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Spare Parts Transportation Optimization Considering Supportability Based on Uncertainty Theory
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Journal:Symmetry-Basel

Key Words:uncertainty theory; uncertain chance-constrained programming; equipment support system; vehicle rout

Abstract:Ensuring a consistent, continuous, and efficient spare parts supply is a critical issue that must be addressed in the equipment support system. In order to effectively improve the coverage level and handle the common asymmetry information present in practical applications, the spare parts transport vehicle routing and scheduling model was further optimized. We integrated supportability requirements and uncertainty theory into the model to better describe the actual uncertain demand of each site. We selected three critical supportability indicators as constraints, redefined them with uncertain

Co-author:顾佳颖,黄思雨,刘维,郭霖瀚

First Author:杨懿

Indexed by:Development research

Correspondence Author:文美林,秦勇

Document Code:000802357200001

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:14

Issue:5

ISSN No.:20738994

Translation or Not:no

CN No.:null

Date of Publication:2022-04-27

Included Journals:SCI

Links to published journals:https://www-mdpi-com-s.vpn.buaa.edu.cn:8118/2073-8994/14/5/891/htm

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Personal information

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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