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Decision in Implementation of Production Capacity Planning Determinated by Usage of Sensitive Analysis

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F18%3APU128356" target="_blank" >RIV/00216305:26510/18:PU128356 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.13164/trends.2018.31.57" target="_blank" >http://dx.doi.org/10.13164/trends.2018.31.57</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/trends.2018.31.57" target="_blank" >10.13164/trends.2018.31.57</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Decision in Implementation of Production Capacity Planning Determinated by Usage of Sensitive Analysis

  • Popis výsledku v původním jazyce

    Effective planning and management of material flow and production resources, i.e. production planning and control is generally regarded as crucial for the success of manufacturing companies. It involves managing all aspects of production, including materials management, planning and scheduling of machines and human resources and coordination of suppliers and key customers. They were followed a more advanced concept MRP II, controls all production resources. Despite production planning using ERP systems, based on MRP II logic. With this tool can company effectively balance all production resources and in the optimal way to schedule production orders according to production capacity. Implementation of capacity planning in the company introduces a number of problems associated with the requirements of quality information and accurate data on which is a production plan created. Decision on the implementation of capacity planning is a challenge associated with high risk and the need to consider the order of several months in advance uncertainty. At points where we do not have full control over decisions, it can be used heuristic methods of decision-making through a decision tree using the known probabilities, and with a partial ignorance of using interval arithmetic.

  • Název v anglickém jazyce

    Decision in Implementation of Production Capacity Planning Determinated by Usage of Sensitive Analysis

  • Popis výsledku anglicky

    Effective planning and management of material flow and production resources, i.e. production planning and control is generally regarded as crucial for the success of manufacturing companies. It involves managing all aspects of production, including materials management, planning and scheduling of machines and human resources and coordination of suppliers and key customers. They were followed a more advanced concept MRP II, controls all production resources. Despite production planning using ERP systems, based on MRP II logic. With this tool can company effectively balance all production resources and in the optimal way to schedule production orders according to production capacity. Implementation of capacity planning in the company introduces a number of problems associated with the requirements of quality information and accurate data on which is a production plan created. Decision on the implementation of capacity planning is a challenge associated with high risk and the need to consider the order of several months in advance uncertainty. At points where we do not have full control over decisions, it can be used heuristic methods of decision-making through a decision tree using the known probabilities, and with a partial ignorance of using interval arithmetic.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    TRENDY EKONOMIKY A MANAGEMENTU

  • ISSN

    1802-8527

  • e-ISSN

  • Svazek periodika

    12

  • Číslo periodika v rámci svazku

    31

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    12

  • Strana od-do

    57-59

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus