Arash Khalili Nasr

TL;DR: A fuzzy goal programming approach is proposed to transform the MOMILP into a single objective model and a case study is presented to demonstrate the applicability of the proposed method in the garment manufacturing and distribution industry.

TL;DR: In this article, the authors developed a bi-objective mixed-integer linear programming model for medical waste management during the COVID-19 outbreak, which considers some realistic assumptions for the first time, including location-routing problem, time window-based green vehicle routing problem, vehicles scheduling, vehicles failure, split delivery, population risk, and load dependent fuel consumption.

TL;DR: In this paper, a mixed-integer linear programming model for equitable COVID-19 vaccine distribution in developing countries is presented. But, the model is limited to the case of cold, very cold, and ultra-cold categories where specific refrigeration is required for their storage and distribution.

TL;DR: In this article, an integrated multi-objective mixed-integer linear programming (MOMILP) model is proposed to design sustainable closed-loop supply chain networks with cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup, and delivery under uncertainty.

TL;DR: In this paper, the authors proposed an accurate and organized model for the analysis of results from the stakeholder impact index, and implemented the proposed model to determine the existing barriers to renewable energy development in Iran, specifically the wind and solar energy sectors.