A Mathematical formulation and a lower bound for the three-dimensional multiple-bin-size bin packing problem (MBSBPP): A Tunisian industrial case

Author(s):  
Mariem Baazaoui ◽  
Said Hanafi ◽  
Hichem Kamoun

2010 ◽  
Vol 43 (8) ◽  
pp. 72-76 ◽  
Author(s):  
Mhand Hifi ◽  
Imed Kacem ◽  
Stephane Negre ◽  
Lei Wu


2007 ◽  
Vol 35 (3) ◽  
pp. 365-373 ◽  
Author(s):  
François Clautiaux ◽  
Antoine Jouglet ◽  
Joseph El Hayek


2003 ◽  
Vol 15 (3) ◽  
pp. 267-283 ◽  
Author(s):  
Oluf Faroe ◽  
David Pisinger ◽  
Martin Zachariasen


2002 ◽  
Vol 141 (2) ◽  
pp. 410-420 ◽  
Author(s):  
Andrea Lodi ◽  
Silvano Martello ◽  
Daniele Vigo


2013 ◽  
Vol 24 (08) ◽  
pp. 1299-1327 ◽  
Author(s):  
ROLF HARREN ◽  
KLAUS JANSEN ◽  
LARS PRÄDEL ◽  
ULRICH M. SCHWARZ ◽  
ROB VAN STEE

In this paper, we study the two-dimensional geometrical bin packing problem (2DBP): given a list of rectangles, provide a packing of all these into the smallest possible number of unit bins without rotating the rectangles. Beyond its theoretical appeal, this problem has many practical applications, for example in print layout and VLSI chip design. We present a 2-approximate algorithm, which improves over the previous best known ratio of 3, matches the best results for the problem where rotations are allowed and also matches the known lower bound of approximability. Our approach makes strong use of a PTAS for a related 2D knapsack problem and a new algorithm that can pack instances into two bins if OPT = 1.



2005 ◽  
Vol 53 (4) ◽  
pp. 735-736 ◽  
Author(s):  
Edgar den Boef ◽  
Jan Korst ◽  
Silvano Martello ◽  
David Pisinger ◽  
Daniele Vigo




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