运筹学学报 ›› 2022, Vol. 26 ›› Issue (3): 151-156.doi: 10.15960/j.cnki.issn.1007-6093.2022.03.012

• • 上一篇    

极大化提前完工总量平行机排序问题的LPT算法

周萍1, 季敏2, 蒋义伟2,*()   

  1. 1. 浙江商业职业技术学院人文学院, 浙江杭州 310053
    2. 浙江工商大学管理工程与电子商务学院, 浙江杭州 310018
  • 收稿日期:2022-01-20 出版日期:2022-09-15 发布日期:2022-09-07
  • 通讯作者: 蒋义伟 E-mail:jywzju@163.com
  • 作者简介:蒋义伟, E-mail: jywzju@163.com
  • 基金资助:
    浙江省教育厅高校国内访问学者"教师专业发展项目"(FX2020093);国家自然科学基金(11971434);国家自然科学基金(11871327)

LPT heuristic for parallel-machine scheduling of maximizing total early work

Ping ZHOU1, Min JI2, Yiwei JIANG2,*()   

  1. 1. College of Humanities, Zhejiang Business College, Hangzhou 310053, Zhejiang, China
    2. School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China
  • Received:2022-01-20 Online:2022-09-15 Published:2022-09-07
  • Contact: Yiwei JIANG E-mail:jywzju@163.com

摘要:

研究带有共同交货期的三台平行机排序问题。工件在加工过程中不允许中断, 目标是极大化所有工件的提前完工量, 即在交货期前所加工工件(或部分) 的总加工时长。由于该问题是NP-难问题, 本文应用经典LPT算法来解决该问题。我们证明了LPT算法求解该问题的最坏情况界至多为$\frac{15}{13}$, 并给出实例说明最坏情况界的下界为$\frac{27}{25}$

关键词: 平行机排序, LPT算法, 最坏情况界, 提前完工总量

Abstract:

This paper considers the problem of scheduling on three identical machines with a common due date. The preemption is not allowed. The goal is to maximize the total early work of all the jobs, i.e., the total processing time of all the jobs (or part) completed before the common due date. Since the problem is NP-hard, we apply the classical heuristic, namely longest processing time (LPT), to tackle the problem. We show that the worst-case ratio of LPT is at most $\frac{15}{13}$ and the lower bound of the worst-case ratio is at least $\frac{27}{25}$ by providing an instance.

Key words: parallel-machine scheduling, LPT heuristic, worst-case ratio, total early work

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