Simulation

Sumit Kunnumkal ()
Additional contact information
Sumit Kunnumkal: Indian School of Business

Chapter Chapter 10 in Essentials of Business Analytics, 2019, pp 305-336 from Springer

Abstract: Abstract The goal of this chapter is to provide an understanding of how simulation can be an effective business analytics technique for informed decision making. Our focus will be on applications and to understand the steps in building a simulation model and interpreting the results of the model; the theoretical background can be found in the reference textbooks described at the end of the chapter. Simulation is a practical approach to decision making under uncertainty in different situations. For example: (1) We have an analytical model and we would like to compare its output against a simulation of the system. (2) We do not have an analytical model for the entire system but understand the various parts of the system and their dynamics well enough to model them. In this case, simulation is useful in putting together the various well-understood parts to examine the results. In all these cases, the underlying uncertainty is described, the model developed in a systematic way to model the decision variables, when necessary describe the dynamics of the system, and use simulation to capture values of the relevant outcomes. This chapter sets out the steps necessary to do all the above in a systematic manner.

Keywords: Monte Carlo simulation; Uncertainty modeling; Probability; Random variables; Statistical sampling (search for similar items in EconPapers)
Date: 2019
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:isochp:978-3-319-68837-4_10

Ordering information: This item can be ordered from
http://www.springer.com/9783319688374

DOI: 10.1007/978-3-319-68837-4_10

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().