PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING
<br /> <p align="justify">Transportation and distribution in logistics activity demand a company to have a mature transportation planning for resources efficiency. One of that transportation <br /> <br /> planning is route and vehicle planning. Recently a compa...
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id-itb.:257242018-03-15T16:51:58ZPDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING RIZALDI (NIM: 23415020), ARDIAN Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/25724 <br /> <p align="justify">Transportation and distribution in logistics activity demand a company to have a mature transportation planning for resources efficiency. One of that transportation <br /> <br /> planning is route and vehicle planning. Recently a company only considers one of best known strategy in transportation and distribution, i.e.: direct shipment and <br /> <br /> two-phase delivery (cross docking). However, those strategies do not guarantee to result optimal solution. <br /> <br /> This research discusses about the route development considering three possible route solution, i.e.: direct shipment, cross docking, or both of them. Moreover, this model considers vehicle capacity constraint, time windows, and fixed cost in objective function. <br /> <br /> In this research the vehicle flow formulation mathematical model and Simulated Annealing (SA) algorithm were developed. This research concludes that the developed algorithm is able to result solution with 0.23% gap and 558.36 times faster than branch-and-bound calculation. <br /> <p align="justify"> text |
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<br />
<p align="justify">Transportation and distribution in logistics activity demand a company to have a mature transportation planning for resources efficiency. One of that transportation <br />
<br />
planning is route and vehicle planning. Recently a company only considers one of best known strategy in transportation and distribution, i.e.: direct shipment and <br />
<br />
two-phase delivery (cross docking). However, those strategies do not guarantee to result optimal solution. <br />
<br />
This research discusses about the route development considering three possible route solution, i.e.: direct shipment, cross docking, or both of them. Moreover, this model considers vehicle capacity constraint, time windows, and fixed cost in objective function. <br />
<br />
In this research the vehicle flow formulation mathematical model and Simulated Annealing (SA) algorithm were developed. This research concludes that the developed algorithm is able to result solution with 0.23% gap and 558.36 times faster than branch-and-bound calculation. <br />
<p align="justify"> |
format |
Theses |
author |
RIZALDI (NIM: 23415020), ARDIAN |
spellingShingle |
RIZALDI (NIM: 23415020), ARDIAN PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
author_facet |
RIZALDI (NIM: 23415020), ARDIAN |
author_sort |
RIZALDI (NIM: 23415020), ARDIAN |
title |
PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
title_short |
PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
title_full |
PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
title_fullStr |
PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
title_full_unstemmed |
PDPCD, CROSS DOCKING, DIRECT SHIPPING, SIMULATED ANNEALING |
title_sort |
pdpcd, cross docking, direct shipping, simulated annealing |
url |
https://digilib.itb.ac.id/gdl/view/25724 |
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1822921648195502080 |