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Single machine scheduling to minimize total weighted earliness subject to minimal number of tardy jobs

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  • Wan, Guohua
  • Yen, Benjamin P.-C.

Abstract

Motivated by just-in-time manufacturing, we consider a single machine scheduling problem with dual criteria, i.e., the minimization of the total weighted earliness subject to minimum number of tardy jobs. We discuss several dominance properties of optimal solutions. We then develop a heuristic algorithm with time complexity O(n3) and a branch and bound algorithm to solve the problem. The computational experiments show that the heuristic algorithm is effective in terms of solution quality in many instances while the branch and bound algorithm is efficient for medium-size problems.

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  • Wan, Guohua & Yen, Benjamin P.-C., 2009. "Single machine scheduling to minimize total weighted earliness subject to minimal number of tardy jobs," European Journal of Operational Research, Elsevier, vol. 195(1), pages 89-97, May.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:1:p:89-97
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    Cited by:

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    3. Janiak, Adam & Janiak, Władysław A. & Krysiak, Tomasz & Kwiatkowski, Tomasz, 2015. "A survey on scheduling problems with due windows," European Journal of Operational Research, Elsevier, vol. 242(2), pages 347-357.
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    6. Grundel, S., 2015. "Essays on cooperation in resource allocation and scheduling," Other publications TiSEM c2d78915-6b6f-4f8b-b601-0, Tilburg University, School of Economics and Management.
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