SEARCH WITHIN CONTENT
Citation Information : Transport Problems. Volume 15, Issue 3, Pages 117-126, DOI: https://doi.org/10.21307/tp-2020-038
License : (CC BY 4.0)
Received Date : 15-February-2019 / Accepted: 26-August-2020 / Published Online: 05-September-2020
Logistics activities are present in different business functions, which is why unified decision making in logistics has a significant effect on the organization of logistics processes in companies. Scientific literature highlights various aspects of logistics decision making, but so far, no survey has been conducted that can accurately illustrate the effect of centralized logistics and the effect of the level of logistics knowledge of employees from other departments on unified decision making in the organization of logistics processes. For this purpose, a statistical analysis was carried out on a sample of companies from the Slovenian automotive industry, which is one of the leading high-tech industries in the world. The results of multiple linear regression show that the greater the knowledge of logistics among the employees from other departments, the more logistics costs are taken into account during the development of the product. This is an important finding for the automotive industry, as well as for other manufacturing industries, especially with respect to efficient planning of logistics processes, starting from the early stages of product development. This enables better control over logistics costs, as all business functions within the company participate in the process. The results presented here highlight future guidelines for the organisation of logistics processes in the high-tech automotive industry. It was verified by multiple linear regression.
1. Kiisler, A. Logistics in Estonian business companies. Transport. 2008. Vol. 23. No. 4. P. 356-362.
2. Rybakov, D.S. Total cost optimisation model for logistics systems of trading companies. International Journal of Logistics Systems and Management. 2017. Vol. 27. No. 3. P. 318-342.
3. Muha, R. An Overview of the Problematic Issues in Logistics Cost Management. Pomorstvo. 2019. Vol. 33. No. 1. P. 102-109.
4. Škerlič, S. & Muha, R. The importance of systems for controlling logistics costs in the supply chain: a case study from the Slovenian automotive industry. Promet – Traffic & Transportation. 2016. Vol. 28. No. 3. P. 299-310.
5. Škerlič, S. & Sokolovskij, E. A model for managing logistics costs throughout a product’s life cycle: a case study of a multinational manufacturing company. Transport. 2019. Vol. 34. No 5. P. 517-528.
6. Logožar, K. Poslovna logistika: elementi in podsistemi. Ljubljana. GV Izobrazevanje. 2004. [In Slovenian: Business logistics: elements and subsystems. Ljubljana. GV Education].
7. Pajic, V. & Kilibarda, M. Cost of quality in distribution logistics. Proceedings of the 4th Logistics International Conference. Belgrade. Serbia. 2019. P 152-161.
8. Ballou, R.H. Business logistics management. Upper Saddle River. Prentice-Hall. 1999.
9. Stock, J.R. & Lambert, D.M. Strategic Logistics Management. 4th ed. McGraw-Hill: Irwin. 2001.
10. Shang Kuo-Chung. The Effects of Logistics Measurement Capability on Performance. Asia Pacific Management Review. 2004. Vol. 9. No. 4. P. 671-687.
11. Waller, M.A. & Fawcett, S.E. The Total Cost Concept of Logistics: One of Many Fundamental Logistics Concepts Begging for Answers. Journal of Business Logistics. 2012. Vol. 33. No. 1. P. 1-3.
12. Juntunen, J. & Juntunen, M. & Juga, J. Latent classes of service quality, logistics costs and loyalty. International Journal of Logistics Research and Applications. 2015. Vol. 18. No. 5. P. 442-458.
13. Farahani, R.Z. & Asgari, N. & Davarzani, H. Supply Chain and Logistics in National, International and Governmental Environment - Concepts and Models. Physiga-Verlag. Berlin. Germany. 2009.
14. Zekic, Z. & Rupcic, N. & Jakopic, M. Learning Platform for Supply Chain System Optimisation. International Journal of Logistics Systems and Management. 2016. Vol. 23. No. 1. P. 53-75.
15. Richey, G.R. & Roath, A.S. & Whipple, J.M. & Fawcett, S. E. Exploring a Governance Theory of Supply Chain Management: Barriers and Facilitators to Integration. Journal of Business Logistics. 2010. Vol. 31. No. 1. P. 237-256.
16. McCarthy-Byrne, T.M. & Mentzer, J.T. Integrating Supply Chain Infrastructure and Process to Create Joint Value. International Journal of Physical Distribution & Logistics Management. 2011. Vol. 41. No. 2. P. 135-161.
17. Malihi, E. & Aghdasi, M. A Decision Framework for Optimisation of Business Processes Aligned with Business Goals. International Journal of Business Information Systems. 2014. Vol. 15. No. 1. P. 22-42.
18. Popova, V. & Sharpanskykh, A. Formal Modelling of Organisational Goals Based on Performance Indicators. Data and Knowledge Engineering. 2011. Vol. 70. No. 4. P. 335-364.
19. Gromovs, G. & Lammi, M. Blockchain and Internet of Thinghs Require Innovative Approach to Logistics Education. Transport Problems. 2017. Vol. 12 (Special Edition). P. 23-34.
20. Bazaras, D. & Palšaitis, R. Logistics Situation in Lithuania – Changes During 10 Years. Procedia Engineering. 2017. Vol. 187. P. 726-732.
21. Roy, R. & Souchoroukov P. & Shehab, E. Detailed cost estimating in the automotive industry: Data and information requirements. International Journal of Production Economics. 2011. Vol. 133. No. 2. P. 694-707.
22. GIZ ACS, Slovenski avtomobilski grozd. 2019. Available from: http://www.acs-giz.si/o-acs. [In Slovenian: GIZ ACS, Slovenian Automobile Cluster].
23. Hair, J.F. & Black, W.C. & Babin, B.J. & Anderson, R.E. & Tatham, R.L. Multivariate Data Analysis. New Jersey: Pearson University Press. N2006.
24. Nunnaly, J. Psychometric theory. New York: McGraw-Hill. 1978.
25. Waller, M.A. & Fawcett, S. E. The Total Cost Concept of Logistics: One of Many Fundamental Logistics Concepts Begging for Answers. Journal of Business Logistics. 2012. Vol. 33. No. 1. P. 1-3.