decision Support Framework for Industrial Engineering Purposes","authors":"Anlie Du Preez, James Bekker","doi":"10.1145/3394941.3394943","DOIUrl":"https://doi.org/10.1145/3394941.3394943","url":null,"abstract":"Data is currently one of the most critical and influential emerging assets. However, the true potential of data is yet to be exploited since, currently, about 1% of generated data is ever actually analyzed for value creation [1]. There is a data gap where data is not explored due to the lack of data analytics infrastructure and the required data analytics skills. This study developed a decision support framework for data analytics by following Jabareen's framework development methodology. The study focused on machine learning algorithms, which is a subset of data analytics. The developed framework is designed to assist data analysts with little experience, in choosing the appropriate machine learning algorithm given the purpose of their application.","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127646822","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}
Many software implementations for the schemes used for public key cryptosystems, of which elliptic curve cryptography is the most powerful, has been concerned with performance and efficiency. However, the advent of side channel attacks with their diverse categories, such as timing, fault and power analysis attacks, impose us to reconsider new strategies in implementing more secured elliptic curve algorithms to thwart any information leakage that leads to break the security of these algorithms. In this paper, we propose a new optimization on the algorithmic level for computing the arithmetic of elliptic curve point over prime fields to countermeasure side channel attacks that threaten elliptic curve cryptosystems. Indeed, these attacks present nowadays a realistic threat to cryptographic applications and have been proved to be very effective against most cryptosystems. To develop a digital signature algorithm that targets performance and security against side channel attacks, we built a library for the underlying prime fields arithmetic for the common fields specialized by NIST and SECG. Our work can be employed in numerous applications such as, E-health, E-banking, E-commerce and E-governance.
{"title":"Securing Digital Signature Algorithm against Side Channel Attacks","authors":"Mohamed Hassan, A. Abo-Taleb, M. Shalaby","doi":"10.1145/3394941.3394947","DOIUrl":"https://doi.org/10.1145/3394941.3394947","url":null,"abstract":"Many software implementations for the schemes used for public key cryptosystems, of which elliptic curve cryptography is the most powerful, has been concerned with performance and efficiency. However, the advent of side channel attacks with their diverse categories, such as timing, fault and power analysis attacks, impose us to reconsider new strategies in implementing more secured elliptic curve algorithms to thwart any information leakage that leads to break the security of these algorithms. In this paper, we propose a new optimization on the algorithmic level for computing the arithmetic of elliptic curve point over prime fields to countermeasure side channel attacks that threaten elliptic curve cryptosystems. Indeed, these attacks present nowadays a realistic threat to cryptographic applications and have been proved to be very effective against most cryptosystems. To develop a digital signature algorithm that targets performance and security against side channel attacks, we built a library for the underlying prime fields arithmetic for the common fields specialized by NIST and SECG. Our work can be employed in numerous applications such as, E-health, E-banking, E-commerce and E-governance.","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129396029","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}
Supply Chain Management(SCM) recently acknowledged as a critical issue in many industries. Human Resource Management as the basis of an organization and supply chain management plays a critical role in the performance of organizations. The cooperation between supply chain management and human resource management should lead to better accountability to customers, increase product quality and reduce costs in chain management. In this regard, this study investigates the important factors of HRM in supply chain management and examines their relationship, as well as a new conceptual model, which is designed to investigate the impact of its various factors. Efficiency and effectiveness are the most important part of this conceptual model. The results of the implementation of this conceptual model show among the dimensions of supply chain management, the efficiency dimension with the correlation coefficient of 0.278 has a significant impact on HR planning and the correlation coefficient of 0.238 comes in second place of effectiveness. Moreover, in the third-place is creating a value with a correlation coefficient of 0.234.
