The government organizations grant incentives to promote green product consumption, improve green product quality, boost remanufacturing activities, etc. through various policies. The objective of this study is to highlight pros and cons of two incentive policies, namely (1) incentive on...

Pricing and inventory distribution strategy in a multi-period supply chain environment has not yet been comprehensively explored. We derive closed-form solutions for both two-and three-echelon supply chains under a manufacturer-stackelberg game framework where the supply chain members execute...

Pricing and inventory distribution strategy in a multi-period supply chain environment has not yet been comprehensively explored. We derive closed-form solutions for both two-and three-echelon supply chains under a manufacturer-stackelberg game framework where the supply chain members execute...

The government organizations grant incentives to promote green product consumption, improve green product quality, boost remanufacturing activities, etc. through various policies. The objective of this study is to highlight pros and cons of two incentive policies, namely (1) incentive on...

In this study, we propose a mathematical model of a 4D clustered traveling salesman problem (CTSP) to address the cost-effective security and risk-related difficulties associated with the TSP. We used a multiparent-based memetic genetic algorithm to optimize paths between all clusters and...

A distributed machine learning technique called federated learning allows numerous Internet of Things (IoT) edge devices to work together to train a model without sharing their raw data. Internet of Vehicular Things (IoVT) are an important tool in smart cities for moving objects, such as knowing...