Risks management : new literature review

The complexity of the industrial activities and the important mass of flows crossing the supply chain promotes the emergence of risks that must be considered in the decision process. For this reason, we have developed this paper to clarify the basics of risk management through a short new suggestion of literature review for risk management. Our justification of this attempt is that this area is the most discussed in our days and it is impossible to present all definition of the risk concept, we have tried to collect the most recent studies in this paper.

[1]  Davide Aloini,et al.  Modelling and assessing ERP project risks: A Petri Net approach , 2012, Eur. J. Oper. Res..

[2]  Samer Al Hawari,et al.  Knowledge-Based Risk Management framework for Information Technology project , 2012, Int. J. Inf. Manag..

[3]  Yong Yin,et al.  Supplier risk management: An economic model of P-chart considered due-date and quality risks , 2012 .

[4]  O. Tang,et al.  Identifying risk issues and research advancements in supply chain risk management , 2011 .

[5]  Nan Liu,et al.  Risk evaluation approaches in failure mode and effects analysis: A literature review , 2013, Expert Syst. Appl..

[6]  P. K. Marhavilas,et al.  Developing a new alternative risk assessment framework in the work sites by including a stochastic and a deterministic process: A case study for the Greek Public Electric Power Provider , 2012 .

[7]  T.C.E. Cheng,et al.  Supply risk management via guanxi in the Chinese business context: The buyer's perspective , 2012 .

[8]  Xulei Wang,et al.  Analysis of Factors that Influence Hazardous Material Transportation Accidents Based on Bayesian Networks: A Case Study in China , 2012 .

[9]  Laurent Perrin,et al.  Normative barriers improvement through the MADS/MOSAR methodology , 2012 .

[10]  Eleftherios Iakovou,et al.  Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework , 2012, Comput. Oper. Res..

[11]  A. Spalanzani,et al.  Comment gérer les risques liés à la chaîne logistique ? Une réponse par les pratiques de SCRM , 2010 .

[12]  Jörn-Henrik Thun,et al.  An empirical analysis of supply chain risk management in the German automotive industry , 2011 .

[13]  Guohua Chen,et al.  A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks , 2012 .

[14]  M. Giannakis,et al.  A multi-agent based framework for supply chain risk management , 2011 .

[15]  Nan Liu,et al.  Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment , 2012, Expert Syst. Appl..

[16]  Jochen Köhler,et al.  Prediction of road accidents: A Bayesian hierarchical approach. , 2013, Accident; analysis and prevention.

[17]  Alexander Fekete,et al.  Safety and security target levels: Opportunities and challenges for risk management and risk communication , 2012 .

[18]  Metin Celik,et al.  Application of failure modes and effects analysis to main engine crankcase explosion failure on-board ship , 2013 .

[19]  Olivier Lavastre,et al.  Supply chain risk management in French companies , 2012, Decis. Support Syst..

[20]  Seyed Bagher Hosseini,et al.  Risk assessment model selection in construction industry , 2011, Expert Syst. Appl..

[21]  K. Lai,et al.  The dark side of logistics outsourcing – Unraveling the potential risks leading to failed relationships , 2012 .

[22]  Liang Cheng,et al.  A novel method of quantitative risk assessment based on grid difference of pipeline sections , 2013 .

[23]  Mohamed Habib Mazouni.  Pour une meilleure approche du management des risques : de la modélisation ontologique du processus accidentel au système interactif d'aide à la décision , 2008 .

[24]  José Manuel Gutiérrez,et al.  Bayesian network analysis of safety culture and organizational culture in a nuclear power plant , 2013 .

[25]  Rolf Olsson,et al.  In search of opportunity management: Is the risk management process enough? , 2007 .

[26]  Gonca Tuncel,et al.  Risk assessment and management for supply chain networks: A case study , 2010, Comput. Ind..

[27]  Terje Aven,et al.  Risk communication in the light of different risk perspectives , 2013, Reliab. Eng. Syst. Saf..

[28]  Hong Ji,et al.  Quantitative risk assessment model of hazardous chemicals leakage and application , 2012 .

[29]  Ali F. Bakr,et al.  Heuristic Approach for Risk Assessment Modeling: EPCCM Application; Engineer Procure Construct Contract Management , 2012 .

[30]  Christopher S. Tang.  Perspectives in supply chain risk management , 2006 .

[31]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[32]  H. Walker,et al.  Risk in supply networks , 2003 .

[33]  Terje Aven,et al.  The risk concept - historical and recent development trends , 2012, Reliab. Eng. Syst. Saf..

[34]  Yi-Chih Yang.  Risk management of Taiwan’s maritime supply chain security , 2011 .

[35]  Seyed Hessameddin Zegordi,et al.  Developing a supply chain disruption analysis model: Application of colored Petri-nets , 2012, Expert Syst. Appl..

[36]  Ennouri Wissem,et al.  Risks management in Tunisian industry: Case study , 2013, 2013 International Conference on Advanced Logistics and Transport.

[37]  Cigdem Sofyalioglu,et al.  The Selection of Global Supply Chain Risk Management Strategies by Using Fuzzy Analytical Hierarchy Process – A Case from Turkey , 2012 .