System Analysis for the Traceability and Logistics Management of Fresh Agricultural Products Supply Chain

DOI

10.2991/mse-17.2017.26How to use a DOI?

Keywords

component; logistics management information system; fresh agricultural products; model-driven business transformation

Abstract

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. Specific 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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu-Chuan Liu
AU  - Hong-Mei Gao
PY  - 2017/10
DA  - 2017/10
TI  - System Analysis for the Traceability and Logistics Management of Fresh Agricultural Products Supply Chain
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 100
EP  - 105
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.26
DO  - 10.2991/mse-17.2017.26
ID  - Liu2017/10
ER  -