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Demand forecasting significance for contemporary process management of logistics systems

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dc.title Demand forecasting significance for contemporary process management of logistics systems en
dc.contributor.author Hart, Martin
dc.contributor.author Rašner, Jaroslav
dc.contributor.author Łukoszová, Xenie
dc.relation.ispartof Congress Proceedings - CLC 2012: Carpathian Logistics Congress
dc.identifier.isbn 978-808729436-9
dc.date.issued 2012
dc.citation.spage 199
dc.citation.epage 205
dc.event.title Carpathian Logistics Congress, CLC 2012
dc.event.location Jeseník
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-11-07
dc.event.edate 2012-11-09
dc.type conferenceObject
dc.language.iso en
dc.publisher TANGER Ltd.
dc.subject Demand forecasting en
dc.subject Logistics en
dc.subject Logistics system en
dc.subject Process management en
dc.subject Supply chain en
dc.description.abstract Today's business market environment has got global and dynamic character. The supply chains of various industries are featured by huge streaming flows in them. The one of the results of world globalization trend is that the supply chains are getting more and more complex and the flows of material, information and finance are more and more bulky. In such business environment the companies should apply logistics management techniques in conjunction with process management approaches to reach desired competitive advantage level. They should develop logistics management system across their organizational structure and across their supply chains for effective planning, management and control in a cost and ecofriend way. Nowadays it's turning out that the right managerial decisions should be based on accurate demand forecast. Demand pattern drives all logistics activities in a supply chain and it's therefore crucial for effective process management of logistics system. Within the frame of particular functional parts of a company, it can be distinguished following logistics sub-systems of a company's logistics system - purchasing, production, warehousing, packaging, distribution and reverse material flows. The paper deals with very up-to-date topic how to effectively plan, manage and control huge material flows and related logistics activities within the frame of logistics process management of a company. For right setting of logistics measures, it's necessary to have high accurate demand forecast of a final product, semi-finished product or raw material. Thus a demand forecasting system is fundamental tool to get initial data to make logistics managerial decisions in a right way. en
utb.faculty Faculty of Logistics and Crisis Management
dc.identifier.uri http://hdl.handle.net/10563/1004283
utb.identifier.obdid 43870694
utb.identifier.scopus 2-s2.0-84926188725
utb.source d-scopus
dc.date.accessioned 2015-05-22T08:01:43Z
dc.date.available 2015-05-22T08:01:43Z
utb.contributor.internalauthor Hart, Martin
utb.contributor.internalauthor Rašner, Jaroslav
utb.contributor.internalauthor Łukoszová, Xenie
utb.fulltext.affiliation Martin HART, Jaroslav RAŠNER, Xenie LUKOSZOVÁ Tomas Bata University in Zlin, Zlin, Czech Republic, EU hart@flkr.utb.cz, rasner@flkr.utb.cz, lukoszova@flkr.utb.cz
utb.fulltext.dates -
utb.fulltext.references [1] HART, M. Logistics and Its Indisputably Growing Importance in Current Global World‘s Economy. Carpathian Logistics Congress, High Tatras, Slovak Republic, September 2011, pp. 197 – 206. ISSN 1451-107X. [cited 2012-09-22, 11:45]. [2] HART, M., LUKOSZOVÁ, X., BARTOŠÍKOVÁ, R. Postponement and Speculations Strategies a Tool to Manage Supply Chain. In Monograph: Management Global and Regional Supply Chain - Research and Concepts, K. Grzybowska (Ed.), pp. 27-40, Publishing House of Poznan University of Technology, Poland 2011. ISBN 978-83-7775-066-7. [cited 2012-09-22, 12:25]. [3] Deutsche Post AG, Headquarters. Delivering Tomorrow, Logistics 2050 – A Scenario Study. 1st Edition February 2012. ISBN 978-3-920269-54-2. [cited 2012-09-22, 13:05]. [4] Logistics. World and Logistics in the Year 2050. Economia, Inc., March 2012, pp. 48 – 49. ISSN 1211-0957. [cited 2012-09-22, 13:15]. [5] BALLOU, R. H. Business Logistics/Supply Chain Management and Logware CD Package. 5th Edition, New Jersey: Prentice Hall, Inc., 2003. ISBN 978-0131076594. [cited 2012-09-22, 14:05]. [6] HART, M. The Approaches to Independent Demand Forecasting in an Industrial Company. Dissertation Thesis, VSB-TU Ostrava, 2010. [cited 2012-09-22, 14:50]. [7] HART, M., LUKOSZOVÁ, X., KUBÍKOVÁ, J. Logistics System Management Based on Demand Forecasting. In Monograph: Management Global and Regional Supply Chain - Research and Concepts, K. Grzybowska (Ed.), Publishing House of Poznan University of Technology, Poland 2012. (in press). [cited 2012-09-22, 14:55]. [8] KRUEGER, R., A. Business Forecasting: A Practical, Comprehensive Resource for Managers and Practitioners. 1st Edition, Washington, 2008, Library of Congress. ISBN 1-4196-7779-9. [9] LEWIS, C., D. Demand Forecasting and Inventory Control: A Computer Aided Learning Approach. New York, 1997, John Wiley&Sons, Inc. ISBN 0-471-25338-3. [10] HART M., TOMAŠTÍK M., TARABA P. Demand Forecasting System as a Strong Tool for Effective Logistics Management. The 9th International Conference on Logistics & Sustainable Transport 2012, pp. 322 – 332. Faculty of Logistics, University of Maribor, European Association for Transport, Traffic and Business Logistics, June 14th-16th,2012, Celje, Slovenia, ISBN 978-961-6562-53-9. [cited 2012-09-22, 15:11].
utb.fulltext.sponsorship The paper has been written within the frame of project CZ.1.07/2.400/12.0069 – “Logistics Centre”.
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