Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry

Hu Yi-Chung; Chiu Yu-Jing; Hsu Chung-Sheng; Chang Yu-Ying

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Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry

机译：确定将基于GPS的舰队管理系统引入物流行业的关键因素

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The rise of e-commerce and globalization has changed consumption patterns. Different industries have different logistical needs. In meeting needs with different schedules logistics play a key role. Delivering a seamless service becomes a source of competitive advantage for the logistics industry. Global positioning system-based fleet management system technology provides synergy to transport companies and achieves many management goals such as monitoring and tracking commodity distribution, energy saving, safety, and quality. A case company, which is a subsidiary of a very famous food and retail conglomerate and operates the largest shipping line in Taiwan, has suffered from the nonsmooth introduction of GPS-based fleet management systems in recent years. Therefore, this study aims to identify key factors for introducing related systems to the case company. By using DEMATEL and ANP, we can find not only key factors but also causes and effects among key factors. The results showed that support from executives was the most important criterion but it has the worst performance among key factors. It is found that adequate annual budget planning, enhancement of user intention, and collaboration with consultants with high specialty could be helpful to enhance the faith of top executives for successfully introducing the systems to the case company.

机译：电子商务和全球化的兴起改变了消费方式。不同的行业有不同的物流需求。在满足具有不同时间表的需求中，物流扮演着关键角色。提供无缝服务成为物流行业竞争优势的来源。基于全球定位系统的车队管理系统技术可为运输公司提供协同作用，并实现许多管理目标，例如监视和跟踪商品分配，节能，安全和质量。一家案例公司是一家非常著名的食品和零售企业集团的子公司，并经营着台湾最大的航运公司。近年来，该公司遭受了基于GPS的车队管理系统引入不畅的困扰。因此，本研究旨在确定将相关系统引入案例公司的关键因素。通过使用DEMATEL和ANP，我们不仅可以找到关键因素，而且可以找到关键因素中的因果关系。结果表明，高管的支持是最重要的标准，但在关键因素中却表现最差。我们发现，适当的年度预算计划，增强用户的意愿以及与具有高度专业知识的顾问的协作可能有助于增强高层管理人员的信心，以成功地将系统引入案例公司。

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来源
《Mathematical Problems in Engineering》 |2015年第16期|413203.1-413203.14|共14页
作者
Hu Yi-Chung; Chiu Yu-Jing; Hsu Chung-Sheng; Chang Yu-Ying;
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Chung Yuan Christian Univ, Dept Business Adm, Taoyuan 32023, Taiwan.;

Chung Yuan Christian Univ, Dept Business Adm, Taoyuan 32023, Taiwan.;

Chung Yuan Christian Univ, Dept Business Adm, Taoyuan 32023, Taiwan.;

Chung Yuan Christian Univ, Dept Business Adm, Taoyuan 32023, Taiwan.;

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1. Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry [J] . Yi-ChungHu, Yu-JingChiu, Chung-ShengHsu, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第5期

机译：确定将基于GPS的舰队管理系统引入物流行业的关键因素
2. Identifying the key organisational human factors for introducing human-robot collaboration in industry: an exploratory study [J] . Charalambous George, Fletcher Sarah, Webb Philip The International Journal of Advanced Manufacturing Technology . 2015,第9a12期

机译：确定在行业中引入人机协作的关键组织人为因素：一项探索性研究
3. Identifying Ecosystem Key Factors to Support Sustainable Water Management [J] . International journal of applied mechanics . 2020,第3期

机译：识别生态系统关键因素，以支持可持续水管理
4. Identifying Key Success Factors of Sustainability in Supply Chain Management for Industry 4.0 Using DEMATEL Method [C] . Malleshappa T. Bhagawati, E. Manavalan, K. Jayakrishna, International Conference on Intelligent Manufacturing and Automation . 2019

机译：用Dematel方法确定工业供应链管理可持续性的关键成功因素
5. Identifying key success factors for the implementation of enterprise content management systems. [D] . Horne, Stephanie Burnett. 2014

机译：确定实施企业内容管理系统的关键成功因素。
6. A systems biological approach to identify key transcription factors and their genomic neighborhoods in human sarcomas [O] . Antti Ylipää, Olli Yli-Harja, Wei Zhang, 2011

机译：一种系统生物学方法用于识别人肉瘤中的关键转录因子及其基因组邻域
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry

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