Abstract
This research work considers the multi-product multi-period capacitated lot-sizing problem with setup times and overtime with backordering allowed (CLSPSTOB) under demand uncertainty by means of a budget-uncertainty set robust optimization. We first present a mixed integer linear programming (MILP) model that describes the deterministic CLSPSTOB with production costs, setup costs, inventory holding costs, backordering costs, and overtime costs. Then, a robust optimization approach is applied to deal with the demand uncertainty with unknown probability distribution, and a robust counterpart model based on duality theory is obtained. Some numerical experiments are presented for the robust capacitated lot-sizing problem with setup times and overtime with backordering allowed (RCLSPSTOB).
| Original language | English |
|---|---|
| Pages (from-to) | 589-594 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 52 |
| Issue number | 13 |
| DOIs | |
| State | Published - Sep 2019 |
Bibliographical note
Publisher Copyright:© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Keywords
- Budgeted uncertainty
- Lot-sizing
- Mixed integer linear programming
- Multi-products
- Multiperiod
- Production
- Robust optimization
- Uncertain demand
ASJC Scopus subject areas
- Control and Systems Engineering
Fingerprint
Dive into the research topics of 'A robust capacitated lot sizing problem with setup times and overtime decisions with backordering allowed under demand uncertainty'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver