Pub Date : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101971
J. Harischandra, Sunesh Hettiarachchi
The objective of this study is to identify the critical factors affecting the software quality at the engineering division of a selected software development organization in Sri Lanka. The purpose of the study is to identify the critical organizational factors that affect the software quality in the selected organization, determine the relationship and impact of those factors to software quality and provide recommendations and strategies to improve software quality. Having conducted a critical literature review, four independent variables have been identified which are staff training & development, coworker relationships, diversity of the team and knowledge sharing. A quantitative survey was carried out with a population of 110 and sample size of 86 senior engineers. The data analysis has been conducted using SPSS 19.0 tool and hypothesis validation was carried out using Pearson correlation, regression and significance values. The research findings showcase that, knowledge sharing has the strongest relationship towards software quality. Staff training and development and co-worker relationships also hold a relationship on software quality whereas diversity of the team does not claim a relationship on software quality. This research would help the software organizations to uplift the software quality by various strategies such as improving existing knowledge management systems with new features, introducing certification process for staff trainings and team building activities. This research could be further enhanced with a larger sample size with the use of other qualitative survey techniques.
{"title":"Organizational Factors that Affect the Software Quality A Case Study at the Engineering Division of a Selected Software Development Organization in Sri Lanka","authors":"J. Harischandra, Sunesh Hettiarachchi","doi":"10.1109/ICIEA49774.2020.9101971","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101971","url":null,"abstract":"The objective of this study is to identify the critical factors affecting the software quality at the engineering division of a selected software development organization in Sri Lanka. The purpose of the study is to identify the critical organizational factors that affect the software quality in the selected organization, determine the relationship and impact of those factors to software quality and provide recommendations and strategies to improve software quality. Having conducted a critical literature review, four independent variables have been identified which are staff training & development, coworker relationships, diversity of the team and knowledge sharing. A quantitative survey was carried out with a population of 110 and sample size of 86 senior engineers. The data analysis has been conducted using SPSS 19.0 tool and hypothesis validation was carried out using Pearson correlation, regression and significance values. The research findings showcase that, knowledge sharing has the strongest relationship towards software quality. Staff training and development and co-worker relationships also hold a relationship on software quality whereas diversity of the team does not claim a relationship on software quality. This research would help the software organizations to uplift the software quality by various strategies such as improving existing knowledge management systems with new features, introducing certification process for staff trainings and team building activities. This research could be further enhanced with a larger sample size with the use of other qualitative survey techniques.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114057344","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101952
Mohamed Mostafa, S. A. Fahmy
Maintenance strategy selection (MSS) usually has multiple, contradicting objectives. These include reducing cost, increasing availability, reducing unplanned downtime and meeting both safety and environmental requirements. This paper presents the use of analytic hierarchy process (AHP) in solving a MSS problem for a natural gas processing plant. The plant is currently adopting timely based preventive maintenance strategy for all equipment. Six different pieces of equipment were studied to evaluate five different maintenance strategies against multiple criteria such as cost, damage and applicability. Results showed that significant changes should be made to the current maintenance strategy, which would better utilize the resources of the plant, reduce the total maintenance cost, and increase the equipment availability.
