Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compchemeng.2009.01.023
Title: Critical evaluation of paradigms for modelling integrated supply chains
Authors: van Dam, K.H.
Adhitya, A.
Srinivasan, R. 
Lukszo, Z.
Keywords: Agent-based models
Benchmarking
Equation-based models
Modelling
Oil refinery
Supply chain
Issue Date: 14-Oct-2009
Source: van Dam, K.H., Adhitya, A., Srinivasan, R., Lukszo, Z. (2009-10-14). Critical evaluation of paradigms for modelling integrated supply chains. Computers and Chemical Engineering 33 (10) : 1711-1726. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2009.01.023
Abstract: Contemporary problems in process systems engineering often require model-based decision support tool. Among the various modelling paradigms, equation-based models and agent-based models are widely used to develop dynamic models of systems. Which is the most appropriate modelling paradigm for a supply chain? In this paper, we seek to address this important question through a well-structured benchmarking process. First, we demonstrate that in the space of models, 'equations' and 'agents' are concepts of a different order, the former referring to the system description elements in the model while the latter emphasises the model elements. Thus conceptually, the two paradigms are not mutually exclusive. Next, in a case study different dynamic models of an oil refinery supply chain are developed, using different tools and approaches. By performing detailed experiments with two different models, it is demonstrated that the models are equivalent when compared using model definition, numerical results and recommended decisions. However, the modelling process itself is different and results in different model structures. By analysing the effort required to expand the models, allowing new scenarios to be tested, and re-use of model components, we identify the strengths of the two paradigms in the context of supply chain modelling. © 2009 Elsevier Ltd. All rights reserved.
Source Title: Computers and Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63678
ISSN: 00981354
DOI: 10.1016/j.compchemeng.2009.01.023
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