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Matthieu Dupuy

Doctoral Student
Doctoral Student
Present : NO
Keywords : 
Research Axes : 
  • Axis 1 : IO

Publications

  • Scheduling rules to minimize total tardiness in a parallel machine problem with setup and calendar constraints

    References :
    Jacques Lamothe, François Marmier, Matthieu Dupuy, Paul Gaborit, and Lionel Dupont. « Scheduling rules to minimize total tardiness in a parallel machine problem with setup and calendar constraints ». In: Computers & Operations Research 39.6 (Jun 2012). pp. 1236--1244. ISSN: 0305-0548. DOI: 10.1016/j.cor.2010.07.007.
    Quality control lead times are one of most significant causes of loss of time in the pharmaceutical and cosmetics industries. This is partly due to the organization of laboratories that feature parallel multipurpose machines for chromatographic analyses. The testing process requires long setup times and operators are needed to launch the process. The various controls are non-preemptive and are characterized by a release date, a due date and available routings. These quality processes lead to significant delays, and we therefore evaluate the total tardiness criterion. Previous heuristics were defined for the total tardiness criterion, parallel machines, and setup such as apparent tardiness cost (ATC) and ATC with setups (ATCS). We propose new rules and a simulated annealing procedure in order to minimize total tardiness. (C) 2010 Elsevier Ltd. All rights reserved.
    Keywords: algorithms, costs, Heuristics, jobs, Parallel machine, Scheduling, sequence, Simulated annealing, times, total weighted tardiness