Abstract
We present an O (n2) dynamic programming algorithm for lot sizing with inventory bounds and fixed costs, where n is the number of time periods. The algorithm utilizes a hierarchy of two layers of value functions and improves the complexity bound of an earlier O (n3) algorithm for concave-cost and bounded inventory.
Original language | English (US) |
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Pages (from-to) | 297-299 |
Number of pages | 3 |
Journal | Operations Research Letters |
Volume | 36 |
Issue number | 3 |
DOIs | |
State | Published - May 2008 |
Keywords
- Dynamic programming
- Extreme points
- Lot sizing
ASJC Scopus subject areas
- Software
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics