Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques
The authors propose an innovative Internet of Things (IoT) based E-commerce business model Cloud Laundry for mass scale laundry services. The model utilises big data analytics, intelligent logistics management, and machine learning techniques. Using GPS and real-time update of big data, it calculate...
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| Published in | International journal of production research Vol. 58; no. 17; pp. 5113 - 5131 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Taylor & Francis
01.09.2020
Taylor & Francis LLC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-7543 1366-588X |
| DOI | 10.1080/00207543.2019.1677961 |
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| Abstract | The authors propose an innovative Internet of Things (IoT) based E-commerce business model Cloud Laundry for mass scale laundry services. The model utilises big data analytics, intelligent logistics management, and machine learning techniques. Using GPS and real-time update of big data, it calculates the best transportation path and update and re-route the logistic terminals quickly and simultaneously. Cloud laundry intelligently and dynamically provides the best laundry solutions based on the current state spaces of the laundry terminals through the user's specifications and thus offers local hotel customers with convenient, efficient, and transparent laundry services. Taking advantage of the rapid development of the big data industry, user interest modelling, and information security and privacy considerations, cloud laundry uses smartphone terminal control and big data models to maintain customers' security needs. Different from the traditional laundry industry, cloud laundry companies have higher capital turnover, more liquidity, and stronger profitability. Therefore, this new generation of smart laundry business model could be of interest to not only academic researchers, but E-commerce entrepreneurs as well. |
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| AbstractList | The authors propose an innovative Internet of Things (IoT) based E-commerce business model Cloud Laundry for mass scale laundry services. The model utilises big data analytics, intelligent logistics management, and machine learning techniques. Using GPS and real-time update of big data, it calculates the best transportation path and update and re-route the logistic terminals quickly and simultaneously. Cloud laundry intelligently and dynamically provides the best laundry solutions based on the current state spaces of the laundry terminals through the user's specifications and thus offers local hotel customers with convenient, efficient, and transparent laundry services. Taking advantage of the rapid development of the big data industry, user interest modelling, and information security and privacy considerations, cloud laundry uses smartphone terminal control and big data models to maintain customers’ security needs. Different from the traditional laundry industry, cloud laundry companies have higher capital turnover, more liquidity, and stronger profitability. Therefore, this new generation of smart laundry business model could be of interest to not only academic researchers, but E-commerce entrepreneurs as well. |
| Author | Wu, Liang Lin, Dongtao Feng, Yongfu Liu, Chang Guo, Min |
| Author_xml | – sequence: 1 givenname: Chang surname: Liu fullname: Liu, Chang organization: Southwestern University of Finance and Economics – sequence: 2 givenname: Yongfu surname: Feng fullname: Feng, Yongfu organization: Southwestern University of Finance and Economics – sequence: 3 givenname: Dongtao surname: Lin fullname: Lin, Dongtao organization: School of Language and Culture, Sichuan University – sequence: 4 givenname: Liang orcidid: 0000-0002-3606-356X surname: Wu fullname: Wu, Liang email: LiangWu@scu.edu.cn organization: School of Economics, Sichuan University – sequence: 5 givenname: Min surname: Guo fullname: Guo, Min organization: China Great Wall Asset Management Co., Ltd |
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| SubjectTerms | Analytics Big Data big data analytics Business models Customers Data analysis Electronic commerce intelligent manufacturing systems Internet of Things Laundries Logistics management Machine learning performance measures Profitability real time scheduling Smartphones Transport buildings, stations and terminals |
| Title | Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques |
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