Application of Mathematics in Logistics Optimization / 開發 / By Singulariy & Infinity Application areas: 1.Linear Programming, LP Description: Used to maximize or minimize a linear objective function subject to a set of linear inequality or equality constraints. Application: Applicable to route selection, transportation problems, resource allocation, etc. in logistics. 2.Integer Programming, IP Description: Linear program whose solutions must be integers. Applications: Suitable for facility layout, vehicle routing problems, warehouse site selection, etc. 4.Dynamic Programming, DP Description: Solve multi-stage decision problems by breaking them down into smaller sub-problems. Applications: Suitable for inventory management, distribution network design, route optimization, etc. 5.Mathematical Programming Description: Contains a wide range of applications including linear programming, nonlinear programming, and integer programming. Application: Widely used in supply chain optimization, demand forecasting and other issues in logistics. 6.Network Flow Description: This paper studies the traffic distribution problems in the network, such as maximum flow, minimum cost flow, etc. Applications: Suitable for transportation networks, supply chain logistics, telecommunication network optimization, etc. 7.Greedy Algorithm Description: An algorithm that makes the best choice at each step. Applications: Applicable to vehicle routing problems, loading problems, etc. 8.Simulated Annealing Description: A stochastic optimization technique based on thermodynamic principles to find the global optimal solution. Application: Applicable to complex path optimization, facility site selection and other problems. 9.Genetic Algorithm, GA Description: A randomized search algorithm based on natural selection and genetics. Applications: Suitable for multi-objective optimization, vehicle routing problems, warehouse layout, etc. 10.Load Balancing Description: Technique for distributing work evenly across multiple resources. Application: Suitable for warehouse management, cargo distribution in transportation, etc. 11.Queueing Theory Description: Study the queue behavior in the waiting line, including the arrival process, service process, system capacity, etc. Application: Suitable for service window design in logistics centers, optimization of cargo handling processes, etc.