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Operations research mainly includes: planning, network structure, queuing theory, decision theory, and storage theory.
In logistics, I feel that there are 1Examples of general problem solving in planning (linear programming, nonlinear programming, target programming) A logistics company is ready to attack the development business in a certain province, the experienced managers are limited, the funds are limited, the development points that can be occupied are limited, and other constraints allow an optimal allocation method to make the company's prospects the best.
2. The same problem in planning is solved in a different way, the former is solved by simplex, and the latter is solved by diagrams.
There are six merchants, four sellers, their respective production capacity and sales capacity is different, **merchants and sellers are also different, so that the most economical mode of transportation can be obtained, and there are different production and sales and other issues that need to be added to the assumption.
3.In integer programming, there are examples such as the Hungarian solution.
The products that can be supplied by n ** merchants are different and ** are different according to this to choose how to distribute the products**.
4.Dynamic programming examples.
The sea ship has a load capacity of 100 tons, and there are 5 customers with 200 tons of cargo The volume, weight and freight of the cargo are different Ask how to make the freight the highest The latter theory can be used Not one by one redundant The most important thing in reality is the collection and verification of data and the transformation of problems I hope it will be useful to you.
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Dispatching vehicles is an application of operations research, and a deadline for the arrival time can also allow you to reasonably dispatch vehicles.
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Summary. Operations research is widely used in the logistics industry, such as the traveling salesman problem in the field of logistics express delivery, that is, the problem of route selection from a point to traverse the delivery point that needs to be passed, and finally return to the starting point; Another example is the optimization of the delivery route of the takeaway brother, where it is necessary to pick up the food in multiple places and then deliver it to each consumer in a centralized manner, all of which are to select the best one from the exponential paths under the conditions of satisfying constraints such as no speeding and no retrograde.
In addition, the application of operations research in the field of logistics also involves inventory control, material transportation, warehouse location and other issues.
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Operations research is widely used in the logistics industry, such as the travel salesman problem in the field of logistics express delivery, that is, the problem of route selection from a point to traverse the delivery point that needs to be passed, and finally return to the starting point; Another example is the optimization of the delivery route of the takeaway brother, which needs to go to multiple places to pick up the food and then deliver it to each consumer in a centralized manner, all of which are to select the best one from the exponential path, and the difference is to meet the constraints such as no speeding, no retrograde, etc. In addition to this reputation, the application of operations research in the field of logistics also involves inventory control, material transportation, warehouse location and other issues.
I hope mine can help you
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The difference between the operation method and the Vogel method on the table: the calculation is different, and the meaning is different.
1. Different calculations: select the row or column where the value coefficient with the least cost is located, if it still exists, then choose any one, and the calculation result is the same.
Second, the meaning is different: calculate the difference between the minimum freight and the second small freight for each row and column, write it at the lower end and the end, select the largest from the difference, and select the smallest from the relevant row or column, distribute it, and then cross out the relevant row or column. And so on, the initial optimal solution is calculated.
Table-based operation method.
It refers to solving linear programming using a list method.
Calculation of the transportation model in the problem. It is a method of linear programming, and its essence is the simplex method.
Therefore, it is also called the simple shape front dress method of transportation problems.
When some linear programming problems are difficult to solve intuitively by using the graph operation method, the elements can be listed as the initial scheme, and then the test number is used to verify the scheme, otherwise it is necessary to use the closed loop method, the potential method and other methods to adjust until the satisfactory results are obtained. This method of solving the list is called the on-table method.
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It should be that there must be an optimal solution to the problem of production and marketing balance, because although the transportation problem has m+n constraints (m, n are the number of production areas and the number of sales areas, respectively.
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It refers to the calculation method of solving the transportation model in the linear programming question by using the list method. It is a method of linear programming, and its essence is the simplex method, so it is also called the simplex method of transportation problems.
When some linear programming problems are difficult to solve intuitively by using the operation method on the graph, you can take the column of each element as the initial scheme, and then use the test number He Minfan to verify the scheme, otherwise it is necessary to use the closed loop method, potential method and other methods to adjust until the satisfactory results are obtained. This method of solving the list is called the on-table method.
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1.If the objective function is to find the profit orange shirt run maximum, the initial solution of the vogel method to calculate the difference between the row and the column is the same as the objective function to find the minimum total freight, but the largest element in the row or column where the difference is the largest is selected. 2 Simple transformation, the mesh-round cavity is to change the sign of the coefficients in the objective function, which is the same as the maximization problem.
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The one with the lowest unit freight rate in the line where the maximum penalty is located. Equivalent to the case where the column difference is largest (as shown in the example).
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A department has 3 factories (origins) that produce similar products, and the products produced are produced by 4 sales points (sales places)**, the production volume of each factory, the sales volume of each point of sale and the unit freight rate from each factory to each point of sale are shown in the following table.
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