A heuristic for job shop scheduling to minimize total weighted tardiness

  • Authors:
  • Makoto Asano;Hiroshi Ohta

  • Affiliations:
  • Department of Industrial Engineering, College of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Sakai, Osaka 599-8531, Japan;Department of Industrial Engineering, College of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Sakai, Osaka 599-8531, Japan

  • Venue:
  • Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper considers the job shop scheduling problem to minimize the total weighted tardiness with job-specific due dates and delay penalties, and a heuristic algorithm based on the tree search procedure is developed for solving the problem. A certain job shop scheduling to minimize the maximum tardiness subject to fixed sub-schedules is solved at each node of the search tree, and the successor nodes are generated, where the sub-schedules of the operations are fixed. Thus, a schedule is obtained at each node, and the sub-optimum solution is determined among the obtained schedules. Computational results on some 10 jobs and 10 machines problems and 15 jobs and 15 machines problems show that the proposed algorithm can find the sub-optimum solutions with a little computation time.