By Topic

Optimization with Conflicting Objectives in Logistic Services

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Christina Aperjis ; Stanford University. Email: ; Ray Strong

We study a single period supply chain model with deterministic demand at the destination and multiple paths through which supplies can be sent. Each path may fail independently. When a path fails, the supply that is sent through that path does not arrive at the destination. We wish to minimize the expected shortage, but also minimize the total supply that is used. We investigate the behavior of various heuristics, deriving some general rules for making good choices and proving an advantage to complex optimization techniques over simple heuristics. We show that when multiple paths have the same characteristics, the optimal solution can be computed significantly faster.

Published in:

Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on

Date of Conference:

27-29 Aug. 2007