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Makespan Minimization with Sequence-dependent Non-overlapping Setups

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00328781" target="_blank" >RIV/68407700:21230/19:00328781 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/19:00328781

  • Result on the web

    <a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007362700910101" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007362700910101</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0007362700910101" target="_blank" >10.5220/0007362700910101</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Makespan Minimization with Sequence-dependent Non-overlapping Setups

  • Original language description

    This paper deals with a scheduling problem that emerges in the production of water tubes of different sizes that require reconfiguration of the machines. The reconfiguration of the machines leads to the notion of sequence-dependent setup times between tasks. These setups are often performed by a single person who cannot serve more than one machine at the same moment, i.e., the setups must not overlap. Surprisingly, the problem with non-overlapping setups has received only a little attention so far. To solve this problem, we propose an Integer Linear Programming formulation, Constraint Programming models and a hybrid heuristic that leverages the strength of Integer Linear Programming in the shortest Hamiltonian path problem and the efficiency of Constraint Programming at sequencing problems with makespan minimization. The experimental evaluation shows that among the proposed exact approaches, the Constraint Programming is a superior method being able to solve instances with 3 machines and up to 11 tasks on each machine to optimality within a few seconds. The proposed hybrid heuristic attains high-quality solutions for instances with 50 machines and up to 116 tasks on each machine.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 8th International Conference on Operations Research and Enterprise Systems

  • ISBN

    978-989-758-352-0

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    91-101

  • Publisher name

    SciTePress

  • Place of publication

    Madeira

  • Event location

    Prague

  • Event date

    Feb 19, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000668111400010