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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F10%2F1188" target="_blank" >GAP202/10/1188: KnowSched: Znalostní techniky v rozvrhování</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Lecture Notes in Computer Science

ISSN

0302-9743

e-ISSN

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Svazek periodika

7147

Číslo periodika v rámci svazku

7147

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

600-611

Kód UT WoS článku

000307258500049

EID výsledku v databázi Scopus

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