Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207543.2011.639816
Title: Scheduling dynamic block assembly in shipbuilding through hybrid simulation and spatial optimisation
Authors: Zhuo, L. 
Huat, D.C.K.
Wee, K.H.
Keywords: dynamic scheduling
shipbuilding
simulation
spatial planning
Issue Date: 2012
Citation: Zhuo, L., Huat, D.C.K., Wee, K.H. (2012). Scheduling dynamic block assembly in shipbuilding through hybrid simulation and spatial optimisation. International Journal of Production Research 50 (20) : 5986-6004. ScholarBank@NUS Repository. https://doi.org/10.1080/00207543.2011.639816
Abstract: Scheduling block assembly in shipyard production poses great difficulties regarding the accurate prediction of the required spatial resource and effective production control for achieving managerial objectives due to the dynamic spatial layout and the stochastic nature of the production system. In this study, this dynamic space-constrained problem is viewed as two sequential decisions, namely rule-based dispatching and a static spatial configuration. A novel hybrid planning method is developed to employ discrete-event simulation as look-ahead scheduling to evaluate the system performance under various control policies. To rationalise block placement and improve long-term area utilisation, a discrete spatial optimisation problem is formulated and solved using an enumeration-based search algorithm, followed by the application of a series of heuristic positioning strategies. By imitation of the dynamic dispatching and spatial operation, a statistical analysis of the resultant performance can be conducted to select the best-performing priority rules. A case study with an experimental investigation is performed for a local shipyard to demonstrate the applicability of the proposed method. © 2012 Copyright Taylor and Francis Group, LLC.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/39726
ISSN: 00207543
DOI: 10.1080/00207543.2011.639816
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