Optimization of logistic motor transport networks with application of propositional calculus laws

• Autorzy: Czajkowski Andrzej A. , Frąś Józef , Schlegel Mathias , Kanswohl Norbert

Identyfikatory

DOI

10.21008/j.2083-4950.2019.9.2.1

• Języki publikacji: EN

Abstrakty

EN

Some proposition of mathematical logic application for optimization of logistic nets describing motor transport has been presented in this paper. Some algorithm for optimization steps has been proposed in the article. In presented example has been elaborated some optimization of logistic net for motor transport. The optimized logistics network for motor transport significantly improves reliability and contributes to the economical use of the vehicle.

Słowa kluczowe

EN

logistics; transport; propositional calculus; optimisation

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2019
• Tom: Vol. 9, No. 2
• Strony: 65--76
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Czajkowski Andrzej A.

• Faculty of Automotive Systems, Higher School of Technology and Economics in Szczecin, Klonowica 14, 71-244, Szczecin, Poland

autor

Frąś Józef

• Faculty of Engineering Management, Poznan University of Technology, Strzelecka 11, 60-965, Poznan, Poland

autor

Schlegel Mathias

• Faculty of Agricultural and Enviromental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, 18051,Rostock, Germany

autor

Kanswohl Norbert

• Faculty of Agricultural and Enviromental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, 18051,Rostock, Germany

Bibliografia

• 1. Motor transport systems can be describe by elements that are fundamental gates of logistics transport networks. Logistics network for transport systems can be describe by analytical formulas or graphic patterns accordance with the propositional calculus laws.
• 2. Logistics network can be optimized by using the propositional calculus laws. Optimization of logistics network describing motor transport allows to create such logistics network that is less complicated than initially described in given transport model.
• 3. Modelling the truth tables for logistics networks can be shown by both analytical method and in numerical programs Mathematica, MS-Excel and MathCAD.
• 4. Abel M.L. (1993) Mathematica by example. Revosed Edition, AP Professional, A Division of Hardcourt Brace & Company, Boston San Diego New York London Sydney Tokyo Toronto.
• 5. Gonet M. (2010) Excel in science and technical calculations. Helion, (in Polish).
• 6. Grzegorczyk A. (1969) An outline of mathematical logic, Mathematical Library Vol. 20, PWN, Warsaw, (in Polish).
• 7. Grzymkowski R., Kapusta A. & Słota D. (1994) Mathematica - Programming and applications, Wyd. Pracowni Jacka Skalmierskiego, Gliwice (in Polish).
• 8. Jakubowski K. (2000) MathCAD Professional. Exit.
• 9. Majewski W. (2003) Logic units. Academic textbooks EIT, WNT, Warsaw, (in Polish).
• 10. Maxfield B. (2009) Essential MathCAD for Engineering Science and Math ISE. Academic Press.
• 11. Rutkowski A. (1978) Elements of mathematical logic, Little Mathematical Library Vol. 35, WSiP, Warsaw (in Polish).
• 12. Smogur Zb. (2008) Excel in engineering applications, Helion (in Polish).
• 13. Trott M. (2006) The Mathematica guide book for symbolics. Springer Science+Business Media, Inc.
• 14. University of Cape Town (2013) Introduction to MS-Excel 2007, The open textbook. Create Space Independent Publishing Platform.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).