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

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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102066
Malak Alsarayreh, M. AlSuwaidi, Reem Al Sharif, Adeeb A Kutty
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.
该研究调查了影响欧盟(EU)成员国食品生产行业二氧化碳排放水平的四个主要因素。主要因素,即人口规模、城市化百分比、农业用地百分比和平均受教育年限,被用于分析。该研究进一步考察了欧盟国家现行的碳排放监管政策。该分析涵盖了从2000年到2019年的25个欧盟成员国。利用简单的线性回归模型确定了主要因素与CO2排放之间的关系,证实了这种关系的显著性。使用聚类分析对这些关系的强度进行了数值测量。结果表明,基于社会和城市环境的生存需求和可持续性,人口增长和城市化对二氧化碳排放有负面影响。与其他选择的因素相比,“平均受教育年限”对二氧化碳排放的影响相对可以忽略不计。调查结果提供了足够的信息,以制定和支持加强欧盟成员国现有政策的建议。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102052
Guang Jin, Peng Yang, Guofang Duan
The existing studies on the robotic mobile fulfillment systems (RMFS) have analyzed robot route planning, throughput and layout of RMFS based on single deep layout. As land becomes more expensive and the demand to warehouse is increasing, it's essential to consider multiple deep layout to realize compact storage. This paper applies compact storage strategy to traditional parts-to-picker storage system. We develop a semi-open queuing network model (SOQN) to analyze the RMFS with multiple deep layout. The performance indicators such as system throughput and robot utilization are obtained. Our work can provide valuable suggestions for designing compact RMFS, such as which kind of layout (n× m) of block benefits for throughput, how many robots and workstations are required to reach the given throughput under the limited warehouse area and so on.
现有的机器人移动配送系统(RMFS)研究分析了基于单深布局的RMFS的机器人路线规划、吞吐量和布局。随着土地价格的不断上涨和对仓库需求的不断增加,为了实现紧凑的存储,必须考虑多个深度布局。本文将紧凑存储策略应用于传统的零件到拣选器存储系统。本文建立了一个半开放排队网络模型(SOQN)来分析具有多个深度布局的RMFS。得到了系统吞吐量和机器人利用率等性能指标。我们的工作可以为设计紧凑的RMFS提供有价值的建议,例如哪种块布局(nxm)有利于吞吐量,在有限的仓库面积下需要多少机器人和工作站才能达到给定的吞吐量等。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101961
Lin Zhao, Shixin Liu
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.
人为因素是造成游乐设施事故的重要原因之一。因此,建立以人身安全为中心的游乐设施安全体系具有重要意义。本研究作为中国国家质量基础设施工程的一部分,是载人飞行全生命周期测试、监测和完整性评估技术研究的子项目。本文采用认知信度与误差分析法(CREAM)对事故原因进行研究。通过对游乐设施人为失误事故的统计分析,明确了影响游乐设施人为失误事故的人为因素,建立了游乐设施人为失误原因分析的基本路径。在此基础上,根据CREAM回顾性分析方法的框架,分析了游乐设施的人为因素误差模式,并确定了事故的前因。建立了人为错误模式的前因分析表,构建了游乐设备的前因-后果链。在文章的最后,对西安市游乐设施事故的原因进行了回顾性分析。本文的研究成果为游乐设备全生命周期安全性评价提供了基础之一。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102027
P. Patitad, Woramol C. Watanabe
Sugar industry is one of the processed agricultural industries that are very important to Thailand both in terms of creating jobs and income for sugarcane farmers. Sugar production period is from December to March only. It means that there are eight months in a year that the products are stored in a warehouse. The difficulties of sugar product's storage are 1) uncertainly delivery due date, 2) insufficient storage space, and 3) difficulty to relocate due to characters of the products. This study aims to analyze the system and develop a model to manage the warehouse and distribution for the sugarcane product. In this study, Value Stream Mapping (VSM) are used to analyze warehouse. After analyzing, the model which is proposed are a combination of using an industrial robot arm, hopper silo cone system, and forklift systems. After improvement, PCE of storing sugar from production is decreased by 11.25%. PCE of distributing sugar sack is increased by 55.18%. PCE of distributing bulk of sugar process is decreased by 29.08%.
