| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 5 | |
| Section | Session 1: Robotics | |
| DOI | https://doi.org/10.1051/itmconf/20171201026 | |
| Published online | 05 September 2017 | |
Requirement Analysis for the Collaborative Supply and Logistics Management of Fresh Agricultural Products
Department of Economic Management,Tianjin Agricultural University, Tianjin, China
* e-mail: ycliu_icloud@me.com
** e-mail: t00258@mail.tut.edu.tw
*** Corresponding author: gaohongmei@126.com
Issues and concerns for food safety, agro-processing, and the environmental and ecological impact of food production have been attracted many research interests. Traceability and logistics management of fresh agricultural products is faced with the technological challenges including food product label and identification, activity/process characterization, information systems for the supply chain, i.e., from farm to table. Application of information technologies for food processing and logistics industry in the fields of smart packaging and materials, automation and control technology, standards and their application scenarios, and production management principles were wildly studied. A collaborative research project for the supply and logistics of fresh agricultural products in Tianjin was performed. System analysis for the logistics management information system is studied. The model-driven business transformation, an approach uses formal models to explicitly define the structure and behavior of a business, is applied for the review and analysis process. Requirements for the logistic management solutions are proposed. Development of this research is crucial for the solution integration of supply and logistic management information system for fresh agricultural products.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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