A note on the optimality of index priority rules for search and sequencing problems

Authors

  • George J. Kyparisis,

    1. Department of Decision Sciences and Information Systems, Florida International University, Miami, Florida 33199
    Search for more papers by this author
  • Christos Koulamas

    Corresponding author
    1. Department of Decision Sciences and Information Systems, Florida International University, Miami, Florida 33199
    • Department of Decision Sciences and Information Systems, Florida International University, Miami, Florida 33199
    Search for more papers by this author

Abstract

We show that the linear objective function of a search problem can be generalized to a power function and/or a logarithmic function and still be minimized by an index priority rule. We prove our result by solving the differential equation resulting from the required invariance condition, therefore, we also prove that any other generalization of this linear objective function will not lead to an index priority rule. We also demonstrate the full equivalence between two related search problems in the sense that a solution to either one can be used to solve the other one and vice versa. Finally, we show that the linear function is the only function leading to an index priority rule for the single-machine makespan minimization problem with deteriorating jobs and an additive job deterioration function. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011

Ancillary