Approaches for Solving Production Planning and Scheduling Problems Using Genetic Algorithms

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Approaches for Solving Production Planning and Scheduling Problems Using Genetic Algorithms

Popis výsledku v původním jazyce

Manufacturers are today faced with increasing market competition. Acknowledging considerable pressure by competition, efficient planning and scheduling of production therefore become essential requirements. Satisfying customers needs and, moreover, benefitting economically, is thus owed to detailed plans of rational production, sales and distribution. Understanding planning, allocating resources and controlling processes of production are indispensable for success in business activities. In conditions of fast changes, when increasingly less time is available for optimal organization of production, it is a must to implement methods (algorithms) utilized towards finding an appropriate solution with relatively low number of attempts (evolutions). Geneticalgorithms, as part of a wider field of artificial intelligence, are being increasingly employed and are indeed successful in dealing with hard-solving issues (NP-hard).

Název v anglickém jazyce

Approaches for Solving Production Planning and Scheduling Problems Using Genetic Algorithms

Popis výsledku anglicky

Manufacturers are today faced with increasing market competition. Acknowledging considerable pressure by competition, efficient planning and scheduling of production therefore become essential requirements. Satisfying customers needs and, moreover, benefitting economically, is thus owed to detailed plans of rational production, sales and distribution. Understanding planning, allocating resources and controlling processes of production are indispensable for success in business activities. In conditions of fast changes, when increasingly less time is available for optimal organization of production, it is a must to implement methods (algorithms) utilized towards finding an appropriate solution with relatively low number of attempts (evolutions). Geneticalgorithms, as part of a wider field of artificial intelligence, are being increasingly employed and are indeed successful in dealing with hard-solving issues (NP-hard).

Druh

D - Stať ve sborníku

CEP obor

JQ - Strojní zařízení a nástroje

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Annals of DAAAM for 2011 & Proceedings

ISBN

978-3-901509-83-4

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

771-772

Název nakladatele

DAAAM International Vienna

Místo vydání

TU Wien, Karlsplatz 13/311, A-1040 Vienna, Austr

Místo konání akce

Vienna

Datum konání akce

23. 11. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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