{"title":"Maintenance Strategy Selection Using AHP: A Case Study in the Oil and Gas Industry","authors":"Mohamed Mostafa, S. A. Fahmy","doi":"10.1109/ICIEA49774.2020.9101952","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101952","url":null,"abstract":"Maintenance strategy selection (MSS) usually has multiple, contradicting objectives. These include reducing cost, increasing availability, reducing unplanned downtime and meeting both safety and environmental requirements. This paper presents the use of analytic hierarchy process (AHP) in solving a MSS problem for a natural gas processing plant. The plant is currently adopting timely based preventive maintenance strategy for all equipment. Six different pieces of equipment were studied to evaluate five different maintenance strategies against multiple criteria such as cost, damage and applicability. Results showed that significant changes should be made to the current maintenance strategy, which would better utilize the resources of the plant, reduce the total maintenance cost, and increase the equipment availability.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127766998","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102058
Makbul Hajad, V. Tangwarodomnukun, C. Dumkum, Chorkaew Jaturanonda, K. H. Widodo, L. Sutiarso
An approach for minimizing both truck routing distance and perishable product defect is presented in this paper. The proposed algorithm was constructed based on a memetic algorithm associated with a simple genetic algorithm and a powerful local search. The routing problem was modeled as a capacitated vehicle routing problem under a quality constraint for delivering perishable product. The quality degradation function was incorporated into the problem by assigning a critical routing time as a constraint. A penalty was given to the vehicle route overlapping the critical time in order to minimize the product defect due to quality degradation during the delivery process. The simulation revealed that the proposed approach was capable of solving the capacitated vehicle routing problem with minimum travel distance and product defect. The presented method could further be applied for optimizing the delivery of products whose quality degradation is an important factor to be accounted in the route planning.
{"title":"Capacitated Vehicle Routing Problem under Quality Constraint for Perishable Product","authors":"Makbul Hajad, V. Tangwarodomnukun, C. Dumkum, Chorkaew Jaturanonda, K. H. Widodo, L. Sutiarso","doi":"10.1109/ICIEA49774.2020.9102058","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102058","url":null,"abstract":"An approach for minimizing both truck routing distance and perishable product defect is presented in this paper. The proposed algorithm was constructed based on a memetic algorithm associated with a simple genetic algorithm and a powerful local search. The routing problem was modeled as a capacitated vehicle routing problem under a quality constraint for delivering perishable product. The quality degradation function was incorporated into the problem by assigning a critical routing time as a constraint. A penalty was given to the vehicle route overlapping the critical time in order to minimize the product defect due to quality degradation during the delivery process. The simulation revealed that the proposed approach was capable of solving the capacitated vehicle routing problem with minimum travel distance and product defect. The presented method could further be applied for optimizing the delivery of products whose quality degradation is an important factor to be accounted in the route planning.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777610","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}
Digital technologies bring about massive change in society and consequently presents emerging patterns of activities in both government and private sectors. The digital transformation is having a huge impact on the role and responsibilities of IT leadership, especially for Chief Information Officer (CIO). CIO is an important role that is in charge of digital technology to support the organization's goals. This research aims to study the competencies and risks of competency shortage of CIO, comparing government organizations to private enterprises in Thailand. The findings found that CIO competency consists of four main groups which are business, digital technology, leadership, and process and change. Sub-competencies of government organizations which have high risk level (high impact and high probability of shortages) are Enterprise Architecture, Process and Change Management, and Cybersecurity / Information Assurance. For private enterprises, sub-competencies which have high risk level are Communication Skills, Agent of change, Cybersecurity/ Information Assurance, and Cross-dimensional vision.
