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Title:
Stochastic linear optimization approach to optimizing production processes
Authors:
ID
Kavkler, Ivan
(
Author
)
ID
Kavkler, Alenka
(
Author
)
Files:
http://www.ejournalnet.com/economy/volume-1/economy-1-7.swf
Language:
English
Work type:
Unknown
Typology:
1.01 - Original Scientific Article
Organization:
EPF - Faculty of Business and Economics
Abstract:
This paper discusses an application of the stochastic linear optimization model (SLOM) to ferrosilicon production at a chemical factory in Slovenia. The stochastic linear optimization is based on factor analysis, multiple regression and linear programming. The stochastic explanatory variables in the linear objective function are replaced with a set of deterministic variables, namely the conditional means of the explanatory variables given the common factors. As the obtained objective function is deterministic, it can be optimized using the linear programming techniques. The modelling procedure is first explained on a case of the "Minesweeper" computer game.
Year of publishing:
2006
PID:
20.500.12556/DKUM-25459
UDC:
519.8
ISSN on article:
Y505-480X
COBISS.SI-ID:
9002012
NUK URN:
URN:SI:UM:DK:NB4BJQIL
Publication date in DKUM:
30.05.2012
Views:
1337
Downloads:
63
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Journal of international research publications
Publisher:
Science Invest Ltd
COBISS.SI-ID:
8998684
Secondary language
Language:
English
Keywords:
optimizacija
,
linearno optimiranje
,
kemična industrija
,
Slovenija
,
faktorska analiza
,
linearno programiranje
,
linearna multipla regresija
,
modeli
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