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Based on credibility theory, this paper presents a new raw materials allocation (RMA) model in which the demands of products and the prices of surplus products are supposed to fuzzy variables, the involved restrictions mainly include the inventory of each raw material and the production capacity of company.
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One was chronic shortage, which continued to stimulate hoarding and compelled the continuation of material allocation.
The results from solving the planning model give optimal raw material allocation to different plants.
The overall model exhibits a block angular structure that is decomposed by raw material allocation.
Along with the minimum fresh and waste targets, the material allocation target is another key feature of the PCA.
The Pareto-frontier is elaborated to show how the material allocation, component configuration, and operation parameters are influenced by the objective functions.
A useful method for the generation of a suitable diagram (modified material allocation diagram) is developed by considering the species combination of the subproducts decomposed from the product and the outflowing streams.
The stand-alone originally developed graphical user interface of the AGENT code design environment allows the user to view and verify input data by displaying the geometry and material allocation.
Along with geometric optimization of the heat generating area in each step, the tree network of high conductive links is optimized with respect to high conductive material allocation in the heat generating area as well.
It is found that the configuration constructed by manipulating the modified material allocation diagram is suitable for the initial one, that the ratios can be determined by solving the material balance equations when the degrees are known, and that material balance equations become linear by adopting the relative flow rates allocated from the outflowing streams to the products as the variables.
Thus, it can provide opportunities for forecasting accidents (e.g., hail, typhoons, lightning), foreseeing changes in primary energy and environmental conditions, and allow more time for response planning, material allocation, and the arranging of repair forces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com