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Dr Paul Wang
Teams and roles for Paul Wang
Reader in Operations Management and Management Science
Reader
Overview
Dr Xun Wang is a Senior Lecturer of Operations Management and Management Science at Cardiff Business School, where he teaches MSc and MBA courses on operations analysis and logistics modelling.
Currently his research interest is on modelling and analysis of complex dynamics in inventory and supply chain management. His research articles have been published in International Journal of Production Economics, European Journal of Operational Research and Computers & Industrial Engineering.
Xun received his PhD from Beihang University, China in 2013. Prior to this post he held a position of Lecturer in Logistics Management at Beijing Jiaotong University, China.
Publication
2026
- Zhou, Y. et al. 2026. The impact of design rework on engineer-to-order lead-time dynamics. International Journal of Production Economics 294 109763. (10.1016/j.ijpe.2025.109763)
2024
- Wang, X. et al. 2024. Algorithm aversion during disruptions: The case of safety stock. International Journal of Production Economics 278 109442. (10.1016/j.ijpe.2024.109442)
- Petropulos, F. et al., 2024. Operational research: methods and applications. Journal of the Operational Research Society 75 (3), pp.423-617. (10.1080/01605682.2023.2253852)
2023
- Mogale, D. G. et al. 2023. Modelling and analysing supply chain disruption: A case of online grocery retailer. Operations Management Research 16 (4), pp.1901-1924. (10.1007/s12063-023-00405-9)
- Zhou, Y. et al. 2023. The system dynamics of engineer-to-order construction projects: past, present, and future. Journal of Construction Engineering and Management 149 (5)(10.1061/JCEMD4.COENG-12926)
- Wang, X. , Disney, S. M. and Ponte, B. 2023. On the stationary stochastic response of an order-constrained inventory system. European Journal of Operational Research 304 (2), pp.543-557. (10.1016/j.ejor.2022.04.020)
2022
- Gaalman, G. , Disney, S. M. and Wang, X. 2022. When bullwhip increases in the lead time: An eigenvalue analysis of ARMA demand. International Journal of Production Economics 250 108623. (10.1016/j.ijpe.2022.108623)
- Zhou, Y. et al. 2022. A system dynamics archetype to mitigate rework effects in engineer-to-order supply chains. International Journal of Production Economics 250 108620. (10.1016/j.ijpe.2022.108620)
- Babai, Z. et al., 2022. Forecasting of lead-time demand variance: implications for safety stock calculations. European Journal of Operational Research 296 (3), pp.846-861. (10.1016/j.ejor.2021.04.017)
2021
- Sanchez Rodrigues, V. et al. 2021. Measurement, mitigation and prevention of food waste in supply chains: an online shopping perspective. Industrial Marketing Management 93 , pp.545-562. (10.1016/j.indmarman.2020.09.020)
- Disney, S. M. , Ponte, B. and Wang, X. 2021. Exploring the nonlinear dynamics of the lost-sales order-up-to policy. International Journal of Production Research 59 (19), pp.5809-5830. (10.1080/00207543.2020.1790687)
2019
- Hedenstierna, C. P. T. et al. 2019. Economies of collaboration in build-to-model operations. Journal of Operations Management 65 (8), pp.753-773. (10.1002/joom.1014)
- Han, W. et al., 2019. Brain imaging and forecasting: insights from judgmental model selection. Omega: The International Journal of Management Science 87 , pp.1-9. (10.1016/j.omega.2018.11.015)
- Wang, X. , Sanchez Rodrigues, V. and Demir, E. 2019. Managing your supply chain pantry: food waste mitigation through inventory control. IEEE Engineering Management Review 47 (2), pp.97-102. (10.1109/EMR.2019.2915064)
- Petropoulos, F. , Wang, X. and Disney, S. M. 2019. The inventory performance of forecasting methods: evidence from the M3-competition data. International Journal of Forecasting 35 (1), pp.251-265. (10.1016/j.ijforecast.2018.01.004)
2018
- Sanchez Rodrigues, V. , Wang, X. and Demir, E. 2018. Ocado salads waste project - A modelling project from Cardiff University. Presented at: Efficient Customer Response Meeting Hamburg, Germany 7 June 2018.
- Gaalman, G. , Disney, S. and Wang, X. 2018. Bullwhip behaviour as a function of the lead-time for the order-up-to policy under ARMA demand. Presented at: 20th International Working Seminar of Production Economics Innsbruck, Austria 19 - 23 February 2018. Vol. 2.
- Sanchez Rodrigues, V. et al. 2018. Food waste in the online grocery supply chain: The case of Ocado’s salads. Presented at: Efficient Customer Response Meeting Lisbon, Portugal 23-24 October 2018.
