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2018 | OriginalPaper | Buchkapitel

Balancing Assembly Lines and Matching Demand Through Worker Reallocations

verfasst von : Randall Mauricio Pérez-Wheelock, Van-Nam Huynh

Erschienen in: Modeling Decisions for Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

Assembly lines are of great importance in most actual production systems and thus continue attracting strong research interest. We address a real industry scenario where the aim of the line is to target a production output that meets, as much as possible, a given demand forecast. To the best of our knowledge, the existing literature has not tackled this problem, and we named it the demand-driven assembly line (re)balancing problem. A mixed integer programming model is developed, solved using genetic algorithm, and tested in the straight assembly line, providing useful insights about the dynamics of worker reallocations.

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Titel: Balancing Assembly Lines and Matching Demand Through Worker Reallocations
verfasst von: Randall Mauricio Pérez-Wheelock
Van-Nam Huynh
Verlag: Springer International Publishing
Buch: Modeling Decisions for Artificial Intelligence
Print ISBN: 978-3-030-00201-5

Electronic ISBN: 978-3-030-00202-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00202-2_17

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