大连理工大学数学科学学院
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Big Data Analytics in Logistics and Supply Chain Management: Certain Investigations for Research and Applications

2018年06月22日 16:18  点击:[]

学术报告

报告题目: Big Data Analytics in Logistics and Supply Chain Management: Certain Investigations for Research and Applications

报告时间:2018625日(周一)10:00-11:00

报告地点:创新园大厦A1101

报告人:  Gang Wang , University of Massachusetts Dartmouth

报告校内联系人:王磊 副教授

报告摘要To assess the extent to which SCA is applied within LSCM, we propose a maturity framework of SCA, based on four capability levels, that is, functional, process-based, collaborative, agile SCA, and sustainable SCA. We highlight the role of SCA in LSCM and denote the use of methodologies and techniques to collect, disseminate, analyze, and use big data driven information. Furthermore, we stress the need for managers to understand BDBA and SCA as strategic assets that should be integrated across business activities to enable integrated enterprise business analytics. Finally, we outline the limitations of our study and future research directions.

报告人简介:Gang Wang,,Assistant Professor, Decision & Information Sciences, Charlton College of Business, University of Massachusetts Dartmouth2003年本科毕业于大连理工大学; 2008年取得大连理工大学博士学位;2012年取得Rutgers University博士学位。主要研究领域为Supply ChainOperations Research

                                      数学科学学院

                                        2018620

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