Scheduling problems with deteriorating jobs and learning effects including proportional setup times

  • Authors:
  • T. C. E. Cheng;Wen-Chiung Lee;Chin-Chia Wu

  • Affiliations:
  • Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Department of Statistics, Feng Chia University, Taichung, Taiwan;Department of Statistics, Feng Chia University, Taichung, Taiwan

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2010

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Abstract

Recently, interest in scheduling with deteriorating jobs and learning effects has kept growing. However, research in this area has seldom considered setup times. We introduce a new scheduling model in which job deterioration and learning, and setup times are considered simultaneously. In the proposed model, the actual processing time of a job is defined as a function of the setup and processing times of the jobs already processed and the job's own scheduled position in a sequence. In addition, the setup times are assumed to be proportional to the actual processing times of the already scheduled jobs. We derive polynomial-time optimal solutions for some single-machine problems with or without the presence of certain conditions.