Professor Shaomin Wu

Professor in Business/Applied Statistics

About

Professor Shaomin Wu received his PhD and MSc in Applied Statistics. He is currently Programme Director for the MSc Business Analytics and coordinates the Student Implant Scheme. His current research interests include Business Data Analysis, Applied Stochastic Processes, and Risk Management.

Professor Wu serves on the editorial board of several journals, including IISE Transactions, Reliability Engineering and System Safety, and IMA Journal of Management Mathematics. He has co-chaired 3 international conferences, has been invited to act as scientific committee members by more than 18 international conferences, has edited 3 special issues, has been invited to review research proposals for four countries, and has published over 60 papers in academic journals. Professor Wu has also won research funding from the EPSRC as the PI and a Co-I, respectively. He is currently undertaking a research project funded by the ESRC as a co-investigator.

Research Interests

Applied Stochastic Processes, Statistical Data Analysis, Data Mining, and Risk Management.

Professor Shaomin Wu has considerable experience in a range of research areas, and hisresearch has received a good number of citations.

See his website for more details.

Teaching

Professor Shaomin Wu has teaching experience in various subjects Statistical Data Analysis, Data Mining, and Risk Management in higher education institutions. He is currently teaching statistics and data mining.

Supervision

Shaomin is interested in Applied Stochastic Processes, Statistical Data Analysis, Data Mining, and Risk Management.

He welcomes applicants with a background relating to computing sciences or mathematical sciences

Supervision topics

  • Big data analytics and applications in industrial engineering
  • Warranty management and asset management related topics
  • Recurrent event data analytics such as actuarial/warranty data analysis
  • Reliability mathematics and relevant topics
  • Data mining and applications in industrial engineering

Current Supervisees

  • Ahmed Aljazea: The Impact of Big Data on Warranty Management
  • Yu Ye: Research on the Development of Performance Management System Based on the Performance Generating Process
  • Jinhao Xie: Managing risk and uncertainty of extended warranty servicing

Past supervisees

  • Bin Liu: Reliability analysis and maintenance optimisation for complex systems (Bin is a visiting PhD student from The City University of Hong Kong)
  • Sheraz Malik: Optimising supermarket promotions of fast moving consumer goods using disaggregated sales data: A case study of Tesco and their small and medium sized suppliers (University of Kent)
  • Martyn Davies: Modelling Fireside Corrosion of Heat Exchanger
  • Yanhong Tang: Transboundary environmental risk management based on multi-network collaborative theory
  • Yi Zheng: Theory and Action Research on a new Framework and Approach of Performance Management
  • Mohammad Asgaryan: Prediction of the remaining service life of superheater and reheater tubes in coal/biomass fired power plants (Cranfield University)
  • Ming Luo: Learning from the Actuarial Science Modeling Methods to Improve Warranty Data Analysis

Professional

Professor Wu was a senior data analyst for a company in Shanghai after his PhD graduation. He subsequently sought new experiences and moved to the UK for a postdoctoral research position in machine learning from University of Bristol, where he gained expertise through research and industrial projects, and then a research position in reliability analysis and risk management at the University of Reading.

After a short spell in a credit card company, of which the responsibilities in statistical data analysis is worthy of mention, he moved to Cranfield University for a lecturer position in risk and decision analysis in July 2007 and then was appointed as senior lecturer in July 2012.

