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Sustainable manufacturing systems based on demand forecasting-supply chain sustainable growth

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28160%2F16%3A43874469" target="_blank" >RIV/70883521:28160/16:43874469 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-32098-4_17" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32098-4_17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-32098-4_17" target="_blank" >10.1007/978-3-319-32098-4_17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sustainable manufacturing systems based on demand forecasting-supply chain sustainable growth

  • Original language description

    Contemporary business environment is characterized by a high level of dynamics development and by competitive advantage. There is an increasing demand on both living environment protection and effective management of supply chains of particular industries. Supply chains have been becoming more complex and bulkier in the light of streaming material flows. One of the bases of a long-term socio-economic development of society in current global business environment is effective planning, management and control of bulky material flows of supply chains. Company's management systems and also manufacturing management systems should be based on a forecasting subsystem of an independent demand or consumption. An accurate demand forecast enables adequate production of final products, parts, etc., although there is no overproduction or shortage. In final consequence the manufacturing systems based on progressive forecasting subsystems represent one of the main parts of supply chains in context of living environment protection and long-term sustainable development-thus the production or material flows are adequate within particular regional or global supply chains. This article deals with current issues of effective manufacturing systems of supply chains based on prognostic subsystems of independent demand or consumption.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Smart Innovation, Systems and Technologies

  • ISBN

    978-3-319-32098-4

  • ISSN

    2190-3018

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    191-202

  • Publisher name

    Springer Science+Business Media B.V.

  • Place of publication

    Dordrecht

  • Event location

    Chania, Kréta

  • Event date

    Apr 4, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000386325700017