Abstract
The case focuses on truck high idle time, truck detention, and enroute challenges faced by Nagpur Golden Transport Company, a trucking company with a fleet size of 150 trucks. Being in a highly competitive market, every single order not fulfilled by the transporter is an opportunity lost. How should NGTC use GPS data, MIS, and other freight transport technological capabilities in reducing truck idling times, and increasing trip revenues?
Additional Information
| Product Type | Case |
|---|---|
| Reference No. | PROD0318 |
| Title | Nagpur Golden Transport Company: From Data to Insights |
| Pages | 17 |
| Published on | Jan 8, 2018 |
| Year of Event | 2017 |
| Authors | Roy, Debjit; |
| Area | Production Management (PROD) |
| Discipline | Operations Management |
| Sector | Transportation and Logistics |
| Learning Objective | Through this case, the participants will understand how data-driven and technology-enabled business processes can identify long trucking delay patterns, and manage customer expectations. The participatns will be able to understand the concept of truck utilization, and waiting time components in the transport process. |
| Keywords | Trip Delays; Data-driven Decisions; Root Cause Analysis |
| Country | India |
| Organization | Nagpur Golden Transport Company |
| Access | For All |
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