Green Supply Chain Performance Prediction Using a Bayesian Belief Network

Green Supply Chain Risk Network Management and Performance Analysis: Bayesian Belief Network Modeling

With the increase in environmental awareness, competitions and government policies, implementation of green supply chain management activities to sustain production and conserve resources is becoming more necessary for different organizations. However, it is difficult to successfully implement green supply chain (GSC) activities because of the risks involved. These risks alongside their resourc...

Prediction of New Bioactive Molecules using a Bayesian Belief Network

Natural products and synthetic compounds are a valuable source of new small molecules leading to novel drugs to cure diseases. However identifying new biologically active small molecules is still a challenge. In this paper, we introduce a new activity prediction approach using Bayesian belief network for classification (BBNC). The roots of the network are the fragments composing a compound. The...

Green supply chain management practices and performance

Business Process Performance Management Using Bayesian Belief Network

As business environment changes dynamically, efficient management strategy and risk management are required for a company to survive. To cope with such requirements, BPMS (business process management system) has been developed. BPMS enables companies to manage and improve their processes continuously. Most of earlier studies on business process management have been focused upon process modeling...

Design of Mathematical Modeling in a Green Supply Chain Network by Collection Centers in the Environment

Nowadays, Economic systems play an important role in environment's field. Along with the rapid change in global manufacturing scenario, environmental and social issues are becoming more important in managing any business. Increasing pressures and challenges to improve economic and environmental performance have been caused developing countries in generally in particular to consider and to start...