Crisis-induced vaccine supply chain management has recently drawn attention to the
importance of immediate responses to a crisis (eg, the COVID-19 pandemic). This study …

This paper supplements the augmented ε-constraint approach with linearization using
robust optimization and heuristics with an improved algorithm to maximize the total profit and …

In this paper, a stable CLSC problem is modeled in conditions of uncertainty and
indeterminacy. The SCN is designed to maximize NPV and minimize carbon releases by …

During Covid-19, medical service networks (MSNs) faced new challenges, such as an
impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient …

Based on the concept of ambidexterity, we develop a multi-objective, multi-product, and
multi-period model to integrate planning for research and development (R&D) and …

In this study, a multi-objective nonlinear model is used to design a closed-loop supply chain
network. We consider a multi-period, multi-product and multi-stage manufacturing model by …

This study develops a dynamic, multi-product, multi-period, and multi-stage framework for a
reconfigurable closed-loop supply chain in the dairy sector, with a strong emphasis on …

In an increasingly changing and uncertain market, adapting the supply chain to new
changes requires reconfiguring supply chains processes to improve its performance. The …

Nowadays, innovation is increasingly growing and the lifetime of products is decreasing. In
this situation, New Product Development (NPD) is an advantage that makes it possible to …

All vital operations of a supply chain network (SCN) are inherently affected by uncertainties
and risks in the economic environment. In this study, we extend an existing SCN model by …