Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Session
Data-driven methods for Supply Chain optimization
Time:
Thursday, 09/Sept/2021:
12:00pm - 2:00pm

Session Chair: Guillaume Massonnet
Session Chair: Alexandre Dolgui
Virtual location: Thursday Room 2

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Presentations
ID: 259 / DMS: 1
Special session: Data-driven methods for Supply Chain optimization
Keywords: Supply chain, Data-driven optimization, Robust optimization

A robust data driven approach to supply planning

Benoit, Loger, Alexandre Dolgui, Fabien Lehuédé, Guillaume Massonnet

IMT Atlantique, France



ID: 177 / DMS: 2
Special session: Data-driven methods for Supply Chain optimization
Keywords: Information Sharing, Game Theory, Asymmetric Information, Literature Review

An Information Sharing Framework for Supply Chain Networks: What, When, and How to Share

Eunji Lee, Stefan Minner

Technical University of Munich, Germany



ID: 342 / DMS: 3
Special session: Data-driven methods for Supply Chain optimization
Keywords: price signaling; social responsibility, information sharing, regulatory inspections

Responsible Manufacturing with Information Disclosure under Regulatory Inspections

Yifan Cao, Bin Shen

Donghua University, China, People's Republic of



ID: 446 / DMS: 4
Special session: Data-driven methods for Supply Chain optimization
Keywords: Supply chain, Visibility, Delphi analysis

Understanding supply chain visibility through experts’ perspective: A Delphi based approach

Tarun Kumar Agrawal1, Ravi Kalaiarasan1, Jan Olhager2, Magnus Wiktorsson1

1Department of Sustainable Production Development, KTH Royal Institute of Technology, Södertälje, Sweden; 2Department of Industrial Management and Logistics, Lund University, Lund, Sweden



ID: 154 / DMS: 5
Special session: Data-driven methods for Supply Chain optimization
Keywords: Newsvendor, Nonparametric Methods, Data-Driven, Inventory Optimization, Systematic Literature Review.

Data-Driven Solutions for the Newsvendor Problem: A Systematic Literature Review

Thais de Castro Moraes1, Xue-Ming Yuan2

1National University of Singapore, Singapore; 2A*STAR - Agency for Science, Technology and Research



 
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