| In contemporary society,with technological advances and increased market competition,companies are placing increasing emphasis on project efficiency,while the outbreak and prevalence of the COVID-19 epidemic has caused labor shortages in some industries.Together,these factors have led to the increasingly common phenomenon of employee overtime in enterprises,with many employees under excessive workloads for long periods of time.However,long periods of high workload can lead to reduced employee productivity or burnout,and even cause serious health problems.Therefore,how to reduce the load of employees in projects has become an important research issue.This study reduces the overall employee load by rational allocation of employee resources in a project,and since employees serve as multi-skill resources in a project,this research is part of a multi-skill resource-constrained project scheduling problem that considers employee workload.This thesis first describes the definition,assumptions and relevant parameters of the problem under study,and establishes a mathematical model of multi-skill resource-constrained project scheduling accordingly,and elaborates the objective function and constraints of the model.The model has two stages:the task-staff assignment scheme is adjusted in the first stage,and in the second stage,the duration of each task is adjusted according to the optimal task assignment scheme obtained in the first stage,and the optimization objective in both stages is to reduce the staff load in the project.For this model,the thesis propose a two-stage genetic algorithm to solve it.Finally,in order to verify the rationality,practicality and effectiveness of the multi-skill resource-constrained project scheduling model and the two-stage optimization algorithm considering employee load in this study,as well as to demonstrate their application effectiveness in project practice,this thesis chose the digital platform development project of Company G as a case study to optimize the employee load for this project with the model and optimization algorithm in this study.It is finally proved that the model can adjust the task allocation method and the duration of each task using the attributes of the existing employees and the task information in the project,guide the enterprise to allocate the project resources reasonably,and then reduce the overall project workload and the total overload workload,provide a better project scheduling solution for the digital platform development project of Company G,and provide guidance for the enterprise project practice.From the employee’s perspective,it reduces the workload and work pressure,improves the employee’s satisfaction and sense of work accomplishment,and contributes to the employee’s physical and mental health and career development;from the enterprise’s perspective,the model and optimization algorithm enable the enterprise to reduce the employee’s workload while improving the project operation efficiency,help solve the problem of false shortage of resources in the project,and even shorten the project’s total duration,thus improving the overall efficiency.This will lead to a win-win situation for both the company and the employees. |
