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  Published Paper Details:

  Paper Title

BUILDING A NETWORK-BASED METHODOLOGY TO MODEL SUPPLY CHAIN SYSTEMS.

  Authors

  Subair Pattikkadan,  R. Mohammed Abdul Naseer,  Firoze Mohammed. K

  Keywords

Supply Chain , SCS , Entropy , Network , IOT

  Abstract


It's important to note that supply chains are interconnected networks of suppliers, manufacturers, distributors and customers. Typical supply chains are defined by their complexity and the inherent uncertainty in their operations. Using a supply chain network's evolution model might help you better understand how it grows. Supply chain traits and attributes are frequently left out of current evolution models. "Based on external market demand and internal rivalry and cooperation, this paper provides a novel supply chain evolution model that centres on manufacturers. Evolution presupposes that the external market environment is largely steady and takes into account a number of elements, including supply chain topology, external market demand, ecological growth and conservation. Supply chain systems are modelled and analysed using network-based techniques. A supply chain is depicted as an abstracted network in the technique. It is possible to incorporate stochastic variables into the model so that the supply chain's operational uncertainty can be modelled. There are many complicated structural and behavioural features of supply chain systems that can't be successfully modelled by traditional engineering and operations management methodologies (SCSs).

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2112499

  Paper ID - 214410

  Page Number(s) - e611-e620

  Pubished in - Volume 9 | Issue 12 | December 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Subair Pattikkadan,  R. Mohammed Abdul Naseer,  Firoze Mohammed. K,   "BUILDING A NETWORK-BASED METHODOLOGY TO MODEL SUPPLY CHAIN SYSTEMS.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 12, pp.e611-e620, December 2021, Available at :http://www.ijcrt.org/papers/IJCRT2112499.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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