Skip to main content

Modeling of Business Processes and Crisis Management

  • Reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining
  • 121 Accesses

Synonyms

Mathematical modeling; Simulation modeling

Glossary

Business Model :

A description of the mechanisms by which an organization creates and captures economic value

Business Process :

A collection of activities or tasks that allow an organization to transform inputs into outputs (e.g., products or services)

Mathematical and Simulation Modeling :

The process of describing essential characteristics of a system using mathematical concepts and language

Operations Research :

A discipline concerned with the application of advanced mathematical methods to improve decision-making

System Dynamics :

A discipline concerned with understanding the behavior of complex systems and developing policies that can improve it

Definition

Modeling a business or a managerial process refers to the practice of developing a graphical, mathematical, or simulation model of the key processes in an organization. The main purpose of developing a business model can range from mapping the existing processes to...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,500.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Barbarosoglu G, Arda Y (2004) A two-stage stochastic programming framework for transportation planning in disaster response. J Oper Res Soc 55(1):43–53

    MATH  Google Scholar 

  • Batta R, Mannur NR (1990) Covering-location models for emergency situations that require multiple response units. Manag Sci 36(1):16–23

    MATH  MathSciNet  Google Scholar 

  • Benini AA (1993) Simulation of the effectiveness of protection and assistance for victims of armed conflict (Sepavac): an example from Mali, West Africa. J Conting Crisis Manag 1(4):215–228

    Google Scholar 

  • Cooke DL (2003) A system dynamics analysis of the Westray mine disaster. Syst Dyn Rev 19(2): 139–166

    MathSciNet  Google Scholar 

  • Ford D, Sterman JD (1997) Dynamic modeling of product development processes. Syst Dyn Rev 14:31–68

    Google Scholar 

  • Gonçalves P (2011) Balancing provision of relief and recovery with capacity building in humanitarian operations. Oper Manag Res 4:39–50

    Google Scholar 

  • Gonçalves P, Hines J, Sterman J (2005) The impact of endogenous demand on push-pull production systems. Syst Dyn Rev 21(3):187–216

    Google Scholar 

  • Guthrie S, Manivannan S (1992) A knowledge-based assignment methodology for personal identification in mass disaster. Inf Decis Technol 18(5): 309–322

    Google Scholar 

  • Homer J, Hirsch G (2006) Opportunities and demands in public health systems. Am J Public Health 96(3): 452–458

    Google Scholar 

  • Leung MF, Santos JR, Haimes YY (2003) Risk modeling, assessment, and management of lahar flow threat. Risk Anal 23(6):1323–1335

    Google Scholar 

  • Lyneis J, Cooper K, Els S (2001) Strategic management of complex projects: a case study using system dynamics. Syst Dyn Rev 17(3):237–260

    Google Scholar 

  • Mete HO, Zabinsky ZB (2010) Stochastic optimization of medical supply location and distribution in disaster management. Int J Prod Econ 126(1):76–84

    Google Scholar 

  • Morecroft JD (1985) Rationality in the analysis of behavioral simulation models. Manag Sci 31(7): 900–916

    Google Scholar 

  • Moxnes E (1998) Overexploitation of renewable resources: the role of misperceptions. J Econ Behav Organ 37:107–127

    Google Scholar 

  • Paich M, Sterman J (1993) Boom, bust, and failures to learn in experimental markets. Manag Sci 39: 1439–1458

    Google Scholar 

  • Peizhuang W, Xihui L, Sanchez E (1986) Set-valued statistics and its application to earthquake engineering. Fuzzy Sets Syst 18(3):347–356

    MATH  Google Scholar 

  • Psaraftis HN, Tharakan GG, Ceder A (1986) Optimal response to oil spills: the strategic decision case. Oper Res 34(2):203–217

    Google Scholar 

  • Rudolph JW, Repenning NP (2002) Disaster dynamics: understanding the role of quantity in organizational collapse. Adm Sci Q 47(1):1–30

    Google Scholar 

  • Salmerón J, Apte A (2010) Stochastic optimization for natural disaster asset prepositioning. Prod Oper Manag 19(5):561–574

    Google Scholar 

  • Sherali HD, Carter TB, Hobeika AG (1991) A location allocation model and algorithm for evacuation planning under hurricane flood conditions. Transp Res Part B—Methodol 25(6):439–452

    Google Scholar 

  • Sterman JD (1989) Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manag Sci 35:321–339

    Google Scholar 

  • Suzuki E, Miyata M, Hongo S (1984) Statistical study of the danger of flood-disasters caused by meteorological factors. Nat Disaster Sci 6(2):27–41

    Google Scholar 

Recommended Reading

  • Belardo S, Harrald JR, Wallace WA, Ward J (1984) A partial covering approach to siting response resources for major maritime oil spills. Manag Sci 30(10): 1184–1196

    Google Scholar 

  • Obradovic D, Kordic M (1986) Studying a disastrous situation before it actually happens. Water Supply 5(3/4):ss4.17–ss14.20

    Google Scholar 

  • Repenning NP (2001) Understanding fire fighting in new product development. J Prod Innov Manag 18:285–300

    Google Scholar 

  • Sheffi Y, Mahmassani H, Powell WB (1982) A transportation network evacuation model. Transp Res Part A—Policy Pract 16A(3):209–218

    Google Scholar 

  • Sterman JD (2000) Business dynamics: systems thinking and modeling for a complex world. Irwin-McGraw Hill, Chicago

    Google Scholar 

  • Viswanath K, Peeta S (2003) Multicommodity maximal covering network design problem for planning critical routes for earthquake response. Transp Res Rec 1857:1–10

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Gonçalves, P. (2014). Modeling of Business Processes and Crisis Management. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_275

Download citation

Publish with us

Policies and ethics