Single-machine makespan minimization scheduling with nonlinear shortening processing times

  • Authors:
  • Ming-Zheng Wang;Ji-Bo Wang

  • Affiliations:
  • School of Science, Shenyang Aerospace University, Shenyang 110136, China;School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, China

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2012

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Abstract

In this paper, we consider the single-machine makespan minimization scheduling problem with nonlinear shortening processing times. By the nonlinear shortening processing times, we mean that the processing times of jobs are non-increasing nonlinear functions of their starting times. The computational complexity of the general problem remains an open problem, but we show that even with the introduction of nonlinear shortening processing times to job processing times, some special cases remain polynomially solvable. We also show that an optimal schedule of the general makespan minimization problem is V-shaped with respect to job normal processing times. A heuristic algorithm which utilize the V-shaped property is proposed, and computational experiments show that it is effective and efficient in obtaining near-optimal solutions.