Dr Yi Wang
Profiles

Dr Yi Wang

Lecturer in Knowledge Management & Business Decision Making

Plymouth Business School (Faculty of Arts, Humanities and Business)

Qualifications

2008.04: PhD, Manufacturing Engineering Centre, Cardiff University, Wales, UK. 

2002.06: Msc, Norwegian University of Science and Technology (NTNU), Department of production and quality management, Trondheim, Norway. 
1999.06: Visiting studentship, University of Washington, Seattle, US
2016. 01: Fellow of higher education, HEA, UK 
2014.10: Certificate of Kaledo/Modaris, Lectra LTD, Bradford, UK
2010. 08: PGCHE (Postgraduate certificate for higher education), Nottingham Trent University, Nottingham, UK
 2009, 07: Certificate for Lean Management, Jaguar Landrover, Halewood, Liverpool

Professional membership

2005-2007: Organizer and co-chair, Iproms, Cardiff University

2005 –present: UK Chapter System Dynamics Society

2007- present: Academy of Marketing, UK

2008-present: East MidlandsExcellence Network, UK

2008-present: British Academy ofManagement

2008-present: European Network for Teaching, Research andInnovations

2008 –present: International TechnologyAlliance in Network and Information Science

2012- present: International textile association

Teaching interests

As Program leader:
BSc (Hons) Maritime Business 
BSc (Hons) Maritime Business and Logistics
BSc (Hons) Maritime Business and Maritime Law
BSc (Hons) Maritime Business and Maritime Law with Foundation
BSc (Hons) Maritime Business and Logistics with Foundation
BSc (Hons) Maritime Business and Logistics (Malaysia)

As Module leader:
Undergrad:
International Logistics and Supply Chain Operations
Research skills
Global Enterprise 
Management Decision Making 
Information for Business Decisions 
Post-grad:
Data Analytics and Finance

As Teacher/supervisor
Operations and Project Management
Knowledge Management and Decision Making  
 MBA Project 
 Placement  
 Qualitative method 

Research interests

  • Industry 4.0/Logistics 4.0/Maritime 4.0/Fashion 4.0/ Society 5.0
  • Big data analytics
  • Operations management/research
  • Systems thinking/dynamics
  • Business/data analytics
  • Knowledge management/discovery
  • Supply chain Optimization/management
  • Consumer behavior/Neuro-marketing
  • Product/services design( quality functions management)

Research degrees awarded to supervised students

Phd students:

  • Jindu Chizea - System dynamics modelling to enable supply chain collaboration (Graduated)
  • Nasser Al Hamar Al Kathiri-Expatriate Competencies as Antecedents of Knowledge Transfer and Their Impacts on Staff Localisation
  • Nancy Deraz - Applying deep learning in supply chain management
  • Victor Apiafi-A critical investigation of gender employment Inequalities in the offshore oil and gas industry
  • Ardam Dodokh - Exploring Personal Social Networking Sites Use At Work In Jordan
  • Xiaotian Xie - Investigation the application of Big Data technology in developing port supply chain integration and sustainability
  • Mac-Daniel Uhuka -An evaluation of supply lead time in the Nigerian oil sector: a system dynamic approach (Submitted)
  • Maximilian Selmair - Interoperable Scheduling of Online Large-scale Self-driving Vehicle Systems
  • Amani Binkhatla -Opportunities and Challenges in the Implementation of ERP (Submitted)

Grants & contracts

2016-2021: Horizon 2020 project "Enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems (RUC-APS)", funded by European Commission under Marie Curie RISE scheme, £1.3M 

2018-2020: Partnership with BMW mini, Big data analysis for internal logistics transparency, UK (£1,000)

2018: Bangladesh Government research fund: Big data in Eco-fashion management (£56,000)

2018: Arabic national institute of maritime research: Big data for Maritime Logistics Transparency (£50,000)

2017: Plymouth Eye tracking Research lab, Vision lab, (£3000)

2017: Erasmus /Socrates staff mobility Grant: Big data analysis in Maritime logistics (€ 3,000)

2016: European cooperation inScience and technology, IntelligentRFID in supply chain management (€ 130K)

2016: Knowledge Transferpartnership with TobiiTechnology AB, UK (£100,000)

2015-2017: Erasmus key action1: ICT Game development forBecybersafe (€ 130,000)

2015: Knowledge Transferpartnership with Diamond-engineering,UK (£100,000)

2014:Erasmus /Socrates staff mobility Grant: Advanced RFID research in fashion logistics ( € 1,000)

2013: IndonesianNational fund for foreign education: Eco-fashion management (ca. £56,000, 1 PhD scholarship)

2013: MalaysianGovernment fund: Eco-fashionmanagement (ca. £56,000, 1 PhD scholarship)

2013: BrazilianNational Education Fund: Eco-fashionmanagement (ca. £56,000, 1 PhD scholarship)

2013: EPSRCDoctoral Training Fund: Theprediction of Consumer behaviour through data fusion (ca. £30,000, 1 Phd scholaship)

2013: Erasmus/Socrates staff mobility Grant: "Advanced RFID research in fashion logistics" (€ 1,000)

2012: Erasmus/Socrates staff mobility Grant, “Intelligentfashion supply chain”, (€ 3,000)

2012: Europeancooperation in Science and technology, Green Engineering Camp, “RFID Data Mining for forest supply ChainManagement” (€ 1,500)

2010-2011,JISC/Hefce, “Research managementand administration system”, (£1,0M)

2008- 2010: Erasmus /Socrates education Grant, “IntelligentSupply Chain management” (€ 5,000)

 2008 - 2010: EU Erasmus Life Long Learning programme“European Thematic Network Teaching, Research and Innovation in ComputingEducation /ETN TRICE” €2.0m)

Key publications

Key publications are highlighted

Journals

    1.  T Ghosh, Y Wang, K Martinsen, K Wang(2020) A surrogate-assisted optimization approach for multi-response end milling of aluminum alloy AA3105, The International Journal of Advanced Manufacturing Technology 111 (9). (SCI index, impact factor 2.601)

    2.  J Wu, T Tang, M Chen, Y Wang, K Wang (2020) A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions, Expert Systems with Applications (SCI index, ABS 3*impact factor 5.452)

    3.  Y. Wang, et al, Cognitive maintenance for cutting-edge equipment and manufacturing based on Deep Learning, (2019) Frontiers of Information Technology & Electronic Engineering, ISSN 2095-9184 (SCI index, Impact factor: 0.910).

