Sustainable Manufacturing Systems Based on Demand Forecasting—Supply Chain Sustainable Growth

  • Martin HartEmail author
  • Pavel Taraba
  • Jiří Konečný
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 52)


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.


Manufacturing systems Supply chain management Sustainability Demand forecasting Methodology 


  1. 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 2079-9276Google Scholar
  2. 2.
    On-line material: World Bank Data and World Trade Organization,
  3. 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)Google Scholar
  4. 4.
    Benton, W.: Supply Chain Focused Manufacturing Planning and Control, xxiii, 386 pp. Cengage Learning, Stamford (2014). ISBN 978-1-133-58671-5Google Scholar
  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 978-1-4799-8400-8Google Scholar
  6. 6.
    Hans, L., Cleary, J.P.: Forecasting: Practice and Process for Demand Management, xxx, 622 pp. Thomson/ Brooks/Cole, Belmont (2006). ISBN 0-534-26268-6Google Scholar
  7. 7.
    Makridakis, S.G., Wheelwright, S.C., Hyndman, R.J.: Forecasting: Methods and Applications. 3rd ed., xiv, 642 pp. Wiley, Hoboken (1998). ISBN 0-471-53233-9Google Scholar
  8. 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-xGoogle Scholar
  9. 9.
    Kavan, M.: Výrobní a Provozní Management, 424 pp. Grada, Praha (2002). ISBN 80-247-0199-5Google Scholar
  10. 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 978-1-4799-4839-0Google Scholar
  11. 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 978-0-13-308801-4Google Scholar
  12. 12.
    Hart, M.: The Approaches to Independent Demand Forecasting in an Industrial Company, 199 pp. Dissertation thesis (2010). VŠB-TU, OstravaGoogle Scholar
  13. 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 1412905710Google Scholar
  14. 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 978-0-7494-6866-8Google Scholar
  15. 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 1662-7482Google Scholar
  16. 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 978-83-7775-190-9Google Scholar
  17. 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 978-961-6562-75-1Google Scholar
  18. 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 978-80-87294-46-8Google Scholar
  19. 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 II. TBU in Zlin, Zlin (2011). ISBN 978-80-7454-021-9Google Scholar
  20. 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 2083-4942Google Scholar
  21. 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 978-83-7775-066-7Google Scholar
  22. 22.
    Dima, I.C.: Industrial Production Management in Flexible Manufacturing Systems, xvi, 494 pp. Engineering Science Reference, Hershey (2013). ISBN 978-1-4666-2818-2Google Scholar
  23. 23.
    Lewis, C.D.: Demand Forecasting and Inventory Control: A Computer Aided Learning Approach. Wiley, New York (1997). ISBN 978-0-471-25338-9Google Scholar
  24. 24.
    On-line material:, online 16.9.2015 16:15:36
  25. 25.
    Curry, G.L., Feldman, R.M.: Manufacturing Systems Modeling and Analysis, 2nd ed., xvi, 338 pp. Springer, Berlin (2011). ISBN 978-3-642-16617-4Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of Logistics and Crisis ManagementTomas Bata University in ZlínZlínCzech Republic

Personalised recommendations