Fresh Food Cold-Chain Logistics Requirement Element Classification Based on Kano and Failure Mode and Effect Analysis (FMEA)
- https://doi.org/10.2991/aebmr.k.200908.064How to use a DOI?
- Kano model, FMEA, requirement classification, fresh food cold-chain
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/aebmr.k.200908.064 ID - Wang2020 ER -