• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

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

收录:

EI Scopus SCIE

摘要:

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.

关键词:

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

作者机构:

  • [ 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

通讯作者信息:

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

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

NEURAL COMPUTING & APPLICATIONS

ISSN: 0941-0643

年份: 2019

卷: 31

页码: 347-357

6 . 0 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:136

JCR分区:1

被引次数:

WoS核心集被引频次: 11

SCOPUS被引频次: 15

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 0

归属院系:

在线人数/总访问数:266/4609258
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司