Two-machine flow-shop scheduling to minimize total late work

Miao-Tsong Lin*, F. C. Lin, R. C T Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

This article considers a two-machine flow-shop scheduling problem of minimizing total late work. Unlike tardiness, which is based upon the difference between the job completion time and the due date, the late work of a job is defined as the amount of work not completed by its due date. This article first shows that the problem remains non-deterministic polynomial time (NP) hard even if all jobs share a common due date. A lower bound and a dominance property are developed to design branch-and-bound algorithms. Computational experiments are conducted to assess the performance of the proposed algorithms. Numerical results demonstrate that the lower bound and dominance rule can help to reduce the computational efforts required by exploring the enumeration tree. The average deviation between the solution found by tabu search and the proposed lower bound is less than 3%, suggesting that the proposed lower bound is close to the optimal solution.

Original languageEnglish
Pages (from-to)501-509
Number of pages9
JournalEngineering Optimization
Volume38
Issue number4
DOIs
StatePublished - 1 Jun 2006

Keywords

  • Branch-and-bound algorithm
  • Complexity
  • Flow shop
  • Late work

Fingerprint Dive into the research topics of 'Two-machine flow-shop scheduling to minimize total late work'. Together they form a unique fingerprint.

Cite this