Discrete Workshop Green Scheduling For Elevator Parts Manufacturing Enterprises

In the current economic sustainable development,energy conservation and emission reduction gradually attracted wide attention.As one of the traditional discrete manufacturing industries,elevator parts manufacturing enterprises have been facing high energy consumption,high emissions and other environmental and energy problems.How to find a balance between economic development and green environmental protection has gradually become a key issue in the informatization and green development of the manufacturing industry.Production scheduling can not only guarantee production efficiency but also improve the utilization rate of manufacturing resources.It has gradually become one of the effective ways for enterprises to improve production level and manufacturing energy efficiency simultaneously and sustainably.Based on the aspects of shop modeling,improvement of evolutionary algorithm,rescheduling strategy and implementation of green scheduling system,the green shop scheduling method was selected as the research object,in order to realize energy saving and emission reduction of discrete shop scheduling and timely response and adjustment to dynamic disturbance.Specific research contents are as follows:(1)Introduced the background and significance of the research,analyzed and summarized the domestic and foreign research on flexible shop scheduling,green scheduling,rescheduling and carbon emission quantification methods in manufacturing process.(2)The existing problems of the current scheduling mode and production scheduling status of elevator parts manufacturing workshop were analyzed and summarized.The characteristics of discrete shop scheduling problem and the sources and components of carbon emissions in manufacturing process were analyzed.The influence of abnormal events on shop green scheduling was analyzed,and the research direction and focus of rescheduling were determined.(3)Aiming at the influence of processing auxiliary links on low-carbon scheduling of traditional flexible shop,aiming at the maximum completion time,carbon emission and machine load,a low-carbon scheduling model of flexible shop was established considering the adjustment state of machine tool loading and unloading.NSGA-II algorithm was improved to solve the problem.Firstly,chaotic sequences produced by improved Tent chaotic mapping were used to improve the chromosome coding generation mode,improve the quality,diversity and distribution uniformity of the initial population.Secondly,the dominant intensity operator was introduced to remove the pseudo-non-dominant solution,and an efficient and fast dominant intensity ranking method was designed.A new crowding distance operator is used to calculate the distribution of the optimal solution set of individual crowding distance.During the operation of the algorithm,adaptive genetic operators were designed to dynamically control the crossing and mutation rates to improve the convergence performance of the algorithm.Finally,an adaptive elite retention strategy based on external file set was proposed to improve the population diversity in the later period of the algorithm.The variable neighborhood search strategy was embedded in the algorithm.Different neighborhood structures were designed to carry out transformation neighborhood search in the solution space,which enhances the local optimization ability of the algorithm.The validity of the algorithm was verified by the example data.(4)Described the production and manufacturing process and workshop management process of elevator parts machining workshop,analyzed and summarized the common abnormal events in the workshop production process.According to their impact on the production process,divided the abnormal events into ordinary abnormal events and critical abnormal events.A hybrid rescheduling optimization strategy considering task divisibility was proposed for critical abnormal events,and a rescheduling model was established with completion time,process stability and carbon emission as optimization objectives.he rescheduling simulation was optimized by taking the machine fault as an example,and compared with the traditional right-shift rescheduling strategy.(5)Based on the actual situation of the enterprise research system requirements and system process analysis,the overall architecture of the system was designed,the specific function modules were planned,and the information flow model of the system was constructed.According to the database requirements and logical structure analysis,the concrete design of the data table entity.Finally,some key functional interfaces of green dispatching system in this chapter were developed and displayed.