Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach
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 lea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-09-01
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| Series: | Cybernetics and Information Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cait-2016-0042 |
| _version_ | 1818745124543266816 |
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| author | Huang Haisong Yao Liguo Tsai Chieh-Yuan |
| author_facet | Huang Haisong Yao Liguo Tsai Chieh-Yuan |
| author_sort | Huang Haisong |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T02:55:13Z |
| format | Article |
| id | doaj.art-4d40d044e3194e8b9d7a123647970519 |
| institution | Directory Open Access Journal |
| issn | 1314-4081 |
| language | English |
| last_indexed | 2024-12-18T02:55:13Z |
| publishDate | 2016-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj.art-4d40d044e3194e8b9d7a1236479705192022-12-21T21:23:23ZengSciendoCybernetics and Information Technologies1314-40812016-09-0116318519410.1515/cait-2016-0042Transportation Service Quality Improvement through Closed Sequential Pattern Mining ApproachHuang Haisong0Yao Liguo1Tsai Chieh-Yuan2Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, ChinaKey Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, ChinaDepartment of Industrial Engineering and Management, Yuan-Ze University, Chungli 32003, TaiwanWith 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.https://doi.org/10.1515/cait-2016-0042customer satisfactiontransportation servicedata miningsequential patterns |
| spellingShingle | Huang Haisong Yao Liguo Tsai Chieh-Yuan Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach Cybernetics and Information Technologies customer satisfaction transportation service data mining sequential patterns |
| title | Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach |
| title_full | Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach |
| title_fullStr | Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach |
| title_full_unstemmed | Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach |
| title_short | Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach |
| title_sort | transportation service quality improvement through closed sequential pattern mining approach |
| topic | customer satisfaction transportation service data mining sequential patterns |
| url | https://doi.org/10.1515/cait-2016-0042 |
| work_keys_str_mv | AT huanghaisong transportationservicequalityimprovementthroughclosedsequentialpatternminingapproach AT yaoliguo transportationservicequalityimprovementthroughclosedsequentialpatternminingapproach AT tsaichiehyuan transportationservicequalityimprovementthroughclosedsequentialpatternminingapproach |