Publications

Below is a list of selected publications by researchers at the OSCAResearch Centre. These researchers are from three faculties and schools at Toronto Metropolitan University.

Selected journal articles

Najafi, M., & Zolfagharinia, H. (2024). A Multi-Objective Integrated Approach to Address Sustainability in a Meat Supply Chain. Omega: The International Journal of Management Science, 124(103011).
Long, G., Nikoofal, M.E., and Zhang, W. (2024). The strategic role of supplier learning. Manufacturing & Service Operations Management 26.1: 271-290.
Sharifi, E., Amin, S. H., Fang, L. (2024). Designing a Sustainable, Resilient, and Responsive Wheat Supply Chain Under Uncertainty and Disruption: A Multi-Objective Approach. Journal of Cleaner Production, 434, 140076.
Bolghanabadi, S., Haghighi, A., & Jahangiri, M. (2024). Insights into Women’s Occupational Health and Safety: A Decade in Review of Primary Data Studies. Safety, 10(2), 47.
Vassyukova, D., Hillebrandt, A., Zolfagharinia, H., & Haghighi, A. (2024). Steering towards the unknown: The wellbeing of long-haul truck drivers during the Covid-19 pandemic. Safety Science, 171, 106393.
Moradi, R., Yazdi, M., Haghighi, A., & Nedjati, A. (2024). Sustainable Resilient E-Waste Operation Management: Consolidating Perspective of Circular Economy. Heliyon.
Nikoofal, M.E., Pourakbar, M., and Gumus, M. (2023). Securing containerized supply chain through public and private partnership. Production and Operations Management, 32.7 (2023): 2341-2361.
Amiri, A., Zolfagharinia, H., & Amin, S.H. (2023). A Robust Multi-Objective Routing Problem for Heavy-duty Electric Trucks with Uncertain Energy Consumption. Computers & Industrial Engineering. 178: 109108.
Najafi, M., & Zolfagharinia, H. (2022). No Longer in the Dark: Utilizing Imperfect Advance Load Information for Single-Truck Operators. Transportation Science. 56(6): 1409-1722.
Yang, X., Joukova, A., Zihayat, M., Ayanso, A. (2022). Social Influence-based Contrast Language Analysis Framework for Clinical Decision Support Systems. Decision Support Systems, 13813.
Filieri, R., Lin, Z., Li, Y., Lu, X., Yang, X. (2022). Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach. Journal of Service Research, 25 (4).
Palanichamy, Y., Kargar, M., & Zolfagharinia, H. (2021). Unearthing Trends in Environmental Science and Engineering Research: Insights from a Probabilistic Topic Modeling Literature Analysis. Journal of Cleaner Production. 317: 128322.
Mohebalizadeh, F., Zolfagharinia, H., & Amin, S.H. (2020). Designing a Green Meat Supply Chain Network: A Multi-objective Approach. International Journal of Production Economics. 219(1): 312-327.
Yang, X., Robee Ongb, L., Zihayatb, M., McEwen, R. (2020), A Big Data Analytics Framework for Detecting User-level Depression from Social Networks. International Journal of Information Management, 54:102141.
Nikoofal, M.E., and Gumus, M. (2019), Supply diagnostic incentives under endogenous information asymmetry. Production and Operations Management 28.3: 588-609.
Nikoofal, M.E., and Gumus, M. (2018), Quality at the source or at the end? Managing supplier quality under information asymmetry. Manufacturing & Service Operations Management 20.3: 498-516.
Zolfagharinia, H., Haughton M. (2018). The importance of considering non-linear layover and delay costs for local truckers. Transportation Research Part E: Logistics and Transportation Review 109, 331-355.

Google Scholar profiles

For a complete list of their work, please visit their individual Google Scholar pages.

Ted Rogers School of Management

Mechanical, Industrial, and Mechatronics Engineering Department

Dr. Hassanzadeh Amin (external link, opens in new window)

School of Occupational and Public Health

Dr. Haghighi (external link, opens in new window)

Books and book chapters

Ian Li, H., Yazdi, M., Nedjati, A., Moradi, R., Adumene, S., Dao, U., Moradi, A., Haghighi, A., Obeng, F.E., Huang, C.G. and Kang, H.S. (2024). Harnessing AI for Project Risk Management: A Paradigm Shift. In Progressive Decision-Making Tools and Applications in Project and Operation Management: Approaches, Case Studies, Multi-criteria Decision-Making, Multi-objective Decision-Making, Decision under Uncertainty (pp. 253-272). Cham: Springer Nature Switzerland.
Husna, A., Amin, S. H., & Shah, B. (2021). Demand Forecasting in Supply Chain Management Using Different Deep Learning Methods. In Taghipour, A. (Ed.), Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics (pp. 140-170). IGI Global. http://doi:10.4018/978-1-7998-3805-0.ch005.
Pant, M., Sharma, T.K., Arya, R., B.C, S. & Zolfagharinia, H. (2020). Soft Computing: Theories and Applications (external link, opens in new window) , Proceedings of SoCTA 2019. Springer Singapore.
Hassanzadeh, A., Mohseninezhad, L., Tirdad, A., Dadgostari., F., Zolfagharinia, H. (2009). Location-Routing Problem. FACILITIES LOCATION: Concepts, Models, Algorithms and Case Studies (external link, opens in new window) . 395-417. Published, Physica-Verlag HD.

Recent conference papers and/or presentations

Presenter	Year	Title & location
Dr. Zolfagharinia	2024	A Robust Routing Problem for Heavy-Duty Electric Trucks in the Face of Energy Uncertainty. The 65th Annual Meeting of the Canadian Operational Research Society (CORS), London, Canada
	2024	Beyond the Basics: Addressing Consumers’ Preferences and Choices in Pricing and Policy Making for Extended Warranty Services. Administrative Sciences Association of Canada (ASAC), Montreal, Canada
	2023	Green Product Development in Light of Government Subsidies. The 64th Annual Meeting of the Canadian Operational Research Society (CORS), Montreal, Canada.
	2023	A Multi-Objective Stochastic Model to Design a Resilient Food Supply Chain under Disruption Risks. Administrative Sciences Association of Canada (ASAC), Toronto, Canada.
	2023	Investigation of a Competitive Transport Market Considering Demand Uncertainty and Risk Attitude of Shipping Companies. 29th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management, Lisbon, Portugal.
	2022	A Production Planning and Distribution Problem for a Sustainable Meat Supply Chain. 21st International Symposium on Inventories, Budapest, Hungary.
Dr. Amin	2023	Supplier Selection and Order Allocation Using a Multi-objective Model, Integrated with Machine Learning Methods, 2023 INFORMS ANNUAL MEETING, Phoenix, Arizona, USA.
Dr. Haghighi	2024	Exploring Emerging Technologies for Occupational Health and Safety Process Improvement. NEDSI 2024 Conference, Cambridge, United States of America
	2024	Unmasking Risk Factors for Truck Driver Safety- A Systematic Literature Review. International Conference on Occupational Safety and Health at Work (ICOSHW), Toronto, Canada
	2022	Managing the risk of bypassing safeguards on industrial machinery. Webinar- Institute for Work & Health (IWH) Speaker Series, Toronto, Canada
Dr. Yang	2024	Advancing Depression Diagnosis and Treatment: Integrating Machine Learning with Social Media Data, International Conference on Big-data Service and Intelligent Computation. Hongkong, China
	2022	Emotional Influence Analysis for Depression Detection, CORS/INFROMS. Vancouver, Canada
	2021	Contrast Language Analysis of Users with Depression: A Social Network Based Approach, INFORMS. Seattle, US