{"title":"CIO Competency in Digital Era: A Comparative Study between Government Organizations and Private Enterprises","authors":"Wasinee Noonpakdee, Acharaphun Phothichai, Thitiporn Khunkornsiri, Arpawadee Nuntree","doi":"10.1109/ICIEA49774.2020.9101988","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101988","url":null,"abstract":"Digital technologies bring about massive change in society and consequently presents emerging patterns of activities in both government and private sectors. The digital transformation is having a huge impact on the role and responsibilities of IT leadership, especially for Chief Information Officer (CIO). CIO is an important role that is in charge of digital technology to support the organization's goals. This research aims to study the competencies and risks of competency shortage of CIO, comparing government organizations to private enterprises in Thailand. The findings found that CIO competency consists of four main groups which are business, digital technology, leadership, and process and change. Sub-competencies of government organizations which have high risk level (high impact and high probability of shortages) are Enterprise Architecture, Process and Change Management, and Cybersecurity / Information Assurance. For private enterprises, sub-competencies which have high risk level are Communication Skills, Agent of change, Cybersecurity/ Information Assurance, and Cross-dimensional vision.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"41 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132914599","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 : 2020-04-01DOI: 10.1109/iciea49774.2020.9101978
Jiaqian Ren, Jiye Huang
{"title":"Notice of Removal: A Laser Sensor-Based 3-Dimensional Displacement Measuring System for Railway Track","authors":"Jiaqian Ren, Jiye Huang","doi":"10.1109/iciea49774.2020.9101978","DOIUrl":"https://doi.org/10.1109/iciea49774.2020.9101978","url":null,"abstract":"","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"103 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141217320","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102057
Z. Jianhua, Zhou Qinye, Miao Rui, Ge Qiuyuan, Chen Yu
With the development of modern industry, welding technology is an indispensable means of industrial technology in mechanical processing industry and plays an important role in national economic construction. Narrow lap welding is the first important process to ensure continuous production in hot dip galvanized steel production lines. Currently., narrow lap welding still depends on manual visual inspection and sampling inspection after welding. We equip 3D laser line scan camera and eddy current testing system to improve reliability and monitoring timeliness in welding process. Gray Image and Height Image of surface appearance, as well as eddy current signal inside weld are collected by our equipment which is following with welding arm. Finally., collected data should be analyzed through software developed by C#. Selecting hardware, data transmission, and developing software is all involved in this program and the detection system has been used in actual production of enterprise as a complete solution.
{"title":"Real-Time Automatic Detecting System and Online Monitoring Software in Mash Seam Welder","authors":"Z. Jianhua, Zhou Qinye, Miao Rui, Ge Qiuyuan, Chen Yu","doi":"10.1109/ICIEA49774.2020.9102057","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102057","url":null,"abstract":"With the development of modern industry, welding technology is an indispensable means of industrial technology in mechanical processing industry and plays an important role in national economic construction. Narrow lap welding is the first important process to ensure continuous production in hot dip galvanized steel production lines. Currently., narrow lap welding still depends on manual visual inspection and sampling inspection after welding. We equip 3D laser line scan camera and eddy current testing system to improve reliability and monitoring timeliness in welding process. Gray Image and Height Image of surface appearance, as well as eddy current signal inside weld are collected by our equipment which is following with welding arm. Finally., collected data should be analyzed through software developed by C#. Selecting hardware, data transmission, and developing software is all involved in this program and the detection system has been used in actual production of enterprise as a complete solution.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552217","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101932
Arpan D. Patel, Shubham Jha, R. Soni, Kishan Fuse
There are several environmental and energy concerns of using gasoline motorcycles which has led to the rapid development in the electric motorcycle industry. Electric motorcycles provide several decisive features along with tremendous energy efficiency which overcomes several environmental pollution problems created due to the existing gasoline motorcycles. This paper presents CRITIC-COPRAS and CRITIC-TOPSIS multi-criteria decision-making techniques for the best selection of electric motorcycles. The notable idea of this approach is to compare both the techniques to find most relevant technique for motorbike selection scenario to help decision makers determine best alternative among a distinct set of available electric motorcycle options in the market.
