Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/88302
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Type: Conference paper
Title: An intelligent framework to online bin packing in a just-in-time environment
Author: Polyakovskiy, S.
M'Hallah, R.
Citation: Modern Approaches in Applied Intelligence, Part 2, 2011 / Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Moonis, A. (ed./s), vol.6704 LNAI, iss.PART 2, pp.226-236
Publisher: Springer
Issue Date: 2011
Series/Report no.: Lecture Notes in Computer Science; 6704
ISBN: 9783642218262
ISSN: 0302-9743
1611-3349
Conference Name: International conference on industrial engineering and other applications of applied intelligent systems (28 Jun 2011 - 01 Jul 2011 : Syracuse, New York)
Statement of
Responsibility: 
Sergey Polyakovskiy, and Rym M'Hallah
Abstract: This paper addresses a complex real life manufacturing problem that occurs in paper and wood industries: the online bin packing and cutting of small items using parallel machines in a just-in-time environment. The objective is to minimize both the unused areas of the bins and the sum of weighted earliness and tardiness penalties. This NP hard problem is herein solved using an agent-based approach A-B. The active agents of A-B interact dynamically in real time to jointly fill the bins with items, assign cutting patterns to machines, cut them, and have the items delivered on time. The application of A-B to real life instances from a manufacturing company highlights the sizeable savings induced by A-B, and demonstrates its suitability for complex online real-life situations.
Keywords: Multi-agent; bin packing; parallel machine scheduling; JIT
Rights: © Springer-Verlag Berlin Heidelberg 2011
RMID: 0030007739
DOI: 10.1007/978-3-642-21827-9_23
Appears in Collections:Computer Science publications

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