    4.  Yi Wang et al., (2019) A deep learning approach for abnormal detection based on SAE and LSTM in mechanical equipment, The International Journal of Advanced Manufacturing Technology, (SCI index, Impact factor 3.535)

    5.  Yi wang et al, (2019) The framework and case study of Cognitive maintenance in Indus-try 4.0, Frontiers of Information Technology & Electronic Engineering, ISSN 2095-9184 (print); ISSN 2095-9230 (online), 2019 (SCI index, impact factor 1.033)

    6.  Wang, Y et al’, (2019). An improved biogeography/complex algorithm based on decomposition for many-objective optimization. International Journal of Machine Learning and Cybernetics, 10(8), (Impact factor 3.844)

    7.  Y. Wang et al., (2019) A deep learning driven method for fault classification and degradation assessment in mechanical equipment, Computers in Industry, (ABS 3*, impact factor: 2.85)

    8.  Y. Wang, B. Li, K. Wang, G. Dai, Cognitive maintenance for cutting-edge equipment and manufacturing based on Deep Learning, (2019) Frontiers of Information Technology & Electronic Engineering, ISSN 2095-9184 (SCI index, Impact factor: 0.910).

    9.  L. Ze, Y. Wang, K.Wang, J. Yuan (2019) A deep learning driven method for fault classification and degradation assessment in mechanical equipment, Computers in Industry, (ABS 3*, IMF: 2.85)

    10. Y. Wang, K. Wang, G. Dai, (2018) A review on Deep Learning Techniques Applied to Predictive Maintenance, CAOD Journal, ISSN: 2095-0411.

    11. H. Ma, Y. Wang and K. Wang. Automatic detection of false positive RFID readings using machine learning algorithms (2018) Expert Systems with Applications, Vol 91, pp 442-451 (ABS 3*, Impact Factor: 3.928)

    12. C. Mi, T. Zhou, B. Wei, Yi Wang and L. Zou (2018) Design of high-accuracy eight-channel surface electromyography acquisition system and its application, Eur. Phys. J. Special Topics 227, 933–942 (Impact Factor: 1.08)

    13. B. Li, Y. Wang, K. Wang. (2017). A novel method for the evaluation of fashion product design based on data mining, Advances in manufacturing https://doi.org/10.1007/s40436-017-0201-x (H index 8)

    14. C. Wang, Y. Wang and K. Wang, An Improved Hybrid Algorithm Based on Biogeography /Complex and Metropolis for Many-Objective Optimization (2017 ) Mathematical Problems in Engineering (Impact Factor 0.802)

    15. Y. Wang, H. Ma, J. Yang and K. Wang. (2017) Industry 4.0: a way from mass customization to mass personalization production. Journal of Advances in Manufacturing, Springer. https://doi.org/10.1007/s40436-017-0204-7 (H index 8)

    16. H. Ma, Y. Wang, K. Wang and Z. Ma. (2017) The optimization for hyperbolic positioning of UHF passive RFID tags. IEEE Transactions on Automation Science and Engineering ( Impact Factor: 3.502)

    17. C. Wang, Y. Wang and K. Wang, (2017) An improved biogeography/complex algorithm based on decomposition for many-objective optimization, International Journal of Machine Learning and Cybernetics (Impact Factor 1.699)

    18. Moreira N, de Santa-Eulalia L, At-Kadi D, Wood- Harper T, Y. Wang (2015) A conceptual framework to develop green textiles in the aeronautic completion industry: a case study in a large manufacturing company. Journal of Cleaner Production, Volume 105, Pages 371–388. Elsevier (IMF 4.959)

    19. R. Rayyaan, Y. Wang, R. Kennon. (2014) Ontology-based interoperability solutions for textile supply chain. Advances in Manufacturing, June 2014, Volume 2, Issue 2, pp 97-105, Springer

    20. Z. Zhang, Y. Wang and K. Wang. (2013)Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks. Int J Adv Manuf Technol. Volume 68, Issue 1, pp 763-773, Springer (IMF 1.568)

    21. Z. Zhang, Y. Wang, K. Wang (2012) Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network, Journal of Intelligent Manufacturing, Volume 24, Issue 6, pp 1213-1227, Springer. (IMF 1.995)

    22. H. Zhu., Y. Wang, K. Wang , Y. Chen (2011) “Particle Swarm Optimization (PSO) for the constrained Portfolio Optimization Problem”, Expert system with application, Elsevier. Volume 38, Issue 8, Pages 10161-10169, Elsevier (IMF 2.981, ABS 3*)

    23. Y. Wang (2010) “Challenges in semantic branding”, Journal of digital marketing, Research science press, Vol. 1. No. 1, pp. 1-14.

    24. Y. Wang and K. Wang (2010) “Heuristic portfolio optimization in knowledge management.” Communication and Cognition, Vol. 43. (1&2), pp. 3-15.

    25. M. Cheng, Y. Wang, Y. Chen and K. Wang (2010) “Technical risk modelling in complex, large-scale products”, International Journal of Information technology and Security, ISSN 1313-8251, Vol. 4, pp. 3 – 19.

    26. Y. Wang, (2009) “Intelligent Cultural Network Analysis”, International Marketing Review, Special Issue: Globalisation and Regionalisation, Vol. 26, No. 4/5 ISSN: 0265-1335, pp 542-553, Emerald. (IMF 1.865, ABS 3*).

