Supply Chain Risk Management: Bullwhip Effect and Ripple Effect
Dmitry Ivanov
Additional contact information
Dmitry Ivanov: Berlin School of Economics and Law
Chapter Chapter 2 in Structural Dynamics and Resilience in Supply Chain Risk Management, 2018, pp 19-44 from Springer
Abstract:
Abstract Uncertainty is a system property characterizing the incompleteness of our knowledge about the system and the conditions of its development. Uncertainty is a polysemic term (poly – many, sema – a sign). Historically, the first terms related to uncertainty were accident, probability and possibility, which we relate to Aristotle. Up to the twentieth century, the mathematical basics of uncertainty factor description were founded on probability–frequency interpretation and are related to Pascal, Ferma, Bernoulli and Laplace. Modern probability theory is based on the research of Kolmogorov, who introduced an axiomatic definition of probability as a measure related to a system of axioms of a so-called probability space.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)
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:978-3-319-69305-7_2
Ordering information: This item can be ordered from
http://www.springer.com/9783319693057
DOI: 10.1007/978-3-319-69305-7_2
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 ().