Please use this identifier to cite or link to this item:
Title: Vehicle routing and capacity decision models applicable to third party logistics providers
Authors: Wang, Ricardo Huan Ran
Keywords: DRNTU::Engineering::Manufacturing
Issue Date: 2005
Abstract: The importance of the logistics industry globally has risen in tandem with the expansion of global commerce and manufacturing. There is an increasing need to engage the services of third party logistics (3PL) service providers to aid in the rapid penetration of new markets and responsive order fulfillment. Consequently, 3PL firms have to acquire and expand service offerings and physical infrastructure to remain relevant. In such a highly competitive environment, 3PL firms need to improve asset utilization, especially of revenue generating asset classes of vehicle fleet and warehouses, to maintain price competitiveness and operational efficiency. In view of the lack of relevant models in this young and growing industry, we provide the practitioners a review of models in other industries, especially manufacturing, that are relevant and similar in operations of fleet management. Using this as a guide, the practitioner can identify models particularly suited to the unique challenges of his own 3PL operations and suggest improvements to his own algorithms. We also provide a simple yet efficient heuristic that aids the practitioner in the consolidation of warehousing operations to obtain cost economies and other indirect qualitative benefits of customer responsiveness and flexibility. Using the algorithm, the practitioner is able to decide which warehouses to consolidate to achieve maximum leasing and operational cost savings in an expedient manner, while taking into account early termination penalties and relocation costs.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SMA Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
Main Report927.36 kBAdobe PDFView/Open

Page view(s)

Updated on Nov 28, 2020

Download(s) 50

Updated on Nov 28, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.