    27. Y. Wang, (2008) “Applying dynamic causal mining in retailing”, Research journal of Computer science and computer engineering with applications, No. 37, pp 55-61, ISSN 1870-9044.

    28. Y. Wang and S. Mathai (2008) “Intelligent information retrieval”, SCIT journal for information technology, Vol. 8,pp. 1-14, ISSN: 0974-5076

    29. Y. Wang, (2008) “Applying Dynamic Causal Mining in Game Theoretical Analysis”, International Journal of Mathematics, Game Theory and Algebra, Volume 18, issue 2, pp 107-120. ISSN: 1060-9881, Nova Science Publishers, Inc.

    30. Y. Wang and K. Kailasanathan (2008) “Applying Dynamic Causal Mining in medical management”, International Journal of Healthcare Information Systems and Informatics, Idea Group Inc. vol. 3, No.4, pp 17-38

    31. Y. Wang, (2007) “Integration of data mining with game theory”, Journal of Intelligent Manufacturing, Springer, Vol. 18, No.4, pp. 505-511. ISSN: 0956-5515. Springer. (IMF 1.731)


    Articles
    Wu J, Tang T, Chen M, Wang Y & Wang K 2020 'A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions' Expert Systems with Applications 160, 113710-113710 , DOI
    Li B-R, Wang Y, Dai G-H & Wang K-S 2019 'Framework and case study of cognitive maintenance in Industry 4.0' Frontiers of Information Technology & Electronic Engineering 20, (11) 1493-1504 , DOI
    Li Z, Li J, Wang Y & Wang K 2019 'A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment' The International Journal of Advanced Manufacturing Technology 103, (1-4) 499-510 , DOI
    Liu X, Ding X, Chen C, An R, Guo W, Zhang W, Nan H & Wang Y 2019 'Investigating the filtration behavior of metal fiber felt using CFD-DEM simulation' Engineering Applications of Computational Fluid Mechanics 13, (1) 426-437 , DOI
    Li Z, Wang Y & Wang K 2018 'A deep learning driven method for fault classification and degradation assessment in mechanical equipment' Computers in Industry 104, 1-10 Author Site , DOI
    Li Z, Wang Y & Wang K 2017 'A data-driven method based on deep belief networks for backlash error prediction in machining centers' Journal of Intelligent Manufacturing , DOI
    Li B-R, Wang Y & Wang K-S 2017 'A novel method for the evaluation of fashion product design based on data mining' Advances in Manufacturing 5, (4) 370-376 , DOI
    Li Z, Wang Y & Wang K-S 2017 'Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario' Advances in Manufacturing 5, (4) 377-387 , DOI
    Wang Y, Ma H-S, Yang J-H & Wang K-S 2017 'Industry 4.0: a way from mass customization to mass personalization production' Advances in Manufacturing 5, (4) 311-320 , DOI
    Ma H, Wang Y, Wang K & Ma Z 2017 'The Optimization for Hyperbolic Positioning of UHF Passive RFID Tags' IEEE Transactions on Automation Science and Engineering 14, (4) 1590-1600 , DOI
    Wang C, Wang Y, Wang K, Yang Y & Tian Y 2017 'An improved biogeography/complex algorithm based on decomposition for many-objective optimization' International Journal of Machine Learning and Cybernetics , DOI
    Ma H, Wang Y & Wang K 2017 'Automatic detection of false positive RFID readings using machine learning algorithms' Expert Systems with Applications 91, 442-451 , DOI
    Wang C, Wang Y, Wang K, Dong Y & Yang Y 2017 'An Improved Hybrid Algorithm Based on Biogeography/Complex and Metropolis for Many-Objective Optimization' Mathematical Problems in Engineering 2017, 1-14 , DOI
    Moreira N, de Santa-Eulalia LA, Aït-Kadi D, Wood–Harper T & Wang Y 2015 'A conceptual framework to develop green textiles in the aeronautic completion industry: a case study in a large manufacturing company' Journal of Cleaner Production 105, 371-388 , DOI
    Books

    • Y. Wang (2019), Fashion Supply Chain and Logistics Management, Rutledge

    • K.Wang and Y. Wang (2012) Data mining for zero-defect manufacturing, Springer,ISBN 978-82-519-2776-5

    • L. Oxborrow and Y. Wang (2008) Operations management for business students, Peasron, ISBN 9780857761057

    Wang Y 2020 Preface. 634 LNEE
    Wang Y 2019 Preface. 484
    Wang Y 2018 Preface. 451
    Chapters

    1. Y. Wang and Wang, K. (2010) “Intelligent Manufacturing Systems.” , Handbook of Technology Management. John Wiley & Sons, ISBN 978-0-470-24950-5.

    2. Y. Wang, C. Yun and K. Wang (2009) “A Case Study of Genetic Algorithms for Quay Crane Scheduling”: Opportunities and Challenges for next Generation Applied Intelligence. Springer 2009 ISBN 978-3-540-92813-3. pp.119-125.

    3. Y. Wang, (2008) “Applying Dynamic Causal Mining in E-government”, Social and Political Implications of Data Mining: Knowledge Management in E-Government, Niagara Falls, NY: IGI Publishing, pp. 287-310.

    4. K. Wang, and Y. Wang (2008) “Applying Genetic Algorithms to optimize the cost of multiple sourcing supply chain systems – An industry case study. I: Success in Evolutionary Computation. Springer 2008 ISBN 9783540762850. s. 355-372

    5. Y. Wang, (2008) “Applying Fuzzy Logic in Dynamic Causal Mining“. In Handbook of Research on Fuzzy Information Processing in Databases. Hershey, PA, USA: Information Science Reference. pp 345-365.

