Computational logistics uses computations and higher mathematics to plan and implement complex tasks in various areas such as military operations, transportation, environmental systems, and healthcare. Optimization models and algorithms are developed and integrated with advanced computer technologies to solve large-scale problems efficiently.
Computational logistics involves planning and implementing large and complex tasks using computations and higher mathematics. Computational logistics is used in many areas including the flow and storage of goods, services and related information from the point of origin to the point of consumption. In military operations, computational logistics involves organizing and planning the movement of military troops, their equipment and supplies to ensure minimal loss of personnel or property.
In computational logistics, optimization models and algorithms for the planning and execution of complex logistics and supply chain systems have to be developed and verified. An optimization model consists of an objective function and a set of constraints in the form of a system of equations or inequalities. An algorithm is the procedure for performing an activity which, given an initial state, will end up in a defined final state. These models and algorithms are integrated with advanced computer technologies to form high-speed interaction strategies for solving large-scale problems.
The transportation industry is an increasingly complex system that makes use of computational logistics. The use of computers, models and algorithms help create the most efficient scheduling and planning for the transportation of passengers and consumer products.
The prediction of weather systems, seismic perturbations and global climate change has advanced significantly through computational logistics. Supercomputers can create models that take into account the wide variety of factors affecting Earth’s complex environmental system. This use of computational logistics helps us understand and live more securely in our environment.
Computational logistics plays an important and growing role in national and global healthcare. Increasingly advanced computers and mathematical techniques make possible more accurate long-term predictions in health studies involving the effectiveness of drugs, treatments, and lifestyle or dietary changes. Computational logistics is also critical in planning and preparing for a possible future health crisis, so there will be minimal loss of life.
Protect your devices with Threat Protection by NordVPN