Publications

Also view these in the Kent Academic Repository

Article

  • Wu, S. (2018). Doubly geometric processes and applications. Journal of the Operational Research Society [Online] 69:66-77. Available at: http://dx.doi.org/10.1057/s41274-017-0217-4.
  • Aljazea, A. and Wu, S. (2018). Managing Risk for Auto Warranties. International Journal of Quality & Reliability Management [Online]. Available at: http://dx.doi.org/10.1108/IJQRM-08-2018-0221.
  • Luo, M. and Wu, S. (2018). A mean-variance optimisation approach to collectively pricing warranty policies. International Journal of Production Economics [Online] 196:101-112. Available at: https://doi.org/10.1016/j.ijpe.2017.11.013.
  • Wu, S. (2018). A failure process model with the exponential smoothing of intensity functions. European Journal of Operational Research [Online]. Available at: https://doi.org/10.1016/j.ejor.2018.11.045.
  • Wu, S. and Wang, G. (2018). The semi-geometric process and some properties. IMA Journal of Management Mathematics [Online] 29:229-245. Available at: https://doi.org/10.1093/imaman/dpx002.
  • Liu, B. et al. (2017). A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost. European Journal of Operational Research [Online] 263:879-887. Available at: http://dx.doi.org/10.1016/j.ejor.2017.05.006.
  • Dui, H. et al. (2017). An importance measure for multistate systems with external factors. Reliability Engineering and System Safety [Online] 167:49-57. Available at: http://dx.doi.org/10.1016/j.ress.2017.05.016.
  • Ahmadi, R. and Wu, S. (2017). A novel data-driven approach to optimizing replacement policy. Reliability Engineering and System Safety [Online] 167:506-516. Available at: http://dx.doi.org/10.1016/j.ress.2017.06.027.
  • Wu, X. and Wu, S. (2017). An elitist quantum-inspired evolutionary algorithm for the flexible job-shop scheduling problem. Journal of Intelligent Manufacturing [Online] 28:1441-1457. Available at: http://dx.doi.org/10.1007/s10845-015-1060-6.
  • Wu, S. and Scarf, P. (2017). Two new stochastic models of the failure process of a series system. European Journal of Operational Research [Online] 257:763-772. Available at: http://dx.doi.org/10.1016/j.ejor.2016.07.052.
  • Luo, M. and Wu, S. (2017). A value-at-risk approach to optimisation of warranty policy. European Journal of Operational Research [Online] 267:513-522. Available at: https://doi.org/10.1016/j.ejor.2017.11.062.
  • Wu, Q. and Wu, S. (2016). Optimization of replacement policy for a one-component system subject to Poisson shocks. International Journal of Systems Science [Online] 3:114-127. Available at: http://dx.doi.org/10.1080/23302674.2015.1066898.
  • Wu, S., Coolen, F. and Liu, B. (2016). Optimization of maintenance policy under parameter uncertainty using portfolio theory. IISE Transactions [Online] 49:711-721. Available at: http://dx.doi.org/10.1080/24725854.2016.1267881.
  • Wu, S. et al. (2016). Linking component importance to optimisation of preventive maintenance policy. Reliability Engineering and System Safety [Online] 146:26-32. Available at: http://dx.doi.org/10.1016/j.ress.2015.10.008.
  • Wu, S. and Scarf, P. (2015). Decline and repair, and covariate effects. European Journal of Operational Research [Online] 244:219-226. Available at: http://dx.doi.org/10.1016/j.ejor.2015.01.041.
  • Asgaryan, M., Simms, N. and Wu, S. (2014). Prediction of the Remaining Service Life of Superheater and Reheater Tubes in Coal-Biomass Fired Power Plants. Advanced Materials Research [Online] 856:343-348. Available at: http://dx.doi.org/10.4028/www.scientific.net/AMR.856.343.
  • Chen, Y. et al. (2014). Quantitative modelling of electricity consumption using computational intelligence aided design. Journal of Cleaner Production [Online] 69:143-152. Available at: http://dx.doi.org/10.1016/j.jclepro.2014.01.058.
  • Wu, S. (2014). Construction of asymmetric copulas and its application in two-dimensional reliability modelling. European Journal of Operational Research [Online] 238:476-485. Available at: http://dx.doi.org/10.1016/j.ejor.2014.03.016.
  • Wang, W. and Wu, S. (2014). An Inspection Model Subject to Small Stoppages and Hard Failures. Quality Technology and Quantitative Management [Online] 11:255-264. Available at: http://web.it.nctu.edu.tw/~qtqm/upcomingpapers/2014V11N3/2014V11N3_F3.pdf.
  • Wu, S. (2014). Warranty return policies for products with unknown claim causes and their optimisation. International Journal of Production Economics [Online] 156:52-61. Available at: http://www.sciencedirect.com/science/article/pii/S0925527314001790.
  • Wu, S. and Coolen, F. (2013). A Cost-based Importance Measure for System Components: An Extension of the Birnbaum Importance. European Journal of Operational Research [Online] 225:189-195. Available at: http://dx.doi.org/10.1016/j.ejor.2012.09.034.
