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

Activity scheduling and resource allocation with uncertainties and learning in activities

Hits:

Indexed by:Journal Papers

Date of Publication:2019-07-08

Journal:INDUSTRIAL MANAGEMENT & DATA SYSTEMS

Included Journals:SCIE、EI

Volume:119

Issue:6

Page Number:1289-1320

ISSN No.:0263-5577

Key Words:Critical chain buffers; Evolutionary multi-objective optimization; Learning effect

Abstract:Purpose The purpose of this paper is to develop a model which schedules activities and allocates resources in a resource constrained project management problem. This paper also considers learning rate and uncertainties in the activity durations. Design/methodology/approach An activity schedule with requirements of different resource units is used to calculate the objectives: makespan and resource efficiency. A comparisons between non-dominated sorting genetic algorithm - II (NSGA-II) and non-dominated sorting genetic algorithm - III (NSGA-III) is done to calculate near optimal solutions. Buffers are introduced in the activity schedule to take uncertainty into account and learning rate is used to incorporate the learning effect. Findings The results show that NSGA-III gives better near optimal solutions than NSGA-II for multi-objective problem with different complexities of activity schedule.
   Originality/value This paper takes into account both the learning rate and the uncertainties in the activity duration for a resource constrained project management problem. The uncertainty in both the individual durations of activities and the whole project duration time is taken into consideration. Genetic algorithms were used to solve the problem at hand.

Pre One:基于蚁群神经网络的泄漏特征融合算法研究

Next One:An individual dependent multi-colony artificial bee colony algorithm

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。