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The purpose of the paper is to present the issues relating to methods of transport and commercial process management and support in logistics. Moreover, it will describe shipping actions in relation to the conflicts in Europe and worldwide. The study follows the work plan described as follows: The first chapter comprises an overview, logistics function, and classification of strategies in a logistics project. The second chapter includes information about the review and selection of methods of logistics project management. The third chapter pertains to the application of solutions restoring an old form of value stream mapping, known as the brown book exercise or the brown paper method. The fourth chapter refers to the aspects and solutions used in logistics project management in the hard times of logistic service market operations. Finally, the fifth chapter specifies the forms of trust management as the methods supporting logistics project management.

The purpose of the paper is to present the issues relating to methods of transport and commercial process management and support in logistics. Moreover, it will describe shipping actions in relation to the conflicts in Europe and worldwide. The study follows the work plan described as follows: The first chapter comprises an overview, logistics function, and classification of strategies in a logistics project. The second chapter includes information about the review and selection of methods of logistics project management. The third chapter pertains to the application of solutions restoring an old form of value stream mapping, known as the brown book exercise or the brown paper method. The fourth chapter refers to the aspects and solutions used in logistics project management in the hard times of logistic service market operations. Finally, the fifth chapter specifies the forms of trust management as the methods supporting logistics project management. [ABSTRACT FROM AUTHOR]

Accurate prediction of renewable energy generation acts as a critical role which not only provides short-term power generation in the future, but also facilitates scheduling and pre-configuration of energy storage systems. More importantly, the power generation prediction is of great significance to the demand response management (DRM) of renewable energy to participate in the electricity spot market. Therefore, DRM helps improve the stability and reliability of renewable energy systems. This paper presents a novel prediction-smoothing based methodology to reduce and eliminate the influence caused by the uncertainty of renewable energy output. Firstly, the Whale Optimization Algorithm (WOA) is combined with Long Short-Term Memory (LSTM) to predict short-term wind power output. Then, the Hampel-Butterworth-SG filtering strategy with outlier regression and specific risk band elimination is introduced. After that, according to the short-term output forecast results, the scheduling and pre-configuration scheme of peak-filling type energy storage is developed. Finally, based on the predicted renewable energy output and electricity price, the dynamic changes of demand response (DR) are calculated based on Logistics function, optimistic response and pessimistic response factors. Through extensive case studies, it is demonstrated that the assessment deviations in different scenarios is less than 5%, which are 0.64% for Scenario 1 and 3.64% for Scenario 2, and no additional penalty is required at this time. In addition, the proposed Demand Response Load Adjustment Rate (DRLAR) help compare the differences between predicted and actual DR, which are DRLAR = 0.03% in Scenario 1 and DRLAR = 0.01% in Scenario 2. Users are able to adjust the DR dynamically according to the electricity price to realize the optimal scheduling of their renewable resources. The proposed methodology creates a special connection between DRM and renewable energy prediction, which provides a reliable reference for future work. [ABSTRACT FROM AUTHOR]

