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, Volume 14, Issue 2, pp 153–164 | Cite as

Hierarchical optimization with double due dates on an unbounded parallel-batching machine to minimize maximum lateness

  • Cheng HeEmail author
  • Hao Lin
Research Paper

Abstract

This paper studies a hierarchical optimization problem on an unbounded parallel-batching machine, in which two objective functions are maximum lateness induced by two sets of due dates, representing different purposes of two decision-makers. By a hierarchical optimization problem, we mean the problem of optimizing the secondary criterion under the constraint that the primary criterion is optimized. A parallel-batching machine is a machine that can handle several jobs in a batch in which all jobs start and complete respectively at the same time. We present an \(O(n\log P)\)-time algorithm and an \(O(n^3)\)-time algorithm for this hierarchical scheduling problem, where P is the total processing time of all jobs.

Keywords

Hierarchical optimization Batching machine Double due dates Maximum lateness 

Mathematics Subject Classification

90B35 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.School of ScienceHenan University of TechnologyZhengzhouChina

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