Simulation Processes in Business and Economics: Fundamentals of the Monte Carlo Simulation
Alexander Wachholz () and
Richard Malzew ()
Additional contact information
Alexander Wachholz: Bonn-Rhein-Sieg University of Applied Sciences, Department of Management Sciences
Richard Malzew: Bonn-Rhein-Sieg University of Applied Sciences, Department of Management Sciences
A chapter in Operations Research and Management, 2026, pp 157-165 from Springer
Abstract:
Abstract Simulations, especially Monte Carlo simulations, are a common tool in operations research. They enable the study of complex scenarios, evaluation of cost-effectiveness, risk mitigation, and efficient testing of improbable situations. Monte Carlo simulations facilitate decision-making by creating realistic experimental models for various operations research purposes.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-032-08078-3_8
Ordering information: This item can be ordered from
http://www.springer.com/9783032080783
DOI: 10.1007/978-3-032-08078-3_8
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().