Pub Date : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985604
W. Wang, Wei Zhang, Weijia Feng
Spraying process is a kind of surface treatment process which is widely used in mechanical products, and the performance of the coating will directly affect the performance and reliability of the sprayed parts. The research on the method of improving the reliability of the spraying process is of great significance to reduce the failure of parts caused by spraying. Design of Experiment (DOE) is a key tool to improve the quality and reliability of products. In this paper, by using orthogonal experimental design to optimize the compressor casing sealing spraying process, so that the compressor casing spraying process has been improved, and the reliability of the process system has been enhanced.
{"title":"Research on the Reliability of the Spraying Process Based on the Design of Experiment","authors":"W. Wang, Wei Zhang, Weijia Feng","doi":"10.1109/ICIMSA.2017.7985604","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985604","url":null,"abstract":"Spraying process is a kind of surface treatment process which is widely used in mechanical products, and the performance of the coating will directly affect the performance and reliability of the sprayed parts. The research on the method of improving the reliability of the spraying process is of great significance to reduce the failure of parts caused by spraying. Design of Experiment (DOE) is a key tool to improve the quality and reliability of products. In this paper, by using orthogonal experimental design to optimize the compressor casing sealing spraying process, so that the compressor casing spraying process has been improved, and the reliability of the process system has been enhanced.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074632","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985578
D. Kritchanchai
Apart from operation dimension in supply chain, another perspective in healthcare supply chain is the infrastructure for Logistics. This infrastructure concerns much in data and information flows. The study focuses on three levels for constructing this infrastructures: Public health policy maker, provincial public health office and hospital levels. A survey was conducted. The framework for data collections was based on data standardization, database and its applications. The findings identified the status of such areas. It shows that lack of standardization could lead to poor information in the supply chain. Five core components for the foundation are recommended. These are standard data, standard exchange data, a single data pool, ability to track and trace and data centre. Implications and suggestions for policy makers are recommended.
{"title":"A Roadmap Towards Healthcare Logistics in Thailand","authors":"D. Kritchanchai","doi":"10.1109/ICIMSA.2017.7985578","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985578","url":null,"abstract":"Apart from operation dimension in supply chain, another perspective in healthcare supply chain is the infrastructure for Logistics. This infrastructure concerns much in data and information flows. The study focuses on three levels for constructing this infrastructures: Public health policy maker, provincial public health office and hospital levels. A survey was conducted. The framework for data collections was based on data standardization, database and its applications. The findings identified the status of such areas. It shows that lack of standardization could lead to poor information in the supply chain. Five core components for the foundation are recommended. These are standard data, standard exchange data, a single data pool, ability to track and trace and data centre. Implications and suggestions for policy makers are recommended.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124785187","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985591
Jirawan Niemsakul, Duangpun Singkarin
This paper proposes the influencing factor analysis for cost-benefit sharing in healthcare supply chain collaboration. The factors are conducted by literature review and in-depth interview with supply chain experts in healthcare sector in Thailand. The factor evaluation based on cost-benefit is analyzed by AHP and the willingness to share cost and benefit is evaluated by TOPSIS. The ranking of factor and the willingness to share are presented.
{"title":"Influencing Factor Analysis for Cost Benefit Sharing in Healthcare Supply Chain Collaboration","authors":"Jirawan Niemsakul, Duangpun Singkarin","doi":"10.1109/ICIMSA.2017.7985591","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985591","url":null,"abstract":"This paper proposes the influencing factor analysis for cost-benefit sharing in healthcare supply chain collaboration. The factors are conducted by literature review and in-depth interview with supply chain experts in healthcare sector in Thailand. The factor evaluation based on cost-benefit is analyzed by AHP and the willingness to share cost and benefit is evaluated by TOPSIS. The ranking of factor and the willingness to share are presented.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131191851","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985585
Z. S. Hamidi, N. Shariff
Coronal Mass Ejections (CMEs) are well known as one of the most massive eruptions which potentially create major disturbances in theinterplanetary medium and initiate severe magnetic storms when they collide with the Earth's magnetosphere. As indicated with radio signatures so-called type II and III burst. It also divided by sub-type of burst depending on the physical characteristics and different mechanisms. For empirical case studies, the statistical properties of both solar bursts by using the Compound Astronomical Low-cost Low-frequency Instrument for Spectroscopy in Transportable Observatories (CALLISTO) network data has been analyzed. The aim of the present pa is to reveal dynamical properties of solar burst type II and III due to image processing. From the analysis of solar burst images, we used CALLISTO RAPP Java Viewer and Interactive Data Language (IDL) software to automatically detect flares and applied image segmentation techniques to compute their properties. The next plan is to discover the potential for dynamic optimization of an image processing of a solar burstwith a focus on optimization of power output under non-fault conditions. Finally, monitoring system design considerations such as the type and accuracy of measurements, sampling rate, and communication protocols are considered. The automatic procedure is a valuable tool for real-time monitoring of solar burst evolution.
