Scheduling parallel machines with inclusive processing set restrictions

Authors

  • Jinwen Ou,

    Corresponding author
    1. Department of Administrative Management, Jinan University, Guangzhou, 510632, People's Republic of China
    • Department of Administrative Management, Jinan University, Guangzhou, 510632, People's Republic of China
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  • Joseph Y.-T. Leung,

    1. Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey 07102
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  • Chung-Lun Li

    1. Department of Logistics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
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Abstract

We consider the problem of assigning a set of jobs to different parallel machines of the same processing speed, where each job is compatible to only a subset of those machines. The machines can be linearly ordered such that a higher-indexed machine can process all those jobs that a lower-indexed machine can process. The objective is to minimize the makespan of the schedule. This problem is motivated by industrial applications such as cargo handling by cranes with nonidentical weight capacities, computer processor scheduling with memory constraints, and grades of service provision by parallel servers. We develop an efficient algorithm for this problem with a worst-case performance ratio of equation image + ε, where ε is a positive constant which may be set arbitrarily close to zero. We also present a polynomial time approximation scheme for this problem, which answers an open question in the literature. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008

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