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

Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology

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Indexed by:期刊论文

Date of Publication:2015-12-01

Journal:RESOURCES POLICY

Included Journals:EI、SSCI、SCIE、Scopus

Volume:46

Page Number:86-100

ISSN No.:0301-4207

Key Words:Green supply chain practices; Program evaluation; Rough set theory; Mining industry; Information theory

Abstract:Environmental issues from the extractive industries and especially mining are prevalent and maleficent. An effective way to manage these pernicious environmental problems is through organizational practices that include the broader supply chain. Green supply chain practices and their role in mining industry strategy and operations have not been comprehensively addressed. To address this gap in the literature, and building upon the literature in general green supply chain management and environmental decision tools, we introduce a comprehensive framework for green supply chain practices in the mining industry. The framework is categorized into six areas of practice, with detailed practices described and summarized. The green supply chain practices framework is useful for practical managerial decision making purposes such as programmatic evaluation. The framework may also be useful as a theoretical construct for empirical research on green supply chain practices in the mining industry. To exemplify the practical utility of the framework we introduce a multiple criteria evaluation of green supply programs using a novel multiple criteria approach that integrates rough set theory elements and fuzzy TOPSIS. Using illustrative data we provide an example of how the methodology can be used with the green supply chain practices framework for the mining industry. This paper sets the foundation for significant future research in green supply chain practices in the mining industry. (C) 2014 Elsevier Ltd. All rights reserved.

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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。