Laboratory for Industry 4.0 Smart Manufacturing Systems

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

About Us

The Laboratory for Industry 4.0 Smart Manufacturing Systems (LISMS) is New Zealand’s first Industry 4.0 Learning Factory. Recognized as the successor to the three earlier Industrial Revolutions, Industry 4.0 represents a smart manufacturing paradigm for the Factories of the Future. Industry 4.0 is ushering in a new era of industrial production whereby technologies such as Industrial Internet, Cyber-physical Systems, cloud computing and analytics, and AI and machine learning are deployed and integrated into production facilities and throughout the operations.

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

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
  • Educating future engineers with a high readiness level in technologies for industry
  • Encouraging collaborations between industry and researchers
  • Showcasing and implementing the research works in 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

Senior Lecturer

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

Dr. Jan Polzer

Senior Lecturer

  • 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. Xinfeng Ye

Dr. Xinfeng Ye

Senior Lecturer

  • Web Services
  • Internet-based Computing

Honorary Academics

Prof. Wei Sun

Prof. Wei Sun

Dalian University of Technology

  • Product Development and R&D Strategy
Dr. Linzhen Zhou

Dr. Linzhen Zhou

Yancheng Institute of Technology

  • Product Design
Dr. Matthieu Rauch

Dr. Matthieu Rauch

Ecole Centrale de Nantes, France

  • Addtive Manufacturing
Dr. Mehdi Shahbazpour

Dr. Mehdi Shahbazpour

IMS Projects, NZ

  • Product Development
  • R&D Strategy
Dr. Ray Zhong

Dr. Ray Zhong

The University of Hong Kong

  • Internet of Things
  • Big Data Analytics
Dr. Rongli Gai

Dr. Rongli Gai

Shenyang Institue of Computation

  • 5-Axis CNC machining
Dr. Xiaofang Huang

Dr. Xiaofang Huang

China Jiliang University

  • Product design and innovation
Dr. Yongkui Liu

Dr. Yongkui Liu

Xidian University, China

  • Cloud Manufacturing
  • Resource Scheduling
Dr. Zhe Yuan

Dr. Zhe Yuan

Shenyang Jianzhu University

  • Intelligent stone cutting

Postgraduates

Akhil Ramesh

Akhil Ramesh

PhD Candidate

  • Digital Transformation and Industry 4.0
  • Industrial Artificial Intelligence
  • Manufacturing systems
  • Industrial policy making
Anton Averyanov

Anton Averyanov

PhD Candidate

  • Autonomous Sorting System
Bilal Shabbir Chohan

Bilal Shabbir Chohan

PhD Candidate

  • Industry 4.0
  • Manufacturing Execution Systems
  • Micro-services
David Adrian Tomzik

David Adrian Tomzik

PhD Candidate

  • IIoT
  • Control Engineering
  • Web Services
Emmanuel Flores

Emmanuel Flores

PhD Candidate

  • Operator 4.0
  • Human-Machine Interaction/Cooperation
  • Future of work and workforce competences
Huiyue Huang

Huiyue Huang

PhD Candidate

  • Digital Twin
  • Smart Manufacturing
Jiaxu Niu

Jiaxu Niu

PhD Candidate

  • Product Assembly
  • Augmented Reality
Saahil Chand

Saahil Chand

PhD Candidate

  • Human-robot collaboration
  • Human-centric manufacturing
Tang Ji

Tang Ji

PhD Candidate

  • Cognitive Digital Twin
  • Smart Manufacturing
Wanqing Xia

Wanqing Xia

PhD Candidate

  • Human-robot collaboration
Yuan Lin

Yuan Lin

PhD Candidate

  • Embedded Systems
  • Computer Vision
  • Human-Machine Interaction
Yuk Lun Simon Chan

Yuk Lun Simon Chan

PhD Candidate

  • Addtive Manufacturing
Zexuan Zhu

Zexuan Zhu

PhD Candidate

  • Augmented Reality
  • Cyber-Physical System
  • Digital Twin
Zhaojun Qin

Zhaojun Qin

PhD Candidate

  • IIoT
  • Smart Manufacturing
Raghvendra Panchal

Raghvendra Panchal

Master Student

  • Industry 4.0
  • Design Optimization
  • Digitalization

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 

  • Dr. Aini Zuhra Abdul Kadir: “A Novel Approach Towards High-Fidelity Machining Simulation”
  • Dr. Chao Liu: “Cyber-physical Machining Systems”
  • Dr. Daniel Stevenson: “Development of novel hearing technologies”
  • Dr. Firman Ridwan: “STEP-NC Enabled Machine Condition Monitoring”
  • Dr. Hongqiang Derek Wang: “New Control Strategy for CNC Machines via STEP-NC”
  • Dr. Jenny Xu: “Dual-Resource Constrain Scheduling Systems”
  • Dr. Jingchao Jiang: “Support Optimization for Additive Manufacturing”
  • Dr. Mick (Liming) Ou: “Assembly Sequence and Resource Planning”, TBR
  • Dr. Mohamad Bin Minhat: “Development of a STEP-NC Controller”
  • Dr. Pai Zheng: “Customer-centric Design for Mass Personalization in OKP Companies”
  • Dr. Pauls Davis:”Innovation Ecosystem and New Zealand Firms”
  • Dr. Reza Hamzeh:”Developing an Integrated Framework for Technology Selection and Successful Implementation of INDUSTRY 4.0″
  • Dr. Shiqiang Yu: “Product Configurator for Cloud Manufacturing”
  • Dr. Shohin Aheleroff: “Internet of Things Personalized Products in Industry 4.0”
  • Dr. Tao Peng: “A Novel Approach Towards Energy-efficient Machining”
  • Dr. Xi Wang: “Development of an Intelligent and Interoperable Manufacturing Platform”
  • Dr. Yaoyao Fiona Zhao: “Intelligent Machining with on-line Inspection”
  • Dr. Yuanbin Wang: “A Cloud-based Design for Additive Manufacturing Platform”
  • Dr. Yuqian Lu: “Development of a hybrid cloud manufacturing system”
  • Dr. Zhiqian Sang: “STEP-NC Enabled Intelligent Machining”
  • Rivai Wardhani: “Model-based Design and Manufacturing based on STEP AP242”
  • Khamdi Mubarok: “Cloud Manufacturing for Modern Industry – an Industrie 4.0 Perspective”

 

 

Master of Engineering

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

Our sponsors

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