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
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Indexed by:期刊论文
Date of Publication:2017-05-01
Journal:APPLIED MATHEMATICAL MODELLING
Included Journals:SCIE、EI、Scopus
Volume:45
Page Number:271-284
ISSN No.:0307-904X
Key Words:Warehousing system; Order picking; On-line order batching; Multiple pickers; Rule-based solutions
Abstract:Existing on-line order batching rules, namely fixed time window batching (FTWB) and variable time window batching (VTWB), try to choose the fixed time window in the case of FTWB or the fixed number of orders in the case of VTWB. However, these solutions are not appropriate for the fluctuating order environment. The reasonable assignment of batches to order pickers is also an important issue in order picking systems. Motivated by these issues, we study the problem of integrating on-line order batching and the assignment of the batches, which is called the on-line order batching and sequencing problem with multiple pickers (OOBSPMP). The objective is to minimize the turnover time. To solve the problem, a hybrid rule-based algorithm, referred to FTWB, is proposed in order to form batches and assign them to appropriate pickers under a fluctuating order environment. Three batching situations (off-peak, normal and peak arrival time) and two assigning situations (assigning to one busy picker and assigning to one idle picker) are distinguished. Through a series of experiments, we discover several enlightening findings: (i) the rule-based algorithm demonstrates high effectiveness and efficiency in turnover time with multiple pickers; (ii) the rule-based algorithm leads to an impressive improvement in both saving time and wage costs under different arrival rates, picking devices and time intervals compared with VTWB; (iii) to obtain both good warehouse performance and a reasonable workload distribution, the factors, such as the fixed time window, the average workload per picker and the average idle time per picker are also important issues in analysing the efficiency of order picking systems. (C) 2016 Elsevier Inc. All rights reserved.
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。