制糖业是泰国的加工农业产业之一,在创造就业机会和为蔗农增加收入方面对泰国非常重要。制糖期仅从12月到次年3月。这意味着一年中有8个月的时间产品存放在仓库中。食糖产品储存的难点是:1)交货日期不确定;2)储存空间不足;3)由于食糖产品的特性,难以搬迁。本研究旨在对系统进行分析,并建立甘蔗产品仓储配送管理模型。本研究采用价值流图(Value Stream Mapping, VSM)对仓库进行分析。经过分析,提出了采用工业机械臂、料斗筒仓锥系统和叉车系统相结合的模型。改进后,生产中储存糖的PCE降低了11.25%。分配糖袋的PCE提高55.18%。配糖过程的PCE降低了29.08%。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102056
K. Tseng, Yur-Shan Lin, Mei-Jiun Chen, Chaur-Yang Chang
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.
在常温常压的制备环境下,利用电火花放电法制备纳米铁胶体。以直径为1mm、纯度为99.9%的铁丝为电极材料,以去离子水(DW)为介电液。该制备工艺简单,不需要化学添加剂。本研究采用不同脉冲放电周期$(mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{o}}mathrm{f}})$制备纳米铁胶体,旨在探索制备纳米铁胶体的最佳参数$mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{off}}$。用Zetasizer测试了纳米铁胶体的粒径分布和zeta电位,分析了纳米铁胶体的粒径分布和悬浮性能。实验结果表明,当脉冲放电周期$mathrm{T}_{mathrm{on}}:mathrm{T}_{mathrm{off}}$为$10:40mu mathrm{s}$时,制备的纳米铁胶体粒径为56.49nm, zeta电位为45.6mV,粒径小,悬浮稳定性最佳。因此,$10:40mu mathrm{s}$为最佳制备参数。最后,利用UV -Vis、XRD、VSM分析了纳米铁胶体的光学性质、晶体结构和磁滞曲线。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101907
Lin Zhao
The paper makes Human Reliability Analysis on a typical amusement ride - the Giant Frisbee by using Cognitive Reliability and Error Analysis Method in order to help improve the safety in the operation of this machine. The study analyzes the accident cases of the Giant Frisbee and decomposes the task for the machine operation process by using Task Analysis Method so as to identify the key tasks operated by human and the possible operation risks. The study makes use of Contextual Control Model to identify cognitive behaviors and cognitive functions for each subtask of the Giant Frisbee and to determine CPC levels, performance reliability and weight factors. The paper identifies the basic failure modes of each subtask and then calculates the corresponding failure probability. The overall probability of the Giant Frisbee's failure to complete the task is 0.12015, where the boarding task stage is the point with highest risk throughout the machine operation.
本文运用认知可靠性和误差分析法对典型游乐设备——巨型飞盘进行了人的可靠性分析,以提高该设备的运行安全性。本研究通过对巨型飞盘的事故案例进行分析,运用任务分析法对机器操作过程进行任务分解,从而识别出人工操作的关键任务和可能存在的操作风险。本研究利用情境控制模型识别巨型飞盘各子任务的认知行为和认知功能,确定CPC水平、性能可靠性和权重因子。本文首先确定了各子任务的基本失效模式,然后计算出相应的失效概率。巨型飞盘完成任务失败的总体概率为0.12015,其中登机任务阶段是整个机器运行过程中风险最高的点。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101918
Pornpawit Niamjoy, N. Phumchusri
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.
