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A Replenishment Strategy of Ethanol Stock Based on Multi-objective Particle Swarm Optimization Algorithm

A multi-objective particle swarm and optimization algorithm technology, applied in computing, data processing applications, forecasting, etc., can solve the problems of poor control of replenishment quantity, waste of resources, and large dependence on people, and shorten logistics and distribution time, avoiding out-of-stock losses, and reducing the effects of overstocking risks

Active Publication Date: 2021-06-25
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Nowadays, chemicals are replenished based on the experience of administrators, which is very dependent on people, and the quantity of replenishment cannot be well controlled, which is easy to cause waste of resources

Method used

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  • A Replenishment Strategy of Ethanol Stock Based on Multi-objective Particle Swarm Optimization Algorithm
  • A Replenishment Strategy of Ethanol Stock Based on Multi-objective Particle Swarm Optimization Algorithm
  • A Replenishment Strategy of Ethanol Stock Based on Multi-objective Particle Swarm Optimization Algorithm

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0031] (1) Select the variables related to ethanol storage cost and procurement cost as follows: replenishment batch Q(t), starting replenishment strategy inventory balance R(t), delivery time L(t);

[0032] (2) Establish ethanol storage cost and purchase cost models:

[0033]

[0034]

[0035]

[0036] Among them, f 1 (t) is the ethanol storage cost model for the tth period, including management cost, accident risk cost, and deterioration loss cost; f 2 (t) is the ethanol procurement cost model in the tth cycle, including ordering cost, transportation cost, and emergency delivery contingency cost; taking one year as a cycle, Q(t) is the fixed cost of each replenishment in the tth cycle Replenishment batches; R(t) is the inventory balance of each replenishment strategy in the t-th cycle; L(t) is the delivery time of each t-th cycle; m is the expected value of the daily ethanol demand, m= 5 bottles; M is the expected value of the total ethanol demand in a single cycl...

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Abstract

The invention proposes an ethanol inventory replenishment strategy based on a multi-objective particle swarm optimization algorithm, aiming at the problem that the ethanol inventory is difficult to be optimized and determined, so as to realize the reasonable planning of the ethanol inventory replenishment and reduce the total cost of the ethanol inventory. This ethanol inventory replenishment strategy obtains the relationship between cost and replenishment batch, inventory balance and delivery time by establishing a warehousing cost model and a procurement cost model, and uses a multi-objective particle swarm optimization algorithm to optimize the warehousing cost model and procurement. The cost model can obtain the fixed replenishment batch for each replenishment in a single cycle, start the replenishment strategy inventory balance and the optimal set value of delivery time, so as to keep the ethanol inventory at a reasonable level and promote inventory optimization Control to ensure the stable operation of industrial processes.

Description

technical field [0001] The present invention utilizes the multi-objective particle swarm optimization algorithm to realize the reasonable planning of ethanol inventory replenishment quantity, and obtains the fixed replenishment batch size for each replenishment in a single cycle, the optimal setting of inventory balance and delivery time for starting the replenishment strategy value, the ethanol inventory replenishment strategy based on the multi-objective particle swarm optimization algorithm can not only reduce the total inventory cost, but also improve the inventory turnover efficiency. Applying the multi-objective particle swarm optimization algorithm to the ethanol inventory replenishment strategy, reasonably planning the ethanol inventory replenishment volume, and promoting inventory optimization control is an important part of industrial process operation and belongs to the field of process control. Background technique [0002] The inventory replenishment strategy ha...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/087
Inventor 韩红桂郐晓丹张璐甄琪
Owner BEIJING UNIV OF TECH
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