Supply chain operations management in pandemics: A state-of-the-art review inspired by COVID-19
Pandemics cause chaotic situations in supply chains (SC) around the globe, which can lead
towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented …
towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented …
A flexible robust possibilistic programming approach for sustainable second-generation biogas supply chain design under multiple uncertainties
The goal of this research is to develop a novel second-generation-based biogas supply
chain network design (BG-SCND) model that takes into account the triple bottom line …
chain network design (BG-SCND) model that takes into account the triple bottom line …
A flexible robust possibilistic programming approach toward wood pellets supply chain network design
Increasing energy demand and the detrimental environmental impacts of fossil fuels have
led to the development of renewable energy sources. Rapid demand growth for wood …
led to the development of renewable energy sources. Rapid demand growth for wood …
A grey-fuzzy programming approach towards socio-economic optimization of second-generation biodiesel supply chains
This study aims to develop a multi-objective second-generation-based socially responsible
supply chain (SGB-SRSC) network design model that considers all dimensions of …
supply chain (SGB-SRSC) network design model that considers all dimensions of …
Analysis of carbon footprints and surface quality in green cutting environments for the milling of AZ31 magnesium alloy
This investigation delves into the effectiveness of employing vegetable-based cutting fluids
and nanoparticles in milling AZ31 magnesium alloy, as part of the pursuit of ecologically …
and nanoparticles in milling AZ31 magnesium alloy, as part of the pursuit of ecologically …
An Empirical Study of the Implementation of an Integrated Ergo-Green-Lean Framework: A Case Study
The implementation of lean manufacturing to increase productivity often neglects the impact
on the environment and the well-being of employees. This can result in negative …
on the environment and the well-being of employees. This can result in negative …
Seismic risk assessment and hotspots prioritization: a developing country perspective
Natural disasters pose a negative impact not only on human lives but also on infrastructures
such as healthcare systems, supply chains, logistics, manufacturing, and service industries …
such as healthcare systems, supply chains, logistics, manufacturing, and service industries …
Integrating Risk-Averse and Constrained Reinforcement Learning for Robust Decision-Making in High-Stakes Scenarios
This paper considers a risk-averse Markov decision process (MDP) with non-risk constraints
as a dynamic optimization framework to ensure robustness against unfavorable outcomes in …
as a dynamic optimization framework to ensure robustness against unfavorable outcomes in …
[HTML][HTML] Post-disaster waste management with carbon tax policy consideration
C Boonmee, M Arimura, C Kasemset - Energy Reports, 2021 - Elsevier
Generally, the activities of post-disaster waste management usually produce high carbon
emissions, which can cause damage to the environment. However, the issue of carbon …
emissions, which can cause damage to the environment. However, the issue of carbon …
Multi-objective two-stage stochastic optimization model for post-disaster waste management
C Boonmee, K Legsakul, M Arimura - Production Engineering Archives, 2023 - sciendo.com
Post-disaster waste management is one of the most crucial tasks in the recovery phase of
the disaster cycle, and it was created to assist affected communities in returning to a stable …
the disaster cycle, and it was created to assist affected communities in returning to a stable …