Applying human-machine interaction design principles to retrofit existing automated freight planning systems

With the increased application of cognitive computing across the spectrum of industries, companies strive to ready their people and machines for future system change. Based on resource constraints, business needs, and the speed of change, many companies may opt for system augmentation rather than the adoption of entirely new systems. At the same time, changes in technology are increasing at paces never before realized. Against this backdrop, human actors and machines are working together interactively in new and increasing ways. Further, recent business model innovations, particularly in the retail space, have cast focus on logistics execution as a potential major competitive advantage. In this context, we considered the conceptual question of how best to iteratively improve a logistics planning system, which is composed of both human and machine actors, to reduce transportation and labor costs and increase the ability of the organization to think and act strategically.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Supply Chain Management Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Ravenel, John Bishop.

Advisor dc:contributor.advisor

• Eva Ponce Cueto.

• Supply Chain Management 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/1721.1/122253

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122253