Research On Human-machine Task Assignment Of Panel Customized Furniture Production Line Based On Complexity

The current production task of customized panel furniture is becoming increasingly complex,and the planning of production line upgrading mainly relies on experience.Enterprises are facing transformation and upgrading,but fully automated production systems are not suitable for every manufacturing enterprise.To promote intelligent manufacturing of customized furniture,we should base ourselves on the manufacturing essence of multiple varieties and small batches,abandon the simple idea of "machine replacement",and moderately promote automation and intelligence.In this industry context,how to enable better collaboration and intelligent decision-making between humans and machines has become an urgent problem to be solved in the transformation and upgrading of the panel customized furniture industry.This paper focuses on the challenges that constrain the transformation and upgrading of customized furniture enterprises and affect their high-quality development.In response to the challenges of human-machine collaboration and intelligent decision-making faced by panel customized furniture enterprises,based on the study of the complexity of production tasks for panel customized furniture and the characteristics of panel customized furniture production,a complexity based human-machine task allocation method for panel customized furniture production lines is proposed,And a corresponding human-machine task allocation system has been developed to achieve rationalization of human-machine task allocation and improve the efficiency of production line design.The main conclusions of this paper are as follows:(1)Establishment of a complexity measurement model for panel custom furniture production tasks.By analyzing the complexity of customized panel furniture production tasks,a complexity evaluation system for customized panel furniture production tasks was established,mainly dividing task complexity into objective and subjective aspects.Information entropy,generalized information entropy,and neural networks were used to quantify task complexity from five perspectives:task relationships,process depth,operation processes,perception processes,and cognitive processes.This led to the establishment of a complexity measurement model for customized panel furniture production tasks,which provides decision support and a basis for research on human-machine task allocation issues.(2)Construction of a human-machine task allocation model for panel custom furniture production lines based on complexity.By analyzing the capabilities of humans and machines in the panel customized furniture production line,combined with a production task complexity measurement model,a human-machine task allocation model for the panel customized furniture production line was constructed with the goal of maximizing the complexity of the production process for chemical workers.At the same time,a mathematical model corresponding to the task allocation model was established,and the migratory bird algorithm was designed to quickly solve human-machine task allocation problems.(3)Application of the human-machine task allocation model for panel custom furniture production lines.The human-machine task allocation model for customized panel furniture production lines was applied to cabinet production line planning and design.The optimal allocation scheme obtained through this model increased the balance of the production line by 7%compared to the original production plan,reduced the balance delay time by 10 minutes,decreased production costs by 1950 yuan per hour,increased the proportion of objective complexity by 12%,and improved the balance rate of worker production process complexity by 15%.This verified the feasibility of the model.(4)Implementation of a prototype system for human-machine task allocation in custom Panel Furniture Production Lines.Based on the human-machine task allocation model of panel customized furniture production line,a human-machine task allocation system was designed and developed,which includes three functional modules:data management,configuration file upload,and task allocation management.This provides convenient services for actual human-machine task allocation,reduces production line planning time,achieves human-machine collaboration,increases manufacturing system flexibility,and lays the foundation for the implementation of intelligent manufacturing.