Please use this identifier to cite or link to this item:
|Title:||Critical evaluation of paradigms for modelling integrated supply chains|
|Authors:||van Dam, K.H.|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 21, 2019
WEB OF SCIENCETM
checked on Feb 5, 2019
checked on Jan 26, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.