公开(公告)号：US20180357584A1

公开(公告)日：2018-12-13

申请号：US16006769

申请日：2018-06-12

Applicant: Hefei University of Technology

Inventor： Xinbao LIU ,  Jun PEI ,  Mei XUE ,  Shaojun LU ,  Hao CHENG ,  Min KONG ,  Zhiping ZHOU ,  Lu JIANG

IPC: G06Q10/06 ,  G06Q10/08

CPC classification number: G06Q10/06311 ,  G06Q10/083

Abstract: The present invention discloses a method and system for collaborative scheduling of production and transportation in supply chains based on improved particle swarm optimization. The method includes the following steps: 1. setting algorithm parameters; 2. randomly generating an initial population; 3. correcting codes; 4. calculating fitness values and updating the speed and the position of particles; 5. performing tournament selection; 6. performing crossover mutation; 7. updating the population; and 8. determining whether a termination condition is satisfied; if so, outputting a globally optimal solution; if not, returning to the step 3. In the present invention, an approximately optimal solution can be obtained in view of the collaborative scheduling problem of production and transportation considering distributed storage, so that the cost is reduced for supply chains and the service level of supply chains is enhanced.