  • Chen, Y. et al. (2013). Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function. Energies [Online] 6:3082-3096. Available at: http://dx.doi.org/10.3390/en6063082.
  • Wu, S. (2013). A Review on Coarse Warranty Data and Analysis. Reliability Engineering and System Safety [Online] 114:1-11. Available at: http://dx.doi.org/10.1016/j.ress.2012.12.021.
  • Akbarov, A. and Wu, S. (2013). Warranty Claims Data Analysis Considering Sales Delay. Quality and Reliability Engineering International [Online] 29:113-123. Available at: http://dx.doi.org/10.1002/qre.1302.
  • Tang, Y. et al. (2013). Resilience to evolving drinking water contamination risks: a human error prevention perspective. Journal of Cleaner Production [Online] 57:228-237. Available at: http://dx.doi.org/10.1016/j.jclepro.2013.06.018.
  • Wu, G. et al. (2013). Machine learning models for predicting PAHs bioavailability in compost amended soils. Chemical Engineering Journal [Online] 223:747-754. Available at: http://dx.doi.org/10.1016/j.cej.2013.02.122.
  • Akbarov, A. and Wu, S. (2012). Forecasting Warranty Claims Considering Dynamic Over-Dispersion. International Journal of Production Economics [Online] 139:615-622. Available at: http://dx.doi.org/10.1016/j.ijpe.2012.06.001.
  • Wu, S. (2012). Warranty Data Analysis: A Review. Quality and Reliability Engineering International [Online] 28:795-805. Available at: http://dx.doi.org/10.1002/qre.1282.
  • Chen, Y. et al. (2012). Uncertainty Analysis for Multi-state Weighted Behaviours of Rural Area with Carbon Dioxide Emission Estimation. Applied Soft Computing [Online] 12:2631-2637. Available at: http://dx.doi.org/10.1016/j.asoc.2012.04.014.
  • Wu, S. and Akbarov, A. (2012). Forecasting Warranty Claims for Recently Launched Products. Reliability Engineering and System Safety [Online] 106:160-164. Available at: http://dx.doi.org/10.1016/j.ress.2012.06.008.
  • Wu, S. (2012). Assessing Maintenance Contracts when Preventive Maintenance is Outsourced. Reliability Engineering and System Safety [Online] 98:66-72. Available at: http://dx.doi.org/10.1016/j.ress.2011.10.004.
  • Akbarov, A. and Wu, S. (2012). Warranty Claim Forecasting Based On Weighted Maximum Likelihood Estimation. Quality and Reliability Engineering International [Online] 28:663-669. Available at: http://dx.doi.org/10.1002/qre.1399.
  • Wu, Q. and Wu, S. (2011). Reliability Analysis of Two-unit Cold Standby Repairable Systems under Poisson Shocks. Applied Mathematics and Computation [Online] 218:171-182. Available at: http://dx.doi.org/10.1016/j.amc.2011.05.089.
  • Wu, S. and Longhurst, P. (2011). Optimising Age-Replacement and Extended Non-Renewing Warranty Policies in Lifecycle Costing. International Journal of Production Economics [Online] 130:262-267. Available at: http://dx.doi.org/10.1016/j.ijpe.2011.01.007.
  • Wu, S. (2011). Optimal Inspection Policy for Three-state Systems Monitored by Variable Sample Size Control Charts. International Journal of Advanced Manufacturing Technology [Online] 55:689-697. Available at: http://dx.doi.org/10.1007/s00170-010-3091-7.
  • Wu, S. and Wang, W. (2011). Optimal Inspection Policy for Three-state Systems Monitored by Control Charts. Applied Mathematics and Computation [Online] 217:9810-9819. Available at: http://dx.doi.org/10.1016/j.amc.2011.04.075.
  • Wu, S. (2011). Warranty Claim Analysis Considering Human Factors. Reliability Engineering and System Safety [Online] 96:131-138. Available at: http://doi.org/10.1016/j.ress.2010.07.010.
  • Wu, S. and Akbarov, A. (2011). Support Vector Regression for Warranty Claim Forecasting. European Journal of Operational Research [Online] 213:196-204. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-79955623947&partnerID=40&md5=db162ce6f69338e6d0a2a1f948c31d8a.
  • Wu, S. and Noy, P. (2010). A Conceptual Design of a Wireless Sensor Actuator System for Optimizing Energy and Well-being in Buildings. Intelligent Buildings International [Online] 2:41-56. Available at: http://dx.doi.org/10.3763/inbi.2009.0032.
  • Wu, S. et al. (2010). Reviews and case studies: Research opportunities in maintenance of office building services systems. Journal of Quality in Maintenance Engineering [Online] 16:23-33. Available at: http://dx.doi.org/10.1108/13552511011030309.
  • Wu, S. and Zuo, M. (2010). Linear and Nonlinear Preventive Maintenance Models. IEEE Transactions on Reliability [Online] 59:242-249. Available at: http://dx.doi.org/10.1109/TR.2010.2041972.
  • Jia, J. and Wu, S. (2009). Optimizing replacement policy for a cold-standby system with waiting repair times. Applied Mathematics and Computation [Online] 214:133-141. Available at: http://dx.doi.org/10.1016/j.amc.2009.03.064.
