Supply chain risk and resilience: theory building through structured experiments and simulation

References

• Ambulkar, S. , J. Blackhurst , and S. Grawe . 2015. “Firm's Resilience to Supply Chain Disruptions: Scale Development and Empirical Examination.” Journal of Operations Management 33–34 (1): 111–122.10.1016/j.jom.2014.11.002
   Web of Science ®Google Scholar
• Blackhurst, J. , C. W. Craighead , D. Elkins , and R. B. Handfield . 2005. “An Empirically Derived Agenda of Critical Research Issues for Managing Supply-Chain Disruptions.” International Journal of Production Research 43 (19): 4067–4081.10.1080/00207540500151549
   Web of Science ®Google Scholar
• Blackhurst, J. , K. S. Dunn , and C. W. Craighead . 2011. “An Empirically Derived Framework of Global Supply Resiliency.” Journal of Business Logistics 32 (4): 374–391.10.1111/jbl.2011.32.issue-4
   Web of Science ®Google Scholar
• Bruneau, M. , S. E. Chang , R. T. Eguchi , G. C. Lee , T. D. O’Rourke , A. M. Reinhorn , M. Shinozuka , K. Tierney , W. A. Wallace , and D. von Winterfeldt . 2003. “A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities.” Earthquake Spectra 19 (4): 733–752.10.1193/1.1623497
   Web of Science ®Google Scholar
• Bruneau, M. , and A. Reinhorn . 2007. “Exploring the Concept of Seismic Resilience for Acute Care Facilities.” Earthquake Spectra 23 (1): 41–62.10.1193/1.2431396
   Web of Science ®Google Scholar
• Carvalho, H. , A. P. Barroso , V. H. Machado , S. Azevedo , and V. Cruz-Machado . 2012. “Supply Chain Redesign for Resilience Using Simulation.” Computers and Industrial Engineering 62 (1): 329–341.10.1016/j.cie.2011.10.003
   Web of Science ®Google Scholar
• Chang, S. , and M. Shinozuka . 2004. “Measuring Improvements in the Disaster Resilience of Communities.” Earthquake Spectra 20 (3): 739–755.10.1193/1.1775796
   Web of Science ®Google Scholar
• Chiang, C.-Y. , C. Kocabasoglu-Hillmer , and N. Suresh . 2012. “An Empirical Investigation of the Impact of Strategic Sourcing and Flexibility on Firm’s Supply Chain Agility.” International Journal of Operations and Production Management 32 (1): 49–78.10.1108/01443571211195736
   Web of Science ®Google Scholar
• Choi, T. Y. , and D. R. Krause . 2006. “The Supply Base and Its Complexity: Implications for Transaction Costs, Risks, Responsiveness, and Innovation.” Journal of Operations Management 24 (5): 637–652.10.1016/j.jom.2005.07.002
   Web of Science ®Google Scholar
• Chrisman, J. , C. Hofer , and W. R. Boulton . 1988. “Towards a System for Classifying Business Strategies.” Academy of Management Review 13 (3): 413–428.
   Web of Science ®Google Scholar
• Christopher, M. , and H. Peck . 2004. “Building the Resilient Supply Chain.” International Journal of Logistics Management 15 (2): 1–14.10.1108/09574090410700275
   Google Scholar
• Colicchia, C. , and F. Strozzi . 2012. “Supply Chain Risk Management: A New Methodology for a Systematic Literature Review.” Supply Chain Management: An International Journal 17 (4): 403–418.10.1108/13598541211246558
   Web of Science ®Google Scholar
• Costantino, N. , M. Dotoll , M. Falagario , M. P. Fanti , and M. Agostino . 2012. “A Model for Supply Management of Agile Manufacturing Supply Chains.” International Journal of Production Economics 135 (1): 451–457.10.1016/j.ijpe.2011.08.021
   Web of Science ®Google Scholar
• Craighead, C. W. , J. Blackhurst , M. J. Rungtusanatham , and R. B. Handfield . 2007. “The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities.” Decision Sciences 38 (1): 131–156.10.1111/deci.2007.38.issue-1
   Web of Science ®Google Scholar
• Croson, R. , K. Donohue , E. Katok , and J. Sterman . 2014. “Order Stability in Supply Chains: Coordination Risk and the Role of Coordination Stock.” Production and Operations Management Journal 23 (2): 176–196.10.1111/poms.2014.23.issue-2
   Web of Science ®Google Scholar
• Davis, J. P. , K. M. Eisenhardt , and C. B. Bingham . 2007. “Developing Theory through Simulation Rethods.” Academy of Management Review 32 (2): 480–499.10.5465/AMR.2007.24351453
   Web of Science ®Google Scholar
• Falasca, M. , C. W. Zobel , and D. F. Cook . 2008. “A Decision Support Framework to Assess Supply Chain Resilience.” Proceedings of the 5th International ISCRAM Conference, Washington, DC, 596–605.
