索赔
发表于 2025-3-30 10:21:52
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follicle
发表于 2025-3-30 13:44:17
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insurgent
发表于 2025-3-30 16:59:34
An EOQ Model with Carbon Constraints Without Loss of Generality with Uncertain Cost and Uncertain CThe computational procedure for the defined EOQ model is carried out by using the signed-distance method and expected value technique. Numerical examples are also given to exemplify the proposed model.
凹槽
发表于 2025-3-30 22:42:35
Semi-analytical Approach to Solve the System of Nonlinear Differential Equations,d to get approximate analytical solution. In the present situation, we adopt the Laplace transformation technique embodies with Adomian decomposition method (ADM). Validation of the present result is also obtained with earlier published work and conformity of the solution achieved.
改变立场
发表于 2025-3-31 01:42:35
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大雨
发表于 2025-3-31 08:12:28
A Multi-item Deteriorating Inventory Model Under Stock Level-Dependent, Time-Varying, and Price-Senr a known initial inventory. The main objective of this model is to determine the selling price and time length until the inventory reaches zero for each item. To demonstrate our model, one numerical example has been given which is followed by a sensitivity analysis of the major parameters involved in this model.
EXCEL
发表于 2025-3-31 12:58:05
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ERUPT
发表于 2025-3-31 15:25:25
Study on Analytical Solutions of K-dV Equation, Burgers Equation, and Schamel K-dV Equation with Didifferent analytical methods such as tanh method, sech method, sine-Gordon equation method, . expansion method, and tanh–coth methods. The . method has different types that are used to solved Schamel equation and Schamel–K-dV equation.
MAIM
发表于 2025-3-31 17:40:28
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needle
发表于 2025-3-31 22:00:28
A Multi-item Deteriorating Inventory Model Under Stock Level-Dependent, Time-Varying, and Price-Seneteriorating items where the demand function is depending on nonlinear selling price, nonlinear time, and inventory stock. The model is developed under a known initial inventory. The main objective of this model is to determine the selling price and time length until the inventory reaches zero for e