Research On Green Scheduling Of Job Shops Considering AGV Transportation And Machine Spee

In the manufacturing workshop,the proportion of time that machines are used for cutting processing is relatively low throughout the entire production process,and most of the time is wasted in non machining processes,resulting in low energy utilization in the manufacturing workshop and a large amount of energy being wasted in non machining processes.As an important part of intelligent manufacturing systems,workshop production scheduling achieves the goal of improving production efficiency,saving costs,and reducing energy consumption by reasonably scheduling various resources.As a common workshop production scheduling problem,it is of great significance to conduct research on the green scheduling problem of the job shop.In actual production in the workshop,machines not only require energy consumption in the processing state,but also in the no-load state,and the energy consumption of machines varies at different speeds.In addition,with the wide application of automated guided vehicle(AGV)in workshops,its energy consumption cannot be ignored.Among the numerous indicators in the workshop,the maximum completion time dominates.Shortening the maximum completion time can improve the production efficiency of the workshop,and to a certain extent,reduce the energy consumption of the workshop’s public system and the idle energy consumption of the machine,thereby improving the utilization rate of the machine.Based on this,a scheduling model considering AGV transportation and machine speed was established with the workshop as the research object,and a phased optimization method was adopted to optimize the maximum completion time and total energy consumption of the workshop.In the first stage,the machine processes at the highest speed and uses an improved sparrow search algorithm to optimize the maximum completion time;In the second stage,while ensuring that the maximum and minimum completion time optimized in the first stage remain unchanged,a gap gear adjustment strategy is proposed to reduce energy consumption in the workshop by reducing the machine speed of some processes,achieving optimization of the total energy consumption in the workshop.Finally,the effectiveness of the improved sparrow search algorithm,the effectiveness of the algorithm improvement strategy,and the effectiveness of the gap gear adjustment strategy proposed in this article were verified through experiments,and the impact of the number of AGVs was analyzed.The improved sparrow search algorithm in this article is applied to a leather jewelry production workshop.By comparing it with the original scheduling plan of the leather jewelry production workshop,the effectiveness of the proposed algorithm applied to the scheduling problem of the leather production workshop is verified.