  • Wu, S. et al. (2009). A role for human reliability analysis (HRA) in preventing drinking water incidents and securing safe drinking water. Water Research [Online] 43:3227-3238. Available at: http://dx.doi.org/10.1016/j.watres.2009.04.040.
  • Jia, J. and Wu, S. (2009). A replacement policy for a repairable system with its repairman having multiple vacations. Computers and Industrial Engineering [Online] 57:156-160. Available at: http://dx.doi.org/10.1016/j.cie.2008.11.003.
  • Chan, L. and Wu, S. (2009). Optimal design for inspection and maintenance policy based on the CCC chart. Computers and Industrial Engineering [Online] 57:667-676. Available at: http://dx.doi.org/10.1016/j.cie.2008.12.009.
  • Zhang, Y. and Wu, S. (2009). Reliability Analysis for a k / n (F) System with Repairable Repair-Equipment. Applied Mathematical Modelling [Online] 33:3052-3067. Available at: http://dx.doi.org/10.1016/j.apm.2008.10.022.
  • Wu, S. and Xie, M. (2008). Warranty Cost Analysis for Nonrepairable Services Products. International Journal of Systems Science [Online] 39:279-288. Available at: http://dx.doi.org/10.1080/00207720701792198.
  • Wu, S. and Xie, M. (2007). Classifying Weak, and Strong Components using ROC Analysis with Application to Burn-in. IEEE Transactions on Reliability [Online] 56:552-561. Available at: http://dx.doi.org/10.1109/TR.2007.897073.
  • Wu, S. and Clements-Croome, D. (2007). Understanding the Indoor Environment through Mining Sensory Data - A Case Study. Energy and Buildings [Online] 39:1183-1191. Available at: http://dx.doi.org/10.1016/j.enbuild.2006.07.011.
  • Wu, S. and Li, H. (2007). Warranty Cost Analysis for Products with a Dormant State. European Journal of Operational Research [Online] 182:1285-1293. Available at: http://dx.doi.org/10.1016/j.ejor.2006.09.056.
  • Wu, S. and Clements-Croome, D. (2007). Ratio of Operating and Maintenance Costs to Initial Costs of Building Services Systems. Cost Engineering 49:30-33.
  • Wu, S. and Clements-Croome, D. (2007). Burn-in Policies for Products Having Dormant States. Reliability Engineering and System Safety [Online] 92:278-285. Available at: http://dx.doi.org/10.1016/j.ress.2006.04.003.
  • Wu, S. et al. (2006). Reliability in the Whole Life Cycle of Building Systems. Engineering, Construction and Architectural Management [Online] 13:136-153. Available at: http://dx.doi.org/10.1108/09699980610659607.
  • Wu, S. and Clements-Croome, D. (2006). A Novel Repair Model for Imperfect Maintenance. IMA Journal of Management Mathematics [Online] 17:235-243. Available at: https://doi.org/10.1093/imaman/dpi036.
  • Wu, S. (2005). Joint Importance of Multistate Systems. Computers and Industrial Engineering [Online] 49:63-75. Available at: http://dx.doi.org/10.1016/j.cie.2005.02.001.
  • Wu, S. and Clements-Croome, D. (2005). Preventive Maintenance Models with Random Maintenance Quality. Reliability Engineering and System Safety [Online] 90:99-105. Available at: http://dx.doi.org/10.1016/j.ress.2005.03.012.
  • Wu, S. and Clements-Croome, D. (2005). Optimal Maintenance Policies Under Different Operational Schedules. IEEE Transactions on Reliability [Online] 54:338-346. Available at: http://dx.doi.org/10.1109/TR.2005.847255.
  • Wu, S. and Chan, L. (2003). Performance Utility-Analysis of Multi-State Systems. IEEE Transactions on Reliability [Online] 52:14-21. Available at: http://dx.doi.org/10.1109/TR.2002.805783.
  • Wu, S., Feng, J. and Chen, Y. (2002). A Practical Data Mining System. Metallurgical Industry Automation 26:6-10.
  • Wu, S. (2002). A Practical Data Miner. Baosteel Technology 26:6-10.
  • Wu, S. and Feng, J. (2001). Data Mining and its Application to Quality Control. Metallurgical Industry Automation 25:5-8.
  • Wu, S. and Feng, J. (2001). A Baosteel Data Miner System. Baosteel Technology 83:43-47.
  • Wu, S. and Li, H. (2000). Application of Statistical Process Control to Quality Management. Baosteel Technology 82:52-55.
  • Wu, S. (2000). Stability and Limit Cycle Analysis of Non-linear AR Models. Control and Decision 15:305-308.
  • Wu, S., Huang, R. and Wan, D. (1995). A Method of Identification of Exponential Auto-Regressive Models. Information and Control 24:395-398.
  • Wu, S., Huang, R. and Wan, D. (1995). A Detective Identification of Non-Linear Time Series Models. Journal of Southeast University 25:1-5.
  • Wu, S., Wan, D. and Huang, R. (1995). Function Process and Reliability Analysis of a Two-dependent-unit System. Microelectronics Reliability [Online] 35:743-747. Available at: http://dx.doi.org/10.1016/0026-2714(95)93183-B.
  • Wu, S., Huang, R. and Wan, D. (1995). Identification of Time Series of Gyroscope Random Drift. Journal of Applied Sciences 13:452-456.

