A note on the integrality gap of cutting and skiving stock instances

In this paper, we consider the (additive integrality) gap of the cutting stock problem (CSP) and the skiving stock problem (SSP). Formally, the gap is defined as the difference between the optimal values of the ILP and its LP relaxation. For both, the CSP and the SSP, this gap is known to be bounded...

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Bibliographic Details
Published in4OR Vol. 20; no. 1; pp. 85 - 104
Main Author Martinovic, John
Format Journal Article
LanguageEnglish
Published Berlin, Heidelberg Springer 01.03.2022
Springer Nature B.V
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Summary:In this paper, we consider the (additive integrality) gap of the cutting stock problem (CSP) and the skiving stock problem (SSP). Formally, the gap is defined as the difference between the optimal values of the ILP and its LP relaxation. For both, the CSP and the SSP, this gap is known to be bounded by 2 if, for a given instance, the bin size is an integer multiple of any item size, hereinafter referred to as the divisible case. In recent years, some improvements of this upper bound have been proposed. More precisely, the constants 3/2 and 7/5 have been obtained for the SSP and the CSP, respectively, the latter of which has never been published in English language. In this article, we introduce two reduction strategies to significantly restrict the number of representative instances which have to be dealt with. Based on these observations, we derive the new and improved upper bound 4/3 for both problems under consideration.
ISSN:1614-2411
1619-4500
1614-2411
DOI:10.1007/s10288-020-00469-4