   Google Scholar
• Fiksel, J. , M. Polyviou , K. L. Croxton , and T. J. Pettit . 2015. “From Risk to Resilience: Learning to Deal with Disruptions.” Sloan Management Review 56 (2): 79–86.
   Google Scholar
• Forrester, J. W. 1961. Industrial Dynamics . Cambridge, MA: The MIT Press.
   Google Scholar
• Greimel, H. 2012. “Tsunami: The Aftermath.” Automotive News . Accessed June 26, 2017. http://www.autonews.com/article/20120312/OEM01/303129960/tsunami:-the-aftermath#axzz2gNsWS43r
   Google Scholar
• Groff, E. R. 2007. “Simulation for Theory Testing and Experimentation: An Example Using Routine Activity Theory and Street Robbery.” Journal of Quantitative Criminology 23 (2): 75–103.10.1007/s10940-006-9021-z
   Web of Science ®Google Scholar
• Handfield, R. B. , and S. A. Melnyk . 1998. “The Scientific Theory-Building Process: A Primer Using the Case of TQM.” Journal of Operations Management 16: 321–339.10.1016/S0272-6963(98)00017-5
   Google Scholar
• Harrison, J. R. , Z. Lin , G. R. Carroll , and K. M. Carley . 2007. “Simulation Modeling in Organizational and Management Research.” Academy of Management Review 32 (4): 1229–1245.10.5465/AMR.2007.26586485
   Web of Science ®Google Scholar
• Heckmann, I. , T. Comes , and S. Nickel . 2015. “A Critical Review on Supply Chain Risk – Definition, Measure and Modeling.” Omega 52: 119–132.10.1016/j.omega.2014.10.004
   Web of Science ®Google Scholar
• Hendricks, K. B. , and V. R. Singhal . 2003. “The Effect of Supply Chain Glitches on Shareholder Wealth.” Journal of Operations Management 21: 501–522.10.1016/j.jom.2003.02.003
   Web of Science ®Google Scholar
• Hendricks, K. B. , and V. R. Singhal . 2005a. “An Empirical Analysis of the Effect of Supply Chain Disruptions on Long Run Stock Price Performance and Equity Risk of the Firm.” Production and Operations Management 14: 35–52.
   Web of Science ®Google Scholar
• Hendricks, K. B. , and V. R. Singhal . 2005b. “Association between Supply Chain Glitches and Operating Performance.” Management Science 51 (5): 695–711.10.1287/mnsc.1040.0353
   Web of Science ®Google Scholar
• Hendricks, K. B. , and V. R. Singhal . 2014. “The Effect of Demand-Supply Mismatches on Firm Risk.” Production and Operations Management 23 (12): 2137–2151.10.1111/poms.2014.23.issue-12
   Web of Science ®Google Scholar
• Ho, W. , T. Zheng , H. Yildiz , and S. Talluri . 2015. “Supply Chain Risk Management: A Literature Review.” International Journal of Production Research 53 (16): 5031–5069.10.1080/00207543.2015.1030467
   Web of Science ®Google Scholar
• Ivanov, D. 2017. “Simulationbased Ripple Effect Modelling in the Supply Chain.” International Journal of Production Research 55 (7): 20832101.
