<abstract xmlns="http://www.w3.org/1999/xhtml"><p> With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural and dairy products. It is quite often that customers receive poor or broken products due to mistakes or wrong ways in transportation. This leads customers the unsatisfied for companies’ products are relatively low. To solve the above problem, this paper proposes a new approach of using frequent closed sequential mining technology to analysis logistics data for helping companies to track the possible transportation problems. The approach consists of several important steps: RFID-enabled raw data collection, frequent sequential patterns mining, and patterns analysis. The experiment shows the proposed analysis method can discover many inside transportation service causes.</p></abstract>

With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural and dairy products. It is quite often that customers receive poor or broken products due to mistakes or wrong ways in transportation. This leads customers the unsatisfied for companies’ products are relatively low. To solve the above problem, this paper proposes a new approach of using frequent closed sequential mining technology to analysis logistics data for helping companies to track the possible transportation problems. The approach consists of several important steps: RFID-enabled raw data collection, frequent sequential patterns mining, and patterns analysis. The experiment shows the proposed analysis method can discover many inside transportation service causes.

Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China

Department of Industrial Engineering and Management, Yuan-Ze University, Chungli 32003, Taiwan

Innovation Center for Big Data and Digital Convergence, Yuan-Ze University, Chungli 32003, Taiwan

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural...

Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

Data publikacji: 19 sie 2016

Zakres stron: 185 - 194

DOI: https://doi.org/10.1515/cait-2016-0042

Słowa kluczowe
Customer satisfaction, Transportation service, Data mining, Sequential patterns

© by Haisong Huang

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

Data publikacji: 19 sie 2016

Zakres stron: 185 - 194

DOI: https://doi.org/10.1515/cait-2016-0042

Słowa kluczoweCustomer satisfaction, Transportation service, Data mining, Sequential patterns

© by Haisong Huang

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
Customer satisfaction, Transportation service, Data mining, Sequential patterns