    Scholarly Editions

    1.  K. Wang; Yi Wang; J.Strandhangen and Tao Yu. (eds.) (2018) Advanced Manufacturing and Automation VIII, Lecture Notes in Electrical Engineering, Vol. 484, ISSN: 1876-1100 ISSN: 1876-119 (electrical), Springer Nature. Https://doi.org/10.1007/978-981-13-2375-1

    2.  Yi Wang; Jan Ola Strandhagen; and Tao Yu. (eds.) (2016) Proceedings of the 6th nternational workshop of Advanced Manufacturing and Automation, ISSN: part of AEBMR, 2352-5426 Volumn 24, ISBN: 978-94-6252-243-5, Atlantis Press

    3.  J. Strandhagen and Y. Wang, (Eds), (2015) Special Issue: How to reach smart manufacturing. Journal of Advances in Manufacturing, Volum 3. (2) s. 97-172.

    4.  K. Wang, Y. Wang, T. Yu and J. Strandhagen, (Eds) (2015). Advanced Manufacturing and Automation V , WIT press

     

    Conference Papers

    1.Y. Wang and C.V., de Haro (2020) FASHION 4.0: A Potential Solution to a More Sustainable Fashion Industry, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    2. Y. Wang, et al, (2020) Critically Evaluate How Industry 4.0 Can Be Implemented Within the Car Manufacturing Process, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    3. Y. Wang, et al, (2020) Understanding the Impact of Game Theory on Circular Economy
    4. Within the Apparel Industry, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    5. Y. Wang, et al, (2020) Implementing Vertical Integration in the Fashion Industry, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    Page 17 of 30
    6. Y. Wang, et al, (2020) Research on Multi-modal Data Cross-Media Perception Fusion Algorithm Based on Digital Twin, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    7. Y. Wang, et al, (2020) 4D Printed Self Assembling Module for Terraforming Environment, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    8. Y. Wang, et al, (2020) Multidimensional network analysis to predict correlations between offline and online interactions, in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    9. Y. Wang, et al, (2020) Research challenges in off-line ancient handwriting recognition – A deep learning approach in Proceedings of IWAMA2020, 12-13 October, Lingnan Normal University, Zhanjiang, China, springer
    10. Xiaotian Xie, Chukwuneke Okorie, Luciana Dalla Valle, Yi Wang (2019) Exploring the effect of big data analytics capability on port performance, 4-6 September, University of Northampton, UK
    11. J.Walker, S. CXhilde and Yi wang, Analysing manufacturing enterprises to identify opportunities for automation and guide implementation – a review., Manufacturing Modelling, Management and Control - 9th MIM 2019, Berlin, GERMANY
    12. Xiangyu Zhang , Lilan Liu, Xiang Wan, Yi Wang and Qi Huang, Assembly Sequence Optimization based on Improved PSO algorithm, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    13. Xiaotian Xie, Chukwuneke Okorie, Luciana Dalla Valle, Yi Wang. Analytical exploration of Big Data analytics capability in seaport 9th INTERNATIONAL CONGRESS ON TRANSPORTATION RESEARCH, October 24th -25th 2019, Athens, Greece *
    14. Xiaolong Li, Lilan Liu, Xiang Wan , Linyan Gao, Qi Huang and Yi Wang, Fault Diagnosis Algorithm Based on Multiscale Convolutional Neural Network, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    15. Shouzheng Liu , Lilan Liu , Xiang Wan, Yi Wang and Fang Wu, Application of Automotive Rear Axle Assembly, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    16. Lingyan Gao , Lilan Liu , Fang Wu , Xiang Wan and Yi Wang, Construction of equipment maintenance guiding system and research on key technologies based on augmented reality, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    17. Xiang WAN, Lilan LIU, Sen WANG , Fang WU , Yi WANG, A Transfer Learning Strip Steel Surface Defect Recognition Network based on VGG19, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    18. Bo Chen , Kesheng Wang , Xiue Gao, Yi Wang, Shifeng Chen, Tianshu Zhang, A New Fault Identification Method based on Combined Reconstruction Contribution Plot and Structured Residual, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    19. Xiue Gao, Bo Chen, Shifeng Chen, Kesheng Wang, Yi Wang, Wenxue Xie, Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    20. Taylor Barnard , Yi Wang, Applying quality function deployment in smart phone design, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer *
    21. Chloe Luo , Yi Wang, Game theory in the fashion industry: How can H&M use game theory to determine their marketing strategy?, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    22. Lapo Chirici , Yi Wang , Kesheng Wang, Multidimensional Analysis between High-energy-physics theory citation network and Twitter, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    23. Chen Wang , Yi Wang and Kesheng Wang, Application of variable step size beetle antennae search optimization algorithm in the study of spatial cylindrical, In Proceedings of IWAMA2019, 21-22 November, 2019, Plymouth University. UK, Springer
    Page 18 of 30
    24. Deraz,N., Wang,Y.,Moizer,J. and Neaga,I. (2018), 'Applications of Artificial Neural Networks for the Inventory Management of the Fast Moving Consumer Goods Distributor', The Logistics Research Network (LRN) conference, Plymouth, United Kingdom.
    25. B. Li, Yi Wang, K.Wang, J. Yang (2018) Application of CNN Deep Learning in Product Design Evaluation, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    26. Z. Li, Y. Wang, K. Wang (2018) HDPS-BPSO based predictive maintenance scheduling for backlash error compensation in a machining center, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    27. Yi Wang, K. Wang, G. Dai (2018) Cognitive maintenance for high-end equipment and manufacturing, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China *
