Sustainable Functioning of a Logistic Industrial Park as a Factor of Economic Security of the Region

Makarov, Evgeny; Nikolaeva, Yuliya R.; Shubina, E. A.; Taidaev, Ruslan

doi:10.1007/978-3-319-90835-9_60

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When solving the problem of calculating the economic size of the order (the optimal order size), the costs of acquisition, storage, delivery and losses from the shortage of products are taken into account. According to a number of researchers, this formulation does not contain "hidden" costs and a value that takes into account the interdependence and mutual influence of current and insurance reserves [3].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Order logistics based on collaborative filtering

et al. 2021

View full text Add to dashboard Cite

Modern approaches to the organization and management of logistics operators include issues directly related to the forecasting of the dynamics of the processes of the company under study, as well as the development of recommendations for further functioning in the market of goods and services. Services integrated into the order and delivery logistics system are an integral part of it and accompany the flow processes throughout the supply chain. Nowadays, the complex of information technologies, communications and technological solutions allows implementing the most daring offers of logistics companies. Innovative solutions developed using information technologies develop the complex “design-practical implementation” in logistics systems and form a digital space for managing material flows. The calculation of the forecast values of the indicators that characterize the order requires research from the point of view of taking into account the already known preferences of customers. We are talking about recommendation systems that offer to form a package of services in the delivery and assembly of a batch of orders based on the established preferences of other customers and users of the services. The well-known preferences of customers when accessing logistics services form the basis for developing recommendations that are close to them. The obtained data of forecasts of the state of the system under study should provide an opportunity to develop an individual package of solutions, based on the already known preferences of other users. The key value is the information that is used in this model to build forecasts. The practice of finding solutions in the management of order procedures in logistics is an analysis of the key problems and “problem points” that affect the overall performance indicator, taking into account the geography of transport systems, established trade practice, the characteristics of the markets studied and the location of each, specifically selected company.

show abstract

Section: Methodsmentioning

confidence: 99%

“…These models include: -artificial neural networks [1]; -expert systems based on the use of fuzzy inference algorithms [1]; -statistical models; -models based on the application of game theory, etc. [2][3].…”

Section: Legendmentioning

confidence: 99%

Order logistics based on collaborative filtering

et al. 2021

View full text Add to dashboard Cite

show abstract

Emergy-based ecological efficiency evaluation and optimization method for logistics park

Wang

Zhang²,

Hu³

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

: The rapid development of the economy and the change in transaction mode has promoted the development of logistics parks. How to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has been considered a challenge. Therefore, this paper puts forward an emergy based ecological efficiency evaluation and optimization method for Logistics Park. By constructing the ecological efficiency evaluation model of logistics park, it quantitatively evaluates the ecological efficiency and sustainable development of logistics park, and analyzes the correlation between various factors and ecological efficiency. The application results of H Logistics Park show that fuel oil, information technology, net profit, and waste gas are closely related to the ecological efficiency of logistics park, and the correlation coefficients are 0.8248, -0.6949, 0.8544 and 0.7661 respectively. On this basis, the paper puts forward some suggestions to improve the ecological efficiency of the logistics park. This paper provides theoretical and methodological support for the evaluation and optimization of the ecological efficiency of the logistics park.

show abstract

Sustainable Functioning of a Logistic Industrial Park as a Factor of Economic Security of the Region

Cited by 2 publications

References 3 publications

Order logistics based on collaborative filtering

Order logistics based on collaborative filtering

Emergy-based ecological efficiency evaluation and optimization method for logistics park

Contact Info

Product

Resources

About