   Web of Science ®Google Scholar
• Ivanov, D. , B. Sokolov , I. Solovyeva , A. Dolgui , and F. Jie . 2016. “Dynamic Recovery Policies for Time-Critical Supply Chains under Conditions of Ripple Effect.” International Journal of Production Research 54 (23): 7245–7258.10.1080/00207543.2016.1161253
   Web of Science ®Google Scholar
• Kim, S.-H. , and B. Tomlin . 2013. “Guilt to Association: Strategic Failure Prevention and Recovery Capacity Investments.” Management Science 59 (7): 1631–1649.10.1287/mnsc.1120.1658
   Web of Science ®Google Scholar
• Kumar, R. L. , S. Park , and C. Subramaniam . 2008. “Understanding the Value of Countermeasure Portfolios in Information Systems Security.” Journal of Management Information Systems 25 (2): 241–280.10.2753/MIS0742-1222250210
   Web of Science ®Google Scholar
• Latour, A. 2001. “Trial by Fire: A Blaze in Albuquerque Sets off Major Crisis for Cellphone Giants.” Wall Street Journal   January 29, 2001.
   Google Scholar
• Lee, Y. H. , M. K. Cho , S. J. Kim , and Y. B. Kim . 2002. “Supply Chain Simulation with Discrete–Continuous Combined Modeling.” Computers and Industrial Engineering 43 (1): 375–392.10.1016/S0360-8352(02)00080-3
   Web of Science ®Google Scholar
• Lee, H. , V. Padmanabhan , and S. Whang . 1997. “Information Distortion in a Supply Chain: The Bullwhip Effect.” Management Science 43 (4): 546–558.10.1287/mnsc.43.4.546
   Web of Science ®Google Scholar
• Liberatore, F. , M. P. Scaparra , and M. S. Daskin . 2012. “Hedging against Disruptions with Ripple Effects in Location Analysis.” Omega 40 (1): 21–30.10.1016/j.omega.2011.03.003
   Web of Science ®Google Scholar
• Manuj, I. , and J. T. Mentzer . 2008. “Global Supply Chain Risk Management.” Journal of Business Logistics 29 (1): 133–155.10.1002/jbl.2008.29.issue-1
   Web of Science ®Google Scholar
• Manuj, I. , J. T. Mentzer , and M. R. Bowers . 2009. “Improving the Rigor of Discrete‐Event Simulation in Logistics and Supply Chain Research.” International Journal of Physical Distribution and Logistics Management 39 (3): 172–201.10.1108/09600030910951692
   Web of Science ®Google Scholar
• Mari, S. I. , Y. H. Lee , and M. S. Memon . 2014. “Sustainable and Resilient Supply Chain Network Design under Disruption Risks.” Sustainability 6: 6666–6684.10.3390/su6106666
   Web of Science ®Google Scholar
• Matsuo, H. 2015. “Implications of the Tohoku Earthquake for Toyota’s Coordination Mechanism: Supply Chain Disruption of Automotive Semiconductors.” International Journal of Production Economics 161: 217–227.10.1016/j.ijpe.2014.07.010
   Web of Science ®Google Scholar
• Melnyk, S. E. , D. J. Closs , S. E. Griffis , C. W. Zobel , and J. R. Macdonald . 2014. “Understanding Supply Chain Resilience.” Supply Chain Management Review 18: 34–41.