{"title":"Automatic Solar Radio Burst Type II and III Image Processing Tracking by Using CALLISTO System","authors":"Z. S. Hamidi, N. Shariff","doi":"10.1109/ICIMSA.2017.7985585","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985585","url":null,"abstract":"Coronal Mass Ejections (CMEs) are well known as one of the most massive eruptions which potentially create major disturbances in theinterplanetary medium and initiate severe magnetic storms when they collide with the Earth's magnetosphere. As indicated with radio signatures so-called type II and III burst. It also divided by sub-type of burst depending on the physical characteristics and different mechanisms. For empirical case studies, the statistical properties of both solar bursts by using the Compound Astronomical Low-cost Low-frequency Instrument for Spectroscopy in Transportable Observatories (CALLISTO) network data has been analyzed. The aim of the present pa is to reveal dynamical properties of solar burst type II and III due to image processing. From the analysis of solar burst images, we used CALLISTO RAPP Java Viewer and Interactive Data Language (IDL) software to automatically detect flares and applied image segmentation techniques to compute their properties. The next plan is to discover the potential for dynamic optimization of an image processing of a solar burstwith a focus on optimization of power output under non-fault conditions. Finally, monitoring system design considerations such as the type and accuracy of measurements, sampling rate, and communication protocols are considered. The automatic procedure is a valuable tool for real-time monitoring of solar burst evolution.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129180380","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985580
M. Krotov, Sanjay Mathrani
Achieving the desired quality standard is crucial in manufacturing of nutritional premixes such as infant formulae. Issues of out-of-specifications and presence of foreign matter and/or bacteria are unacceptable in the industry. Six Sigma is a renowned approach for improving quality management through eliminating variation. The main objective of Six Sigma model is to highlight the critical processes that need controlling to attain the required quality for both, internal and external customer. This paper aims to showcase the development and application of Six Sigma framework in improving quality management through the use of appropriate tools in a medium-sized premix manufacturing facility in Auckland. The company is experiencing quality issues in terms of meeting standard specifications of ingredient contamination within end products, leading to late deliveries and impacting business reputation. The proposed framework standardizes the Six Sigma methods Define, Measure, Analyse, Improve and Control for food manufacturing business. Using this framework, the study optimizes the manufacturing process around the blenders: loading, mixing blenders leading towards packaging. The results describe the improvement in meeting specification standards, on-time deliveries and reduction of rework. The research outcome provides a guidance for small- and medium- sized food manufacturing enterprises to effectively adopt a Six Sigma framework to enhance quality management through eliminating variation in the production processes.
