Naslov
Sensitivity Analysis as a Managerial Decision Making Tool

Autori
Briš, Martina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Interdisciplinary Management Research III / Barković, Dražen ; Runzheimer, Bodo - Osijek : Pforzheim : Faculty of Economics in Osijek, Josip Juraj Strossmayer University in Osijek, Hochschule Pforzheim, University of Applied Sciences, 2007, 287-296

ISBN
978-953-253-026-1

Skup
Interdisciplinary Management Research

Mjesto i datum
Poreč, Hrvatska, 25.09.2006. - 27.09.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
feasibility range; linear programming; Lindo; POM; optimum solution; optimum range; sensitivity analysis

Sažetak
Decision-making is an integral part of operations management. It may me useful to a decision-maker to have some indication of how sensitive an alternative choice might be to the changes in one or more of those values. Unfortunately, it is not possible to explore all the possible combinations of all the variables in a typical problem. In spite of this, there are some elements that a decision-maker can use to assess the sensitivity of assumption probabilities. One of the tools useful for the analysis in some decision-making problems is sensitivity analysis. It provides a range of feasibility over which the choice of alternative remains the same. Successful decision-making consists of several steps, the first and most important being carefully defining the problem. Given that linear problems can be extensive and complex, they are solved by using sophisticated computer methods. This paper will present software solutions available for personal computers (Lindo, POM). For a manager taking the decision, however, a solution model is only part of the answer. Sensitivity analysis offers a better understanding of the problem, different effects of limitations and “ what if“ questions. The insights obtained are frequently much more valuable that a specific numerical answer. One of the advantages of linear programming lies in the fact that it provides rich information on sensitivity analysis as a direct part of the solution.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

Napomena
Indexed in: EBSCOhost, RePEc, EconPapers, Socionet

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