    28. F. Youd, Yi Wang (2018) Applying decision tree in National Health Service, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    29. J. Mugridge, Yi Wang (2018) Applying decision tree in food industry – a case study, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    30. L. Liu, G. Sun, Z. Gao and Yi Wang, (2018) Analysis of Speech Enhancement Algorithm in Industrial Noise Environment, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    31. J. Yuan, Yi wang, K. wang (2018) LSTM based Prediction and Time-temperature Varying Rate fusion for Hydropower Plant Anomaly Detection: a Case study, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    32. L. Liu, G. Sun, Z. Gao, Yi Wang, (2018) Analysis of Speech Enhancement Algorithm in Industrial Noise Environment, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    33. C. Wang, C. Ren, B. Li, Yi Wang, Kesheng Wang, (2018) Research on Straightness Error Evaluation Method based on Search Algorithm of Beetle, 8th International Workshop on Advanced Manufacturing and Automation, Changzhou University, Changzhou, China
    34. Yi Wang, (2017) The challenges and promises of big data - an engineering perspective (keynote), IWAMA2017, Changshu, China 11-12th September 2017.
    35. Mengjia Qi , Lilan Liu , Renfei Ma , Yi Wang, (2017) Lightweight design of LED street lamp based on response surface method, IWAMA2017, Changshu, China 11-12th September 2017.
    36. Kang Wang, Qing Zhang, Chen Zheng, Yi Wang, (2017) Simulation Analysis of Rotor Indirect Field Oriented Vector Control System For AC Induction Motor In Low Speed Electric Vehicles, IWAMA2017, Changshu, China 11-12th September 2017.
    37. Shuai Li,·Lilan Liu,·Yiping Wu, Yi Wang, (2017) The Algorithm Knowledge Base for Steel Production Process Optimization, IWAMA2017, Changshu, China 11-12th September 2017.
    38. Jin Yuan, Yi Wang and Kesheng Wang, (2017) Deep Learning Approach to Multiple Features Sequence Analysis in Predictive Maintenance, IWAMA2017, Changshu, China 11-12th September 2017.
    39. Zhongwei Rao, Bowen Feng, Lilan Liu, Yi Wang, (2017) Equipment Condition Monitoring System Based on LabVIEW, IWAMA2017, Changshu, China 11-12th September 2017.
    40. Chen Wang, Baorui Li, Yi Wang, Kesheng Wang, (2017) A modified teaching and learning based optimization algorithm and application in deep neural networks optimization for electro-discharge machining, IWAMA2017, Changshu, China 11-12th September 2017.
    41. Kesheng Wang and Yi Wang, How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning, IWAMA2017, Changshu, China 11-12th September 2017.
    42. Baorui Li , Yi Wang, Kesheng Wang, Jinghui Yang, Lilan Liu, (2017) A Study on a Novel Application of Eye Tracking Technology in Product Customization, IWAMA2017, Changshu, China 11-12th September 2017.
    43. Quan Yu, Kesheng Wang, Jan Ola Strandhagen, Yi Wang, (2017) Application of Long Short-Term Memory Neural Network to Sales Forecasting in Retail – A Case Study, IWAMA2017, Changshu, China 11-12th September 2017.
    Page 19 of 30
    44. Baorei Li, Yi Wang & Kesheng Wang, (2016) Data fusion and analysis techniques of neuromarketing, Advanced Manufacturing and Automation V, WIT transaction on Engineering Science Vol 113,
    45. Yi Wang (2016) Applying quality function deployment in educational Game development, International Conference on Education and New Learning Technologies, Barcelona ,Spain 4th -6th of July.
    46. Yi Wang(2016) Knowledge management in cyberbullying, International conference for Advancing Knowledge, Understanding and Practice in Education, Dublin, June 9th - 10th
    47. Kesheng Wang; Yi Wang; Jan Ola Strandhagen; and Tao Yu. (2016) Advanced Manufacturing and Automation VI. In: Advances in Economics, Business and Management Research, Vol. 24, No. IWAMA2016, Atlantis Press. (ISBN 978-94-6252-243-5)
    48. Baorui Li; Kesheng Wang and Yi Wang. (2016) A Novel Method for the Evaluation of Fashion Product Design Based on Neuro Analysis. In: Advances in Economics, Business and Management Research, Vol. 24, pp. , Atlantis Press. (ISBN 978-94-6252-243-5)
    49. E. Trimble, Yi Wang, R. Kennon (2015), The Analysis of Consumer Behaviour by Fusing EEG and Eye-Tracking Data, Proceedings of IWAMA 2015, WIT Press, Norway
    50. M. kamal, Yi Wang, R. Kennon, (2015)Redesigning cultural product by applying quality function deployment, Proceedings of IWAMA 2015, WIT Press, Norway
    51. B. Li, Y. Wang, E. Trimble and K. Wang (2015), Data fusion and analysis techniques of Neuromarketing, Proceedings of IWAMA 2015, WIT Press, Norway
    52. Y. Wang (2015), The Introduction of Neuro Operation Management – A Product Design Perspective, Keynote in Proceedings of IWAMA 2015, Proceedings of IWAMA 2015, WIT Press, Norway
    53. C. Raras, Yi Wang, R. Kennon. (2015) A cultural study of value perception in luxury purchase. International society for engineering research and design. Bali, Indonesia:
    54. M. Kamal, Yi Wang, R. Kennon. (2015) Applying house of quality in Malay sarong design.: Global Alliance of Marketing & Management Associations: University of Florence, Florence, Italy
    55. E. Trimble, Yi Wang, R. Kennon. (2015) The Analysis of Consumer Behaviour By Fusing EEg And Eye-Tracking Data. The European Marketing Academy, Aarhus, Denmark