Conference or workshop item

  • Aljazea, A., Luo, M. and Wu, S. (2018). Mitigating Warranty Risk for Automotive Industry. in: Scarf, P., Wu, S. and Do, P. eds. 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability. UK, p. 19 to 24. Available at: https://doi.org/10.19124/ima.2018.001.04.
  • Ahmadi, R. and Wu, S. (2018). An optimal maintenance policy based on partial information. in: Haugen, S. et al. eds. The annual European Safety and Reliability Conference 2018. London, UK: CRC Press, pp. 511-518.
  • Wu, S. and Luo, M. (2017). Optimisation of warranty policy considering the interplay of product subsystems. in: The 10th international conference on mathematical methods in reliability.. Available at: http://mmr2017.imag.fr/invited_sessions/.
  • Wu, S. (2017). Three models for the failure process of a repairable system. in: The 10th international conference on mathematical methods in reliability.. Available at: http://mmr2017.imag.fr/invited_sessions/.
  • Wu, S., Gitzel, R. and Turrin, S. (2016). On assumptions in optimisation of warranty policies. in: The 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability.
  • Gitzel, R. et al. (2016). A Data Quality Metrics Hierarchy for Reliability Data. in: the 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability.
  • Rahimi, M., Rausand, M. and Wu, S. (2011). Reliability prediction of offshore oil and gas equipment for use in an arctic environment. in: 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE).. Available at: http://dx.doi.org/10.1109/ICQR2MSE.2011.5976574.
  • Bazrafshan, M., Nikghadam, S. and Wu, S. (2011). Increasing Availability of Production Systems in Robust Layouts via Assignment of Maintenance Resources. in: IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, pp. 1519-1523. Available at: http://dx.doi.org/10.1109/IEEM.2011.6118171.
  • Wu, S. (2011). Warranty Claim Analysis for Nonrepairable Items Considering Human Factors. in: International Conference on Mathematical Methods in Reliability: Theory, Methods, Applications (MMR2011).
  • Wu, S. and Clements-Croome, D. (2007). Estimating the relationship among occupant behaviours and indoor environmental parameters using Bayesian networks. in: Wu, S. ed. Proceedings of Clima 2007 WellBeing Indoors.. Available at: http://www.irbnet.de/daten/iconda/CIB7980.pdf.
  • Tams, G., Clements-Croome, D. and Wu, S. (2007). The Use of Wireless Data Communication and Body Sensing Devices to Evaluate Occupants' Comfort in Buildings. in: Clima 2007 WellBeing Indoors.
  • Wu, S. and Wang, W. (2007). A Life Cycle Cost Model for Repairable Systems. in: 6th International Conference on Modelling in Industrial Maintenance and Reliability.
  • Wu, S., Flach, P. and Ferri, C. (2007). An Improved Model Selection Heuristic for AUC. in: 18th European Conference on Machine Learning, ECML 2007. Warsaw: Springer, pp. 478-489. Available at: http://dx.doi.org/10.1007/978-3-540-74958-5.
  • Wu, S. and Wang, W. (2007). Minimising average long-run cost for systems monitored by the np control chart. in: 6th IMA Conference on Modelling in Industrial maintenance and Reliability.
  • Flach, P. and Wu, S. (2005). Repairing Concavities in ROC Curves. in: IJCAI 05: Nineteenth International Joint Conference on Artificial Intelligence.. Available at: http://www.ijcai.org/papers/0652.pdf.
  • Wu, S. and Clements-Croome, D. (2005). Critical Reliability Issues for Building Services Systems. in: Fourth International Conference on Quality and Reliability. pp. 559-566.
  • Wu, S. and Flach, P. (2005). Scored AUC Metrics for Classifier Evaluation and Selection. in: Second Workshop on ROC Analysis in Machine Learning.
  • Wu, S. and Clements-Croome, D. (2005). Burn-in Policies for Products having Dormant States. in: Fourth International Conference on Quality and Reliability. pp. 567-574.
  • Wu, S. et al. (2004). A Novel Repair Model for Imperfect Maintenance. in: 5th International Conference on Modelling Industrial Maintenance and Reliability.
  • Flach, P. and Wu, S. (2003). Reparing Concavities in ROC Curves. in: Proc. 2003 UK workshop on Computational Intelligence (UKCI'03). pp. 38-44.
  • Wu, S. and Flach, P. (2002). Model Selection for Dynamic Processes. in: 2nd International Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning.. Available at: http://kt.ijs.si/branko_kavsek/IDDM-2002_proceedings/WuMS.pdf.

