Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to
identify, assess, mitigate and monitor unexpected events or conditions which might have an …

This paper reviews recent advances in the field of optimization under uncertainty via a
modern data lens, highlights key research challenges and promise of data-driven …

Background: The supply chain ecosystem is becoming fragile and difficult to manage due to
the complexities in its interlinked functions such as planning, procurement, production …

In this work, we provide an overview of our previously published works on incorporating
demand uncertainty in midterm planning of multisite supply chains. A stochastic …

Supply chain management and optimisation is a critical aspect of modern enterprises and a
flourishing research area. This paper presents a critical review of methodologies for …

A multi-product, multi-stage, and multi-period scheduling model is proposed in this paper to
deal with multiple incommensurable goals for a multi-echelon supply chain network with …

In this paper, we develop a multi-objective stochastic programming approach for supply
chain design under uncertainty. Demands, supplies, processing, transportation, shortage …

A large body of work exists in process industry supply chain optimisation. We describe the
state of the art of research in infrastructure design, modelling and analysis and planning and …

A bicriterion, multiperiod, stochastic mixed‐integer linear programming model to address the
optimal design of hydrocarbon biorefinery supply chains under supply and demand …

These days, instead of develo** and marketing new products in the market, organizations
are shifting towards commercialization. Therefore, open innovation is of much importance in …