• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Cheng, J. (Cheng, J..) [1] | Wu, P. (Wu, P..) [2] | Chu, F. (Chu, F..) [3]

Indexed by:

Scopus

Abstract:

A recent study proposed an interesting unrelated parallel machines scheduling problem under time-varying electricity cost, which assumes significant importance for industrial enterprises competitiveness improvement and sustainable economic development. The existing solution method is a hybrid genetic algorithm, which cannot ensure the optimality of the solutions. In this work, we provide a mixed-integer linear programming model to exactly solve the problem. The computational results show that the proposed model can obtain optimal solutions efficiently. © 2019 IEEE.

Keyword:

electricity cost; makespan; mixed-integer linear programming; parallel machines scheduling; time-of-use tariffs

Community:

  • [ 1 ] [Cheng, J.]Fujian Normal University, School of Economics, Fuzhou, China
  • [ 2 ] [Wu, P.]Fuzhou University, School of Economics management, Fuzhou, China
  • [ 3 ] [Chu, F.]University of Evry-Val dEssonne, University of Paris-Saclay, Paris, France

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:211/9983315
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1