Book

  • Clements-Croome, D., Wu, S. and John, G. (2007). High-quality building services. The University of Reading.

Book section

  • Wu, S. (2011). Preventive Maintenance Models: A Review. in: Tadj, L. et al. eds. Replacement Models with Minimal Repair. London: Springer.
  • Flach, P. et al. (2003). On the Road to Knowledge: Mining 21 Years of UK Traffic Accident Report. in: Data Mining and Decision Support: Integration and Collaboration. Kluwer Academic Publishing. Available at: https://research-information.bristol.ac.uk/en/publications/on-the-road-to-knowledge-mining-21-years-of-uk-traffic-accident-reports(7d66b191-162b-442d-b82d-1d9b5e7a5eb5)/export.html.

Confidential report

  • Longhurst, P. et al. (2009). Risk assessment for the use of source-segregated composts in UK agriculture. Report prepared for the Waste and Resources Action Programme (WRAP).

Edited book

  • Scarf, P., Wu, S. and Do, P. eds. (2018). Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability. [Online]. Institute of Mathematics & its Applications. Available at: https://doi.org/10.19124/ima.2018.001.

Edited journal

  • Wu, S. and Do, P. eds. (2017). Maintenance Modelling. Reliability Engineering & System Safety [Online] 168:1-364. Available at: https://doi.org/10.1016/j.ress.2017.09.004.
  • Wang, W. and Wu, S. eds. (2017). Guest Editorial. IMA Journal of Management Mathematics [Online] 28:339-466. Available at: https://academic.oup.com/imaman/issue/28/3.
  • Wang, W. et al. (2015). Guest editorial: Mathematical Applications to Reliability and Maintenance Problems in Engineering Systems. Mathematical Problems in Engineering [Online] 2015:1-2. Available at: http://downloads.hindawi.com/journals/mpe/aa/629497.pdf.
  • Wang, W., Scarf, P. and Wu, S. (2012). Guest editorial: Special issue on selected papers from the 7th IMA International Conference on Modelling in Industrial Maintenance and Reliability. Quality and Reliability Engineering International [Online] 28:575-576. Available at: http://dx.doi.org/10.1002/qre.1463.

Research report (external)

  • Chadwick, P. et al. (2012). SERVICEABILITY METHODOLOGIES (Report Ref. No. 12/RG/01/4). [Online]. UK Water Industry Research Limited. Available at: https://ukwir.co.uk/reports/12-RG-01-4/66903/Serviceability-Methodologies.

Forthcoming

  • Zhang, G. et al. (2017). Intelligent Swarm Firefly Algorithm for the Prediction of China's National Electricity Consumption. International Journal of Bio-Inspired Computation.
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