{"title":"Comparative study of MCDM Techniques COPRAS and TOPSIS for selection of Electric Motorcycles","authors":"Arpan D. Patel, Shubham Jha, R. Soni, Kishan Fuse","doi":"10.1109/ICIEA49774.2020.9101932","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101932","url":null,"abstract":"There are several environmental and energy concerns of using gasoline motorcycles which has led to the rapid development in the electric motorcycle industry. Electric motorcycles provide several decisive features along with tremendous energy efficiency which overcomes several environmental pollution problems created due to the existing gasoline motorcycles. This paper presents CRITIC-COPRAS and CRITIC-TOPSIS multi-criteria decision-making techniques for the best selection of electric motorcycles. The notable idea of this approach is to compare both the techniques to find most relevant technique for motorbike selection scenario to help decision makers determine best alternative among a distinct set of available electric motorcycle options in the market.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124652086","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 : 2020-04-01DOI: 10.1109/iciea49774.2020.9101923
Neng Jin, Xiangning Lin, Zhengtian Li, Zirui Rong, Peifu Zhang
{"title":"Notice of Removal: A Novel Station-Wide Area Information Interaction Intelligent System","authors":"Neng Jin, Xiangning Lin, Zhengtian Li, Zirui Rong, Peifu Zhang","doi":"10.1109/iciea49774.2020.9101923","DOIUrl":"https://doi.org/10.1109/iciea49774.2020.9101923","url":null,"abstract":"","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141217777","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101931
Nemilyn A. Fadchar, J. D. dela Cruz
Revolutionizing the post-harvest process using low-cost non-destructive approaches such as acoustics is a promising frontier to uplift the conventional farming practices as well as adapt machine learning tools to further increase the accuracy of the system. This study attempts to develop a prototype that uses the sound signatures to classify the maturity level of the young coconut by using neural network. Specifically, it aims to: (1) extract the acoustic features from the sound signal; (2) train the data set and develop the classification model using neural network; (3) develop a program for the prototype; (4) design and fabricate the hardware for the prototype; and (5) test and evaluate the protype. The major parts of the prototype were the vibration motor, vibration sensor, rpi 3b+ microcontroller, battery and LCD. Results of the neural network model obtained an overall classification accuracy of 91.3 % and an R-value of 0.94229. This implied that the neural network model has a high prediction rate to accurately determine the maturity level of the coconut using the sound signatures. Lastly, final evaluation results showed that the prototype has a higher percentage of prediction accuracy as compared to the manual process.
{"title":"Design and Development of a Neural Network — Based Coconut Maturity Detector Using Sound Signatures","authors":"Nemilyn A. Fadchar, J. D. dela Cruz","doi":"10.1109/ICIEA49774.2020.9101931","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101931","url":null,"abstract":"Revolutionizing the post-harvest process using low-cost non-destructive approaches such as acoustics is a promising frontier to uplift the conventional farming practices as well as adapt machine learning tools to further increase the accuracy of the system. This study attempts to develop a prototype that uses the sound signatures to classify the maturity level of the young coconut by using neural network. Specifically, it aims to: (1) extract the acoustic features from the sound signal; (2) train the data set and develop the classification model using neural network; (3) develop a program for the prototype; (4) design and fabricate the hardware for the prototype; and (5) test and evaluate the protype. The major parts of the prototype were the vibration motor, vibration sensor, rpi 3b+ microcontroller, battery and LCD. Results of the neural network model obtained an overall classification accuracy of 91.3 % and an R-value of 0.94229. This implied that the neural network model has a high prediction rate to accurately determine the maturity level of the coconut using the sound signatures. Lastly, final evaluation results showed that the prototype has a higher percentage of prediction accuracy as compared to the manual process.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886812","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102086
Papimol Kongsri, J. Buddhakulsomsiri
This paper involves an unrelated parallel machine scheduling problem. Setup times are sequence dependent. A mixed integer linear programming model that represents the system is formulated. Two measures of performance, makespan, total tardiness, and a combination of both measures, are minimize. Results from a numerical example show that, with a proper weight between the two measures, a compromise solution can be found.
{"title":"A Mixed Integer Programming Model for Unrelated Parallel Machine Scheduling Problem with Sequence Dependent Setup Time to Minimize Makespan and Total Tardiness","authors":"Papimol Kongsri, J. Buddhakulsomsiri","doi":"10.1109/ICIEA49774.2020.9102086","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102086","url":null,"abstract":"This paper involves an unrelated parallel machine scheduling problem. Setup times are sequence dependent. A mixed integer linear programming model that represents the system is formulated. Two measures of performance, makespan, total tardiness, and a combination of both measures, are minimize. Results from a numerical example show that, with a proper weight between the two measures, a compromise solution can be found.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133528095","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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