Proceedings of the Conference on Global Research on Sustainable Transport (GROST 2017)

OPTIMIZING DELIVERY ROUTE BY APPLYING MILKRUN METHOD

Authors
Putri Setiani, Hanifah Fiddieny, Edhie Budi Setiawan, Diah Etika Cahyanti
Corresponding Author
Putri Setiani
Available Online November 2017.
DOI
https://doi.org/10.2991/grost-17.2018.65How to use a DOI?
Keywords
Optimal Route, Milk Run, Direct Shipment
Abstract
Efficiency of the optimal vehicle route to generate effective delivery is an important issue in the logistics world. The common methods usually practiced in delivery systems are direct shipment, indirect shipment and milk run method. The objective of this research is to analyze the optimization of delivery route by comparing direct shipment method to milk run method to obtain effective delivery. This research involved 8 suppliers and 1 delivery route from the total population of 18 suppliers at PT. Toyota Motor Manfacturing Indonesia and 4 delivery routes in Cikarang area. Data were analyzed by using Vehicle Routing Problem and saving matrix method. The result shows that the optimal delivery route can minimize the distance and vehicle leadtime, therefore, the total cost spent in the milkrun delivery process is cheaper than by applying direct shipment method. It can be concluded that regular parts shipment process by using milk run method is more effective than by using direct shipment method
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Global Research on Sustainable Transport (GROST 2017)
Part of series
Advances in Engineering Research
Publication Date
November 2017
ISBN
978-94-6252-449-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/grost-17.2018.65How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Putri Setiani
AU  - Hanifah Fiddieny
AU  - Edhie Budi Setiawan
AU  - Diah Etika Cahyanti
PY  - 2017/11
DA  - 2017/11
TI  - OPTIMIZING DELIVERY ROUTE BY APPLYING MILKRUN METHOD
BT  - Global Research on Sustainable Transport (GROST 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/grost-17.2018.65
DO  - https://doi.org/10.2991/grost-17.2018.65
ID  - Setiani2017/11
ER  -