王旭坪

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:Deputy Dean,School of Business,Dalian University of Technology

Gender:Male

Alma Mater:DALIAN UNIVERSITY OF TECHNOLOGY

Degree:Doctoral Degree

School/Department:Faculty of Management and Economics

Discipline:Management Science and Engineering

E-Mail:wxp@dlut.edu.cn


Paper Publications

Robust Aircraft Maintenance Routing Problem Using a Turn-Around Time Reduction Approach

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Indexed by:期刊论文

Date of Publication:2021-01-10

Journal:IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

Volume:50

Issue:12

Page Number:4919-4932

ISSN No.:2168-2216

Key Words:Maintenance engineering; Delays; Aircraft; Atmospheric modeling; Aircraft manufacture; Robustness; Routing; Aircraft maintenance routing problem (AMRP); airline operations; robustness; turn-around time (TRT)

Abstract:This article discusses the problem of how to efficiently build aircraft routes that better withstand potential disruptions, such as bad weather, technical problems, and passenger delays. This optimization problem is called robust aircraft maintenance routing problem (RAMRP). There are three approaches in the literature to deal with the RAMRP, such as the buffer time allocation approach (BT), the departure retiming approach (DR), and the scenario-based stochastic programming approach (SSP). Most of the previous approaches have some shortcomings in terms of fleet productivity and delay absorption. In addition, the majority of the RAMRP models overlook maintenance regulations, which result in the generation of infeasible routes. In this article, RAMRP is investigated with two main objectives. First, a novel robustness approach, called the turn-around time reduction approach (TRTR), that avoids the shortcomings of the existing approaches, is incorporated into RAMRP. The second objective is to develop an RAMRP model that simultaneously considers all maintenance regulations. The effectiveness of the proposed RAMRP model along with the TRTR is demonstrated using real data from a major Middle Eastern airline. The results reveal an improved performance of the TRTR over the BT by about 3.43%-12.20% and 2.5%-13.58%, while handling the expected propagated delay costs and fleet productivity, respectively. In addition, the results show that the TRTR is better than the SSP by about 2.07%-18.82%, while minimizing the propagated delay costs. Therefore, the TRTR has a great potential to be implemented in the actual industry.

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Profile

    王旭坪,工学博士、教授、博士生导师。


    主要研究领域包括应急管理、电子商务、物流管理和应急管理等。


     主要学术与社会兼职:中国物流学会常务理事;中国物流学会特约研究员;中国软科学研究会常务理事;中国系统工程学会物流系统工程专业委员会副主任委员;中国(双法)应急管理专业委员会副主任委员;中国应急管理学会社区安全专委会副主任委员;中国运筹学会行为运筹与管理分会常务理事;中国管理科学与工程学会大数据与商务分析研究会理事;中国系统工程学会智能制造系统工程分会委员;科技部专家库入库专家;辽宁省管理科学与工程类教指委秘书长;第一批辽宁省安全生产专家;辽宁省商务厅电子商务首批入库专家;盘锦市委市政府决策咨询委员会委员。


     近些年,主持国家自然科学基金项目7 项(其中重大研究计划培育项目1项),参与科技部项目、国家自然科学基金重点项目、重大项目多项。主持省部级科研项目、副省级科研项目以及地方政府与企业委托项目多项。在国内外著名期刊Omega、International Journal of Production Research、International Journal of Production Economics、Information Sciences、Expert Systems with Applications、IEEE Internet of things Journal、管理科学学报、系统工程理论与实践、中国管理科学、管理工程学报等发表论文100余篇,申请国家发明专利5项。