Introduction: The use of seed priming technology to accelerate the germination and seedling emergence of multi-purpose plants such as halophytes (Alhagi) with the ability to produce medicine and forage under environmental stress conditions or use of saline water (such as seawater of Persian Gulf) has received much attention today. Therefore, the present study was conducted to investigate seed priming methods and different salinity levels on germination, seedling emergence, and some growth responses of Alhagi plant. Material and Methods: Two separate split-factorial experiments were conducted based on a randomized complete block design with four replications as a petri dish culture (first experiment) and a pot experiment in the field was performed in the Department of Plant Production and Genetics, Faculty of Agriculture, Shahid Chamran University (Ahwaz, Iran) during 2020-21. In both experiments, different levels of salinity (municipal water source with EC=0.96 dS.m-1, 8 and 16 dS.m-1 using seawater of Persian Gulf) were assigned as the main plot, and different methods of seed priming (non-priming, hydro priming, hormonal priming with 50 ppm gibberellin and hydro priming+hormonal priming with 50 ppm gibberellin) and species (A. maurorum and A. graecorum) were assigned as sub-factors. Results: The results showed the significance of salinity × species × priming interaction on all studied traits. According to the mean comparison results, the highest values of germination percentage, seed vigor index, seedling emergence, plant height, number of branches, total dry matter and stomatal conductance were obtained from a municipal water source with EC=0.96 dS.m-1 and hydro priming+hormonal priming with 50 ppm gibberellin for A. graecorum (29.1, 90.2, 24.0, 32.3, 52.5, 52.1 and 32.4% increase compared to nonpriming and control salinity stress on this species, respectively). The output of the fitted logistic model to seedling emergence percentage showed that this model well explained the relationship between seedling emergence of two Alhagi species in responses to salinity and seed priming (R²adj≥0.98 and RMSE≤3.38). Therefore, in both studied species, the decline in seedling emergence started from the 8 dS/m salinity level. However, at the 16 dS/m salinity level, the slope of increase in seedling emergence percentage was slower per time unit. Conclusion: To cultivate and exploit the saline coastal lands and also to restore the pastures in the country, A. graecorum species under the combined treatment of hydro priming + hormonal priming with 50 ppm gibberellin are recommended in comparison with other treatment levels. [ABSTRACT FROM AUTHOR]

Marine passenger ports are integrated into the transport systems of cities and regions today. If there are sufficient developed mathematical forecasting models in the class of polynomial models, probability series, and a number of others, then the models describing the influence of the external environment on ferry market are not sufficient. The developed scheme of interaction between the participants of the cruise market and the mathematical model of the port as a technical system is presented in this research. The article substantiates new purposes to use the logistic function to assess the external environment. A mathematical model and the derivation of the new basic equation of the logistic function for ferry market are given. Analytical data werecollected on the ports and terminals of the Adriatic Sea and the Baltic Sea,and data were selected of ship calls at the passenger port St. Petersburg “Marine Facade”(2019-2020). The article proposes the consideration of new various proportionality factors thatwill determine the demand for cruise transportation modeling in the short-term forecasting interval. A complete mathematical model is given taking into account the real schedule of the sea passenger port. The logistic function proposed in the article allows us to solve the forecasting problem in a new way in relation to the selection and evaluation of a cruise product. Moreover, it allows us to solve a group of economic problems related to promotion problem for particular cruise product on the market, allows us to evaluate the activity of passengers when they are choosing a cruise product, and allows us to make adjustments to the planned port working schedules and to make timely adjustments. The main advantage of the proposed model is an analytical assessment of the effect of the external environment, both on passenger ports and on ferry and cruise companies.

Marine passenger ports are integrated into the transport systems of cities and regions today. If there are sufficient developed mathematical forecasting models in the class of polynomial models, probability series, and a number of others, then the models describing the influence of the external environment on ferry market are not sufficient. The developed scheme of interaction between the participants of the cruise market and the mathematical model of the port as a technical system is presented in this research. The article substantiates new purposes to use the logistic function to assess the external environment. A mathematical model and the derivation of the new basic equation of the logistic function for ferry market are given. Analytical data were collected on the ports and terminals of the Adriatic Sea and the Baltic Sea, and data were selected of ship calls at the passenger port St. Petersburg "Marine Facade" (2019-2020). The article proposes the consideration of new various proportionality factors that will determine the demand for cruise transportation modeling in the short-term forecasting interval. A complete mathematical model is given taking into account the real schedule of the sea passenger port. The logistic function proposed in the article allows us to solve the forecasting problem in a new way in relation to the selection and evaluation of a cruise product. Moreover, it allows us to solve a group of economic problems related to promotion problem for particular cruise product on the market, allows us to evaluate the activity of passengers when they are choosing a cruise product, and allows us to make adjustments to the planned port working schedules and to make timely adjustments. The main advantage of the proposed model is an analytical assessment of the effect of the external environment, both on passenger ports and on ferry and cruise companies. [ABSTRACT FROM AUTHOR]

