Research On Task Decomposition And Assignment Method Of Household Appliance Product Design Under Crowdsourcing Mode

With the rapid development of internet technology,crowdsourcing design has become a key approach to promoting product innovation and development.It not only fully utilizes social resources and achieves optimal resource allocation but also gathers wisdom and creativity from around the world,breaking down barriers to innovation across regions and industries,and allowing more people to participate in problem-solving and innovation processes.However,in the field of product innovation and development,crowdsourcing design is currently only applied to simple product innovation.The development of complex products involves multiple parties and various steps,leading to issues in management models and personnel interactions,which restrict the application of crowdsourcing design in complex products.As a complex product,household appliances are facing difficulties in meeting the growing demand for personalized products through traditional manufacturing,resulting in new requirements for the innovation capabilities of household appliances.In order to make crowdsourcing design applicable to complex products,this article uses household appliances as an example,breaking down complex products in the crowdsourcing design process into suitable subtasks to reduce the overall product complexity and improve management efficiency.At the same time,this article studies task allocation issues in the crowdsourcing design of household appliances,aiming to reasonably allocate tasks to crowdsourcing participants.Through this approach,crowdsourcing design is integrated to better apply to complex product innovation and development.First,the crowdsourcing platform needs to decompose complex household appliance tasks into relatively simple,independent subtasks to easily distribute design tasks among crowdsourcing participants.This article proposes a task decomposition method for household appliance crowdsourcing design.The method takes into account the correlation and impact between subtasks,conducts quantitative analysis,and integrates the results into a modularity-based clustering method to achieve maximized clustering results.By analyzing the granularity of subtasks,the decomposition yields reasonable results.The method ensures higher cohesion within subtasks and lower coupling between them.To evaluate the aggregation results of task decomposition,this article introduces density,entropy,and topic difference coefficient indicators for measurement and evaluation.This method improves the accuracy of subtask classification results,contributing to higher precision and efficiency in clustering and providing support for subsequent task allocation and execution.Second,the crowdsourcing platform needs to assign the decomposed subtasks to crowdsourcing participants,considering relevant factors,quantifying,and evaluating them,and finally allocating suitable tasks to participants.This article establishes a household appliance crowdsourcing task allocation method based on the comprehensive ability measurement of contractors.The method considers the contractor’s capabilities,interests,and credibility and uses a series of specific methods to quantify these factors.Ultimately,the task allocation problem is viewed as a combinatorial optimization problem,and a solution based on a greedy algorithm is proposed,followed by experimental analysis.Comparative experiments demonstrate that the greedy algorithm has high efficiency and good quality in solving household appliance crowdsourcing task allocation problems.