{"title":"A Six Sigma Approach Towards Improving Quality Management in Manufacturing of Nutritional Products","authors":"M. Krotov, Sanjay Mathrani","doi":"10.1109/ICIMSA.2017.7985580","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985580","url":null,"abstract":"Achieving the desired quality standard is crucial in manufacturing of nutritional premixes such as infant formulae. Issues of out-of-specifications and presence of foreign matter and/or bacteria are unacceptable in the industry. Six Sigma is a renowned approach for improving quality management through eliminating variation. The main objective of Six Sigma model is to highlight the critical processes that need controlling to attain the required quality for both, internal and external customer. This paper aims to showcase the development and application of Six Sigma framework in improving quality management through the use of appropriate tools in a medium-sized premix manufacturing facility in Auckland. The company is experiencing quality issues in terms of meeting standard specifications of ingredient contamination within end products, leading to late deliveries and impacting business reputation. The proposed framework standardizes the Six Sigma methods Define, Measure, Analyse, Improve and Control for food manufacturing business. Using this framework, the study optimizes the manufacturing process around the blenders: loading, mixing blenders leading towards packaging. The results describe the improvement in meeting specification standards, on-time deliveries and reduction of rework. The research outcome provides a guidance for small- and medium- sized food manufacturing enterprises to effectively adopt a Six Sigma framework to enhance quality management through eliminating variation in the production processes.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133456655","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985584
C. Kasemset, Eakachai Pintaruean
First-come first-served (FCFS) is a general policy for refrigerated truck sequencing. However, adopting FCFS makes a company case study to face long waiting times before loading goods and inadequate parking areas for waiting trucks. To solve these problems, six dispatching rules are considered: latest departure time (LDT), smallest critical ratio (CR), shortest processing time (SPT), longest processing time (LPT), priority queueing considering density of customers (PQ-C), and priority queueing considering traffic congestion (PQ-T). Six-month historical data of trucks were collected and used for evaluating each rule. The minimum value of a truck's waiting time can be obtained when PQ-T has been tested. The results showed that using PQ-T can reduce 11.04% of the total waiting time when compare to FCFS. PQ-T is recommended for refrigerated truck sequencing mobile application development. This application can automatically generate the daily truck sequence.
{"title":"Application of Job Sequencing Policies in Refrigerated Truck Sequencing: A Case Study","authors":"C. Kasemset, Eakachai Pintaruean","doi":"10.1109/ICIMSA.2017.7985584","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985584","url":null,"abstract":"First-come first-served (FCFS) is a general policy for refrigerated truck sequencing. However, adopting FCFS makes a company case study to face long waiting times before loading goods and inadequate parking areas for waiting trucks. To solve these problems, six dispatching rules are considered: latest departure time (LDT), smallest critical ratio (CR), shortest processing time (SPT), longest processing time (LPT), priority queueing considering density of customers (PQ-C), and priority queueing considering traffic congestion (PQ-T). Six-month historical data of trucks were collected and used for evaluating each rule. The minimum value of a truck's waiting time can be obtained when PQ-T has been tested. The results showed that using PQ-T can reduce 11.04% of the total waiting time when compare to FCFS. PQ-T is recommended for refrigerated truck sequencing mobile application development. This application can automatically generate the daily truck sequence.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115248627","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985596
Xuejun Yan, Canrong Zhang, Mingyao Qi
Automated Guided Vehicle System (AGVS) is widely applied in many automated manufacturing systems, especially in the e-commerce warehouses recently. When multiple AGVs are running in the limited spaces, lots of issues involved in the traffic management, such as collision and deadlock, need to be well addressed. Based on the digraph model, this paper proposed some effective rules, and applied online control strategies to achieve these goals with both unidirectional and bidirectional paths. Simulations based on practical settings are carried out, and the results verified the effectiveness of rules and strategies.
{"title":"Multi-AGVs Collision-Avoidance and Deadlock-Control for Item-To-Human Automated Warehouse","authors":"Xuejun Yan, Canrong Zhang, Mingyao Qi","doi":"10.1109/ICIMSA.2017.7985596","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985596","url":null,"abstract":"Automated Guided Vehicle System (AGVS) is widely applied in many automated manufacturing systems, especially in the e-commerce warehouses recently. When multiple AGVs are running in the limited spaces, lots of issues involved in the traffic management, such as collision and deadlock, need to be well addressed. Based on the digraph model, this paper proposed some effective rules, and applied online control strategies to achieve these goals with both unidirectional and bidirectional paths. Simulations based on practical settings are carried out, and the results verified the effectiveness of rules and strategies.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114729570","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985601
Wei Lin, Ssu-Han Chen
This study proposes a customized prediction scheme for customer churn. This scheme is based on cumulative quantity control (CQC) chart that monitors customers' inter arrival time (IAT). In addition, recency, a time interval pattern that is complementary with IAT is integrated in to increase false positive rate (FP) and to reduce false negative rate (FN) and average time to signal (ATS). Unlike the previous studies that are presented with static data analysis and tabular reports, CQC offers a unique prediction scheme that, in addition to graphic visualization, can perform dynamic monitoring as time passes and new information is collected. When a customer exceeds the control limit at a CQC score, the scheme issues an out-of-control warning for the bad behavior to help the administrator to take preventive measures. This paper conducts empirical analysis of the database of an online dating website in Taiwan and compares different CQC-v of Xie et al. (2002) with CQC of Chan et al. (2000), and the results show that the accuracy (ACC) of CQC-4 is the highest and ATS places second on the list.
