2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)最新文献_第4页

Application of TPM Tools in an Automotive Battery Assembly Line TPM工具在某汽车电池装配线中的应用

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978897

Amelia Castillo-Revelo, Liseth Mañuico-Salas, Fernando Maradiegue-Tuesta, J. Alvarez-Merino

{"title":"Application of TPM Tools in an Automotive Battery Assembly Line","authors":"Amelia Castillo-Revelo, Liseth Mañuico-Salas, Fernando Maradiegue-Tuesta, J. Alvarez-Merino","doi":"10.1109/IEEM44572.2019.8978897","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978897","url":null,"abstract":"This study sets out to increase the overall efficiency of equipment in the automotive battery assembly line by reducing the number of non-compliant products. To this end, the root cause analysis was performed, and it determined that disconformities are caused by the lack of standardization of processes, paucity of working methods, and inadequate maintenance plans. The proposal of this study involves the use of total productive maintenance (TPM) tools as the modal analysis of failures and effects, self-maintenance, and planned maintenance based on reliability-centric maintenance (RCM). The joint use of these tools leads to an increase in the quality of automotive batteries. The application of TPM and RCM is subject to internal and external factors affecting a company. The proposed methodology can be applied to small and medium-sized manufacturing industries with different production lines. As a result of its application, the number of non-compliant batteries was reduced by 30%, machine efficiency increased by 3.00%, and the mean time between failures was reduced by 19.96%.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120810432","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 Strategic Leading Mechanism of Latecomer Firms 后发企业战略领先机制研究

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978616

Haibing Liu, Lei Yang, Qingrui Xu

引用次数: 0

Application of SIRI for Industry 4.0 Maturity Assessment and Analysis SIRI在工业4.0成熟度评估与分析中的应用

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978720

Weidong Lin, M. Low, Y. T. Chong, C. L. Teo

引用次数: 5

Working-Condition Importance Measures for Multi-Component Systems 多部件系统工况重要性措施

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978591

Zhiqiang Chen, Xiaoyang Zhu

引用次数: 1

Use of Pull Product Development for Enhancing Lean Startups 利用拉动式产品开发提高精益创业

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978890

V. Isoherranen, R. Ratnayake

{"title":"Use of Pull Product Development for Enhancing Lean Startups","authors":"V. Isoherranen, R. Ratnayake","doi":"10.1109/IEEM44572.2019.8978890","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978890","url":null,"abstract":"To succeed in product development starting from new product concepts is a challenging task. The lean startup methodology (LSM) enables on agile testing and learning cycle to validate hypotheses at the product idea/concept generation level when traditional stage-gate product development process is too resource consuming and is lacking speed to market. Lean startups are significantly challenged by subsequent financial and related other resource restrictions and subsequently it leads to minimal viable products (MVPs). An MVP provides minimum sufficient product features to satisfy early consumers in which provide feedback and revenue for future product development i.e. product market fit. When there are many previously developed MVPs in the market. It is not clear how to pull them to be the products with minimum viable product features (MVPFs) as the consumer demands rise over the time. This manuscript first briefly discusses current challenges in lean startups and concept of lean/pull product development. Then, it presents a framework to demonstrate pull product development process. Finally, with the support of a case study, it demonstrates how to use multi-criteria analysis methodology to recognize MVPFs. An illustrative analysis and results are presented to demonstrate the use of the suggested approach for recognizing MVPFs.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127485142","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

Analysis of User Groups for Assistance Systems in Production 4.0 生产4.0中辅助系统的用户群分析

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978907

B. Mark, Luca Gualtieri, E. Rauch, Rafael A. Rojas, Dollaya Buakum, D. Matt

引用次数: 10

On the Need for Effective Lean Daily Management in Engineering Design Projects: Development of a Framework 工程设计项目有效精益日常管理的必要性:一个框架的开发

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978660

Daria Biskupska, R. Ratnayake

{"title":"On the Need for Effective Lean Daily Management in Engineering Design Projects: Development of a Framework","authors":"Daria Biskupska, R. Ratnayake","doi":"10.1109/IEEM44572.2019.8978660","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978660","url":null,"abstract":"Engineering contractors (ECs) need to focus on minimizing performance waste, in order to maintain their competitiveness, as the global petroleum industry experiences lack of investments in new projects, due to low oil and gas prices. This requires ECs to put great emphasis on: improving timeliness of current equipment deliveries; cost-effective and timely implementation of documentation; increased efficiency of engineering tools; and development of new products for future orders. Lean Daily Management (LDM) elements, such as visual control boards, daily accountability, and leader standard work, etc., with identified key performance indicators, support leaders to continuously improve processes and eliminate waste. This manuscript demonstrates the basics of LDM, then presents the findings regarding design project delivery and performance in a case study EC company. It also demonstrates the potential of using LDM to solve the existing challenges pertaining to design projects' delivery in the case study company. Finally, it presents a methodology and guidelines for implementing LDM to minimize backlog of design projects and waste of design projects' delivery process in the case study EC company, to avoid over-budget circumstances.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013920","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: 5

Using Survival Signature to Analyze Availability of Repairable System 用生存签名分析可修系统的可用性

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978895

Zhihong Xu, Yufeng Sun, Guangyan Zhao

引用次数: 3

A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample 基于层次特征融合的小样本缺陷识别方法

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978912

Yiping Gao, Liang Gao, Xinyu Li

引用次数: 5

Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data 面向大规模时空数据挖掘的高效压缩与预处理——以自动识别系统数据为例

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978767

Haiyan Xu, Vasundhara Jayaraman, Xiuju FU, N. Othman, Wanbing Zhang, Xiaofeng Yin, Deqing Zhai, R. Goh

{"title":"Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data","authors":"Haiyan Xu, Vasundhara Jayaraman, Xiuju FU, N. Othman, Wanbing Zhang, Xiaofeng Yin, Deqing Zhai, R. Goh","doi":"10.1109/IEEM44572.2019.8978767","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978767","url":null,"abstract":"The large scale deployment of sensor, Global Positioning System (GPS) and other mobile devices generates large volumes of spatiotemporal data, which facilitates the understandings of objects' movement trajectories and activities. However, it is very challenging to store, transfer and load such a large volume of data into system memory for processing and analysis. In this study, we look into a study case that processes the large scale of Automatic Identification System (AIS) data in the maritime sector, and propose a computational framework to efficiently compress, transfer and acquire necessary information for further data analysis. The framework is composed of two parts: The first is a lossless compression algorithm that compresses the AIS data into binary form for efficient storage, speedy loading and easy transfer across networks and systems within the organization; the second is an aggregation algorithm which derives movement and activity information of vessels grouped by grid and/or time window from the compressed binary files, therefore improves data accessibility and reduces storage demand. The proposed framework has been applied to extract vessel movement information within Singapore port with high compression rate and fast access speed, and it can be extensively applied for other data processing applications.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130453607","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