2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)最新文献_第10页

Digital Twin-enhanced Approach for Supply Chain Disruption Management in Manufacturing Shop Floors 制造车间供应链中断管理的数字孪生增强方法

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9673020

Kendrik Yan Hong Lim, Alejandro Seif, Nimish Agarwal, Nam Tuan Le

{"title":"Digital Twin-enhanced Approach for Supply Chain Disruption Management in Manufacturing Shop Floors","authors":"Kendrik Yan Hong Lim, Alejandro Seif, Nimish Agarwal, Nam Tuan Le","doi":"10.1109/IEEM50564.2021.9673020","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673020","url":null,"abstract":"The recent global pandemic has exposed vulnerabilities in manufacturing and amplified prevailing concerns towards the development of resilient systems from a supply chain (SC) perspective. Industries are often faced with supply and demand-related disruptions, leading to production lines unable to cope with material shortage and demand spikes, resulting in missed opportunities or wastage. As a prevailing technology in the manufacturing domain, Digital twins (DT) has the potential to support SC disruption management with real-time connectivity, simulation, and decision support functionalities. Thus, this paper proposes a DT system designed to mitigate SC-related disruptions, and facilitates end-to-end visibility, process streamlining, and solution generation to meet these challenges. A case study featuring an individualized production shop floor is further explored to validate the effectiveness of this DT system in disruption management within the FMCG domain. This explorative study hopes to align manufacturing resilience concepts with industrial practices to suit today's academic and industrial environment.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"62 1","pages":"848-852"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84965897","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: 3

Effectiveness of the Tactics for Small and Medium-sized Toy Factories in China in Dealing with European and US Toy Safety Requirements 中国中小玩具厂应对欧美玩具安全要求策略的有效性

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672959

C. Kwong, S. Mak, Chiho Li

{"title":"Effectiveness of the Tactics for Small and Medium-sized Toy Factories in China in Dealing with European and US Toy Safety Requirements","authors":"C. Kwong, S. Mak, Chiho Li","doi":"10.1109/IEEM50564.2021.9672959","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672959","url":null,"abstract":"There have been more and more customers and regulatory requirements in the toy industry. Small and medium-sized toy factories in China have been facing challenges to deal with European and US toy safety requirements. How to establish an effective management system to avoid product recalls or penalties becomes an important question, especially to small and medium-sized toy factories with limited resources. After literature review and a pilot study in 4 toy factories, a conceptual framework has been proposed. In January 2020, these 4 factories followed the framework and implemented the toy safety improvement schemes. In January 2021, they were interviewed again about their implementation status. The results showed that their capabilities in responding to European and US toy safety requirements had been lifted. Positive contributions from Toy safety assessment, Industry 4.0, and ISO 37301 (It supersedes ISO 19600:2014) were confirmed among the tactics. This study provides a valuable framework for manufacturers in selecting and implementing toy product safety tactics in responding to European and US requirements.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"11 1","pages":"1179-1183"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85197024","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

A Logical Database Design Methodology for MongoDB NoSQL Databases MongoDB NoSQL数据库的逻辑数据库设计方法

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9673004

W. Mok

{"title":"A Logical Database Design Methodology for MongoDB NoSQL Databases","authors":"W. Mok","doi":"10.1109/IEEM50564.2021.9673004","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673004","url":null,"abstract":"This paper presents a logical database design methodology for a MongoDB NoSQL database. Given a query, the design methodology is able to assist database designers to determine the best set of configurations of data, also known elsewhere as scheme trees, in the database such that the retrieval time of the query can be minimal or reduced. The design methodology first models an application of interest with a conceptual model. Based on our previous researches, the design methodology then generates from the conceptual model as few scheme trees as possible, which will eventually be implemented as MongoDB's collections in the database. To illustrate the design methodology, the COVID-19 data set was downloaded as an example application. The design methodology first conceptualized the data set with an Entity-Relationship model. Multiples queries were then devised to access various parts of the date set, whose executions required retrievals of the attribute values of all or some of the entity types and/or the relationship in the ER model. The design methodology then generated the best sets of scheme trees for the queries.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"33 1","pages":"1451-1455"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85210533","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

Untrimmed Operator Standard Cleaning Action Parsing Based on Deep Learning Method 基于深度学习方法的未修剪算子标准清洗动作解析

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672608

W. Pan, S. Chou

引用次数: 1

Implementation of Lean Production for Achieving Low-cost Product: A Case Study of ABC Company 实施精益生产实现低成本产品:以ABC公司为例

