Laboratory for Industry 4.0 Smart Manufacturing Systems

Forming collaborations between industry and researchers to embrace Industry 4.0 for future manufacturing.

The concept of Industry 4.0 is conceived as the fourth Industrial Revolution in 2011. Recognised as the successor to the three earlier Industrial Revolutions, Industry 4.0 represents a smart manufacturing paradigm for the Factories of the Future. Value chains and value networks will be digitally connected, efficiently organized and managed, and optimized in real time. This is enabled by the seamless integration of everything in, and around a manufacturing operation (suppliers, plants, distributors, and even the products) in the core concept of Cyber-Physical Systems (CPS). Industry 4.0 is ushering in a new era of industrial production, in which the Internet of Things (IoT), Internet of Services (IoS), Internet of Data, and Internet of People can be realised.

Vision

Industry 4.0 holds the promise of increased flexibility in manufacturing, better quality and improved productivity, which enables New Zealand companies to take on the challenges of producing more individualized products with a short lead-time to market. The resultant higher quality products and services ultimately enhance companies’ competitiveness.

Mission and objectives

The LISMS is established to showcase some key technologies of Industry 4.0, as well as to demonstrate how New Zealand businesses benefit from implementing these technologies. The laboratory also facilitates interactions and collaborations between industry partners and researchers. We aim to focus on:

  • Assisting local industries in better understanding Industry 4.0
  • Encouraging collaborations between industry and researchers
  • Showcasing and implementing the research works at local industries

Our sponsors

Staff

Prof. Xun Xu

Prof. Xun Xu

Professor/Director

  • Cloud manufacturing
  • Cyber-Physical Production Systems
  • Digital Twins
  • Intelligent and Interoperable manufacturing systems
  • STEP-compliant CAD/CAPP/CAM (STEP-NC)
Dr. Yuqian Lu

Dr. Yuqian Lu

Lecturer

  • Industrial Artificial Intelligence
  • Autonomous Robotics
  • Industrial Big Data Analytics
  • IoT-enabled smart manufacturing
  • Cloud Manufacturing
Dr. Jan Polzer

Dr. Jan Polzer

Professional Teaching Fellow

  • Digital Twins
  • Industrial Projects (Process Optimisation)
  • Cross-Process Optimisation
  • Advanced Control Theory
Ehsan Amiri Tehranizadeh

Ehsan Amiri Tehranizadeh

Industry 4.0 Technologist

Associate Staff

Prof. Zoran Salcic

Prof. Zoran Salcic

Professor

  • Embedded System
  • Internet of Things
Dr. Kevin I-Kai Wang

Dr. Kevin I-Kai Wang

Senior Lecturer

  • Machine Learning
  • Embedded System
  • Human-Machine Interaction
Dr. Xuyun Zhang

Dr. Xuyun Zhang

Lecturer

  • Embedded System
Dr. Xinfeng Ye

Dr. Xinfeng Ye

Senior Lecturer

  • Web Services
  • Internet-based Computing

Honorary Academics

Dr. Ray Zhong

Dr. Ray Zhong

The University of Hong Kong

  • Internet of Things
  • Big Data Analytics
Dr. Mehdi Shahbazpour

Dr. Mehdi Shahbazpour

Fletcher Building, NZ

  • Product Development
  • R&D Strategy
Dr. Yongkui Liu

Dr. Yongkui Liu

Xidian University, China

  • Cloud Manufacturing
  • Resource Scheduling
Dr. Matthieu Rauch

Dr. Matthieu Rauch

Ecole Centrale de Nantes, France

  • Addtive Manufacturing

Postgraduates

Shohin Aheleroff

Shohin Aheleroff

PhD Candidate

  • Cyber-Physical Systems (CPS)
  • Internet of Things (IoT)
  • Industry 4.0
Yuk Lun Simon Chan

Yuk Lun Simon Chan

PhD Candidate

  • Addtive Manufacturing
Pauls Davis

Pauls Davis

PhD Candidate

  • Innovation Management
Emmanuel Flores

Emmanuel Flores

PhD Candidate

  • Operator 4.0
  • Human-Machine Interaction/Cooperation
  • Future of work and workforce competences
Reza Hamzeh

Reza Hamzeh

PhD Candidate

  • Virtual & Augmented Reality
  • Simulation-Based Optimization
  • Production and Process Design
Huiyue Huang

Huiyue Huang

PhD Candidate

  • Digital Twin
  • Smart Manufacturing
Yuan Lin

Yuan Lin

PhD Candidate

  • Embedded Systems
  • Computer Vision
  • Human-Machine Interaction
Khamdi Mubarok

Khamdi Mubarok

PhD Candidate

  • Cloud Manufacturing
  • Reconfigurable Manufacturing
  • Sustainable Manufacturing
Raghvendra Panchal

Raghvendra Panchal

Master Student

  • Industry 4.0
  • Design Optimization
  • Digitalization
Akhil Ramesh

Akhil Ramesh

PhD Candidate

  • Digital Transformation
  • Industrial Artificial Intelligence
  • Industry 4.0
  • Digital Manufacturing & Lean Systems
Ziwei Su

Ziwei Su

Master Student

  • Machine Monitoring
  • Cloud Manufacturing
  • Resource Virtualization
David Adrian Tomzik

