Decision making framework for emergency response preparedness: A supply chain resilience approach

2016 ◽  
Author(s):  
G. Timperio ◽  
G.B. Panchal ◽  
R. De Souza ◽  
M. Goh ◽  
A. Samvedi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Emergency Response ◽  
Supply Chain Resilience ◽  
Decision Making Framework

Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy

2014 ◽  
Vol 120 ◽  
pp. 47-64 ◽  
Author(s):  
Naoum K. Tsolakis ◽  
Christos A. Keramydas ◽  
Agorasti K. Toka ◽  
Dimitrios A. Aidonis ◽  
Eleftherios T. Iakovou
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Hierarchical Decision Making ◽  
Chain Management ◽  
Hierarchical Decision ◽  
Decision Making Framework

scholarly journals Analysis of dynamic decision making underpinning supply chain resilience: A serious game approach

2016 ◽  
Vol 49 (19) ◽  
pp. 474-479 ◽  
Author(s):  
Tomomi Nonaka ◽  
Kentaro Miki ◽  
Ryo Odajima ◽  
Hajime Mizuyama
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Serious Game ◽  
Dynamic Decision Making ◽  
Supply Chain Resilience

scholarly journals Developing resilient supply chains: lessons from high-reliability organisations

2019 ◽  
Vol 25 (1) ◽  
pp. 77-100 ◽  
Author(s):  
Emmanuel Sawyerr ◽  
Christian Harrison
Keyword(s):  
Decision Making ◽  
Supply Chains ◽  
High Reliability ◽  
Risk Avoidance ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Literature Reviews ◽  
Decision Making Framework ◽  
Practical Implications

Purpose The purpose of this study is to identify the prescribed formative elements of supply chain resilience (SCR) in literature, to compare them with the unique characteristics of high reliability organisations (HROs) and derive lessons useful for improving SCR. Design/methodology/approach Two systematic literature reviews are carried out as follows: one on SCR and the other on HRO, which identified 107 studies and 18 papers, respectively. The results from the review are presented, analysed and synthesised. Findings Findings suggest that despite significant similarities in some of the proposed formative elements for SCR and the characteristics of HROs, the strong managerial commitment exhibited in HROs is absent in SCR literature. More importantly, the most cited characteristic of HROs, which is their flexible decision making structure is pointed out as a prima lesson towards developing resilience in supply chains. Practical implications A decision making framework to facilitate flexible decision making for supply chains during crisis is presented. Further, practical lessons are pointed out from principles common to both streams of literature such as redundancy, human resource management, collaboration, agility, flexibility, culture and risk avoidance that can be implemented in supply chains. Originality/value This paper is the first study to systematically review HROs, adapt a HRO decision making framework and also apply the Cynefin framework to SCR. This, therefore, provides the basis to launch further research into the use of these theories and the role of decision-making in SCR creation.

scholarly journals Design of emergency response manufacturing networks: a decision-making framework

Procedia CIRP ◽  
2021 ◽  
Vol 96 ◽  
pp. 151-156
Author(s):  
Yousef Haddad ◽  
Konstantinos Salonitis ◽  
Christos Emmanouilidis
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Manufacturing Networks ◽  
Decision Making Framework

scholarly journals MODELLING OF FINANCIAL RESOURCE ALLOCATION FOR INCREASING THE SUPPLY CHAIN RESILIENCE USING MARKOV CHAINS

2021 ◽  
Vol 8 (2) ◽  
pp. 141-151
Author(s):  
Martin Čech ◽  
Radim Lenort
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Supply Chain ◽  
Markov Chains ◽  
Research Direction ◽  
Global Market ◽  
Supply Chain Resilience ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact

The concept of supply chain resilience has arisen in response to changing conditions in the global market environment. Although supply chain resilience building is gaining increasing interest among the professional public and business practice, supporting decision-making in supply chain resilience building is still in its infancy. This article aims to present a mathematical model of the supply chain based on Markov chains to assess the impact of funds allocated to strengthening the supply chain’s resilience to its overall performance and thus support decision-making in the field. Mathematical model assumptions are presented, then a mathematical model of a linear supply chain is developed and generalized, tested and methodological recommendations are presented. To support the use of the model, a set of managerial implications is presented, benefits and limitations are discussed, and further research direction is defined.

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