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Phone:: (023) 8059 4856
Email:: B.S.S.Onggo@soton.ac.uk

Dr Bhakti Stephan Onggo SFHEA

Associate Professor of Business Analytics

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I am an Associate Professor of Business Analytics at Southampton Business School, the University of Southampton and a member of the Centre for Operational Research, Management Sciences and Information Systems (CORMSIS). I am also a Senior Fellow of the Higher Education Academy, an associate editor of the Journal of Simulation, and the chair of The OR Society‘s Special Interest Group in Simulation.

Previously, I was an Associate Professor of Data Analytics at Trinity Business School, Trinity College Dublin, The University of Dublin, and Assistant Professor in Operational Research at Lancaster University Management School, Lancaster University. My past leadership roles include the Director of Postgraduate Teaching at the Department of Management Science, Lancaster University Management School overseeing MSc programmes in Business Analytics, Management Science and Marketing Analytics, Logistics and Supply Chain Management, e-Business and Innovation, and Project Management. I did my PhD at the National University of Singapore

Member

CORMSIS - Centre for Operational Research, Management Sciences and Information Systems

Member

Department of Decision Analytics and Risk

Research

Responsibilities

Publications

Teaching

Contact

Research interests

My research interests lie in the areas of business analytics using simulation. I am particularly interested in simulation modelling methodology (symbiotic simulation/digital twins, agent-based simulation, discrete-event simulation) with applications in operations and supply chain management (e.g. health and social care, agrifood and disaster risk management) and hybrid modelling (e.g. simheuristic). Currently, I am the associate editor of the Journal of Simulation and the chair of The OR Society's Special Interest Group in Simulation. I am actively involved in the organisation of the Winter Simulation Conference (track coordinator for agent-based simulation since 2018).

PhD Supervision

I am willing to supervise doctoral students in the following areas:

Hybrid modelling: research related to the interface between simulation, optimisation and machine learning.
Research related to improving the practice of simulation modelling methods (agent-based simulation, discrete-event simulation, hybrid simulation, symbiotic simulation)
Topic areas related to the applications of simulation in operations management (e.g. disaster risk management and hospital management) and supply chain management (e.g. agrifood)

As per December 2019, I have supervised eight PhD students (four completed) and examined PhD candidates from universities such as: Brunel, Cranfield, Lancaster, Limerick, Loughborough, Nanyang Technological University, Technical University Dublin, and Warwick.

Research Projects

Relief-OpS: Designing a resilient relief supply network for natural disasters in West Java Indonesia using optimisation-via-simulation (Principle Investigator, EPSRC grant reference number EP/T00360X/1, 2020-2021, £301K)

CREST-OR: Improving Community Resilience and Sustainability Through Operational Research Capacity Building in Southeast Asia (Co-Investigator, EPSRC grant reference number EP/T004002/1, 2020-2021, £263K)

Principle Investigator: Relief-OpS: Designing a resilient relief supply network for natural disasters in West Java Indonesia using optimisation-via-simulation (EPSRC EP/T00360X/1)

Co-Investigator: CREST-OR: Improving Community Resilience and Sustainability Through Operational Research Capacity Building in Southeast Asia (EPSRC EP/T004002/1)

Associate Editor for the Journal of Simulation

The chair of The OR Society's Special Interest Group in Simulation.

Track coordinators for Agent-Based Simulation at the Winter Simulation Conference (2018 – 2022)

Organising committee member of the European Conference on Operational Research 2019 (EURO2019 Dublin)

Programme Leader MSc Business Analytics and Management Sciences (2019 – present)

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Articles

Book Chapters

Onggo, B. S. (2020). Symbiotic simulation system (S3) for Industry 4.0. In M. Gunal (Ed.), Simulation for Industry 4.0: Past, Present, and Future (1 ed.). (Springer Series in Advanced Manufacturing). Springer.
Onggo, B. S., Juan, A. A., Panadero, J., Corlu, C. G., & Agustin, A. (2019). An inventory-routing problem with stochastic demand and stock-out: a solution and risk analysis using Simheuristics. In N. Mustafee, K-HG. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, & Y-J. Son (Eds.), Proceedings of the 2019 Winter Simulation Conference (pp. 1977-1988). (2019 WINTER SIMULATION CONFERENCE (WSC)). IEEE. https://doi.org/10.1109/WSC40007.2019.9004897
Dwiartika, D. N., Putro, U. S., Siallagan, M., Onggo, B. S., & Ichikawa, M. (Ed.) (2017). People’s willingness to donate blood: Agent-based approach. In U. S. Putro, M. Ichikawa, & M. Siallagan (Eds.), Agent-Based Approaches in Economics and Social Complex Systems IX (pp. 15-26). SpringerLink. https://doi.org/10.1007/978-981-10-3662-0
Onggo, B. S. (2017). Social amplification of risk framework: An agent-based approach. In W. Jager, R. Verbrugge, A. Flache, G. de Roo, L. Hoogduin, & C. Hemelrijk (Eds.), Advances in Intelligent Systems and Computing (Vol. 528, pp. 335-339). Springer. https://doi.org/10.1007/978-3-319-47253-9_30
Onggo, B. S. S. (2014). Agent-based simulation model representation using BPMN. In Formal languages for computer simulation: Transdisciplinary Models and Applications (pp. 378-399). IGI Global. https://doi.org/10.4018/978-1-4666-4369-7.ch012
Onggo, B. S. S. (2010). Methods for conceptual model representation. In S. Robinson, R. Brooks, K. Kotiadis, & D-J. Van Der Zee (Eds.), Conceptual Modeling for Discrete-Event Simulation (pp. 337-354). CRC Press.

Conferences

Review

Irawati, D., Onggo, S., & Kennet, M. (2013). Editorial: The green economy for sustainable development in Indonesia - The challenges and opportunities of a multidisciplinary approach. International Journal of Green Economics, 7(1), 1-5. https://www.inderscience.com/info/inarticletoc.php?jcode=ijge&year=2013&vol=7&issue=1

Working Paper

Onggo, S., Hill, J., & Brooks, R. (2013). A pilot survey on data identification and collection in simulation projects. (pp. 77-84). Lancaster University Management School. http://eprints.lancs.ac.uk/65879/

I am a Senior Fellow of the Higher Education Academy. I teach mainly business analytics modules such as Data Analytics, the Foundation of Business Analytics and Consulting, Digital Analytics, Spreadsheet Modelling and Computer Programming for business and management students, and Simulation Modelling (Discrete-Event Simulation, System Dynamics and Agent-Based Simulation).

Dr Bhakti Stephan Onggo
Southampton Business School, University of Southampton, Highfield, Southampton SO17 1BJ, UK

Room Number: 2/4007

Dr Bhakti Stephan Onggo's personal home page

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