Assessment of the Status of Industrial Logistics Innovative Production Equipment and Systems in the Particular Manufacturing Company

Abstract:

In the first part, this paper deals with the current status of the innovative equipment and systems in the manufacturing companies and its importance within the global competitiveness. In the subsequent parts of the paper, the characteristics of particular multi-criteria analysis methods and the determination of the weightings of individual aspects (assessment criteria) that influence the situation in the developing the innovative production equipment and systems in the specific fields of industrial logistics in the particular manufacturing company when applying the selected methods of multi-criteria analysis are outlined. From the obtained outcomes, it is obvious that the assessment aspects of the manufacturing company are: (1) the grade and quality of the innovation status; (2) the business aspects and competitiveness; (3) the grade and quality of attributes of production equipment and systems and (4) the effectiveness of the logistics processes. The final part of this paper is focused on the selected manufacturing companies, dealing with the production of industrial equipment and systems, in the particular country and the application of the specific methods of the multi-criteria analysis in order to make the empirical statistics and the final complex assessment.

• Periodical: Applied Mechanics and Materials (Volume 803)
• Pages: 148-154
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.803.148
• Online since: October 2015
• Authors: Ondrej Stopka*, Rudolf Kampf
• Keywords: Assessment, Industrial Logistics, Multi-Criteria Analysis, Production Equipment, Production Systems

References

[1] J.E. Quintela Varajao, M.M. Cruz-Cunha, G.D. Putnik, A. Trigo, Enterprise Information Systems, Springer, Berlin, (2010).

[2] R. Andergassen, F. Nardini, M. Ricottilli, Innovation and Growth through Local and Global Interaction, In: Journal of Economic Dynamics & Control, Vol. 33 (2009) 1779-1795.

DOI: 10.1016/j.jedc.2009.04.003

[3] M.M. Cruz-Cunha, Social, Managerial and Organisational Dimension of Enterprise Information Systems, In: IGI Global, Business Sci. Ref., Hershey, (2009).

[4] I.T. Cameron, G.D. Ingram, A Survey of Industrial Process Modelling Across the Product and Process Life Cycle, In: Computers and Chemical Engineering, Vol. 32 (2008) 420-438.

DOI: 10.1016/j.compchemeng.2007.02.015

[5] O. Zizlavsky, Management Control of Innovative Activities: Research Results from Czech Manufacturing Industry, In: Proceedings of the 7th international scientific conference finance and performance of firms in science, education and practice, Tomas Bata University in Zlin, Czech Republic, pp.1708-1725, (2015).

DOI: 10.24818/imc/2021/04.02

[6] V. Chiesa, F. Frattini, Evaluation and Performance Measurement of Research and Development: Techniques and Perspectives for Multi-level Analysis, Cheltenham, Edward Elgar, (2009).

[7] O. Stopka, R. Kampf, J. Kolar, I. Kubasakova, Identification of Appropriate Methods for Allocation Tasks of Logistics Objects in a Certain Area, In: Our Sea, International Journal of Maritime Science & Technology, Vol. 61, No. 1-2 (2014) 1-6.

[8] W. Edwards, The Theory of Decision Making, in: Psychological Bulletin, Vol. 51, No. 4 (1954) 380-417.

[9] D.R. Anderson, D.J. Sweeney, T.A. Williams, J.D. Camm, R. Kipp Martin, An Introduction to Management Science: Quantitative Approaches to Decision Making, South-Western College Pub., 2010, 1045 p.

[10] R.T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, Boston: PWS Kent, (1991).

[11] R. Keeney, H. Raiffa, Decisions with Multiple Objectives, Preferences and Value Trade-offs, Cambridge University Press, Cambridge & New York, 1976, 569 p.

DOI: 10.1017/cbo9781139174084

[12] E.K. Zavadskas, Z. Turskis, Multiple Criteria Decision Making (MCDM) Methods in Economics: An Overview, In: Technological and Economic Development of Economy, Vol. 17, No. 2 (2011) 397-427.

DOI: 10.3846/20294913.2011.593291

[13] C. Zopounidis, P.M. Pardalos, Handbook of Multicriteria Analysis: Applied Optimization, Springer-Verlag Berlin/Heidelberg, Vol. 103 (2010).

[14] J. Jablonsky, Operations Research: Quantitative Models for Economic Decision Making, 3rd ed., Professional Publishing: Prague, 2007, 323 p.

[15] T.L. Saaty, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, RWS Publications, Pittsburgh, Pennsylvania, 1990, 292 p.

[16] T.L. Saaty, Theory and Applications of the Analytic Network Process, RWS Publications, Pittsburgh, Pennsylvania, 2005, 352 p.

[17] T.L. Saaty, Decision Making with the Analytic Hierarchy Process, In: International Journal of Services Sciences, Vol. 1, No. 1 (2008) 83-98.

[18] J. Siroky, V. Cempirek, J. Gasparik, Transport Technology and Control, Monograph, Tribun EU Brno, 2014, 238 p.

[19] J. Siroky, Disassembled Vehicle Combined Transport System, In: Applied Mechanics and Materials, Vol. 708 (2014) 153-158.

DOI: 10.4028/www.scientific.net/amm.708.153

[20] G. Fedorko, A. Rosova, V. Molnar, The application of computer simulation in solving traffic problems in the urban traffic management in Slovakia, In: Theor. Empir. Res. Urban Manag., Vol. 9 (2014) 5-17.

[21] G. Fedorko, M. Weiszer, Configuring the parameters of multi-objective evolutionary algorithm for integrated timetabling and vehicle scheduling in public transport, In: Congr. Proc. - CLC 2012 Carpathian Logist. Congr., 2012, pp.435-440.

[22] S. Krile, M. Krile, P. Prusa, Non-Linear Mimimax Problem For Multi-Stop Flight Routes, In: Transport, Vilnius, Litvania, Vol. 10 (2015).

DOI: 10.3846/16484142.2015.1091984

[23] M. Trpisovsky, P. Prusa, Regional Public Transportation Services Modelling, In: Our Sea: Journal of Marine Science, Vol. 61, No. 3-4 (2014) 77-82.