Freight Transportation Resilience in Response to Supply Chain Disruptions (2019) / Chapter Skim
Currently Skimming:
Pages 70-73
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 70... ...
70 Table 7: Pharmaceutical Tonnage and Value between Miami and Houston, Base Case and Disruption Scenarios, Both Directions (2007) Mode Tonnage (Ktons)
|
From page 71... ...
71 Table 9: FAF Mode Descriptions for Pharmaceutical Disruption Scenario Mode ID Mode Description Remarks 1 Truck Includes private and for-hire truck. Private trucks are owned or operated by shippers and exclude personal use vehicles hauling over-the-counter purchases from retail establishments.
|
From page 72... ...
72 5.5.1 Freight Fluidity Measures In general, freight fluidity describes how well a physical supply chain performs in a freight transportation network. Different transportation performance measures are considered in order to answer questions such as: how well are the links and nodes on the network operating?
|
From page 73... ...
73 Travel Risk: Quantifying travel risk is more challenging. Risks affecting product integrity, loss, damage and theft, as well as incorrect item counts are routinely monitored by freight shippers, receivers, carriers and their insurers, but this data generally are not made public and may not be compiled outside the respective organizations.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.