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author:

Wang, S. (Wang, S..) [1] | Wang, X. (Wang, X..) [2] | Chu, F. (Chu, F..) [3] | Yu, J. (Yu, J..) [4]

Indexed by:

Scopus

Abstract:

Energy-efficient scheduling is highly necessary for energy-intensive industries, such as glass, mould or chemical production. Inspired by a real-world glass-ceramics production process, this paper investigates a bi-criteria energy-efficient two-stage hybrid flow shop scheduling problem, in which parallel machines with eligibility are at stage 1 and a batch machine is at stage 2. The performance measures considered are makespan and total energy consumption. Time-of-use (TOU) electricity prices and different states of machines (working, idle and turnoff) are integrated. To tackle this problem, a mixed integer programming (MIP) is formulated, based on which an augmented ε-constraint (AUGMECON) method is adopted to obtain the exact Pareto front. A problem-tailored constructive heuristic method with local search strategy, a bi-objective tabu search algorithm and a bi-objective ant colony optimisation algorithm are developed to deal with medium- and large-scale problems. Extensive computational experiments are conducted, and a real-world case is solved. The results show effectiveness of the proposed methods, in particular the bi-objective tabu search. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

bi-objective ant colony optimisation; bi-objective tabu search; constructive heuristic; total energy consumption; two-stage hybrid flow shop; ε-constraint method

Community:

  • [ 1 ] [Wang, S.]School of Economics and Management, Tongji University, Shanghai, China
  • [ 2 ] [Wang, X.]School of Economics and Management, Tongji University, Shanghai, China
  • [ 3 ] [Chu, F.]IBISC, Univ Évry, University of Paris-Saclay, Paris, France
  • [ 4 ] [Chu, F.]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 5 ] [Yu, J.]School of Mechanical Engineering, Tongji University, Shanghai, China

Reprint 's Address:

  • [Wang, S.]School of Economics and Management, Tongji UniversityChina

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Source :

International Journal of Production Research

ISSN: 0020-7543

Year: 2020

Issue: 8

Volume: 58

Page: 2283-2314

8 . 5 6 8

JCR@2020

7 . 0 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 93

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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