Operations 9 min read

Intelligent Decision-Making in Supply Chains: Conference Overview and Speaker Sessions

The forum gathers leading industry experts and scholars to discuss intelligent decision technologies across manufacturing, retail, energy, and pharmaceutical supply chains, presenting case studies, deep reinforcement learning applications, and optimization methods that drive agile, data‑driven supply chain transformation.

DataFunSummit
DataFunSummit
DataFunSummit
Intelligent Decision-Making in Supply Chains: Conference Overview and Speaker Sessions

The smart transformation of supply chains has become a key industry trend, with intelligent decision technologies providing powerful momentum for upgrades. This forum invites five industry leaders and academic experts to focus on critical topics in industrial, retail, energy, and pharmaceutical supply chains.

Speaker: Huang Xiang (Vice President, Industrial & Intelligent Manufacturing, Shanshu Technology) – will analyze "Intelligent Decision Scenarios for Large‑Scale Manufacturing Enterprises," sharing the latest developments and challenges of applying decision intelligence in enterprises.

Speaker: Su Guangjun (Vice President, Supply Chain Division, Shanshu Technology) – will present "Data‑Intelligence Empowerment: Building an Agile Intelligent Collaborative Supply Chain," covering the construction of a smart supply chain from 0 to 1 and summarizing transformation experiences from 1 to N.

Speaker: Dong Fenglian (Senior Technical Expert, Planning Institute, China National Petroleum Corporation) – will discuss "Research and Application of Production‑Operation Optimization Technology in the Petroleum Industry Chain," illustrating how operations research improves decision‑making, integrates production plans, and optimizes the entire industry chain.

Speaker: Wang Xuewu (Data R&D Director, Beitong Data Group) – will explore "Intelligent Supply Chain Applications in the Pharmaceutical Sector," analyzing characteristics, opportunities, challenges, and presenting knowledge‑graph and machine‑learning case studies.

Speaker: Xin Linwei (Associate Professor, Booth School of Business, University of Chicago) – will introduce "Deep Reinforcement Learning in Tmall Supermarket Supply Chain Management," detailing the reinforcement‑learning based replenishment algorithm, its impact during the 2021 lockdown, and practical takeaways.

Each session includes speaker biographies highlighting extensive research publications in top journals such as Management Science, Operations Research, and Production and Operations Management, as well as real‑world consulting experiences with companies like JD.com, Alibaba, and Walmart.

Audience benefits include insights into the latest industry developments, challenges of applying decision intelligence, practical algorithms for data‑driven supply chain decisions, and case studies of successful smart‑supply‑chain transformations.

artificial intelligencesupply chainoperations researchdeep reinforcement learningdecision optimizationindustrial engineering
DataFunSummit
Written by

DataFunSummit

Official account of the DataFun community, dedicated to sharing big data and AI industry summit news and speaker talks, with regular downloadable resource packs.

0 followers
Reader feedback

How this landed with the community

login Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.