FACTORS THAT INFLUENCE LOGISTICS DECISIONMAKING IN THESUPPLY CHAIN OF THE AUTOMOTIVE INDUSTRY
Logistics activities are present in different business functions, which is why unified decisionmaking in logistics has a significant effecton the organization of logistics processes in companies. Scientific literature highlights various aspects of logistics decisionmaking, but so...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Silesian University of Technology
2020-09-01
|
| Series: | Transport Problems |
| Subjects: | |
| Online Access: | http://transportproblems.polsl.pl/pl/Archiwum/2020/zeszyt3/2020t15z3_10.pdf |
| Summary: | Logistics activities are present in different business functions, which is why unified decisionmaking in logistics has a significant effecton the organization of logistics processes in companies. Scientific literature highlights various aspects of logistics decisionmaking, but so far, no survey has been conducted that canaccurately illustrate the effectof centralized logistics and the effectof the level of logistics knowledge of employees from other departments on unified decisionmaking in the organization of logistics processes. For this purpose, a statistical analysis was carried out on a sampleof 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.Itwas verified by multiple linear regression. |
|---|---|
| ISSN: | 1896-0596 2300-861X |