Assessing disaster risks in supply chains

Purpose – As organizations increase their dependence on supply chain networks, they become more susceptible to their suppliers’ disaster risk profiles, as well as other categories of risk associated with supply chains. Therefore, it is imperative that supply chain network participants are capable of assessing the disaster risks associated with their supplier base. The purpose of this paper is to assess the supplier disaster risks, which are a key element of external risk in supply chains. Design/methodology/approach – The study participants are 15 automotive casting suppliers who display a significant degree of disaster risks to a major US automotive company. Bayesian networks are used as a methodology for examining the supplier disaster risk profiles for these participants. Findings – The results of this study show that Bayesian networks can be effectively used to assist managers in making decisions regarding current and prospective suppliers vis-a-vis their potential revenue impact as illustrated throug...

[1]  P. Schönsleben,et al.  System-oriented supply chain risk management , 2009 .

[2]  J. Frank Yates,et al.  The risk construct. , 1992 .

[3]  Phillip M. Yelland,et al.  A Bayesian Model for Sales Forecasting at Sun Microsystems , 2010, Interfaces.

[4]  F. Knight The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .

[5]  Uta Jüttner Supply chain risk management: Understanding the business requirements from a practitioner perspective , 2005 .

[6]  Richard Verrall,et al.  Modeling Operational Risk with Bayesian Networks , 2007 .

[7]  Michael Luby,et al.  Approximating Probabilistic Inference in Bayesian Belief Networks is NP-Hard , 1993, Artif. Intell..

[8]  Liang-Hsuan Chen,et al.  Integrated vendor-buyer cooperative inventory models with variant permissible delay in payments , 2007, Eur. J. Oper. Res..

[9]  J. Mentzer,et al.  GLOBAL SUPPLY CHAIN RISK MANAGEMENT , 2008 .

[10]  Yan Wang,et al.  Decision support under uncertainties based on robust Bayesian networks in reverse logistics management , 2009, Int. J. Comput. Appl. Technol..

[11]  J. Martha,et al.  TARGETING A JUST-IN-CASE SUPPLY CHAIN FOR THE INEVITABLE NEXT DISASTER. , 2002 .

[12]  K. Lai,et al.  Responsive supply chain : A competitive strategy in a networked economy , 2008 .

[13]  Bhanu S. Ragu-Nathan,et al.  The impact of supply chain management practices on competitive advantage and organizational performance , 2006 .

[14]  Amy Z. Zeng,et al.  The optimal use of standby suppliers: A decision-analysis approach , 2005 .

[15]  P. J. Singh,et al.  Strategic supply chain management issues in the automotive industry: an Australian perspective , 2005 .

[16]  MengChu Zhou,et al.  Methods toward supply chain risk analysis , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[17]  Panagiotis Kouvelis,et al.  Order Quantity and Timing Flexibility in Supply Chains: The Role of Demand Characteristics , 2005, Manag. Sci..

[18]  Kevin McCormack,et al.  Analysing risks in supply networks to facilitate outsourcing decisions , 2010 .

[19]  B. Gaudenzi,et al.  Managing risks in the supply chain using the AHP method , 2006 .

[20]  William T. Ziemba,et al.  Derivative Effects of the 1999 Earthquake in Taiwan to U.S. Personal Computer Manufacturers , 2001 .

[21]  Charbel José Chiappetta Jabbour,et al.  Measuring supply chain management practices , 2011 .

[22]  A. Lockamy Benchmarking supplier risks using Bayesian networks , 2011 .

[23]  M. A. Rahman,et al.  Peak demand forecasting for a seasonal product using Bayesian approach , 2011, J. Oper. Res. Soc..

[24]  Ann Vereecke,et al.  Organising for supply chain management , 2011 .

[25]  Kevin McCormack,et al.  Examining Operational Risks in Supply Chains , 2009 .

[26]  Sotiris Makris,et al.  Supply chain control logic for enabling adaptability under uncertainty , 2011 .

[27]  Xinlei Wang,et al.  Managing Supply Uncertainties Through Bayesian Information Update , 2010, IEEE Transactions on Automation Science and Engineering.

[28]  G. Kushwaha Operational Performance through Supply Chain Management Practices , 2012 .

[29]  Chia-Hui Huang,et al.  Supply chain diagnostics with dynamic Bayesian networks , 2005, Comput. Ind. Eng..

[30]  P. Yelland Bayesian forecasting of parts demand , 2010 .

[31]  Germaine H. Saad,et al.  Managing Disruption Risks in Supply Chains , 2005 .

[32]  Xiangyang Li,et al.  A knowledge integration framework for complex network management , 2007, Ind. Manag. Data Syst..

[33]  Robert E. Spekman,et al.  Risky business: expanding the discussion on risk and the extended enterprise , 2004 .

[34]  Dale S. Rogers,et al.  The Demand Management Process , 2002 .

[35]  D. Abell,et al.  Competing Today While Preparing for Tomorrow , 1999 .

[36]  Herbert Kotzab,et al.  Supply chain management and hypercompetition , 2009, Logist. Res..

[37]  Jasjit Singh,et al.  Agency Costs in a Supply Chain with Demand Uncertainty and Price Competition , 2005, Manag. Sci..

[38]  Subu Venkataraman,et al.  Value at risk for a mixture of normal distributions: the use of quasi- Bayesian estimation techniques , 1997 .

[39]  Kevin McCormack,et al.  Supply chain risk management : minimizing disruptions in global sourcing , 2007 .

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

[41]  Brian Tomlin,et al.  Impact of Supply Learning When Suppliers Are Unreliable , 2009, Manuf. Serv. Oper. Manag..

[42]  Håkan Håkansson,et al.  Supply Chain Management: The Logic of Supply Chains and Networks , 2004 .

[43]  Werner Jammernegg,et al.  Performance improvement of supply chain processes by coordinated inventory and capacity management , 2007 .

[44]  Emmett J. Lodree,et al.  A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management , 2011, J. Oper. Res. Soc..

[45]  Brian S. Fugate,et al.  SUPPLY CHAIN MANAGEMENT COORDINATION MECHANISMS , 2006 .

[46]  H. Peck Reconciling supply chain vulnerability, risk and supply chain management , 2006 .

[47]  Ravi Shankar,et al.  Mapping supply chains on risk and customer sensitivity dimensions , 2006, Ind. Manag. Data Syst..

[48]  I. S. P. Daryle Niedermayer,et al.  An Introduction to Bayesian Networks and Their Contemporary Applications , 2008, Innovations in Bayesian Networks.

[49]  Francis D. Tuggle,et al.  A Methodology for Assessing the Value of Knowledge in a Service Parts Supply Chain , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[50]  Uma Kumar,et al.  Supply management practices and performance in the Canadian hospitality industry , 2010 .

[51]  Jennifer Blackhurst,et al.  A model for inbound supply risk analysis , 2006, Comput. Ind..

[52]  M. E. Johnson,et al.  The Supply-Chain Management Effect , 2003 .

[53]  Dwight R. Sanders,et al.  The Role of Value‐at‐Risk in Purchasing: An Application to the Foodservice Industry , 2002 .

[54]  D. Yen,et al.  A structural model of supply chain management on firm performance , 2010 .

[55]  Nezih Altay,et al.  IMPACT OF DISASTERS ON FIRMS IN DIFFERENT SECTORS: IMPLICATIONS FOR SUPPLY CHAINS , 2010 .

[56]  O. Khan,et al.  Risk and supply chain management: creating a research agenda , 2007 .