2017
- Wang, X. and Disney, S. M. 2017. Mitigating variance amplification under stochastic lead-time: the proportional control approach. European Journal of Operational Research 256 (1), pp.151-162. (10.1016/j.ejor.2016.06.010)
- Ponte Blanco, B. et al. 2017. Exploring nonlinear supply chains: The dynamic impact of capacity constraints. International Journal of Production Research 55 (14), pp.4053-4067. (10.1080/00207543.2016.1245884)
2016
- Wang, X. and Disney, S. M. 2016. The bullwhip effect: progress, trends and directions. European Journal of Operational Research 250 (3), pp.691-701. (10.1016/j.ejor.2015.07.022)
- Disney, S. M. et al. 2016. Inventory management for stochastic lead times with order crossovers. European Journal of Operational Research 248 (2), pp.473-486. (10.1016/j.ejor.2015.07.047)
- Wang, X. and Petropoulos, F. 2016. To select or to combine? The inventory performance of model and expert forecasts. International Journal of Production Research 54 (17), pp.5271-5282. (10.1080/00207543.2016.1167983)
- Petropoulos, F. et al. 2016. The inventory performance of forecasting methods: a reanalysis of the M3-competition monthly industry data. Presented at: Logistics and Operations Management Section Annual Conference, Cardiff Business School, Cardiff University Cardiff, Wales, UK 15 January 2016.
2015
- Wang, X. and Disney, S. M. 2015. Reducing order and inventory variability under stochastic lead-time and correlated demand. Presented at: 6th IESM Conference Seville, Spain 21 - 23 October 2015.
2014
- Disney, S. M. and Wang, X. 2014. Research Briefing: Supply chain chaos. Cardiff University.
- Wang, X. , Disney, S. M. and Wang, J. 2014. Exploring the oscillatory dynamics of a forbidden returns inventory system. International Journal of Production Economics 147 (A), pp.3-12. (10.1016/j.ijpe.2012.08.013)
2012
- Wang, X. and Disney, S. M. 2012. Exact safety stock solutions with stochastic lead-times. Presented at: INFORMS 2012 International Beijing, China 24-27 June 2012.
- Wang, X. , Disney, S. M. and Wang, J. 2012. Stability analysis of constrained inventory systems with transportation delay. European Journal of Operational Research 223 (1), pp.86-95. (10.1016/j.ejor.2012.06.014)
2011
- Wang, X. and Disney, S. M. 2011. Stability analysis of a constrained inventory system. Presented at: 21st International Conference on Production Research : Innovation in Product and Production Stuttgart, Germany 31 July - 4 August 2011. Published in: Spath, D. and Ilg, R. eds. 21st International Conference on Production Research (ICPR 21) Conference Proceedings. Fraunhofer Verlag
Articles
- Zhou, Y. et al. 2026. The impact of design rework on engineer-to-order lead-time dynamics. International Journal of Production Economics 294 109763. (10.1016/j.ijpe.2025.109763)
- Wang, X. et al. 2024. Algorithm aversion during disruptions: The case of safety stock. International Journal of Production Economics 278 109442. (10.1016/j.ijpe.2024.109442)
- Petropulos, F. et al., 2024. Operational research: methods and applications. Journal of the Operational Research Society 75 (3), pp.423-617. (10.1080/01605682.2023.2253852)
- Mogale, D. G. et al. 2023. Modelling and analysing supply chain disruption: A case of online grocery retailer. Operations Management Research 16 (4), pp.1901-1924. (10.1007/s12063-023-00405-9)
- Zhou, Y. et al. 2023. The system dynamics of engineer-to-order construction projects: past, present, and future. Journal of Construction Engineering and Management 149 (5)(10.1061/JCEMD4.COENG-12926)
- Wang, X. , Disney, S. M. and Ponte, B. 2023. On the stationary stochastic response of an order-constrained inventory system. European Journal of Operational Research 304 (2), pp.543-557. (10.1016/j.ejor.2022.04.020)
- Gaalman, G. , Disney, S. M. and Wang, X. 2022. When bullwhip increases in the lead time: An eigenvalue analysis of ARMA demand. International Journal of Production Economics 250 108623. (10.1016/j.ijpe.2022.108623)
- Zhou, Y. et al. 2022. A system dynamics archetype to mitigate rework effects in engineer-to-order supply chains. International Journal of Production Economics 250 108620. (10.1016/j.ijpe.2022.108620)
- Babai, Z. et al., 2022. Forecasting of lead-time demand variance: implications for safety stock calculations. European Journal of Operational Research 296 (3), pp.846-861. (10.1016/j.ejor.2021.04.017)
- Sanchez Rodrigues, V. et al. 2021. Measurement, mitigation and prevention of food waste in supply chains: an online shopping perspective. Industrial Marketing Management 93 , pp.545-562. (10.1016/j.indmarman.2020.09.020)
- Disney, S. M. , Ponte, B. and Wang, X. 2021. Exploring the nonlinear dynamics of the lost-sales order-up-to policy. International Journal of Production Research 59 (19), pp.5809-5830. (10.1080/00207543.2020.1790687)
