2016
DOI: 10.1590/0101-7438.2016.036.01.0167
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Mip Models for the Integrated Lot-Sizing and One-Dimensional Cutting Stock Problem

Abstract: ABSTRACT. Production processes comprising both the lot-sizing problem and the cutting stock problem are frequent in various industrial sectors. However these problems are usually treated separately, which can generates suboptimal overall solution and consequently causes production losses. In this paper, we propose different mathematical models for the integrated problem combining alternative models for the lot-sizing and the cutting stock problem, in order to evaluate and indicate the impact of these changes o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 32 publications
0
7
0
Order By: Relevance
“…In Melega, de Araujo, and Jans (2016) , several models with a general application that integrate the lot-sizing problem and cutting stock problem at different levels are proposed. One of the models is composed of three levels, where at level 1, a demand balance constraint of objects is modeled with a parameter that limits the number of objects available in each period for each type of object, i.e., the production of objects is assumed as given and the decisions are only related to the planning of the objects in stock.…”
Section: Integration Across Multiple Periods and Levels 1 2 And 3 ( mentioning
confidence: 99%
See 4 more Smart Citations
“…In Melega, de Araujo, and Jans (2016) , several models with a general application that integrate the lot-sizing problem and cutting stock problem at different levels are proposed. One of the models is composed of three levels, where at level 1, a demand balance constraint of objects is modeled with a parameter that limits the number of objects available in each period for each type of object, i.e., the production of objects is assumed as given and the decisions are only related to the planning of the objects in stock.…”
Section: Integration Across Multiple Periods and Levels 1 2 And 3 ( mentioning
confidence: 99%
“…Analyzing the features of the objects, we can see from Table 4 that less than half of the studies consider only one type of object, whereas most of the studies address multiple types, which correspond to different materials, lengths, colors, classes, diameters, families, grades, thicknesses or qualities. In some studies, the objects can be available in a limited number ( Agostinho et al, 2016;Aktin & Özdemir, 2009;Melega et al, 2016;Reinders, 1992;Suliman, 2012;Viegas et al, 2016 ). In other studies that consider usable leftover, there are also residual objects available, in addition to the limited number of standard objects ( Agostinho et al, 2016;Silva et al, 2014;Trkman & Gradisar, 2007;Viegas et al, 2016 ).…”
Section: Additional Aspects Regarding the Objectsmentioning
confidence: 99%
See 3 more Smart Citations