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672815

Jonny

引用次数: 0

Modeling IoT and Big Data Impacts to Business Performance 建模物联网和大数据对业务绩效的影响

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9673066

Jonny, Kriswanto, Matsumura Toshio

{"title":"Modeling IoT and Big Data Impacts to Business Performance","authors":"Jonny, Kriswanto, Matsumura Toshio","doi":"10.1109/IEEM50564.2021.9673066","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673066","url":null,"abstract":"With the existence of Internet of Things that have ability to connect various devices through censors, the growth of data volume is increasing rapidly known as Big Data. Through this Big Data, many companies gained its insights as basis for better decision making to gain competitive advantage. However, past literatures have shown that these empirical results are still fragmented. Therefore, this paper aims to propose a model on how IoT Big Data impacts business performance. For modeling purposes, some elements are included such as: 1) Business Process Improvement, 2) Marketing Strategies, 3) Business Management Innovation, 4) Business Models and Organizational Culture, 5) Privacy and Ethics, 6) Business Performance. Furthermore, sampling of managers in manufacturing industry are gained to answer several questions regarding the model development. For analysis purposes, Smart PLS 3.0 is run to evaluate the fitness of the model with requirement of Goodness of Fit (GoF) above 0.38. After careful conduct, the model is robust and accurate. From this model it can be said that 1) Business Models & Organizational Culture positively influence Business Process Improvement while Privacy and Ethics negatively influence it, 2) Business Process Improvement positively influences Marketing Strategies, Business Management Innovation and Business Performance, and 3) both Marketing Strategies and Business Management Innovation positively influence Business Performance.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"155 1","pages":"1127-1131"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85393847","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: 1

Extreme Learning Machine for Short and Mid-term Electricity Spot Prices Forecasting 短期和中期电力现货价格预测的极限学习机

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672859

I. M. Teixeira, A. P. Barroso, T. Marques

{"title":"Extreme Learning Machine for Short and Mid-term Electricity Spot Prices Forecasting","authors":"I. M. Teixeira, A. P. Barroso, T. Marques","doi":"10.1109/IEEM50564.2021.9672859","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672859","url":null,"abstract":"In a deregulated electricity market, market participants define trading strategies and models to assist the decision-making process. Companies whose operation is heavily dependent on this market are increasingly adopting electricity price forecasting models to identify sales and purchase contracts with the best price. This paper intends to contribute to the improvement of the decision-making process for purchasing electricity in the Iberian Electricity Market. The purpose is to develop a forecasting model for electricity spot prices based on prices established on the derivatives markets. The model uses Artificial Neural Networks trained with the Extreme Learning Machine algorithm to determine the monthly average spot prices for the next six months and provides a tool for making trading decisions considering the risk of exposure to spot market volatility. The forecasting model was applied in two scenarios: pre-pandemic and pandemic. The results prove that its application can contribute to improving decision-making for trading electricity in the short/medium term. Experimental results considering both scenarios show that the proposed model can provide month-ahead forecasts with an RMSE up to 6.38 €/MWh.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"73 1","pages":"452-456"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87998607","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

A Weighted Subjective Skyline Approach for World University Ranking Systems 世界大学排名系统的加权主观天际线方法

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672884

Junyi Chai, Wenbin Liu

引用次数: 1

An Appropriateness Analysis for Additive Manufacturing Based on a Global Performance Index 基于全局绩效指标的增材制造适宜性分析

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672960

D. Nguyen

引用次数: 1

Reasons for Engineering Changes Affecting Part-specific Tools: An Investigation in the Automotive Industry

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI: 10.1109/IEEM50564.2021.9672777

M. Kratzer, L. Bauch, T. Burkert, B. Szost, T. Bauernhansl

{"title":"Reasons for Engineering Changes Affecting Part-specific Tools: An Investigation in the Automotive Industry","authors":"M. Kratzer, L. Bauch, T. Burkert, B. Szost, T. Bauernhansl","doi":"10.1109/IEEM50564.2021.9672777","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672777","url":null,"abstract":"Engineering Changes (ECs) cause significant effort in the automotive industry. With increasing complexity and functionalities of vehicles on the one hand, and decreasing time to market on the other hand, managing ECs becomes more crucial. Especially ECs affecting part-specific tools consume much time and costs in the development of an automobile. To find strategies for reducing this effort, it is important to understand when and why ECs occur. Therefore, this paper first investigates the distribution over time of 3561 EC Orders (ECOs) of three vehicle development projects. A similar pattern with peaks after hardware development phases is observed. Second, the ECOs are categorized according to their reasons. The most frequent reasons are assembly problems, design, and geometric conflicts. Third, the share of reasons over time is analyzed. Whereas some reasons like cost reduction occur early in the development process, others like assembly problems or acoustics appear later. The authors suggest that some ECs with reasons like acoustics should be either done earlier or reduced e.g. through increased virtual validation whereas others with reasons like design should be done more efficiently.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 1","pages":"477-481"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84191523","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: 1