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Application of Analytical Decision Models for Managing Supply Chain Risk

  • Gholamhossein Movaghatian
  • , Mohammed Sheikh (Editor)
  • , Tim Stallard (Editor)
  • , Zengbo Wang (Editor)
  • , Alistair Revell (Editor)

Research output: Contribution to conferencePoster

Abstract

This poster explains the impact of efficient decision models for managing disruption on supply chains as a serious challenge for today supply continuity which strongly affects both the performance of the whole process and the preservation of the shareholder value. Risk is unwillingly inherent within supply chain and its nodes because of the complexity of networks, uncertainties and unforeseen events. However, by understanding the sources of risk and prioritizing them, firms can take a proactive view for reducing and managing these risks. The poster therefore examines the fundamental causes of risk and analyses basic approaches with regard to managing supply, demand, information and product as well as techniques for measuring and assessing risk. In order to meet the needs of customers timely, an efficient strategy, which could cover the whole of the network, is definitely invaluable. To mitigate risk and disruption costs, implementation of a decision support system is likely to be used in the supply chain. It facilitates managers to observe the primary results from the system and through its knowledge-base and conflict resolution support models, enables them to take the efficient decisions with regard to the existing situation as well.
Original languageEnglish
Pages52-52
Number of pages1
Publication statusPublished - 14 Dec 2011
EventPGRMACE 2011, Postgraduate Research Conference - The University of Manchester
Duration: 14 Dec 201114 Dec 2011

Conference

ConferencePGRMACE 2011, Postgraduate Research Conference
CityThe University of Manchester
Period14/12/1114/12/11

Keywords

  • supply chain risk
  • risk management
  • decision support system

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