    56. C. Raras, Yi Wang, R. Kennon. (2015) Value perception on fashion luxury purchase in individualistic and collectivistic country. Global Fashion Management Conference. Florence, Italy.
    57. Y. Wang. (2014) Comparison of management strategies for sustainable fashion supply chain – with focus on environmental risk. Global Fashion Management Conference. London: FASHIONLAND Co., Ltd.
    58. Y. Wang and A.M. Lindstrom. (2014) Disposition Strategies within Value-Optimizing Returns Management. International workshop of Advanced Manufacturing and Automation. Norway: Tapir forlag: 2014:
    59. X. Song, Y. Wang and R. Kennon. (2014) Improving Linguistic Communication in Fashion. 11th International CIRCLE Conference. Manchester, UK
    60. N. Moreira, D. Aït-Kadi, D. R.s Vieira, A. Romero, L. A. de Santa-Eulalia, Y. Wang. (2014) Integrating Eco-design and PLM in the Aviation Completion Industry: A Case Study. Product Lifecycle Management for a Global Market. Springer Berlin Heidelberg
    61. M. Kim, Y. Wang and R. Kennon. (2014)Investigation of consumer value perceptions of luxury fashion brands. Global Fashion Management Conference. London.
    62. N. Moreira, Y. Wang and R. Kennon. (2014)The development of products: dealing with the high-end consumer requirements on designing ecologically driven textile products. Global Fashion Management Conference. London: Fashionland Co., Ltd
    63. Y. Wang and Siyue Zhao. (2013) Cultural Analysis in Fashion: A Study Of The Cultural Influence On Chinese Consumer Behaviour. EIASM Fashioning Management,Antwertp Belgium
    64. Y. Wang, Quan Yu, and Kesheng Wang. (2013) Extracting associative rules from RFID data. International Joint Conference on e-Business and Telecommunications. Germany: Springer
    65. Y. Wang. (2013) Integrating association mining with quality function deployment. 2nd Cambridge Academic Design Management Conference. Cambridge, UK: Cambridge 66. L. chirici, Y. Wang, k. Wang (2012) A tailor made RFID-fuzzy model based model to optimize the warehouse management. In: Proceedings of IWAMA 2012 - The Second International Workshop
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    of Advanced Manufacturing and Automation, Tapir Academic Press, 2012 (ISBN 9788232101108), pp. 491-498 67. Y. Wang (2012) Intelligent cultural analysis. International Workshop of Advanced Manufacturing and Automation. Trondheim, Norway: Tapir Forlag.
    68. Yi Wang, Lilan Liu and Kesheng Wang, (2012) Swarm Intelligence (SI) for decision support in operations management – Methods and applications, Proceedings of the EWG-DSS Liverpool-2012 Workshop on Decision Support Systems & Operations Management Trends and Solutions in Industries, 12-13th April, ISBN: 978-0-9561122-4-8, the University of Liverpool, 2012.
    69. Yu, Quan; Wang, Yi; Wang, Kesheng, (2012) Extracting Associative Rules from RFID data. I: Proceedings of IWAMA 2012 - The Second International Workshop of Advanced Manufacturing and Automation. Tapir Akademisk Forlag 2012 ISBN 9788232101108, pp. 467-474
    70. Yi Wang, Kesheng Wang and Lilan Liu, (2011) Swarm Intelligence: A new way to think about operations management, Proceedings of MITIP 2011 (The 13th international MITIP conference), 22-24 June 2011, Trondheim, Norway, Tapir Academic Press, (ISBN 978-82-519-2816-8), pp. 469-478.
    71. Y. Wang, S. Kerridge, P. Smith, S. Foster and S. Trowell ( 2011) “Integration of CERIF, ESB and Cloud in the Development of a National Global Research and Administrative Management System”, The Fifth Metadata and Semantics Research Conference, Oct, 12th -14th , Izmir, Turkey
    72. Y. Wang, (2010) “Intelligent Quality Function Deployment (QFD) - A Novel Approach to Integration of Marketing and Manufacturing”, International Workshop of Advanced Manufacturing and Automation (IWAMA), 25-26 September, Shanghai.
    73. Hongze Ma and Y. Wang, (2010) Sustainable Supply Chains in the Multi-polar World International Workshop of Advanced Manufacturing and Automation (IWAMA), 25-26 September, Shanghai
    74. Y. Wang, “Intelligent e-branding management”, (2010) 6th Thought Leaders International Conference in Brand Management, Lugano, Switzerland, April 18-20.
    75. Y. Wang and K. Wang, (2009) Portfolio Management using Particle Swarm Optimization in Knowledge Management. International Conference on e-learning and the Knowledge Society, pp 33-39, Berlin, 4-5.Sept.
    76. Y. Wang (2008) “Dealing with information overload in marketing”, Academy of Marketing Annual Conference, pp 55-60, Aberdeen, July
    77. Guo, B., Y., Wang, Smart, P. R., Shadbolt, N. R., Nixon, M. S. and Damarla, R. (2007) Approaching Semantically-Mediated Acoustic Data Fusion. In: 1st Annual Conference of the International Technology Alliance (ACITA), 25-27 September, Maryland, US
    78. Guo, B., Y., Wang, Smart, P. R., Shadbolt, N. R., Nixon, M. S. and Damarla, R. (2007) Acoustic Data Fusion. In: Military Communications Conference (MILCOM), 29-31 October, Orlando, Florida, USA
    79. Y. Wang, (2006), "Game theory and data mining", in Proceedings of PROLAMT 2006, International Conference of IFIP TC5, Springer, ISBN: 10: 0-387-34402-0, pp.234-255.
    80. D. T. Pham, Y. Wang, S. Dimov (2006) “Incorporating delay and feedback in intelligent manufacturing strategy selection”. Proc 2nd Int Virtual Conf on Intelligent Production Machines and Systems. Oxford: Elsevier. pp 246-252.
    81. D.T. Pham, Y. Wang, S. Dimov (2005) “Intelligent manufacturing strategy selection”, Proc 1st Int Virtual Conf on Intelligent Production Machines and Systems. Oxford: Elsevier, pp 356-360.Cardiff, June.

