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 …

The urgent desire to relieve the pressure of dependence on petroleum in energy industry
and the growing demand for protection of our environment stimulate the researches and …

We focus on design and planning of a biofuel supply chain (SC) network from biomass to
demand centers where biomass supply is stochastic and seasonal, and facilities' capacity …

This study proposes a novel formulation for designing and managing electric vehicle
charging stations, considering both long-term planning decisions and short-term operational …

Waste management can be considered as a strategic supply chain problem as it involves
the waste generation, collection, separation, transportation, treatment, distribution, and …

This paper studied a collaborative decision model to optimize electricity flow among
commercial buildings, electric vehicle (EV) charging stations, and the grid under power …

When dealing with consensus cost problems with asymmetric adjustment costs, the
uncertain scenarios with certain probabilities which are becoming a serious problem …

Various optimization approaches have been developed and used for generating optimal
solutions for different industry related optimization problems. The semantic representation of …

This paper addresses the design and planning of a supply chain (SC) system for power
generation from biomass by using various technologies. A two-stage stochastic …

Activity crashing is an efficient way for project acceleration but always leads to time–cost
trade-off issues. The current study proposes an optimal time–cost trade-off model in GERT …