A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales

Title
A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales
Authors
Keywords
Stochastic lot-sizing, Remanufacturing system, Lost sales, Multi-stage stochastic integer programming, Scenario tree, Valid inequalities, Branch-and-cut algorithm
Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 116, Issue -, Pages 104865
Publisher
Elsevier BV
Online
2019-12-13
DOI
10.1016/j.cor.2019.104865

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now