It has been observed that the less than truck load (LTL) industry is going through significant transformation. After the last few years of decline in revenue, due to weak economy, the profitability of the LTL is on the rise. A strategy based on improving freight flow and density, and tightening terminal capacity is finally producing results for many LTL's, at the same time other LTL's are investing on expanding terminal network's while making bigger gains in the revenue. The availability of big data has revolutionised the way the LTL industry operates. The data assists in planning, efficient routing, safety control, fuel conservation, driving habits, etc. Analysts be- lieve that big data still has a bigger role to play and it will have significant impact on the LTL industry in the coming days. This chapter discusses the challenges and opportunities for LTL carriers as it arises due to the emergence of big data.
|Title of host publication||Supply Chain Management in the Big Data Era|
|Editors||H. K. Chan, N. Subramanian, M.D.A. Abdulrahman|
|Place of Publication||United States of America|
|Publisher||IGI Global; Web site: http://www.igi-global.com|
|Number of pages||15|
|Publication status||Published - 14 Nov 2016|
|Name||A volume in the Advances in Logistics, Operations, and Management Science (ALOMS) Book Series|
FingerprintDive into the research topics of 'Role of Operations Strategy and Big Data: A Study of Transport Company'. Together they form a unique fingerprint.
- Brighton Business School - Senior Lecturer
- Centre for Change, Entrepreneurship and Innovation Management