Floor health predictive support for highly automated distribution centers

While automated mobile inventory systems have greatly increased productivity, it has also created a new set of operational challenges. Floor health events, such as fallen product, spills, disabled robots, and floor access can degrade overall floor performance by obstructing access to product, forcing robots to re-route to less efficient paths, exacerbating congestion, increasing idle time, and potentially reducing throughput. Floor health issues are interdependent and have cascading effects, making their impacts difficult to track, visualize, and address. Reactive support and reliance on training and adoption of best practices is not scalable. As the network continues to grow, there is a need to improve real-time visibility and preventative measures into floor conditions. This project consisted of five main phases: research, hypothesis, testing, evaluation, and implementation.

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Stinson, Emily(Emily Anne Matsushino)

Advisor dc:contributor.advisor

• Yanchong (Karen) Zheng and Saurabh Amin.

• Sloan School of Management.
• Civil and Environmental Engineering.
• Leaders for Global Operations Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122448

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122448