    Chen B, Wang K, Gao X, Wang Y, Chen S, Zhang T, Martinsen K & Ghosh T 2020 'A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual' Springer Singapore 283-291 , DOI
    Wang C, Wang Y & Wang K 2020 'Application of Variable Step Size Beetle Antennae Search Optimization Algorithm in the Study of Spatial Cylindrical Errors' Springer Singapore 646-653 , DOI
    Barnard T & Wang Y 2020 'Applying Quality Function Deployment in Smart Phone Design' Springer Singapore 396-401 , DOI
    Gao X, Chen B, Chen S, Wang K, Wang Y, Xie W, Yuan J, Martinsen K & Ghosh T 2020 'Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory' Springer Singapore 379-387 , DOI
    Luo C & Wang Y 2020 'Game Theory in the Fashion Industry: How Can H&M Use Game Theory to Determine Their Marketing Strategy?' Springer Singapore 633-638 , DOI
    Chirici L, Wang Y & Wang K 2020 'Multidimensional Analysis Between High-Energy-Physics Theory Citation Network and Twitter' Springer Singapore 639-645 , DOI
    Selmair M, Swinarew A, Meier K-J & Wang Y 2019 'Solving Non-Quadratic Matrices In Assignment Problems With An Improved Version Of Vogel's Approximation Method' 33rd International ECMS Conference on Modelling and Simulation ECMS , DOI
    Walker J, Childe S & Wang Y 2019 'Analysing manufacturing enterprises to identify opportunities for automation and guide implementation - a review' Elsevier BV 2273-2278 , DOI
    Liu L, Sun G, Gao Z & Wang Y 2018 'Analysis of Speech Enhancement Algorithm in Industrial Noise Environment' Springer Singapore 226-236 , DOI
    Li B, Wang Y, Wang K & Yang J 2018 'Application of CNN Deep Learning in Product Design Evaluation' Springer Singapore 517-526 , DOI
    Mugridge J & Wang Y 2018 'Applying Decision Tree in Food Industry – A Case Study' Springer Singapore 383-388 , DOI
    Youd F & Wang Y 2018 'Applying Decision Tree in National Health Service' Springer Singapore 389-393 , DOI
    Wang Y, Wang K & Dai G 2018 'Cognitive Maintenance for High-End Equipment and Manufacturing' Springer Singapore 394-400 , DOI
    Buchan A & Wang Y 2018 'Decision-Making and Supplier Trust' Springer Singapore 401-405 , DOI
    Roddy A & Wang Y 2018 'Groups Decision Making Under Uncertain Conditions in Relation—A Volkswagen Case Study' Springer Singapore 406-410 , DOI
    Li Z, Wang Y, Wang K & Li J 2018 'HDPS-BPSO Based Predictive Maintenance Scheduling for Backlash Error Compensation in a Machining Center' Springer Singapore 71-77 , DOI
    Liu L, Sun P, Gao Z & Wang Y 2018 'Integrated Production Plan Scheduling for Steel Making-Continuous Casting-Hot Strip Based on SCMA' Springer Singapore 418-431 , DOI
    Yuan J, Wang Y & Wang K 2018 'LSTM Based Prediction and Time-Temperature Varying Rate Fusion for Hydropower Plant Anomaly Detection: A Case Study' Springer Singapore 86-94 , DOI
    Dugmore P & Wang Y 2018 'Product Design in Food Industry - A McDonald’s Case' Springer Singapore 448-452 , DOI
    Liu L-L, Chen E-L, Gao Z-G & Wang Y 2018 'Research on Motion Planning of Seven Degree of Freedom Manipulator Based on DDPG' Springer Singapore 356-367 , DOI
    Liu L, Jiang C, Gao Z & Wang Y 2018 'Research on Real-Time Monitoring Technology of Equipment Based on Augmented Reality' Springer Singapore 141-150 , DOI
    Wang C, Ren C, Li B, Wang Y & Wang K 2018 'Research on Straightness Error Evaluation Method Based on Search Algorithm of Beetle' Springer Singapore 368-374 , DOI
    Wang C, Li B, Wang Y, Wang K & Wang S 2018 'A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining' Springer Verlag 605-615 , DOI
    Li B, Wang Y, Wang K, Yang J & Liu L 2018 'A Study on a Novel Application of Eye Tracking Technology in Product Customization' Springer Singapore 617-628 , DOI
    Yu Q, Wang K, Strandhagen JO & Wang Y 2018 'Application of Long Short-Term Memory Neural Network to Sales Forecasting in Retail—A Case Study' Springer Singapore 11-17 , DOI
    Yuan J, Wang K & Wang Y 2018 'Deep Learning Approach to Multiple Features Sequence Analysis in Predictive Maintenance' Springer Singapore 581-590 , DOI
    Rao Z, Feng B, Liu L & Wang Y 2018 'Equipment Condition Monitoring System Based on LabVIEW' Springer Singapore 531-539 , DOI
    Wang K & Wang Y 2018 'How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning' Springer Singapore 1-9 , DOI
    Li S, Liu L, Wu Y & Wang Y 2018 'The Algorithm Knowledge Base for Steel Production Process Optimization' Springer Singapore 541-552 , DOI
    Wang Y 2018 'The Challenges and Promises of Big Data—An Engineering Perspective' Springer Singapore 599-604 , DOI

