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A mathematical model for optimal supply chain design and planning is presented in this work.
This study investigates the optimal supply chain design for commodity chemicals (BTX, etc).
Tools for modeling the optimal supply planning and efficient demand management of hybrid power systems (HPS) have been well established.
In this manuscript, we analyze in detail a firm's optimal supply chain portfolio as a function of its product portfolio.
Optimal supply chain design is vital to the success of industrial concerns now more than ever before.
We investigate incentive mechanisms for the optimal supply of and demand for international public goods under cost uncertainty.
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Jabil can assess all those factors to proactively determine the optimal supply-chain configuration for any customer.
Optimal supplies of good-quality water are obtained in considering different revenue targets of municipal industrial agricultural competition under a given budget.
Several studies have explored optimal supply-side approaches to electricity access in Kenya [17 19].
The model is formulated as a mixed-integer linear programming (MILP) model in GAMS [ 19] and solved to determine cost-optimal supply chain configurations.
For example, sub-optimal supply of K to plants leads to a characteristic increase in the concentrations of sugars and amino acid that could increase the attractiveness of K-deficient plants for herbivorous insects [ 2, 3].
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