In vivo research scheduling and coordination in the pharmaceutical industry

(cont.) A multi-criteria objective function uses the researcher's preference to optimize both room assignments and procedure start time. A Tabu search meta-heuristic has been developed to generate a near-optimal solution. The solution approach uses four neighborhood move strategies based on insert and interval exchange algorithms to optimize procedural room assignments. Although a functioning model was not developed, a recommended implementation plan is discussed.

Department dc:contributor.department

Leaders for Manufacturing Program at MIT

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2008

Author dc:creator

• Hill, Brent A. (Brent Alan)

Advisor dc:contributor.advisor

• Stanley B. Gershwin and Andreas S. Schulz.

• Mechanical Engineering.
• Sloan School of Management.
• Leaders for Manufacturing Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

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

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/43830

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/43830