本研究提出一套客制化的顾客流失预测方案。该方案是基于累积数量控制(CQC)图表，监控客户的间隔到达时间(IAT)。此外，最近，一个时间间隔模式，是互补的IAT集成，以提高假阳性率(FP)和降低假阴性率(FN)和平均时间到信号(ATS)。与以往的研究采用静态数据分析和表格报告不同，CQC提供了一种独特的预测方案，除了图形可视化之外，还可以随着时间的推移和新信息的收集进行动态监测。当客户的CQC评分超过控制范围时，方案会对客户的不良行为发出失控警告，帮助管理员采取预防措施。本文对台湾某婚约网站的数据库进行实证分析，比较了Xie et al.(2002)和Chan et al.(2000)的CQC-v，结果显示CQC-4的准确率(ACC)最高，ATS排名第二。
{"title":"Predicting Customer Churn Using the Cumulative Quantity Control Chart","authors":"Wei Lin, Ssu-Han Chen","doi":"10.1109/ICIMSA.2017.7985601","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985601","url":null,"abstract":"This study proposes a customized prediction scheme for customer churn. This scheme is based on cumulative quantity control (CQC) chart that monitors customers' inter arrival time (IAT). In addition, recency, a time interval pattern that is complementary with IAT is integrated in to increase false positive rate (FP) and to reduce false negative rate (FN) and average time to signal (ATS). Unlike the previous studies that are presented with static data analysis and tabular reports, CQC offers a unique prediction scheme that, in addition to graphic visualization, can perform dynamic monitoring as time passes and new information is collected. When a customer exceeds the control limit at a CQC score, the scheme issues an out-of-control warning for the bad behavior to help the administrator to take preventive measures. This paper conducts empirical analysis of the database of an online dating website in Taiwan and compares different CQC-v of Xie et al. (2002) with CQC of Chan et al. (2000), and the results show that the accuracy (ACC) of CQC-4 is the highest and ATS places second on the list.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122813837","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 : 2017-06-01DOI: 10.1109/ICIMSA.2017.7985606
P. Apichayakul
The aim of the paper is to develop a spatio-temporal state space model with a better understanding of the dynamic characteristics in a supply chain system. The proposed model incorporates the space and time domain into the model of supply chain system. The estimation method is proposed based on the constructed model. The study will utilize a spatio- temporal state space model associated with EM algorithm technique in describing a dynamic characteristic of supply chain system. Inventory is managed based on demand forecasting at various points of the supply chain from incomplete data.
{"title":"Spatio-Temporal State Space Model Application in the Dynamic Supply Chain System","authors":"P. Apichayakul","doi":"10.1109/ICIMSA.2017.7985606","DOIUrl":"https://doi.org/10.1109/ICIMSA.2017.7985606","url":null,"abstract":"The aim of the paper is to develop a spatio-temporal state space model with a better understanding of the dynamic characteristics in a supply chain system. The proposed model incorporates the space and time domain into the model of supply chain system. The estimation method is proposed based on the constructed model. The study will utilize a spatio- temporal state space model associated with EM algorithm technique in describing a dynamic characteristic of supply chain system. Inventory is managed based on demand forecasting at various points of the supply chain from incomplete data.","PeriodicalId":447657,"journal":{"name":"2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128366849","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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