{"title":"Providing a comprehensive framework for investigate the impact of HRM in supply chain management","authors":"M. Adibpour, A. Goli, Iman Adibpour","doi":"10.1145/3394941.3394946","DOIUrl":"https://doi.org/10.1145/3394941.3394946","url":null,"abstract":"Supply Chain Management(SCM) recently acknowledged as a critical issue in many industries. Human Resource Management as the basis of an organization and supply chain management plays a critical role in the performance of organizations. The cooperation between supply chain management and human resource management should lead to better accountability to customers, increase product quality and reduce costs in chain management. In this regard, this study investigates the important factors of HRM in supply chain management and examines their relationship, as well as a new conceptual model, which is designed to investigate the impact of its various factors. Efficiency and effectiveness are the most important part of this conceptual model. The results of the implementation of this conceptual model show among the dimensions of supply chain management, the efficiency dimension with the correlation coefficient of 0.278 has a significant impact on HR planning and the correlation coefficient of 0.238 comes in second place of effectiveness. Moreover, in the third-place is creating a value with a correlation coefficient of 0.234.","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982159","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}
This paper treats the maximization of the minimum completion time regarding the identical parallel machines problem. This problem is well known as follows. Our work concerns with industry field, when we have several identical and parallel machines and we have faced to many different jobs. The problem is how to find an appropriate solution that gives us a method to schedule the different jobs on the given machines. The objective function is the maximization of machine completion time which has the minimum time comparing with all other machines. This problem is shown as NP-hard. We propose some algorithms that give approximate solutions to the studied problem. Several instances were tested in this paper to show the performance of the proposed approximate solutions.
{"title":"Max-Min Probabilistic Algorithms for Parallel Machines","authors":"M. Jemmali, M. Otoom, Fayez al Fayez","doi":"10.1145/3394941.3394945","DOIUrl":"https://doi.org/10.1145/3394941.3394945","url":null,"abstract":"This paper treats the maximization of the minimum completion time regarding the identical parallel machines problem. This problem is well known as follows. Our work concerns with industry field, when we have several identical and parallel machines and we have faced to many different jobs. The problem is how to find an appropriate solution that gives us a method to schedule the different jobs on the given machines. The objective function is the maximization of machine completion time which has the minimum time comparing with all other machines. This problem is shown as NP-hard. We propose some algorithms that give approximate solutions to the studied problem. Several instances were tested in this paper to show the performance of the proposed approximate solutions.","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122232208","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}
In today's highly competitive market, manufacturing companies compete in order to achieve a superior customer response and significant cost savings. From this perspective, the lexicographic bottleneck assembly line balancing problem is recently introduced to the literature in order to implement more reliable assembly lines through increasing the quality of balance among the most heavily loaded workstations. The purpose of this work is to integrate the advantage of the flexible assembly lines through considering variety of resource alternatives for executing each task with the concept of the lexicographic bottleneck assembly line balancing. Accordingly, a new mathematical model called Lexicographic Bottleneck Mixed-Model Flexible Assembly Line Balancing Problem (LB-MFALBP) is formalized for the first time in the literature. In addition, an exact solution is proposed for optimally solving small instances using a commercial solver in a reasonable computation time.
{"title":"A Mathematical Model for the Lexicographic Bottleneck Mixed-Model Flexible Assembly Line Balancing Problem","authors":"Islam Ali, Nourhan Ghanem, M. Fors","doi":"10.1145/3394941.3394942","DOIUrl":"https://doi.org/10.1145/3394941.3394942","url":null,"abstract":"In today's highly competitive market, manufacturing companies compete in order to achieve a superior customer response and significant cost savings. From this perspective, the lexicographic bottleneck assembly line balancing problem is recently introduced to the literature in order to implement more reliable assembly lines through increasing the quality of balance among the most heavily loaded workstations. The purpose of this work is to integrate the advantage of the flexible assembly lines through considering variety of resource alternatives for executing each task with the concept of the lexicographic bottleneck assembly line balancing. Accordingly, a new mathematical model called Lexicographic Bottleneck Mixed-Model Flexible Assembly Line Balancing Problem (LB-MFALBP) is formalized for the first time in the literature. In addition, an exact solution is proposed for optimally solving small instances using a commercial solver in a reasonable computation time.","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035958","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}
{"title":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","authors":"","doi":"10.1145/3394941","DOIUrl":"https://doi.org/10.1145/3394941","url":null,"abstract":"","PeriodicalId":143754,"journal":{"name":"Proceedings of the 2020 International Conference on Industrial Engineering and Industrial Management","volume":"86 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":"115871611","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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