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Armin Jabbarzadeh

Researcher at École de technologie supérieure

Publications -  93
Citations -  3058

Armin Jabbarzadeh is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Supply chain & Supply chain network. The author has an hindex of 24, co-authored 84 publications receiving 2003 citations. Previous affiliations of Armin Jabbarzadeh include Iran University of Science and Technology & University of Sydney.

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Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application

TL;DR: In this article, a robust network design model for the supply of blood during and after disasters is presented, which can assist in blood facility location and allocation decisions for multiple post-disaster periods.
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Marrying supply chain sustainability and resilience: A match made in heaven

TL;DR: In this paper, a multi-objective optimization model featuring a sustainability performance scoring method and a stochastic fuzzy goal programming approach is developed that can be used to perform a dynamic sustainability tradeoff analysis and design a resiliently sustainable supply chain.
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Resilient and sustainable supply chain design: sustainability analysis under disruption risks

TL;DR: A stochastic bi-objective optimisation model is developed that utilises a fuzzy c-means clustering method to quantify and assess the sustainability performance of the suppliers and determines outsourcing decisions and resilience strategies that minimise the expected total cost and maximise the overall sustainability performance in disruptions.
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Supply chain design for efficient and effective blood supply in disasters

TL;DR: In this paper, a stochastic bi-objective supply chain design model for the efficient (cost minimizing) and effective (delivery time minimizing) supply of blood in disasters is presented.
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Designing a supply chain resilient to major disruptions and supply/demand interruptions

TL;DR: In this paper, a hybrid robust-stochastic optimization model and a Lagrangian relaxation solution method for designing a supply chain resilient to supply/demand interruptions and facility disruptions whose risk of occurrence and magnitude of impact can be mitigated through fortification investments is presented.