Over recent years, a fairly large number of project scheduling problems have been focused on maximizing the Net Present Value (NPV) of cash flows during the project. From the contractor's point of view, cash inflows generally represent their revenues, and cash outflows are expenditures. In most...

In supply chain inventory management, the backorder of products is a common occurrence. A backorder can only be successful if the supplier can be relied upon to provide the out-of-stock product when required or if the consumer is prepared to wait for the product without becoming impatient. So,...

Biochar adsorption is one of the most effective methods for mitigating heavy metal pollution; however, it remains quite challenging for its limited adsorption capacity and selectivity. To address these issues and enhance the adsorption performance of biochar for heavy metals in soil, we proposed...

With the rapid development of e-commerce, enterprises need to improve their distribution networks to accommodate the increasing requirements regarding the quality of customer service and the rising costs of the logistics. We investigate a distribution network design problem involving various...

This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theory, aims at finding minimal user ride...

The geographical dispersion of collaborative factories may provide the cost-saving potential for manufacturers and lead them to easier fit the global markets. On the other hand, in such networks of factories, coordination is very important for the just-in-time delivery of orders. This study...

When dynamic production capacity is considered in production lot-sizing plans, it becomes very challenging to efficiently determine the optimal production plan. Many papers apply “at most one fractional production period” to develop efficient algorithms, but those algorithms are still...

Artificial intelligence (AI) and machine learning (ML) algorithms have transformed various industries, including healthcare. Healthcare organizations are now using AI and ML algorithms to drive strategic leadership and decision-making, as they provide insights that help organizations manage...

Aiming at the problems of sharp path turning points, weak search directionality, and excessive number of calculation nodes in the traditional star algorithm when planning paths, the angle constraint, the way guide strategy, and the path search step size of the A star algorithm are improved....