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Author:

Li, Yuchen (Li, Yuchen.) | Wang, Honggang (Wang, Honggang.) | Yang, Zaoli (Yang, Zaoli.)

Indexed by:

EI Scopus SCIE

Abstract:

In this paper, we present a practical line balancing problem: multiple-operator assembly line balancing problem II. The formulation of the proposed problem is novel in terms of investigating the operator assignment from a different perspective. In order to solve this problem, we develop a simulated annealing (SA)-based two-stage solution procedure, where a new neighborhood generation and a search method are designed and demonstrated to be more efficient than the traditional neighborhood search method. In theory, we prove the original neighborhood generation method is not efficient than the proposed one. Computational experiments on some benchmark cases have been conducted to validate the efficiency of the proposed algorithm compared to the traditional SA approach. Our work also has some practical merits. In the managerial situation, a factory may have already recruited some workers that cannot be dismissed. Our problem describes that the production manager allocates different number of workers to the workstations to minimize the cycle time.

Keyword:

Parallel stations Simulated annealing Assembly line balancing Multiple-operator assignments Feasible neighborhood generation

Author Community:

  • [ 1 ] [Li, Yuchen]Beijing Univ Technol, Sch Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China
  • [ 2 ] [Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China
  • [ 3 ] [Wang, Honggang]Univ La Verne, Coll Business & Publ Management, La Verne, CA USA

Reprint Author's Address:

  • [Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China

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Source :

NEURAL COMPUTING & APPLICATIONS

ISSN: 0941-0643

Year: 2019

Volume: 31

Page: 347-357

6 . 0 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:136

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 15

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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