EconPapers    
Economics at your fingertips  
 

Cutting Stock Problems

Hatem Ben Amor () and José Valério de Carvalho ()
Additional contact information
Hatem Ben Amor: École Polytechnique and GERAD
José Valério de Carvalho: Universidade do Minho

Chapter Chapter 5 in Column Generation, 2005, pp 131-161 from Springer

Abstract: Abstract Column generation has been proposed by Gilmore and Gomory to solve cutting stock problem, independently of Dantzig-Wolfe decomposition. We survey the basic models proposed for cutting stock and the corresponding solution approaches. Extended Dantzig-Wolfe decomposition is surveyed and applied to these models in order to show the links to Gilmore-Gomory model. Branching schemes discussion is based on the subproblem formulation corresponding to each model. Integer solutions are obtained by combining heuristics and branch-and-price schemes. Linear relaxations are solved by column generation. Stabilization techniques such as dual-optimal inequalities and stabilized column generation algorithms that have been proposed to improve the efficiency of this process are briefly discussed.

Keywords: Knapsack Problem; Column Generation; Master Problem; Integer Solution; Linear Programming Relaxation (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (14)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-25486-9_5

Ordering information: This item can be ordered from
http://www.springer.com/9780387254869

DOI: 10.1007/0-387-25486-2_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-0-387-25486-9_5