- Hedenstierna, C. P. T. et al. 2019. Economies of collaboration in build-to-model operations. Journal of Operations Management 65 (8), pp.753-773. (10.1002/joom.1014)
- Han, W. et al., 2019. Brain imaging and forecasting: insights from judgmental model selection. Omega: The International Journal of Management Science 87 , pp.1-9. (10.1016/j.omega.2018.11.015)
- Wang, X. , Sanchez Rodrigues, V. and Demir, E. 2019. Managing your supply chain pantry: food waste mitigation through inventory control. IEEE Engineering Management Review 47 (2), pp.97-102. (10.1109/EMR.2019.2915064)
- Petropoulos, F. , Wang, X. and Disney, S. M. 2019. The inventory performance of forecasting methods: evidence from the M3-competition data. International Journal of Forecasting 35 (1), pp.251-265. (10.1016/j.ijforecast.2018.01.004)
- Wang, X. and Disney, S. M. 2017. Mitigating variance amplification under stochastic lead-time: the proportional control approach. European Journal of Operational Research 256 (1), pp.151-162. (10.1016/j.ejor.2016.06.010)
- Ponte Blanco, B. et al. 2017. Exploring nonlinear supply chains: The dynamic impact of capacity constraints. International Journal of Production Research 55 (14), pp.4053-4067. (10.1080/00207543.2016.1245884)
- Wang, X. and Disney, S. M. 2016. The bullwhip effect: progress, trends and directions. European Journal of Operational Research 250 (3), pp.691-701. (10.1016/j.ejor.2015.07.022)
- Disney, S. M. et al. 2016. Inventory management for stochastic lead times with order crossovers. European Journal of Operational Research 248 (2), pp.473-486. (10.1016/j.ejor.2015.07.047)
- Wang, X. and Petropoulos, F. 2016. To select or to combine? The inventory performance of model and expert forecasts. International Journal of Production Research 54 (17), pp.5271-5282. (10.1080/00207543.2016.1167983)
- Wang, X. , Disney, S. M. and Wang, J. 2014. Exploring the oscillatory dynamics of a forbidden returns inventory system. International Journal of Production Economics 147 (A), pp.3-12. (10.1016/j.ijpe.2012.08.013)
- Wang, X. , Disney, S. M. and Wang, J. 2012. Stability analysis of constrained inventory systems with transportation delay. European Journal of Operational Research 223 (1), pp.86-95. (10.1016/j.ejor.2012.06.014)
Conferences
- Sanchez Rodrigues, V. , Wang, X. and Demir, E. 2018. Ocado salads waste project - A modelling project from Cardiff University. Presented at: Efficient Customer Response Meeting Hamburg, Germany 7 June 2018.
- Gaalman, G. , Disney, S. and Wang, X. 2018. Bullwhip behaviour as a function of the lead-time for the order-up-to policy under ARMA demand. Presented at: 20th International Working Seminar of Production Economics Innsbruck, Austria 19 - 23 February 2018. Vol. 2.
- Sanchez Rodrigues, V. et al. 2018. Food waste in the online grocery supply chain: The case of Ocado’s salads. Presented at: Efficient Customer Response Meeting Lisbon, Portugal 23-24 October 2018.
- Petropoulos, F. et al. 2016. The inventory performance of forecasting methods: a reanalysis of the M3-competition monthly industry data. Presented at: Logistics and Operations Management Section Annual Conference, Cardiff Business School, Cardiff University Cardiff, Wales, UK 15 January 2016.
- Wang, X. and Disney, S. M. 2015. Reducing order and inventory variability under stochastic lead-time and correlated demand. Presented at: 6th IESM Conference Seville, Spain 21 - 23 October 2015.
- Wang, X. and Disney, S. M. 2012. Exact safety stock solutions with stochastic lead-times. Presented at: INFORMS 2012 International Beijing, China 24-27 June 2012.
- Wang, X. and Disney, S. M. 2011. Stability analysis of a constrained inventory system. Presented at: 21st International Conference on Production Research : Innovation in Product and Production Stuttgart, Germany 31 July - 4 August 2011. Published in: Spath, D. and Ilg, R. eds. 21st International Conference on Production Research (ICPR 21) Conference Proceedings. Fraunhofer Verlag
Monographs
- Disney, S. M. and Wang, X. 2014. Research Briefing: Supply chain chaos. Cardiff University.
Research
Primary research interests
- Bullwhip effect
- Dynamics in production and inventory systems
- Inventory control
Teaching
Teaching commitments
- BST514 - Operations Analysis (MBA)
- BST124 - Logistics Modelling (MSC)
Biography
Qualifications
- PhD entitled "Dynamics of Nonlinear Supply Chain Systems"
- MAdmin in Business Administration
- BAdmin in Business Administration
Honours and awards
- Chinese National Scholarship for Postgraduate Students. Ministry of Education of P.R.C., 2012, Beijing, China.
- Young Scientist Award. 21st International Conference on Production Research, 2011, Stuttgart, Germany.
News articles
Contact Details
[email protected]
+44 29208 75845
Aberconway Building, Room S05, Colum Road, Cathays, Cardiff, CF10 3EU
+44 29208 75845
Aberconway Building, Room S05, Colum Road, Cathays, Cardiff, CF10 3EU
