Design and Optimization of A Robust Antiviral Mask Supply Chain During The COVID-19 Pandemic: A Multi-Objective Approach
Key finding
A robust multi-objective optimization model configures a resilient antiviral-mask supply chain under uncertainty, balancing economic, environmental, and social objectives.
Abstract
Health care supply chain management is a dynamic process requiring a constant flow of products between producers and consumers. The COVID-19 pandemic (i.e., Coronavirus disease 2019) has led to disruptions in a variety of supply chain networks, particularly in the healthcare industry. This study proposes a flexible optimization model to configure a robust antiviral mask supply chain network (SCN) under uncertainty. The government of Ontario (i.e., a province of Canada) encourages medical supply producers to switch their operations to produce personal protective equipment (e.g., antiviral masks) during the COVID-19 pandemic. On this matter, there are many uncertain parameters (e.g., variable costs, market demands, and capacity levels of facilities) for medical supply producers to be a part of this plan. Furthermore, companies are expected to run their operations based on sustainable manners due to government policies in Ontario. The concept of sustainability includes the economic, environmental, and social pillars. Therefore, the proposed model is extended to a robust multi-objective model to consider multiple objectives under uncertainty. The application of the proposed model is illustrated in the Greater Area Toronto (GTA), Canada.
What this proves at MyantX
Making a good material is only half the challenge; getting it to people resiliently is the other half. This multi-objective optimization study models a robust antiviral-mask supply chain under uncertainty, balancing economic, environmental, and social objectives across the Greater Toronto Area. It reflects the systems-level, concept-to-market thinking behind MyantX as an advanced-materials partner — evidence that our expertise runs from the fiber to the supply chain.
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Cite this paper
Milad Alizadeh-Meghrazi, Babak Mohamadpour Tosarkani, Saman Hassanzadeh Amin, Milos R. Popovic, Payman Ahi. “Design and Optimization of A Robust Antiviral Mask Supply Chain During The COVID-19 Pandemic: A Multi-Objective Approach.” Environment, Development and Sustainability, 2022. https://doi.org/10.1007/s10668-022-02604-z
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