About this research seminar series

The objective of this research seminar series is to provide a platform to connect global academics, researchers, and practitioners in industrial and systems engineering, management science, and engineering (covering a broad range of application domains, such as construction, finance, healthcare, logistics and transportation, manufacturing, and supply chain). Distinguished scholars and industrial leaders will share their significant and innovative visions, insights, and ideas with the participants and nurture the younger generation of researchers who will lead our future.

This series of seminars is free and open to the public.

Next Seminar

Stefan Minner

Full Professor for Logistics and Supply Chain Management,

School of Management,

Technical University of Munich 

Editor-in-Chief, International Journal of Production Economics

Date and time: Nov 4 (Wed), 2020, 22:00 HKT (GMT+8)  [Local time]



Zoom link: https://hku.zoom.us/j/93965533071       Zoom meeting ID: 939 6553 3071

Seminar title: 

A Data-Driven Approach to Strategic Inventory Placement in Multi-Echelon Networks


Supply chain networks heavily depend on reliable internal material flow for upholding process stability and cost-efficiency. Buffer stock needs to be strategically placed along intra-company and inter-company networks in order to guarantee service requirements despite demand uncertainty. The placement and sizing of safety stock poses a challenging, non-linear stochastic optimization problem. State-of-the art solution approaches require assumptions and estimation of demand distributions. We integrate recent advances in data-analytics and machine learning with inventory control theory to propose a data-driven optimization approach for safety stock planning in multi-echelon inventory networks based on the guaranteed service model. Errors from distributional assumptions and parameter estimation are reduced via a non-parametric approach based on actual historical demand data. Our model considers general (acyclic) multi-echelon networks, where each stage operates under a periodic review base stock policy. The model simultaneously determines safety stock allocation and sizing by setting base stocks for all stages under inventory holding cost minimization with respect to a service constraint. We use non-stockout probability and  fill-rate service level constraints. The optimization problem is formulated as a mixed-integer linear program and solved with established mathematical programming solvers. In numerical experiments, we validate the applicability and solution quality of our approach on different network structures and case examples.

Speaker bio: 

Stefan Minner is a Full Professor for Logistics and Supply Chain Management at the School of Management, Technical University of Munich (TUM). His research interests are in global supply chain design, transportation optimization and inventory management and the work was published in many peer reviewed journals, including Management Science, Manufacturing & Service Operations Management, Operations Research, Production and Operations Management, Transportation Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operations Research and OR Spectrum. He serves on several editorial boards of logistics and operations journals. Currently, Stefan Minner is the Editor-in-Chief of the International Journal of Production Economics. Stefan Minner is a fellow of the International Society for Inventory Research (ISIR) and is currently vice-chairman of the scientific advisory board of the German Logistics Association (BVL), and a member of the Research Committee of the European Logistics Association (ELA).


Upcoming Speakers

(in the order of seminar date and alphabetical order of surname)

Lihui Wang

Professor and Chair of

Sustainable Manufacturing,

Department of Production Engineering,

KTH Royal Institute of Technology

International Journal of Manufacturing Research


Robotics and Computer-Integrated Manufacturing



Journal of Manufacturing Systems

Date and time:

Nov 18 (Wed), 2020, 22:00 HKT (GMT+8)  [Local time]

Seminar title:

Brain Robotics for Human-Robot Collaboration


Ren C. Luo

Irving T. Ho Chair Professor and Life Distinguished Professor,

Department of Electrical Engineering, 

National Taiwan University


IEEE Transactions on Industrial Informatics

Date and time:

Dec 02 (Wed), 2020, 20:00 HKT (GMT+8)  [Local time]

Seminar title:

AIoT and Robotics Driving Paradigm Shift of Intelligent Manufacturing Automation


Alexandre Dolgui

Distinguished Professor
and Head of the Automation, Production, and Computer
Sciences Department,

IMT Atlantique

International Journal of Production Research

Seminar title:

Stochastic Programming Approach for Capacitated Disassemly Lotsizing under Dynamic Demand and Random Component Refurbishing Times


Stephen T. Newman

Professor of Innovative Manufacturing Technology,

Department of Mechanical Engineering,

University of Bath


International Journal of Computer Integrated Manufacturing

Seminar title:

Additive Manufacturing of Large Components


Zuo-Jun (Max) Shen

Chancellor's Professor and Department Chair,

Department of Industrial Engineering and Operations Research,

University of California, Berkeley


the Production and Operations Management Society (POMS)

Seminar title:

A Practical End-to-End Inventory Management Model with Deep Learning


Jianjun Shi

The Carolyn J. Stewart Chair and Professor,

H. Milton Stewart School of Industrial and Systems Engineering,

Georgia Institute of Technology


IISE Transactions

Seminar title:

Machine Learning Enabled Quality Improvement in Samrt Manufacturing Systems


Miroslaw J. Skibniewski

Chair Professor,

Department of Civil & Environmental Engineering,

University of Maryland


Automation in Construction

Seminar Title:

New Threats and Opportunities in Construction Industry Supply Chains



Previous Speakers

(in the order of seminar date)

Recorded videos will be available typically in 2 to 4 weeks after the seminar.

Christopher S. Tang

Distinguished Professor of UCLA and
Edward Carter Chaired Professor in Business Administration,

UCLA Anderson School of Management


Manufacturing & Service Operations Management

Seminar title:

Faster Deliveries and Smarter Order Assignments for an On-Demand Meal Delivery Platform



Organizing Committee


International Advisory Committee

George G.Q. Huang, The University of Hong Kong

Stefan Minner, Technical University of Munich
Lihui Wang, KTH Royal Institute of Technology

Christopher S. Tang, University of California, Los Angeles



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For inquiries, please feel free to contact us at saleader@hku.hk

© Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong 2020