   Web of Science ®Google Scholar
• Melnyk, S. E. , C. W. Zobel , J. R. Macdonald , and S. E. Griffis . 2014. “Making Sense of Transient Responses in Simulation Studies.” International Journal of Production Research 52 (3): 617–632.10.1080/00207543.2013.803626
   Web of Science ®Google Scholar
• Mizgier, K. 2017. “Global Sensitivity Analysis and Aggregation of Risk in Multi-Product Supply Chain Networks.” International Journal of Production Research 55 (1): 130–144.10.1080/00207543.2016.1198504
   Web of Science ®Google Scholar
• Mosler, H.-J. , K. Schwarz , F. Ammann , and H. Gutscher . 2001. “Computer Simulation as a Method of Further Developing a Theory: Simulating the Elaboration Likelihood Model.” Personality and Social Psychology Review 5 (3): 201–215.10.1207/S15327957PSPR0503_2
   Web of Science ®Google Scholar
• Myerson, J. , L. Green , and M. Warusawitharana . 2001. “Area under the Curve as a Measure of Discounting.” Journal of the Experimental Analysis of Behavior 76 (2): 235–243.10.1901/jeab.2001.76-235
   PubMed Web of Science ®Google Scholar
• Nair, A. , R. Narasimhan , and Y. T. Choi . 2009. “Supply Networks as a Complex Adaptive System: Toward Simulation-Based Theory Building on Evolutionary Decision Making.” Decision Sciences 40 (4): 783–815.10.1111/deci.2009.40.issue-4
   Web of Science ®Google Scholar
• Neufeld, R. W. J. , K. Boksman , D. Vollick , L. George , and J. R. Carter . 2010. “Stochastic Dynamics of Stimulus Encoding in Schizophrenia: Theory, Testing, and Application.” Journal of Mathematical Psychology 51 (1): 90–108.10.1016/j.jmp.2009.04.002
   Web of Science ®Google Scholar
• Pettit, T. J. , K. L. Croxton , and J. Fiksel . 2013. “Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool.” Journal of Business Logistics 34 (1): 46–76.10.1111/jbl.2013.34.issue-1
   Web of Science ®Google Scholar
• Pettit, T. J. , J. Fiksel , and K. L. Croxton . 2010. “Ensuring Supply Chain Resilience: Development of a Conceptual Framework.” Journal of Business Logistics 31 (1): 1–22.10.1002/jbl.2010.31.issue-1
   Web of Science ®Google Scholar
• Pruessner, J. C. , C. Kirschbaum , G. Meinlschmid , and D. H. Hellhammer . 2003. “Two Formulas for Computation of the Area under the Curve Represent Measures of Total Hormone Concentration versus Time-Dependent Change.” Psychoneuroendocrinology 28 (7): 916–931.10.1016/S0306-4530(02)00108-7
   PubMed Web of Science ®Google Scholar
• Punter, A. 2013. “Supply Chain Failures: A Study of the Nature, Causes and Complexity of Supply Chain Disruptions”. AIRMIC Technical Report . London: AIRMIC.
   Google Scholar
• Rangel, D. A. , T. K. de Oliveira , and M. S. Alexandre . 2015. “Supply Chain Risk Classification: Discussion and Proposal.” International Journal of Production Research 53 (22): 6868–6887.10.1080/00207543.2014.910620
   Web of Science ®Google Scholar
• Rao, S. , and T. J. Goldsby . 2009. “Supply Chain Risks: A Review and Typology.” The International Journal of Logistics Management 20 (1): 97–123.10.1108/09574090910954864
   Web of Science ®Google Scholar
• Repenning, N. 2002. “A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation.” Organization Science 13: 109–127.10.1287/orsc.13.2.109.535
   Web of Science ®Google Scholar
• Rice Jr, J. B. , and F. Caniato . 2003. “Building a Secure and Resilient Supply Chain.” Supply Chain Management Review 7 (5): 22–30.
   Google Scholar
• Rose, A. 2007. “Economic Resilience to Natural and Man-Made Disasters: Multidisciplinary Origins and Contextual Dimensions.” Environmental Hazards 7 (4): 383–398.10.1016/j.envhaz.2007.10.001
   Google Scholar
• Schmidt, W. 2015. “Supply Chain Disruptions and Role of Information Asymmetry.” Decision Sciences 46 (2): 465–475.10.1111/deci.12133
   Web of Science ®Google Scholar
• Serrano, A. , and M. den Hengst . 2005. “Modeling the Integration of BP and IT Using Business Process Simulation.” Journal of Enterprise Information Management 18 (5/6): 740–759.10.1108/17410390510628427
   Google Scholar
• Seuring, S. , M. Müller , M. Westhaus , and R. Morana . 2005. “Conducting a Literature Review – The Example of Sustainability in Supply Chains.” In Research Methodologies for Supply Chain Management , edited by H. Kotzab , S. Seuring , M. Müller and G. Reiner , 92–104. Hamburg: Physica-Verlag.
   Google Scholar
• Sheffi, Y. 2005. The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage . Cambridge, MA: The MIT Press.
