Modeling-based Risk Analysis of a Small Enterprise

Kristine Bendza, Jelena Pecherska


The paper discusses risk management and analysis of a small enterprise. A particular enterprise-oriented analysis approach is developed and performed using such research methods as descriptive modeling, business process modeling, ABC analysis, risk identification and classification, qualitative and quantitative risk analysis. The customer service level is used as a performance indicator of quality. The paper introduces the statistical approach to the analysis of the dependence of quality from an inventory management strategy under uncertainty of demand in different scenarios. The analysis of simulation results shows how a certain approach can be applied to reveal sensitive spots and gaps in the business process.


Business process modeling; risk analysis; risk management; small business.

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European Commission for Enterprise and Industry, “SME Performance Review: Database for the Annual Report,” 2014. [Online]. Available: analysis/performance-review/index_en.htm. [Accessed: March, 2014].

A. M. Marchetti, Enterprise Risk management Best Practices: From assessment to Ongoing Compliance. Hoboken, New Jersey, USA: John Wiley & Sons, 2011, pp. 7–43.

C. Verbano and K. Venturini, “Managing Risks in SMEs: A Literature Review and Research Agenda,” Journal of Technology Management and Innovation, vol. 8, no. 3, 2013, pp. 187–189.

M. Abkowitz, D. Shimko and F. Fabozzi, Approaches to Enterprise Risk Managemen, Huntingdon, United Kingdom: Bloomsbury Information Ltd., 2010, pp. 3–66.

B.M Ayyub, Risk Analysis in Engineering and Economics. USA: Chapman & Hall/CRC Press, 2003, 570 p.

C.A. Wilhelmsen and L.T. Ostrom, Risk Assessment: Tools, Techniques and Their Applications. Somerset, NJ, USA: John Wiley & Sons, 2012, 392 p.

J. J. Hampton, Fundamentals of Enterprise Risk Management: How Top Companies Assess Risk, Manage Exposure and Seize Opportunity. Saranac Lake, New York, USA: AMACOM Books, 2009, pp. 4–18.

T. Aven, Foundations of Risk Analysis. Hoboken, New Jersey, USA: John Wiley & Sons, 2012, 211 p.

P. Hopkin, Fundamentals of Risk Management: Understanding, evaluating and implementing effective risk management. United Kingdom: Kogan Page Ltd., 2010, pp. 11–61.

J.P. Chavas, Risk Analysis in Theory and Practice. Saint Louis, Missouri, USA: Elsevier Academic Press, 2004, pp. 5–11.

S. Segal, Corporate Value of Enterprise Risk Management: The Next Step in Business Management. Hoboken, New Jersey, USA: John Wiley & Sons, 2011, 404 p.

J. Mun, Modeling risk: Applying Monte Carlo Simulation, Strategic Real Options, Stochastic Forecasting and Portfolio Optimization, Hoboken, New Jersey, USA: John Wiley & Sons, 2010, 986 p.

Risk management – Vocabulary, International Standard ISO Guide 73:2009, 2009, 15 p.

A Practical Guide to Risk Assessment. Price water house Coopers, 2008, pp. 5–32. [Online]. Available: enterprise-risk-management/assets/risk_assessment_guide.pdf. [Accessed: May, 2014].

“3rd Annual Survey on Supply Chain Resilience,” Business Continuity Institute, 2011, pp. 6–11.

B. Bemeleit, J. Schumacher and C. Hans, “Methods of Risk Assessment and their Sustainability in Logistic Environment,” Symposium on Risk Management and Cyber-Informatics: RMCI '05 in the Context of the 9th Multi-conference on Systemics, Cybernetics and Informatics, SCI 2005, 2005, pp. 425–431.

W.G., Shenkir and P.L. Walker, Enterprise Risk Management: Tools and Techniques for Effective Implementation. Montvale, New Jersey, USA: Institute of Management Accountants, 2007, pp. 4–14.

A. Szabo, “Risk Management: An Integrated Approach to Risk Management and Assessment,” Annals of the University of Oradea: Economic Science Series, vol. 21, no. 2, 2012, pp. 776–781.

Understanding Supply Chain Risk: A Self – Assessment Workbook. Bedford, United Kingdom: Cranfield University, Cranfield School of Management, Centre for Logistics and Supply Chain Management, 2003, pp. 16–21.

Risk management – Principles and guidelines, International Standard ISO 31000:2009, 2009, 24 p.

Risk management – Risk assessment techniques, International Standard ISO/IEC 31010:2009, 2009, 176 p.

Y. Yacov, Risk Modeling, Assessment and Management. Hoboken, New Jersey, USA: John Wiley & Sons, 2005, 837p.

A.J. Anderson, Business Risk Management: Models and Analysis. Oxford, United Kingdom: John Wiley & Sons, 2013, 367 p.

D. Ritter, “Home page – certified project management professional D. Ritter,” Oct. 2008. [Online]. Available: 2008/09/17/risk-analysis-techniques/ [Accessed: Apr., 2014].

Website of the independent modeling language for enterprise architecture ‘ArchiMate’, Dec. 2012. [Online]. Available: [Accessed: Apr., 2014].

K. Bendza, “Modeling-based risk analysis of a small enterprise,” M.S. thesis, Riga Technical University, BALTECH Study Centre, Riga, Latvia, 2014.

D. Walters, Logistics: An Introduction to Supply Chain Management. United Kingdom: Palgrave Macmillan, 2003, pp. 274–275.

R. Koch, The 80/20 Principle: The Secret of Achieving More with Less. New York, USA: The Doubleday Publishing Group, 2008, pp. 3–6.

G. Ghiani, G. Laporte and R. Musmanno, Introduction to Logistics Systems Planning and Control. United Kingdom: John Wiley & Sons, 2004, pp. 148–149.

S. Robinson, Simulation: The Practice of Model Development and Use. Chichester, United Kingdom: John Wiley & Sons, 2004, 316 p.

J. Shao, Mathematical Statistics, 2nd Edition. New York, USA:

Springer, 2003, 591 p.

L. W. Winston, Microsoft Office Excel 2007: Data Analysis and Business Modeling. Washington, USA: Microsoft Press, 2007, 601 p.

J. Banks, J. S. Carson and B. L. Nelson, Discrete-Event System Simulation, 4th ed., USA: Prentice-Hall, 2004, 608p.

T. M. Choit, Handbook of EOQ Inventory Problems: Stochastic and Deterministic Models and Applications, New York, USA: Springer, 2014, 281 p.


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