Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs
Successful transport-on-demand (TOD) requires having sufficient capacity in the right location to meet demand when it occurs. Consumer and recovery vehicle locations are variable, and the vehicle recovery service is contracted out in the service supply chain. This research aims to identify how dif...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Operations research society of Taiwan
2017-09-01
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| Series: | International Journal of Operations Research |
| Subjects: | |
| Online Access: | http://www.orstw.org.tw/ijor/vol14no3/IJOR2017_vol14_no3_p121_p138.pdf |
| _version_ | 1818129914440712192 |
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| author | Linh N. K. Duong Lincoln C. Wood Jason X. Wang William Y. C. Wang |
| author_facet | Linh N. K. Duong Lincoln C. Wood Jason X. Wang William Y. C. Wang |
| author_sort | Linh N. K. Duong |
| collection | DOAJ |
| description | Successful transport-on-demand (TOD) requires having sufficient capacity in the right location to
meet demand when it occurs. Consumer and recovery vehicle locations are variable, and the vehicle recovery service
is contracted out in the service supply chain. This research aims to identify how different variables/factors influence
backlogs during busy periods and service performance. A case study of a vehicle recovery company was undertaken
using observation and analysis of historical data to map the process. Discrete event simulation (DES) was used to
model several processes to evaluate the operational impact of changes. We find that ensuring complete and accurate
information transmission over the chain supports the TOD service by enhancing the ‘allocation’ activity of the
dispatch center staff; i.e., pairing vehicles to consumer requirements. Simple changes to how information is collected,
shared, and used in the service supply chain can significantly reduce the percentage of jobs taking more than a given
time. |
| first_indexed | 2024-12-11T07:56:43Z |
| format | Article |
| id | doaj.art-114e52e7aedf4acabf9daa96a507d8f9 |
| institution | Directory Open Access Journal |
| issn | 1813-713X 1813-7148 |
| language | English |
| last_indexed | 2024-12-11T07:56:43Z |
| publishDate | 2017-09-01 |
| publisher | Operations research society of Taiwan |
| record_format | Article |
| series | International Journal of Operations Research |
| spelling | doaj.art-114e52e7aedf4acabf9daa96a507d8f92022-12-22T01:15:13ZengOperations research society of TaiwanInternational Journal of Operations Research1813-713X1813-71482017-09-01143121138Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent BacklogsLinh N. K. Duong0Lincoln C. Wood1Jason X. Wang2William Y. C. Wang3Department of Business Information Systems, Auckland University of Technology, 120 Mayoral Drive, Auckland, New ZealandLogistics Research Cluster, Curtin University, Bentley, Western Australia, AustraliaDepartment of Management, University of Otago, PO Box 56, Dunedin 9054, New ZealandDepartment of Management Systems, Waikato Management School, Hamilton, New ZealandSuccessful transport-on-demand (TOD) requires having sufficient capacity in the right location to meet demand when it occurs. Consumer and recovery vehicle locations are variable, and the vehicle recovery service is contracted out in the service supply chain. This research aims to identify how different variables/factors influence backlogs during busy periods and service performance. A case study of a vehicle recovery company was undertaken using observation and analysis of historical data to map the process. Discrete event simulation (DES) was used to model several processes to evaluate the operational impact of changes. We find that ensuring complete and accurate information transmission over the chain supports the TOD service by enhancing the ‘allocation’ activity of the dispatch center staff; i.e., pairing vehicles to consumer requirements. Simple changes to how information is collected, shared, and used in the service supply chain can significantly reduce the percentage of jobs taking more than a given time.http://www.orstw.org.tw/ijor/vol14no3/IJOR2017_vol14_no3_p121_p138.pdftransport-on-demand (TOD)vehicle recovery service provider (VRSP) backlogservice supply chaininformation accuracyinformation completeness |
| spellingShingle | Linh N. K. Duong Lincoln C. Wood Jason X. Wang William Y. C. Wang Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs International Journal of Operations Research transport-on-demand (TOD) vehicle recovery service provider (VRSP) backlog service supply chain information accuracy information completeness |
| title | Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs |
| title_full | Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs |
| title_fullStr | Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs |
| title_full_unstemmed | Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs |
| title_short | Transport On-Demand in a Service Supply Chain Experiencing Seasonal Demand: Managing Persistent Backlogs |
| title_sort | transport on demand in a service supply chain experiencing seasonal demand managing persistent backlogs |
| topic | transport-on-demand (TOD) vehicle recovery service provider (VRSP) backlog service supply chain information accuracy information completeness |
| url | http://www.orstw.org.tw/ijor/vol14no3/IJOR2017_vol14_no3_p121_p138.pdf |
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