Open AccessEnergy-cost-aware flow-shop scheduling systems with state-dependent energy consumptions
Author(s) -
Mohammad Mohsen Aghelinejad,
Yassine Ouazène,
Alice Yalaoui
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/463/1/012163
Subject(s) - solver , computer science , mathematical optimization , scheduling (production processes) , electricity , energy consumption , linear programming , energy (signal processing) , job shop scheduling , set (abstract data type) , operations research , schedule , engineering , algorithm , mathematics , statistics , electrical engineering , programming language , operating system
The necessity of managing a production system with less cost and pollution in such a competitive world has enticed the attention of many researchers. This paper deals with a multi-state two-machine flow-shop scheduling problem under Time-Of-Use electricity tariffs. The main issue is to assign a set of jobs to available time slots with different energy costs to minimize the total energy consumption costs. For this purpose, a new linear programming (LP) model is proposed, and several numerical results are solved using CPLEX Studio 12.9.0 solver to evaluate the effciency of the proposed model for the problem. The obtained results demonstrate that CPLEX solver is not able to find the optimal solution for the problems as large as 20 jobs and 90 periods during the 3600 seconds time limitation.