A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study
Cloud computing is changing the ways software is developed and managed in enterprises, which is changing the way of doing business in that dynamically scalable and virtualized resources are regarded as services over the Internet. Traditional manufacturing systems such as supply chain management (SC...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/4/6144 |
| _version_ | 1828118693246140416 |
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| author | Shang-Liang Chen Yun-Yao Chen Chiang Hsu |
| author_facet | Shang-Liang Chen Yun-Yao Chen Chiang Hsu |
| author_sort | Shang-Liang Chen |
| collection | DOAJ |
| description | Cloud computing is changing the ways software is developed and managed in enterprises, which is changing the way of doing business in that dynamically scalable and virtualized resources are regarded as services over the Internet. Traditional manufacturing systems such as supply chain management (SCM), customer relationship management (CRM), and enterprise resource planning (ERP) are often developed case by case. However, effective collaboration between different systems, platforms, programming languages, and interfaces has been suggested by researchers. In cloud-computing-based systems, distributed resources are encapsulated into cloud services and centrally managed, which allows high automation, flexibility, fast provision, and ease of integration at low cost. The integration between physical resources and cloud services can be improved by combining Internet of things (IoT) technology and Software-as-a-Service (SaaS) technology. This study proposes a new approach for developing cloud-based manufacturing systems based on a four-layer SaaS model. There are three main contributions of this paper: (1) enterprises can develop their own cloud-based logistic management information systems based on the approach proposed in this paper; (2) a case study based on literature reviews with experimental results is proposed to verify that the system performance is remarkable; (3) challenges encountered and feedback collected from T Company in the case study are discussed in this paper for the purpose of enterprise deployment. |
| first_indexed | 2024-04-11T13:36:30Z |
| format | Article |
| id | doaj.art-802e39256f6849459981f51e08c30178 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:36:30Z |
| publishDate | 2014-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-802e39256f6849459981f51e08c301782022-12-22T04:21:27ZengMDPI AGSensors1424-82202014-03-011446144616410.3390/s140406144s140406144A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case StudyShang-Liang Chen0Yun-Yao Chen1Chiang Hsu2Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan City 70101, TaiwanInstitute of Manufacturing Information and Systems, National Cheng Kung University, Tainan City 70101, TaiwanDepartment of Business Administration, Chang Jung Christian University, Tainan City 71101, TaiwanCloud computing is changing the ways software is developed and managed in enterprises, which is changing the way of doing business in that dynamically scalable and virtualized resources are regarded as services over the Internet. Traditional manufacturing systems such as supply chain management (SCM), customer relationship management (CRM), and enterprise resource planning (ERP) are often developed case by case. However, effective collaboration between different systems, platforms, programming languages, and interfaces has been suggested by researchers. In cloud-computing-based systems, distributed resources are encapsulated into cloud services and centrally managed, which allows high automation, flexibility, fast provision, and ease of integration at low cost. The integration between physical resources and cloud services can be improved by combining Internet of things (IoT) technology and Software-as-a-Service (SaaS) technology. This study proposes a new approach for developing cloud-based manufacturing systems based on a four-layer SaaS model. There are three main contributions of this paper: (1) enterprises can develop their own cloud-based logistic management information systems based on the approach proposed in this paper; (2) a case study based on literature reviews with experimental results is proposed to verify that the system performance is remarkable; (3) challenges encountered and feedback collected from T Company in the case study are discussed in this paper for the purpose of enterprise deployment.http://www.mdpi.com/1424-8220/14/4/6144Software-as-a-ServiceInternet of thingsLogistic Cloudcloud manufacturing |
| spellingShingle | Shang-Liang Chen Yun-Yao Chen Chiang Hsu A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study Sensors Software-as-a-Service Internet of things Logistic Cloud cloud manufacturing |
| title | A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study |
| title_full | A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study |
| title_fullStr | A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study |
| title_full_unstemmed | A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study |
| title_short | A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study |
| title_sort | new approach to integrate internet of things and software as a service model for logistic systems a case study |
| topic | Software-as-a-Service Internet of things Logistic Cloud cloud manufacturing |
| url | http://www.mdpi.com/1424-8220/14/4/6144 |
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