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A scenario decomposition approach for stochastic production..:

Zanjani, M Kazemi ; Nourelfath, M ; Ait-Kadi, D
The Journal of the Operational Research Society. 64 (2013) 1 - p. 48-59 , 2013

Link: https://www.jstor.org/stable/23355371

RT Journal
T1 <Title>A scenario decomposition approach for stochastic production planning in sawmills</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-23355371&Exemplar=1&LAN=DE
				
A1 Zanjani, M Kazemi
A1 Nourelfath, M
A1 Ait-Kadi, D
PB Palgrave Macmillan
YR 2013
SN 0160-5682
SN 1476-9360
K1 Business
K1 Industry
K1 Industrial sectors
K1 Manufacturing industries
K1 Milling industry
K1 Mills
K1 Sawmills
K1 Mathematics
K1 Pure mathematics
K1 Probability theory
K1 Stochastic models
K1 Biological sciences
K1 Agriculture
K1 Agricultural products
K1 Plant products
K1 Forest products
K1 Timber
K1 Applied sciences
K1 Computer science
K1 Algorithms
K1 Engineering
K1 Industrial engineering
K1 Manufacturing engineering
K1 Raw materials
K1 Philosophy
K1 Metaphysics
K1 Etiology
K1 Determinism
K1 Discrete mathematics
K1 Number theory
K1 Numbers
K1 Real numbers
K1 Rational numbers
K1 Integers
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Decision theory
K1 Operations research
K1 Computer programming
K1 Mathematical programming
K1 Nonlinear programming
K1 Objective functions
K1 Technology
K1 Tools
K1 Cutting tools
K1 Saws
JF The Journal of the Operational Research Society
VO 64
IS 1
SP 48
OP 59
LK http://dx.doi.org/https://www.jstor.org/stable/23355371
DO https://www.jstor.org/stable/23355371
SF ELIB - SuUB Bremen

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