Fresh Food Cold-Chain Logistics Requirement Element Classification Based on Kano and Failure Mode and Effect Analysis (FMEA)

DOI

10.2991/aebmr.k.200908.064How to use a DOI?

Keywords

Kano model, FMEA, requirement classification, fresh food cold-chain

Abstract

In view of the subjectivity of traditional Kano model when analyzing data, the existing methods of Kano and failure mode and effect analysis (FMEA) were integrated to define the accurate requirement classification curve of Kano model. Then the risk priority number (RPN) value was calculated to determine the priority of preventive measures based on the optimization of parameter K. Finally, the feasibility and effectiveness of accurate classification of customer requirements were verified by empirical research, and the priority of requirement for the fresh food cold-chain enterprises to improve customer satisfaction was determined, and corresponding strategies were given, which was of guiding significance to enhance the competitiveness of the fresh food cold-chain e-commerce enterprises.

Copyright

© 2020, 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  - Yi Wang
AU  - Yao Feng
PY  - 2020
DA  - 2020/09/08
TI  - Fresh Food Cold-Chain Logistics Requirement Element Classification Based on Kano and Failure Mode and Effect Analysis (FMEA)
BT  - Proceedings of the 3rd International Conference on Economy, Management and Entrepreneurship (ICOEME 2020)
PB  - Atlantis Press
SP  - 389
EP  - 393
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200908.064
DO  - 10.2991/aebmr.k.200908.064
ID  - Wang2020
ER  -