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

Modeling and simulating the bullwhip effect using Matlab/Simulink (ID : 3-048)

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Indexed by:会议论文

Date of Publication:2006-01-01

Included Journals:CPCI-S、CPCI-SSH

Page Number:1206-1210

Key Words:bullwhip effect; information sharing; noise bandwidth; Matlab/Simulink simulation

Abstract:We consider a series of companies in a supply chain, each of which orders from its immediate upstream members. Usually, the retailer's order do not coincide with the actual retail sales. The bullwhip effect, which can have serious impacts on the performance of the supply chain, refers to the phenomenon where orders to supplier tend to have larger variance than sales to the buyer(i.e. demand distortion), and the distortion propagates upstream in an amplified form(i.e. demand. amplification). Many previous studies have identified and summarized five different causes of the bullwhip effect, e.g. demand forecasting, supply shortages, lead times, batch ordering, and price variations, of which the demand forecasts appeared to be a key driver of the bullwhip effect. Information sharing policy, which is widely used in practice, can greatly reduce the information distortion among different members in the supply chain. Here, based on a linear multi-stage supply chain, simulations have been performed using Matlab/Simulink. Through the methods of Noise bandwidth and simulation, comparisons have been made between a traditional supply chain and an information enriched supply chain. The effect of the parameters of logistics' lead time and the exponential smoothing forecast on the bullwhip effect have been analyzed. Finally, some corresponding counter-measures for reducing the bullwhip effect have been brought forward.

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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。