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MAK(E) - A System for Modelling, Optimising, and Analyzing Production in Small and Medium Enterprises

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10129773" target="_blank" >RIV/00216208:11320/12:10129773 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-642-27660-6_49" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-27660-6_49</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-27660-6_49" target="_blank" >10.1007/978-3-642-27660-6_49</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MAK(E) - A System for Modelling, Optimising, and Analyzing Production in Small and Medium Enterprises

  • Original language description

    The paper presents a performance prediction and optimisation tool MAKE that allows users to model enterprises in a visually rich and intuitive way. The tool automatically generates a scheduling model describing all choices that users can do when optimising production. This model then goes to the Optimiser Module that generates schedules optimising on-time-in-full performance criterion while meeting the constraints of the firm and the customer demand. Finally, the Performance Manager Module shows the decision maker what is the best possible outcome for the firm given the inputs from the Enterprise Modeller. The Optimiser Module, which is the main topic of this paper. is implemented using constraint-based solving techniques with specific search heuristics for this type of problems. It demonstrates practical applicability of constraint-based scheduling - one of the killer application areas of constraint programming, a technology originated from AI research.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F10%2F1188" target="_blank" >GAP202/10/1188: KnowSched: Knowledge Techniques in Scheduling</a><br>

  • Continuities

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

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    7147

  • Issue of the periodical within the volume

    7147

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    12

  • Pages from-to

    600-611

  • UT code for WoS article

    000307258500049

  • EID of the result in the Scopus database