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By setting the initial TSLs (maximum stock level) at each distribution center, warehouse, and retailer arbitrarily at 500 tonnes (Step 1), we obtain an optimal production level of each plant and a decision to open or close (deciding the material flow pattern) of certain warehouses and distribution centers to satisfy the given demand from all four retailers.
The optimal production level of plants and the best storage locations in the network can be determined by the analytical model, as they are not directly affected by uncertain factors, but are more influenced by the decisions suggested by the simulation-based optimization model, in which the stochastic data have been taken into consideration.
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Tables 5, 6 show the optimal production levels and the storage locations as determined by the analytical model, respectively.
Taken together these data show that the AcrAB-TolC pump is involved in tolerance towards toxic compounds such as styrene and important in reaching optimal production levels for a given biosynthetic pathway.
We verify the conditions under which the firm has different optimal safety production levels.
At the operational level, optimal production profiles and flows of material between various components within the supply chain are determined.
When the capacity cost is very low, the optimal capacity is determined by its financial budget; when the capacity cost is very high, the firm keeps its optimal capacity at its safety production level; and when the cost is in between of the two thresholds, the optimal capacity is determined by the capacity cost, the number of market periods and the unit cost of additional production.
One of the advantages of DEA analysis is that it allows prefectures with low environmental efficiency to use the production frontier to estimate optimal input, production, and emissions levels under optimal production conditions.
First, as carbon trading price increases, the optimal production quantities (the optimal abatement levels) firstly decrease (increase) and then remain constant.
Once the initial iteration for number of vehicles produced is predicted, further possible improvements within the imposed cost constraints, in terms of reduction in time loss and cycle time can be carried out until process reached saturation level, which gives optimal production.
Conversely, if a production level needs to be accomplished, the optimal resource configuration that yields the production level for the lowest cost can also be computed (see Fig. 16).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com