Paper Info
Title
Identification and estimation of factors influencing logistic process safety in a network context with the use of grey system theory
Abstract
An article presents identification methodologies and estimation of factors which influence a logistic process safety in a network context through the use of a network thinking methodology. A proposed version of a network thinking methodology for the use of a safety analysis of logistic processes realisation, unlike an originalProbst and Urlich concept, only uses its modified stages. A significant element which differentiates a solution presented by the authors is the use of one of grey systems theory's methods so called Grey Relational Analysis in order to quantitatively formulate a common experts' opinion concerning an impact mutual force of identified factors. Knowledge of a correlation force between factors is a basis to classifying factors into groups which are used for taking appropriate and optimal managing actions. A solution presented in the article will be tested with reference to real data for a buying decision process in a company of a chemical branch using a computer support that simplifies computation processes.
Year
DOI
Venue
2012
10.1007/978-3-642-28487-8_49
ACIIDS (1)
Keywords
Field
DocType
correlation force,simplifies computation process,identification methodology,network context,buying decision process,safety analysis,grey system theory,grey relational analysis,logistic process safety,impact mutual force,urlich concept
Computer support,Data mining,Systems theory,Process safety,Computer science,Grey relational analysis,Realisation,Artificial intelligence,Buying decision process,Machine learning,Computation,Gray (horse)
Conference
Volume
ISSN
Citations 
7196
0302-9743
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Rafal Mierzwiak121.60
Karolina Werner210.96
Pawel Pawlewski36721.03