This study offers a variogram model approach in addition to many other theoretical models, based on logarithmic and logistical functions. The development of this model was carried out following the CNSD rules and variogram behavior both at the origin and infinity points, for this reliability model then performed on two Wolfcamp and Pre-prosperous family datasets. The results obtained are that both models work relatively well when compared with two theoretical models of variograms, namely Gauss and Exponentials. The Gaussian Variogram model is used to approximate the variogram experimental model for the wolfcamp data where the gaussian model can be approximated using the logarithmic function. For prosperous pre-family data can be used Exponential Variogram model for experimental approach variogram and exponential variogram can be approached using logistics function. The proposed function has two additional parameters, that is, the base uses base 10 (replaces the number e) and the rank uses a flexible number (recommended ρϵ[0, 3]) depending on the data used in the study. The selection of parameters is very important, because each dataset will have different parameters and will not be the same in approaching an experimental variogram. The use of error assessment, RMSE and model selection, AIC is helpful in showing the performance of both functions that are capable of matching even beyond the exponential and gaussian model of work. [ABSTRACT FROM AUTHOR]

Among the traditional determinants, transport infrastructures affect directly and significantly the territorial attractiveness of the foreign direct investment in the host countries. The increasing importance of this new determinant is essentially due to the great causal relationship with several other factors such as the territorial management in the host country. The aim of the present paper is to evaluate the importance of transport infrastructures to develop the territorial attractiveness of the developing countries to the multinational firms through their contribution to developing the territorial management and to enhance the quality of the private investment conditions. To do this, we have used a panel data model for 27 developing countries over the period between 1990 and 2014. The results prove that the transport infrastructures affect positively and significantly the territorial attractiveness by the positive influence on the territorial management. Also, the results indicate that the impact of these infrastructures on the territorial management, subsequently on the FDI attractiveness, becomes more important in presence of a good logistics function.

One of the themes that have been approached more and more within the specialised literature is being represented by economic cycles. The analysis of these is very useful in the long term predictions, in finding solutions for the economic raise and for detecting the economic crisis. At the same time, it is underlined in a lot of scientific and research papers, the importance of the sustainable development in the present and future society. In this paper we intend to bring contributions to the study of the cycles of a sustainable economy and we will analyse it having in mind the purpose of creating the sustainable economy. We will demonstrate the fact that curves that represent graphically all these, are not simple logistics anymore, bi-logistics or multilogistics curves, but curves in plan that are obtained by composing logistics functions with the function of the sustainable development or with the function that shapes the economic component of it mathematically. We will present an interpretation of mathematic models within the frame of the sustainable development. [ABSTRACT FROM AUTHOR]

Distribution centres are becoming more and more relevant for spatial planning, due to their rapidly increasing size and number. There is little literature, however, that provides a generalized analysis of the size and functional attributes of distribution centres, and none that discusses the relationships between these attributes. Our aim is to fill this gap by providing new evidence and analysis to understand this relationship. We make use of an extensive database of 2888 DCs in the Netherlands to develop a new typology of DCs based on the geographical location of DCs, their functional attributes and client sector characteristics. The analysis shows that the context in which medium sized DCs are operating is more heterogeneous than in the case of very large and small size DCs. This study is a first attempt to analyse this relationship between facility size and functions based on a rich and extensive dataset of large population of DCs. The results can serve as input for further quantitative statistical analysis and international comparison. • We present a typology of distribution centres based on a new dataset for the Netherlands. • Large facilities have grown to represent almost half of the Dutch DC floor space. • The typology combines size with sectoral and functional characteristics of DCs. • Combination of characteristics of DCs explain the large variation in their size. [ABSTRACT FROM AUTHOR]