A Collaborative Scheduling Method for Transportation and Production Based on Improved Particle Swarm Optimization
A technology for improving particle swarms and collaborative scheduling, applied in the field of supply chain, can solve problems such as inability to adapt to production needs
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[0064] In this implementation example, a transportation and production scheduling method based on particle swarm optimization, the process is as follows figure 1 As shown, the model is modeled for the transportation and production collaborative scheduling problems with differences in workpiece volume and production time, production equipment speed and transportation time on different transportation routes, and then solved by an improved particle swarm algorithm, thus Obtain a set of optimization schemes for transportation and production scheduling, so as to greatly reduce the total operating cost of the target enterprise and improve the operating efficiency of the enterprise. Specifically, the n workpieces in the workpiece collection are processed in batches, and then delivered to m equipment by transport vehicles for production and processing; the workpiece collection composed of n workpieces is recorded as J={J 1 ,J 2 ,...,J j ,...,J n},J j Indicates the jth workpiece, 1...
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