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

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dc.title Sustainable manufacturing systems based on demand forecasting—supply chain sustainable growth en
dc.contributor.author Hart, Martin
dc.contributor.author Taraba, Pavel
dc.contributor.author Konečný, Jiří
dc.relation.ispartof Smart Innovation, Systems and Technologies
dc.identifier.issn 2190-3018 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-32098-4
dc.date.issued 2016
utb.relation.volume 52
dc.citation.spage 191
dc.citation.epage 202
dc.event.title 3rd International Conference on Sustainable Design and Manufacturing, SDM 2016
dc.event.location Chania
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2016-04-04
dc.event.edate 2016-04-06
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-319-32098-4_17
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-32098-4_17
dc.subject Demand forecasting en
dc.subject Manufacturing systems en
dc.subject Methodology en
dc.subject Supply chain management en
dc.subject Sustainability en
dc.description.abstract 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. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Logistics and Crisis Management
dc.identifier.uri http://hdl.handle.net/10563/1006419
utb.identifier.obdid 43875094
utb.identifier.scopus 2-s2.0-84966642053
utb.identifier.wok 000386325700017
utb.source d-scopus
dc.date.accessioned 2016-07-26T14:58:29Z
dc.date.available 2016-07-26T14:58:29Z
utb.identifier.utb-sysno 87695
utb.contributor.internalauthor Hart, Martin
utb.contributor.internalauthor Taraba, Pavel
utb.contributor.internalauthor Konečný, Jiří
utb.fulltext.affiliation Martin Hart, Pavel Taraba and Jiří Konečný M. Hart (✉) • P. Taraba • J. Konečný Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, T.G. Masaryka 5555, 76001 Zlín, EU, Czech Republic e-mail: hart@flkr.utb.cz P. Taraba e-mail: taraba@flkr.utb.cz J, Konečný e-mail: konecny@flkr.utb.cz
utb.fulltext.dates -
utb.fulltext.references 1. Giljum, S., Dittrich, M., Lieber, M., Lutter, S.: Global patterns of material flows and their socio-economic and environmental implications: a MFA study on all countries world-wide from 1980 to 2009. Resources 3, 319-339 (2014). ISSN 2079-9276 2. On-line material: World Bank Data http://data.worldbank.org/ and World Trade Organization, https://www.wto.org/index.htm 3. Hart, M.: Progressive logistics management systems based on demand forecasting— Supply chain sustainable growth, operation management research. Special Issue— Reshoring: a supply chain innovation perspective (2015). ISSN 1936-9735 (In processing) 4. Benton, W.: Supply Chain Focused Manufacturing Planning and Control, xxiii, 386 pp. Cengage Learning, Stamford (2014). ISBN 978-1-133-58671-5 5. Hart, M., Tomaštík, M., Heinzová, R.: The methodology of demand forecasting system creation in an industrial company— the foundation to logistics management. In: Proceedings of the 4th International Conference on Advanced Logistics and Transport, Valenciennes, France, Null (2015). ISBN 978-1-4799-8400-8 6. Hans, L., Cleary, J.P.: Forecasting: Practice and Process for Demand Management, xxx, 622 pp. Thomson/ Brooks/Cole, Belmont (2006). ISBN 0-534-26268-6 7. Makridakis, S.G., Wheelwright, S.C., Hyndman, R.J.: Forecasting: Methods and Applications. 3rd ed., xiv, 642 pp. Wiley, Hoboken (1998). ISBN 0-471-53233-9 8. Vollmann, T.E.: Manufacturing Planning and Control Systems for Supply Chain Management, 5th ed., xxii, 598 pp. McGraw-Hill, New York (2005). ISBN 0-07-144033-x 9. Kavan, M.: Výrobní a Provozní Management, 424 pp. Grada, Praha (2002). ISBN 80-247-0199-5 10. Hart, M., Taraba, P., Tomaštík, M.: Drawing of layout documentation as the basis of logistics management system of a company— literature review, new methodics, case study. In: Proceedings of the 3rd International Conference on Advanced Logistics and Transport, Hammamet, Tunisia, pp. 356-361 (2014). ISBN 978-1-4799-4839-0 11. Moon, M.A.: Demand and Supply Integration: The Key to World-Class Demand Forecasting, xxvii, 244 pp. FT Press, Upper Saddle River (2013). ISBN 978-0-13-308801-4 12. Hart, M.: The Approaches to Independent Demand Forecasting in an Industrial Company, 199 pp. Dissertation thesis (2010). VŠB-TU, Ostrava 13. Mentzer, J.T., Moon, M.A.: Sales Forecasting Management: A Demand Management Approach, 2nd ed., xv, 347 pp. Sage Publications, Thousand Oaks (2005). ISBN 1412905710 14. Grant, D.B., Alexander, T., hee, Y.W.: Sustainable Logistics and Supply Chain Management: Principles and Practices for Sustainable Operations and Management, xii, 240 pp. Kogan Page, London (2013). ISBN 978-0-7494-6866-8 15. Hart, M., Musil, M., Taraba, P.: Methodics to create effective inventory management system in a company. Appl. Mech. Mater. 708, 245-250 (2015). ISSN 1662-7482 16. Hart, M., Lukoszová, X., Kubíková, J.: Logistics system management based on demand forecasting. In: Grzybowska, K. (ed.) Monograph: Logistics— Selected Concepts and Best Practices, pp. 181-198. Publishing House of Poznan University of Technology, Poznaň (2012). ISBN 978-83-7775-190-9 17. Hart, M., Tomaštík, M., Taraba, P.: Production area layout signification for logistics management of an industrial company, pp. 339-350. In: Proceedings The 10th International Conference on Logistics & Sustainable Transport. Faculty of Logistics, University of Maribor, European Association for Transport, Traffic and Business Logistics, Celje, Slovenia (2013). ISBN 978-961-6562-75-1 18. Hart, M., Lukoszová, X., Tomaštík, M.: Methodics to create layout drawing documentation as the foundation for logistics management system of a company. In: Proceedings of the 3rd Carpathian Logistics Congress, Novotel Krakow City West, Krakow, Poland (2013). ISBN 978-80-87294-46-8 19. Hart, M., Lisakoviča, Ž.: Eurologistics— essential information on Latvia and Czech logistics environment, pp. 44-57. In: Proceedings of International Conference Logistics in Theory and Practice B. TBU in Zlin, Zlin (2011). ISBN 978-80-7454-021-9 20. Hart, M., Tomaštík, M., Taraba, P.: Inventory management system of a company. The methodics to design. Res. Logistics Prod. 4, 293-305 (2014). ISSN 2083-4942 21. Hart, M., Lukoszová, X., Bartošíková, R.: Postponement and speculations strategies a tool to manage supply chain. In: Grzybowska, K. (ed.) Monograph: Management Global and Regional Supply Chain— Research and Concepts. Publishing House of Poznan, Poznaň (2011). ISBN 978-83-7775-066-7
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