旅游业是泰国经济产业的重要组成部分,旅游经营者在旅游业中发挥着重要作用。准确的游客预测是旅游经营者资源规划(如导游、车辆等)的重要输入。本文提出并比较了季节自回归综合移动平均模型(SARIMA)、带外生变量的季节自回归综合移动平均模型(SARIMAX)和三角ARMA误差、趋势和多季节模式(TBATS)的时间序列模型来预测旅游经营者的日需求(游客数量)。用平均绝对误差(MAE)和平均绝对缩放误差(MASE)对性能进行了评价。结果表明,TBATS是预测该旅行社服务游客数量最准确的整体模型。与去年同日法(目前的方法是案例研究公司现有的模型)相比,TBATS对旅游A、旅游B和旅游C的误差分别降低48.9%、30.6%和15.8%。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102064
Changyuan He, Qi Su, Chiyuan Li, Yixiang Liu, Nan Jia
Building fire is one of the major threats to human beings now. This paper presents a quantitative method based on social network analysis (SNA) for evaluating the cause and risk index of building fire. Firstly, available data from 67 case reports of major building fire accidents is extracted. In order to analyze the patterns and characteristics of major road building fire accidents, a relationship network map is constructed by using SNA. By establishing a building fire risk index system, this paper also lists common fire risks and causes. The result results can further deepen the understanding of the causes of construction fire accidents and the interaction between them. Through SNA, this paper finds the key causes of building fire accidents, and which combinations of causes are most likely to cause accidents. The establishment of risk indicator system can provide reference for fire prevention and early warning work.
建筑火灾是当今人类面临的主要威胁之一。提出了一种基于社会网络分析(SNA)的建筑火灾成因及风险指标定量评价方法。首先,提取了67起重大建筑火灾事故报告的现有数据。为了分析重大道路建筑火灾事故的模式和特征,利用SNA构建了关系网络图。通过建立建筑火灾风险指标体系,列举了常见的火灾风险及其成因。研究结果可以进一步加深对建筑火灾事故成因及其相互作用的认识。通过SNA分析,找出了建筑火灾事故的主要原因,以及哪些原因组合最容易引起火灾事故。风险指标体系的建立可以为火灾预防预警工作提供参考。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101993
W. Panichkitkosolkul, Benjamas Tulyanitikul
This study presents two statistical methods for testing the signal-to-noise ratio (SNR) of a log-normal distribution. The proposed statistical tests were based on the generalized confidence interval (GCI) approach and the large sample (LS) approach. To evaluate the performance of the proposed statistical tests, a simulation study was conducted under several values of SNR in a log-normal distribution. The performances of the statistical tests were compared based on the empirical size and power of the test. The simulation results showed that the statistical test based on the GCI approach performed better than the statistical test based on the LS approach in terms of the attained nominal significance level, and the empirical power of the test and is thus recommended for researchers. The performances of the proposed statistical tests also were examined through a numerical example.
本文提出了两种检验对数正态分布信噪比的统计方法。提出的统计检验基于广义置信区间(GCI)方法和大样本(LS)方法。为了评估所提出的统计检验的性能,在对数正态分布的几个信噪比值下进行了模拟研究。根据检验的实证规模和检验的有效性对统计检验的性能进行比较。仿真结果表明,基于GCI方法的统计检验在达到的名义显著性水平和检验的经验能力方面优于基于LS方法的统计检验,因此推荐给研究人员。通过数值算例验证了所提出的统计检验方法的性能。
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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
Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102045
Phatcharika Naunthong, P. Sud-on
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.
交叉对接技术作为一种通过增加货物流量和缩短运输周期来响应客户订单的方式,吸引了企业。在交叉码头,进站货物被分拣并直接装到出站卡车上,而不需要在中间存放。交叉码头适宜性与组织结构适宜性的研究文献虽有回顾,但发现两者共同属性的文献较少,或只关注组织特征的一个方面。本文研究交叉对接采用的组织特征。从泰国中部的不同公司共收集了300份问卷。基于描述性分析,结果表明,交叉码头广泛应用于零售、食品药品和纺织等不同行业。通过交叉码头的主要商品不仅是成品,还有原材料。行业类型和库存对交叉码头的选择有显著影响,而组织规模和自动化水平对配送操作的选择没有影响。
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引用次数: 0
期刊
2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)
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