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Location and inventory optimization model of spare parts warehouse based on uncertainty theory
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Journal:1st International Conference on Mechanical System Dynamics

Abstract:In equipment integrated logistics support, support activities and support resources have a vital impact on the availability of equipment system. Spare parts warehouse location and inventory strategy will directly affect spare parts supply, and finally affect the system operation. Therefore, this paper establishes an optimization model of spare parts warehouse location considering inventory strategy. In order to deal with the epistemic uncertainty of spare parts demand, the uncertainty theory is introduced. The model aims at reducing the comprehensive support cost, adds the supportability parameters to the model constraints, and optimizes the inventory control and spare parts warehouse location as a whole. The genetic algorithm is used to solve the model, and the optimal location scheme and inventory strategy meeting the supportability constraints are obtained. Based on the proposed model and calculation results, the accuracy of equipment support can be improved and the support cost can be reduced as much as possible on the premise of ensuring equipment availability.

Co-author:刘维,曾挺婷,黄思雨

First Author:杨懿

Indexed by:Applied Research

Correspondence Author:文美林,Qin Yong

First-Level Discipline:Control Science and Engineering

Document Type:Conference

Translation or Not:no

Date of Publication:2022-08-12

Included Journals:EI

Links to published journals:https://ieeexplore.ieee.org/abstract/document/9997259

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

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Date of Employment:2014-01-20

School/Department:可靠性与系统工程学院

Business Address:为民楼334

Gender:Female

Contact Information:82314879

Status:Employed

Academic Titles:教授

Other Post:国防重点实验室主任助理

Alma Mater:南京理工大学

Discipline:Control Science and Engineering

Honors and Titles:

军队科技进步奖二等奖  2009

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