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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty (Hardcover, 2015 ed.)
Loot Price: R1,545
Discovery Miles 15 450
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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty (Hardcover, 2015 ed.)
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The subject of this book is supply chain logistics planning
optimization under multiple uncertainties, the key issue in supply
chain management. Focusing on the strategic-alliance three-level
supply chain, the model of supply chain logistics planning was
established in terms of the market prices and the market
requirements as random variables of manufactured goods with random
expected value programming theory, and the hybrid intelligence
algorithm solution model was designed. Aiming at the decentralized
control supply chain, in which the nodes were unlimited expansion,
the chance-constrained stochastic programming model was created in
order to obtain optimal decision-making at a certain confidence
level. In addition, the hybrid intelligence algorithm model was
designed to solve the problem of supply chain logistics planning
with the prices of the raw-materials supply market of the upstream
enterprises and the prices of market demand for products of the
downstream enterprises as random variables in the supply chain
unit. Aimed at the three-stage mixed control supply chain, a
logistics planning model was designed using fuzzy random
programming theory with customer demand as fuzzy random variables
and a hybrid intelligence algorithm solution was created. The
research has significance both in theory and practice. Its
theoretical significance is that the research can complement and
perfect existing supply chain planning in terms of quantification.
Its practical significance is that the results will guide companies
in supply chain logistics planning in the uncertain environment.
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