    Additional information

    IWAMA201 9

    9 th International Workshop of Advanced Manufacturing and Automation

    21 – 22 November 201 9

    Plymouth University , Plymouth, UK

     

    FirstAnnouncement and Call for Papers

    IWAMA International Workshop ofAdvanced Manufacturing and Automation – is an important internationalworkshop for academic and industrial experts in the fields of advancedmanufacturing and automation and will be organized as an annual eventworldwide. Manufacturing and automation have assumed paramount importance andare vital factors for the maintenance and improvement of the economy of anation and the quality of life. The field of manufacturing and automation isadvancing at a rapid pace and new technologies are also emerging in the field.The challenges faced by today’s engineers are forcing them to keep on top ofthe emerging trends through continuous research and development.

    IWAMA aims at providing a commonplatform for academics, researchers, practicing professionals and experts fromindustries to interact and discuss trends and advances in some areas ofmanufacturing and automation while sharing ideas and perspectives.

     

    Workshop Topics

    These are the main topics of IWAMA 2019, but the topics are not limited to these. Authors should select 2-3 topics when they submit their papers.

    1.     Robotics and Automation

    2.     chemical process equipment

    3.     Parallel mechanism and manipulator

    4.     Computational Intelligence

    5.     Design and Optimization

    6.     Product Life-cycle Management

    7.     Integration of CAD/CAPP/CAM/CIMS

    8.     Advanced Manufacturing Systems

    9.     Manufacturing Operations Management

    10.   Knowledge-based Manufacturing

    11.   Manufacturing Quality Control and Management

    12.   Sustainable Production

    13.   Diagnosis and Prognosis of Machines

    14.   Industry 4.0

    15.   Lean and Agile Manufacturing

    16.   Virtual and Grid Manufacturing

    17.   Resource and Asset Management

    18.   Logistics and Supply Chain Management

    19.   Fashion Logistics and Marketing

    20.   RFID Applications

    21.   Predictive Maintenance

    22.   Reliability and Maintainability in Manufacturing

    23.   Project Management

    24.   Renewable Energy Development

    25.   Knowledge management and Decision making

    26.  Intelligent Inspection

     

    Submission of papers

    Authors are invited to submit their papers presenting the results of original research or innovative practical applications relevant to the workshop. The papers should be min. 6 and max. 8 pages. Pages over 8 will be charged additionally. The paper should be written in English according to the paper template, which can be downloaded from IWAMA website (http://www.iwama.com). The paper should be sent to yi.wang@plymouth.ac.uk or kesheng.wang@ntnu.no.

    The presentation at the workshop should not exceed 15 minutes. Full papers can be submitted to Kesheng Wang (kesheng.wang@ntnu.no) or IWAMA website. We also make a poster session and industry session.

    Each paper will be peer-reviewed by two experts and all accepted papers will be published as a proceedings in Lecture Notes of Electrical Engineeringon (LNEE) by Springer, which will be indexed by EI compendex. Selected papers will be considered for publication in an expanded form in relevant international journals, such as Advances in Manufacturing, Journal of Intelligent Manufacturing, Application of Expert systems or others indexed by EI or SCI.

    Registration and fees

    Regular and audience registration fees include:

    · Regular registration:£300

    · Audience registration: £100

    · Additional paper: £150

    · Additional sheet: £40

    · Poster paper: £120

    · Admission to all sessions

    · Workshop kit

    · Refreshment in coffee breaks

    · Lunches and conference dinners

    *Regular and poster papers are included in the Proceedings.

    Visa – If requested, our workshop secretariat will provide an invitation letter to the participant to present together with the visa request to make the visa procedure simpler and faster.

    Venue – The workshop will take place in Plymouth University, Plymouth, UK.

    Accommodation & travel information

    Attendees will be suggested to book the hotel proposed later on.

    Visitors arrive at London Heathrow Airport, and then may take a train or bus to the hotel in Plymouth City.

    Daily temperature in September in Plymouth is about 10 °C.

     

    Important Dates

    First announcement 15.11 2018

    Paper submission deadline 30.07 2019

    Acceptance notification 01.08 2019

    Final camera ready paper submission 15.08 2019

     

     

    Honorary Chairs:

    General Chairs:

    Minglun Fang, Kesheng Wang and Jan Ola Stradnagen

    Yi Wang, Kristian Martinsen and Tao Yu

     

    Program Committee

    Jan Ola Strandhagen, Norway

    Kesheng Wang, Norway

    Odd Myklebust, Norway

    Per Schjølberg, Norway

    Knut Sørby, Norway

    Erlend Alfnes, Norway

    Heidi Dreyer, Norway

    Torgeir Welo, Norway

    Kristian Martinsen, Norway

    Hirpa L. Gelgele, Norway

    Wei D. Solvang, Norway

    Yi Wang, UK

    Chris Parker, UK

    Jorge M. Fajardo, Spain

    Maria J. Calle, Spain

    Torsten Kjellberg, Sweden

    Fumihiko Kimura, Japan

    Gustav J. Olling, USA

    Michael Wozny, USA

    Byoung K. Choi, Korea

    Wladimir Bodrow, Germany

     

    Guy Doumeingts, France

    Van Houten, Netherlands

    Peter Bernus, Australia

    Janis Grundspenkis, Latvia

    George L. Kovacs, Hungary

    Rinaldo Rinaldi, Italy

    Gaetano Aiello, Italy

    Romeo Bandinelli, Italy

    Yafei He, China

    Jawei Bai, China

    Jinhui Yang, China

    Dawei Tu, China

    Minglun Fang, China

    Binheng Lu, China

    Xiaoqien Tang, China

    Ming Chen, China

    Xinguo Ming, China

    Keith C. Chan, China

    Meiping Wu, China

    Lanzhoung, Guo, China

    Xiaojing Wang, China

    Jin Yuan, China

    Yongyi He, China

    Chaodong Li, China

    Cuilian Zhao, China

    Chuanhong Zhou, China

    Jianqing Cao, China

    Yayu Huang, China

    Shirong Ge, China

    Guijuan Lin, China

    Shanming Luo, China

    Dong Yang, China

    Zumin Wang, China

    Guohong Dai, China

    Sarbjit Singh, India

    Vishal S. Sharma, India

    Hongjun Ni, China

    Ziqian Zhou, China

    Jianqien Chao, China

    Zhengyu Hong, China

     

    Organizing Committee

    Yi Wang(Chair), Jonathan Moizer, Stephen Childe, Ziqiang Zhou, Jin Yuan, Zhenyu Hong, Oleksandr Semeniuta and Ivanna Baturynska

     

     

    Workshop Secretariat

    Oleksandr Semeniuta oleksandr.semeniuta@ntnu.no 

    Ziqiang Zhou

    zzq_rrme@163.com

                          Jin Yuan

    jyuan@sdau.edu.cn

     

     

     

    Links

    Proceeding:

    https://link.springer.com/book/10.1007%2F978-981-15-2341-0