David Adrian Tomzik

PhD Candidate

  • IIoT
  • Control Engineering
  • Web Services
Rivai Wardhani

Rivai Wardhani

PhD Candidate

  • Integration System – Design and Machining
  • Model Based Definition/ Manufacturing
  • STEP / STEP-NC
Zhaojun Qin

Zhaojun Qin

PhD Candidate

  • IIoT
  • Smart Manufacturing
Zexuan Zhu

Zexuan Zhu

PhD Candidate

  • Augmented Reality
  • Cyber-Physical System
  • Digital Twin

Visiting Scholars & Students

Dr. Sunxin Wang

Dr. Sunxin Wang

Visiting Scholar

  • Smart Manufacturing
  • Job Shop Scheduling
  • CAD/CAM
Dr. Zhe Yuan

Dr. Zhe Yuan

Visiting Scholar

  • Industrial IoT
  • Optimization
Wei Fan

Wei Fan

Visiting Student

  • Cyber-Physical System
  • Digital Twin
  • Intelligent Manufacturing
Xiaolin Xi

Xiaolin Xi

Visiting Student

  • Thin-walled parts
  • Tool-path Optimazation
  • Deformation Control

Alumni

PhD Students 

  • Dr. Jingchao Jiang: “Support Optimization for Additive Manufacturing”
  • Dr. Chao Liu: “Cyber-physical Machining Systems”
  • Dr. Yuanbin Wang: “A Cloud-based Design for Additive Manufacturing Platform”
  • Dr. Shiqiang Yu: “Product Configurator for Cloud Manufacturing”
  • Dr. Pai Zheng: “Customer-centric Design for Mass Personalization in OKP Companies”
  • Dr. Yuqian Lu: “Development of a hybrid cloud manufacturing system”
  • Dr. Zhiqian Sang: “STEP-NC Enabled Intelligent Machining”
  • Dr. Mick (Liming) Ou: “Assembly Sequence and Resource Planning”, TBR
  • Dr. Tao Peng: “A Novel Approach Towards Energy-efficient Machining”
  • Dr. Daniel Stevenson: “Development of novel hearing technologies”
  • Dr. Jenny Xu: “Dual-Resource Constrain Scheduling Systems”
  • Dr. Aini Zuhra Abdul Kadir: “A Novel Approach Towards High-Fidelity Machining Simulation”
  • Dr. Xi Wang: “Development of an Intelligent and Interoperable Manufacturing Platform”
  • Dr. Firman Ridwan: “STEP-NC Enabled Machine Condition Monitoring”
  • Dr. Mohamad Bin Minhat: “Development of a STEP-NC Controller”
  • Dr. Yaoyao Fiona Zhao: “Intelligent Machining with on-line Inspection”
  • Dr. Hongqiang Derek Wang: “New Control Strategy for CNC Machines via STEP-NC”

 

 

Master of Engineering

  • Akhil Ramesh: “Digital Thread enabled Manufacturing Automation for Mass Personalization”
  • Qiankun Sun: “3D printer as a cyber-physical system”
  • Reuben Schuitemaker: “Data Tracebility”
  • Hrishikesh Vengayil: “Internet of Things-enabled Real-time visibility in Industry 4.0”
  • Milinda Jayasekera: “Assembly validation via 3-D Motion Control and VR Technologies”
  • Robert Schaefer: “Developing practical methods for measuring mechanical performance of 3D printed parts”
  • Maximilian Schiller: “Smart visualisation for cyber-physical machine tools”
  • Pruthvi Raj Veerla: “Improving the Interoperability of CAD/CAM Data”
  • Simon Yuk-Lun Chan: “Optimisation in high-speed machining of hardened steel using Minimum Quantity Lubricant (MQL)”
  • Qun Shao: “Industrial Ontology for Cloud Manufacturing”
  • Yin Zhang: “CAM Data Interoperability”
  • Pingzeshi He: “Adaptive STEP-NC Interpreter for Feature-Based Machining on an EMCO Mill”
  • Bins Jo Pappachan: “STEP-NC Feature Based EMCO Mill”
  • Horace Guo: “Computer Aided Quality Function Deployment For Rapid Development Of Customised Products”
  • Smit Shah (Hon): “Web-based QFD System”
  • M.P.Lankeshwara (Hon): “STEP-NC Enabled GibbsCAM”
  • Salah Habeeb (Hon): “STEP-compliant CNC Lathe”
  • Fiona Zhao (Hon): “Close-Loop Manufacturing”
  • Michael Segetin (Hon): “Flax Fibre Extraction and Fibre-reinforced Composites”
  • Yanyan Wang: “Development of a Manufacturing Database for STEP-compliant Collaborative CAPP System”
  • Liqing Chen  (Hon): “Decision Support System for Product Lifecycle Costing”
  • Jin Mao (Hon): “STEP Compliant Collaborative Product Development”
  • Qiuliang He: “Integrating Design with Manufacturing via STEP-NC”
  • Mahmood Ghadiri: “CAD-Driven Reverse Engineering Using STEP-NC”
  • Hao Shen (Hon): “Computerising Scanned Engineering Documents”
  • Michael Jou, “Development of a Design-for-Environment System”
  • Dongbin Zheng: “Development of a Smart Enterprise”
  • Tony Di-Jen Liu: “Development of a Web-enabled PDM System”
  • Yutian Brian Bai (Hon): “Computerising Scanned Engineering Documents”

Our sponsors

  • We use RoboDK for simulation and offline programming of industrial robots.