A real time data mining rules selection model for the Job Shop Scheduling Problem - Université Polytechnique des Hauts-de-France Access content directly
Conference Papers Year :

A real time data mining rules selection model for the Job Shop Scheduling Problem

Mohamed Habib Zahmani
  • Function : Author
Baghdad Atmani
  • Function : Author
Nassima Aissani
  • Function : Author
  • PersonId : 888490

Abstract

Finding the best Dispatching Rule for a Job Shop Scheduling Problem is a tedious task, both time and cost consuming. Since there is no rule that can outperform the others, in this paper we propose an approach able to affect in real-time a different Dispatching Rule for each machine while minimizing makespan. This approach is based on simulation and Data Mining. Experimentations show that the proposed system returns good results in both makespan and processing time needs.
No file

Dates and versions

hal-03659568 , version 1 (05-05-2022)

Identifiers

  • HAL Id : hal-03659568 , version 1

Cite

Mohamed Habib Zahmani, Baghdad Atmani, Abdelghani Bekrar, Nassima Aissani. A real time data mining rules selection model for the Job Shop Scheduling Problem. CIE 45: 2015 International Conference on Computers and Industrial Engineering, Oct 2015, Metz, France. ⟨hal-03659568⟩
7 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More