Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/117042
Title: Manufacturing production line modelling and classification of associated np-hard problems
Authors: Bonello, Joseph
Abela, John
Cachia, Ernest
Keywords: Assembly-line methods
Scheduling
Graph theory
Computational complexity
NP-complete problems
Issue Date: 2018
Publisher: Graphy Publications
Citation: Bonello, J., Abela, J., & Cachia, E. (2018). Manufacturing production line modelling and classification of associated np-hard problems. International Journal of Computer & Software Engineering, 2(128), 10.15344/2456-4451/2018/128.
Abstract: Optimisation of production lines is known to be NP-Hard in the general case so many near-optimal approximation algorithms have been researched to overcome the challenge. In this paper we describe an approach to modelling production lines using a graph theoretic model. In particular, we focus on single machine and job shop problems. We show that the model can be extended to open shop problems. We also discuss how the model can be used to classify scheduling problems from the generated models.
URI: https://www.um.edu.mt/library/oar/handle/123456789/117042
Appears in Collections:Scholarly Works - FacICTCIS



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