Transport on-demand in a service supply chain experiencing seasonal demand:: Managing persistent backlogs

Linh N.K. Duong, Lincoln C. Wood, Jason X. Wang, William Y. C. Wang

Research output: Contribution to journalArticle

Abstract

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
LanguageEnglish
Pages121-138
Number of pages18
JournalInternational Journal of Operations Research
Volume14
Issue number3
Publication statusPublished - 2017
Externally publishedYes

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Supply chain
Service performance
Discrete event simulation
Staff
Factors

Cite this

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Transport on-demand in a service supply chain experiencing seasonal demand: Managing persistent backlogs. / Duong, Linh N.K.; Wood, Lincoln C.; Wang, Jason X.; Wang, William Y. C.

In: International Journal of Operations Research, Vol. 14, No. 3, 2017, p. 121-138.

Research output: Contribution to journalArticle

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