Industrial Engineering & Management

Hamza R Saad

Publications

• Research Article
  Use Bagging Algorithm to Improve Prediction Accuracy for Evaluation of Worker Performances at a Production Company
  Author(s): Hamza R SaadHamza R Saad
  
  Many workers at the production department of Libyan Textile Company work with different performances. Plan of company management is paying the money according to the specific performance and quality requirements for each worker. Thus, it is important to predict the accurate evaluation of workers to extract the knowledge for management, how much money it will pay as salary and incentive. For example, if the evaluation is average, then management of the company will pay part of the salary. If the evaluation is good, then it will pay full salary, moreover, if the evaluation is excellent, then it will pay salary plus incentive percentage. Twelve variables with 121 instances for each variable collected to predict the evaluation of the process for each worker. Before starting classification, feature selection used to predict the influential variables which impact the evaluation process. The.. Read More»
  DOI: 10.4172/2169-0316.1000257

  Abstract PDF