2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)最新文献_第2页

The Factors Affecting CO2 Emission in the European Union Countries: A Statistical Approach to Sustainability across the Food Industry 影响欧盟国家二氧化碳排放的因素:整个食品工业可持续性的统计方法

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102066

Malak Alsarayreh, M. AlSuwaidi, Reem Al Sharif, Adeeb A Kutty

{"title":"The Factors Affecting CO2 Emission in the European Union Countries: A Statistical Approach to Sustainability across the Food Industry","authors":"Malak Alsarayreh, M. AlSuwaidi, Reem Al Sharif, Adeeb A Kutty","doi":"10.1109/ICIEA49774.2020.9102066","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102066","url":null,"abstract":"The research investigates four prime factors influencing CO2 emission levels associated with the food production industry in the European Union (EU) member states. The prime factors, namely population size, percentage of urbanization, percentage of agricultural land, and average years of schooling, were used in the analysis. The research further examines the existing policies that regulate carbon emission in EU states. The analysis covers 25 EU member countries for the years from 2000 till 2019. The relationship between the prime factors and CO2 emissions were identified using a simple linear regression model, confirming the significance of this relation. The strength of these relations was numerically measured using a clustered analysis. The results indicate that a negative impact on CO2 emission was found in relation to the increase in population and urbanization based on the survival requirements and sustainability in social and urban settings. The effect of the factor “average years of schooling” on CO2 emission is relatively negligible when compared to the other chosen factors. The findings provide sufficient information to develop and support suggestions for enhancing the available policies in EU member states.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"112 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120916361","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}

引用次数: 12

Multiple Deep Layout of Robotic Mobile Fulfillment System 机器人移动配送系统的多深度布局

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102052

Guang Jin, Peng Yang, Guofang Duan

引用次数: 5

Retrospective Analysis of Amusement Rides Accidents Based on Cognitive Reliability and Error Analysis Method 基于认知信度和误差分析法的游乐设备事故回顾性分析

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101961

Lin Zhao, Shixin Liu

{"title":"Retrospective Analysis of Amusement Rides Accidents Based on Cognitive Reliability and Error Analysis Method","authors":"Lin Zhao, Shixin Liu","doi":"10.1109/ICIEA49774.2020.9101961","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101961","url":null,"abstract":"Human factors are one of the important reasons for amusement rides accidents. Therefore, it is of great significance to establish a safety system of amusement rides centered on human safety. This research, as part of China's National Quality Infrastructure Project, is a sub-project of The Research on Full-lifecycle Testing, Monitoring and Integrity Evaluation Technology of Manned Rides. In this paper, Cognitive Reliability and Error Analysis Method (CREAM) is used to study the causes of accidents. Through statistics and analysis of the human error accidents of the amusement rides, the paper clarifies the human factors affecting the accidents, and establishes the basic path of the cause analysis of the amusement rides. On this basis, according to the framework of the CREAM retrospective analysis method, the human factor error modes of the amusement rides are analyzed, and the antecedents of the accident are identified. An antecedent analysis table for the human error modes was formed, and an Antecedent-Consequence Chain of amusement rides was constructed. In the end of this paper, a retrospective analysis of the cause of the accidents in the amusement rides in Xi'an, China was conducted. The research result of this paper constitutes one of the foundations of the safety evaluation of the entire life cycle of amusement rides.","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":"132013481","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}

引用次数: 2

Developing the Model of Managing Warehouse for Sugar Product: Case study of Phitsanulok Province, Thailand 糖产品仓库管理模式的发展:以泰国披世洛省为例

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102027

P. Patitad, Woramol C. Watanabe

引用次数: 0

Preparation of Nanoiron Colloid Using Electrical Spark Discharge Method and Analysis of Its Properties 电火花放电法制备纳米铁胶体及其性能分析

