Ranked sequence positional weight heuristic for simultaneous balancing and scheduling jobs in a distributed manufacturing environment

In the current competitive and globalized manufacturing scenario Distributed Manufacturing Environments are increasing, and it turns mandatory to explore improved operational approaches. For enhanced simultaneous balancing and scheduling jobs in a Distributed Manufacturing Environment (DME) a mathem...

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Bibliographic Details
Published in:Procedia CIRP 2018, Vol.67, p.3-7
Main Authors: Kays, Emrul, Karim, Atashgar, Varela, Leonilde, Putnik, Goran, Ávila, Paulo
Format: Article
Language:English
Subjects:
Distributed manufacturing environments
Heuristics
Integer programming
Mathematical model
RSPW
Simultaneous balancing and scheduling
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Summary:In the current competitive and globalized manufacturing scenario Distributed Manufacturing Environments are increasing, and it turns mandatory to explore improved operational approaches. For enhanced simultaneous balancing and scheduling jobs in a Distributed Manufacturing Environment (DME) a mathematical model of Ranked Sequence Positional Weight (RSPW) is proposed. The model capabilities are analysed through a test problem and the results have demonstrated that the proposed RSPW heuristics mathematical model do perform better than other competitive approaches.
ISSN:2212-8271
2212-8271
DOI:10.1016/j.procir.2017.12.166