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Models for the Assembly Line Balancing Problem

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dc.contributor.advisor Fleszar, Krzysztof
dc.contributor.author Mouawad, Antoinette
dc.date.accessioned 2020-09-22T13:00:05Z
dc.date.available 2020-09-22T13:00:05Z
dc.date.issued 9/22/2020
dc.identifier.uri http://hdl.handle.net/10938/21920
dc.description Dr. Khalil S. Hindi
dc.description.abstract We review the literature models for the Assembly Line Balancing Problem (ALBP), present multiple variants of models for ALBP, and propose a new mixed integer linear model that uses a network flow formulation to represent the load of each station. We use the network compression algorithm proposed by Branda˜o and Pedroso (2016) for bin packing to reduce the number of variables and constraints in the network flow formulation. We perform computational experiments to test the models and compare their performance on standard benchmark problem instances.
dc.language.iso en_US
dc.subject Optimization
dc.subject ALBP
dc.subject Assembly Line Balancing Problem
dc.subject Network flow
dc.subject MILP
dc.subject Mixed Integer Linear Programming
dc.title Models for the Assembly Line Balancing Problem
dc.type Thesis
dc.contributor.department Olayan School of Business
dc.contributor.faculty Suliman S. Olayan School of Business
dc.contributor.institution American University of Beirut


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