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
—