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102056

K. Tseng, Yur-Shan Lin, Mei-Jiun Chen, Chaur-Yang Chang

{"title":"Preparation of Nanoiron Colloid Using Electrical Spark Discharge Method and Analysis of Its Properties","authors":"K. Tseng, Yur-Shan Lin, Mei-Jiun Chen, Chaur-Yang Chang","doi":"10.1109/ICIEA49774.2020.9102056","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102056","url":null,"abstract":"This study used electrical discharge machine (EDM) to prepare nanoiron colloid with the electrical spark discharge method (ESDM) in a preparation environment with normal temperature and atmospheric pressure. An iron wire with a diameter of 1mm and purity of 99.9% was used as the electrode materials, and deionized water (DW) was used as the dielectric liquid. This preparation process was simple and did not require chemical additives. This study used different pulse discharge cycles $(mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{o}mathrm{f}mathrm{f}})$ to prepare nanoiron colloid for the purpose of exploring the optimal $mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{off}}$ parameters for the preparation of nanoiron colloid. The particle size distribution and the zeta potential of the prepared nanoiron colloid were tested by a Zetasizer to analyze the particle size distribution and suspension ability. According to the test results, when the pulse discharge cycle $mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{off}}$ was $10:40mu mathrm{s}$, the prepared nanoiron colloid had a size of 56.49nm and a zeta potential of 45.6mV, which indicates small particle size and optimal suspension stability. Therefore, $10:40mu mathrm{s}$ was the optimal preparation parameter. Finally, the optical properties, crystal structure, and hysteresis curve of the nanoiron colloid were analyzed by UV -Vis, XRD, and VSM.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"18 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":"131535680","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}

引用次数: 0

Study on Giant Frisbee Risk Assessment Based on Human Reliability Analysis 基于人的可靠性分析的巨型飞盘风险评估研究

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101907

Lin Zhao

引用次数: 3

Forecasting Inbound Tour Daily Demand with Multi Seasonality Pattern: A Case Study of a Tour Operator in Thailand 基于多季节模式的入境旅游日需求预测——以泰国某旅行社为例

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101918

Pornpawit Niamjoy, N. Phumchusri

{"title":"Forecasting Inbound Tour Daily Demand with Multi Seasonality Pattern: A Case Study of a Tour Operator in Thailand","authors":"Pornpawit Niamjoy, N. Phumchusri","doi":"10.1109/ICIEA49774.2020.9101918","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101918","url":null,"abstract":"Tour operators is playing an important role in Tourism industry which is the essential part of industries for Thai economy. Accurate tourist forecasting is very important input for resource planning (e.g., tour guides, vehicle, etc.) for Tour operators. This paper proposes and compares time-series models to forecast daily demand (number of tourists) for a case study tour operator using the Seasonal Autoregressive Integrated Moving Average model (SARIMA), Seasonal Autoregressive Integrated Moving Average model with exogenous variables model (SARIMAX) and Trigonometric ARMA errors, trend and multiple seasonal patterns (TBATS). The performances are evaluated in terms of Mean Absolute Error (MAE) and Mean Absolute Scaled Error (MASE). The results show that TBATS is the overall most accurate model to forecast the number of tourists using this tour operator's services. Comparing with the same day last year method (the present method which is the case-study company's existing model), TBATS can reduce errors by 48.9% for tour A, 30.6% for tour B and 15.8% for tour C, respectively.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"2 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":"131012643","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}

引用次数: 0

Research on the Cause of Building Fire Using Social Network Analysis 基于社会网络分析的建筑火灾成因研究

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102064

Changyuan He, Qi Su, Chiyuan Li, Yixiang Liu, Nan Jia

引用次数: 2

Performance of Statistical Methods for Testing the Signal-to-Noise Ratio of a Log-Normal Distribution 检验对数正态分布信噪比的统计方法的性能

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101993

W. Panichkitkosolkul, Benjamas Tulyanitikul

引用次数: 5

Understanding Organizational Characteristics for Cross-Docking Adoption: A Case Study of Thai Industries 理解交叉对接采用的组织特征:以泰国工业为例

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102045

Phatcharika Naunthong, P. Sud-on

{"title":"Understanding Organizational Characteristics for Cross-Docking Adoption: A Case Study of Thai Industries","authors":"Phatcharika Naunthong, P. Sud-on","doi":"10.1109/ICIEA49774.2020.9102045","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102045","url":null,"abstract":"The cross-docking technique has attracted businesses as a way to respond to customer orders by increasing goods flow and shortening the shipping cycle. In cross-dock, incoming goods are sorted and directly reloaded to the outgoing trucks without being stored in between. The literatures have reviewed on the suitability of cross-dock and organizational structure, yet only few have identified the common attributes or they only focused on one aspect of organizational characteristics. This paper pertains to the study of organizational characteristics for cross-docking adoption. A total of 300 questionnaires were collected from different firms in central Thailand. Based on the descriptive analysis, the results showed that cross-dock is widely used in different industries such as retailing, food and drug and textiles. The predominant goods that go through cross-dock are not just only finished products but also raw material. Types of industry and inventory were found to have a significant impact on the choices of cross-dock, while size of organization and automation level showed no influence on the selection of distribution operations.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"23 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":"133761169","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}

引用次数: 0