Ting Qu

ORCID: 0000-0003-1012-2856
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About
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Research Areas
  • Flexible and Reconfigurable Manufacturing Systems
  • Digital Transformation in Industry
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Manufacturing Process and Optimization
  • Sustainable Supply Chain Management
  • Petri Nets in System Modeling
  • Assembly Line Balancing Optimization
  • Supply Chain and Inventory Management
  • Collaboration in agile enterprises
  • Blockchain Technology Applications and Security
  • Optimization and Packing Problems
  • Vehicle Routing Optimization Methods
  • Formal Methods in Verification
  • Service and Product Innovation
  • Quality and Supply Management
  • RFID technology advancements
  • Product Development and Customization
  • Recycling and Waste Management Techniques
  • Big Data and Business Intelligence
  • Real-Time Systems Scheduling
  • Process Optimization and Integration
  • IoT and Edge/Fog Computing
  • Urban and Freight Transport Logistics
  • Industrial Technology and Control Systems

Jinan University
2016-2025

Zhuhai People's Hospital
2016-2025

Zhuhai Institute of Advanced Technology
2019-2024

University of California, Berkeley
2024

Huawei Technologies (China)
2024

State Key Laboratory of Automotive Simulation and Control
2023

Second Affiliated Hospital of Chengdu University of Traditional Chinese
2023

Jilin University
2017-2023

Jinan University
2018-2022

Nanchang Hangkong University
2022

As a major challenge and opportunity for traditional manufacturing, intelligent manufacturing is facing the needs of sustainable development in future. Sustainability assessment undoubtedly plays pivotal role future manufacturing. Aiming at this, paper presents digital twin driven information architecture sustainability oriented dynamic evolution under whole life cycle based on classic mapping system. The method segment includes indicator system building, value determination, importance...

10.1109/access.2020.3026541 article EN cc-by IEEE Access 2020-01-01

Automotive vehicle manufacturers have been at the forefront of employing radio frequency identification (RFID) technology for their manufacturing logistics management. They benefited from RFID-enabled shop-floor visibility and traceability, which in turn facilitated implementation advanced strategies such as just-in-time lean mass customisation. Initial successes attracted attention interests small- medium-sized enterprises (SMEs) involved automotive part component down vertical. However,...

10.1080/0951192x.2011.562546 article EN International Journal of Computer Integrated Manufacturing 2011-07-28

A production logistics system is often subject to high operational dynamics due large working areas, frequent resource interactions, long operation periods and intensive human involvement. Researchers have applied design the structure of statistically robust systems which accommodate common dynamics. Yet this approach begins lose its feasibility because anticipation statistics are becoming more difficult in ever competitive markets adjustments typically incur costs. In response, study...

10.1080/00207543.2016.1173738 article EN International Journal of Production Research 2016-04-25

In a radio frequency identification (RFID)-enabled real-time manufacturing environment, different decision makers are often confronted with the inconsistency between highly synchronised information flow and unstandardised decision-making procedures, especially under conflicting objectives dynamic situations. This study proposes an RFID-enabled advanced production planning scheduling shell (RAPShell, in short) to coordinate across processes. RAPShell has several key innovations. First, it...

10.1080/0951192x.2012.749532 article EN International Journal of Computer Integrated Manufacturing 2013-01-15

Increasingly, circular economy (CE) has been adopted globally to operationalize supply chain sustainability. The development of industry 4.0 technologies provides a new opportunity improve the effectiveness and efficiency adoption CE, in particular, from waste management perspective. More recently, scholars acknowledge need for more studies on CE-driven sustainability aspects chains. This research aims fill literature void make contribution perspective smart chains using 4.0-based CE...

10.1080/09537287.2021.1980909 article EN Production Planning & Control 2021-12-06

Radio Frequency Identification (RFID) technologies provide automatic and accurate object data capturing capability enable real-time visibility traceability. Potential benefits have been widely reported for improving manufacturing shop-floor management. However, reports on how such potentials come true in real-life daily operations are very limited. As a result, skeptics overwhelm enthusiasm. This paper contributes to the re-vitalization of RFID efforts industries by presenting case study...

10.1007/s10845-010-0476-2 article EN cc-by-nc Journal of Intelligent Manufacturing 2010-11-03

Radio frequency identification (RFID) technology enables real-time traceability, visibility and interoperability of manufacturing resources thus improves the performance shop-floor planning, execution control. However, a big challenge faced by manufacturers now is to deal with various RFID/Auto-ID technologies which are necessary in different production situations yet entailing development technologies. This paper presents an innovative all-in-one Smart Gateway for capturing data from...

10.1080/00207543.2010.518743 article EN International Journal of Production Research 2010-12-17

Recent developments in wireless technologies have created opportunities for developing reconfigurable manufacturing systems with real-time traceability, visibility and interoperability shop-floor planning, execution control. This paper proposes to use agent-based workflow management as a mechanism facilitate interactions among RFID-enabled resources. A production process is modelled network. Its nodes correspond the work (process), its edges flows of control data. Nodes are represented...

10.1080/09511920903440354 article EN International Journal of Computer Integrated Manufacturing 2010-01-24
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