Evaluation of Logistics Operators’ Operating Efficiency When Performing Knowledge-Intensive Types of Work
Z. Khmelnitskaya, M. Ivich, E. Bogdanova
Available Online January 2019.
- https://doi.org/10.2991/sicni-18.2019.88How to use a DOI?
- logistics; logistics services; logistics outsourcing; warehousing; charging; logistic operator
- The Article is dedicated to the assessment of the activity of the logistics operator in the new economy. Using the example of a logistic operator, an assessment was made of the effectiveness of the introduction of modern technologies. A methodical approach to evaluating the performance of logistics operators and the choice of the optimal system of their relationship with the customer is proposed. Clarified terminological apparatus used in solving problems necessary for the implementation of the research objectives. Attention is paid to the evolution of the development of outsourcing in Russia and, in particular, warehouse logistics. The characteristic of a modern logistic operator in Russia is given. The optimization of the cost of its services due to the fact that they to some extent affect the profitability of the logistics service has been considered in details. The authors have developed an economic-mathematical model in which the basic characteristics of the warehouses and the costs of all the work performed are laid. The model allows you to automatically calculate the profitability of customers in general and in terms of operations.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Z. Khmelnitskaya AU - M. Ivich AU - E. Bogdanova PY - 2019/01 DA - 2019/01 TI - Evaluation of Logistics Operators’ Operating Efficiency When Performing Knowledge-Intensive Types of Work BT - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018) PB - Atlantis Press SP - 436 EP - 440 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.88 DO - https://doi.org/10.2991/sicni-18.2019.88 ID - Khmelnitskaya2019/01 ER -