Ethanol inventory replenishment strategy based on multi-objective particle swarm optimization algorithm

A multi-objective particle swarm and optimization algorithm technology, applied in computing, instruments, data processing applications, etc., can solve problems such as high dependence on people, waste of resources, and inability to control the quantity of replenishment well, so as to improve inventory turnover Efficiency, reducing the total cost of inventory, and promoting the effect of inventory optimization control

Active Publication Date: 2019-07-23
BEIJING UNIV OF TECH
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  • 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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  • Ethanol inventory replenishment strategy based on multi-objective particle swarm optimization algorithm
  • Ethanol inventory replenishment strategy based on multi-objective particle swarm optimization algorithm
  • Ethanol inventory replenishment strategy based on multi-objective particle swarm optimization algorithm

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Experimental program
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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 provides an ethanol inventory replenishment strategy based on a multi-objective particle swarm optimization algorithm, which aims to solve the problem that the ethanol inventory is difficult to optimize and determine, realize the reasonable planning of the ethanol inventory replenishment quantity and reduce the total cost of the ethanol inventory. The ethanol inventory replenishmentstrategy comprises the following steps of establishing a storage cost model and a purchase cost model to obtain a relation between cost and replenishment batches, and starting a replenishment strategyinventory margin and delivery time; optimizing a storage cost model and a purchase cost model by using a multi-objective particle swarm optimization algorithm; obtaining a fixed replenishment batch during each replenishment in a single period, and starting the optimal set values of the inventory allowance and the delivery time of the replenishment strategy, so that the ethanol inventory is kept at a reasonable level, the inventory optimization control is promoted, and the stable operation of the industrial process is ensured.

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 Applications(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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