   Google Scholar
• Skipper, J. B. , and J. B. Hanna . 2009. “Minimizing Supply Chain Disruption Risk through Enhanced Flexibility.” International Journal of Physical Distribution and Logistics Management 39 (5): 404–427.10.1108/09600030910973742
   Web of Science ®Google Scholar
• Sodhi, M. S. , B.-G. Son , and C. S. Tang . 2012. “Researchers’ Perspectives on Supply Chain Risk Management.” Production and Operations Management 21 (1): 1–13.10.1111/poms.2011.21.issue-1
   Web of Science ®Google Scholar
• Stecke, K. E. , and S. Kumar . 2009. “Sources of Supply Chain Disruptions, Factors That Breed Vulnerability, and Mitigating Strategies.” Journal of Marketing Channels 16 (3): 193–226.10.1080/10466690902932551
   Google Scholar
• Sterman, J. D. 1985. “The Growth of Knowledge: Testing a Theory of Scientific Revolutions with a Formal Model.” Technological Forecasting and Social Change 28 (2): 93–122.10.1016/0040-1625(85)90009-5
   Web of Science ®Google Scholar
• Sterman, J. D. 1989. “Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment.” Management Science 35 (3): 321–339.10.1287/mnsc.35.3.321
   Web of Science ®Google Scholar
• Tang, C. S. 2006. “Robust Strategies for Mitigating Supply Chain Disruptions.” International Journal of Logistics Research and Applications 9 (1): 33–45.10.1080/13675560500405584
   Google Scholar
• Tang, O. , and S. N. Musa . 2011. “Identifying Risk Issues and Research Advancements in Supply Chain Risk Management.” International Journal of Production Economics 133: 25–34.10.1016/j.ijpe.2010.06.013
   Web of Science ®Google Scholar
• Van der Zee, D. J. , and J. J. van der Vorst . 2005. “A Modeling Framework for Supply Chain Simulation: Opportunities for Improved Decision Making.” Decision Sciences 36 (1): 65–95.
   Web of Science ®Google Scholar
• Venkateswaran, J. , and Y. J. Son . 2004. “Impact of Modeling Approximations in Supply Chain Analysis: An Experimental Study.” International Journal of Production Research 42 (15): 2971–2992.10.1080/00207540410001688392
   Web of Science ®Google Scholar
• Wagner, S. M. , and C. Bode . 2008. “An Empirical Examination of Supply Chain Performance Along Several Dimensions of Risk.” Journal of Business Logistics 29 (1): 307–326.10.1002/jbl.2008.29.issue-1
   Web of Science ®Google Scholar
• Wakolbinger, T. , and J. M. Cruz . 2011. “Supply Chain Disruption Risk Management through Strategic Information Acquisition and Sharing and Risk-Sharing.” International Journal of Production Research 49 (13): 4063–4084.10.1080/00207543.2010.501550
   Web of Science ®Google Scholar
• Whitin, T. M. 1955. “Inventory Control and Price Theory.” Management Science 2 (1): 61–68.10.1287/mnsc.2.1.61
   Google Scholar
• Yang, Y. , S. Pan , and E. Ballot . 2017. “Mitigating Supply Chain Disruptions through Interconnected Logistics Services in the Physical Internet.” International Journal of Production Research 55 (14): 3970–3983.10.1080/00207543.2016.1223379
   Web of Science ®Google Scholar
• Yu, H. , A. Z. Zeng , and L. Zhao . 2009. “Single or Dual Sourcing: Decision-Making in the Presence of Supply Chain Disruptions.” Omega 37 (4): 788–800.10.1016/j.omega.2008.05.006
   Web of Science ®Google Scholar
• Zobel, C. W. 2011. “Representing Perceived Tradeoffs in Defining Disaster Resilience.” Decision Support Systems 50 (2): 394–403.10.1016/j.dss.2010.10.001
   Web of Science ®Google Scholar
• Zobel, C. W. , and L. Z. Khansa . 2012. “Quantifying Cyberinfrastructure Resilience against Multi-Event Attacks.” Decision Sciences 43 (4): 687–710.10.1111/deci.2012.43.issue-4
   Web of Science ®Google Scholar
• Zobel, C. W. , and L. Z. Khansa . 2014. “Characterizing Multi-Event Disaster Resilience.” Computers and Operations Research 42: 83–94.10.1016/j.cor.2011.09.024
   Web of Science ®Google Scholar