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Books > Business & Economics > Economics > Development economics
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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R2,171
Discovery Miles 21 710
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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty (Paperback, Softcover reprint of the original 1st ed. 2015)
Expected to ship within 10 - 15 working days
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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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