The paper presents main trends of logistics and supply chain management education development in Russia and Germany. Russian and German expediencies as well as distinguishing features of the logistics and supply chain management education in both countries are analyzed.
The article illustrates the potential of application of modern statistical instruments to the analysis of logistics problems of Russia. The authors studied theoretical and methodological develop-ments devoted to the problem: structural models, ARIMA-approach, statistical process control as a part of 6σ. Contemporary quantitative methods were used to analyze the warehouse complex of Moscow region. The article is backed by a large number of Russian and foreign sources used, which allows to consider it as sufficiently reasoned and objective.
Authors provide the substantiation of logistic profitability indicator introduction for problem-solving concern the evaluation of logistic system performance, incl. inventory management system.
The article discusses the special class of EOQ models which are relevant to numerous practical applications. The models of this type take into account the vehicle capacity used for goods delivery, as well as the costs of goods warehousing in the form of warehouse slots rent payments. Models also take into account that a current consignment sales revenue partially covers the regular supply purchase costs. This will not only make profit on each reorder interval, but also increase the working capital profitability. These factors, which are not counted in most traditional EOQ models, have a significant impact on the effectiveness of actual supply chains of various types. As applied to parameters of the described EOQ model the article sets out the conditions which would allow the possibility of payment based on revenues of the relevant supply chains, taking into account the working capital. To take into account the various practical approaches to optimizing the systems of the specified type the general and special cases are considered, taking into account the time value of money and without it correspondingly. Defining the conditions mentioned above allows to allocate a specified class of EOQ inventory management models, and also provides the opportunity to implement the optimization procedures for specified types of models considering both the vehicle capacity and the time value of money. The developed models adequacy, as well as the convenience and simplicity of their use for specific supply chains are illustrated by the practical examples and calculations.
Strategic role of logistics services for companies is determined by direct impact on the customer base of the company, both existing customers and potential ones. It should be recognized that there is no consensus on understanding of the logistics services essence among academic community and practices, but it was revealed the common approach to the way of the level of logistics service determination, which brings together representatives of all parties. The paper considers two approaches of customer service decomposition into elements and components, as well, some methods to assess logistics service that can be used in business – environment are provided in the article. On the base of materials reviewed, it is proposed the refined procedure of level of logistics services assessment.
The article is devoted to the analysis of potential ways of logistics interfunctional conflicts resolution by means of organizational departments’ viewpoints coordination. The author reviews possible modes of influencing the preferences of the conflicting parties with the aid of their motivation systems adjustment. The proposed methods provide the opponents’ voluntary choice of a decision that meets organizational system goals.
This article deals with the problem of input data generating for the creation and training of an artificial neural network, which is the basis of the classification module of a dynamic monitoring system of the manufacture performance indexes. The input data that was used to train the neural network was divided into the following categories: real data, generated data for a given distribution, and data obtained using the simulation approach. The simulation model was created using the apparatus of Petri nets. Further, for the data used in the work, classification rules were set, after which the artificial neural network was trained on each data set. At the next step, real data was submitted to the monitoring system, which are previously did not appear in the training and validation of neural networks. The final step of this study was to compare the results of the classification of the described approaches of artificial generation of values of enterprise input parameters with respect to the control data set.
The article considers the situation when a company needs to distribute limited amount of stock to the regional warehouses in its own two-echelon distribution network. The network consists of a single distribution center and several regional facilities which are serving the company’s customers. It is supposed that every warehouse calculates its requirements for the replenishment daily basing on the on-hand inventory, demand forecast, safety stocks and lead-times from the central warehouse. Thus, company’s managers are aware of the consumption rate and inventory level at each regional facility. Demand forecasting and final replenishment planning decisions are centralized. Notion of the “limited stock” refers to such inventory quantity at the central warehouse that is insufficient to satisfy the total volume of all regional warehouses’ requirements for the product. Limited stock situation may have varying length in time. A system of rationing rules or principles should be applied to make a distribution decision in such a situation. These set of rules identify the volume and sequence of the shipments from the central to regional warehouses. So, in this article authors aim to solve the following problems: - to identify factors that affect the choice of a certain set of rationing rules for the limited stock; - to attempt to classify existing rationing principles; - to identify how the business goals affect the choice of the preferred rationing principle; - to create an imitation model and check experimentally which rationing principles are the best for each of the business goal The outcomes gained might be used as a base for the choice of the limited stock rationing principles in companies with own distribution network, and for better tuning of the distribution algorithms in DRP systems or modules.
The article deals with the problems of creating a Common market of transport services and a Single transport space of countries with significant differences: different sizes and structure of economies, the state of transport infrastructure and characteristics of the fleet of vehicles.We study the market of road transport of goods in the dynamics, determined by the transport potential of the countries. Particular attention is paid to the international transport of goods, determined by the balance of exports and imports of road transport services .Road transport is an important segment of the economy of the EAEU, in a number of countries it accounts for up to 90% of the volume of goods transported , it employs millions of people. Therefore,liberalization in the market of road transport services should take place simultaneously with the equalization of the working conditions of transport companies in the countries. It is noted that the absence or incompatibility of statistical data on key market indicators (characteristics of the vehicle fleet, the state of infrastructure) does not allow to monitor the market of road transport services. The expansion and harmonization of statistical reporting will accelerate the integration process in the field of road transport.
Variety of inventory management models known in theory of inventory management. All of them divided into two groups: based on the optimal amount of order and based on the fixed time between adjacent deliveries. Existing models appropriate for the situations with determined demand per day and delivery time while in practice these two key parameters are variables and changes in accordance with certain law of distribution. Also, existing models usually don’t take into account variety of conditions, that exist in practice and effects the performance of supply chain, namely: discounts in dependence with amount of order, shelf life of the product, amount of safety stocks on different levels of SC, penalties for the deficit ant etc. The most interesting condition is the multilevel structure of stocks placement. It requires to take into account existence of not only focus companies inventories but also, for example, raw material and packaging inventories of the manufacturer, inventories of the finished goods at the distributors and inventories of other levels of SC during the optimization of the total logistical costs of the supply chain. Special conditions mentioned above makes the objective of making practically applicable mathematical model for the total logistics costs of the SC optimization extremely hard to solve.
Most known is the EOQ model, which despite its popularity has several crucial implementation conditions: determinate values of demand and length of logistic cycles; safety stock existence on different levels of supply chain and deficit cost are ignored; model considers local optimization – EOQ minimizes total logistics costs of given level of SC.
Formula for the two main inventory management strategies were found: based on the fixed order amount and based on the period between adjacent deliveries.
The strategic doctrine of creation of the Logistic centre presented in article in the Uhlan Udensky transport junction and making up of the integrated transport and logistic system in Republic Buryatia is directed on maintenance of realization of Strategy of social and economic developing of Republic Buryatiya as is innovative technological, transport and communication and tourist and recreation complex of world level. The urgency of development of the strategic doctrine is determined, first of all, by a high urgency of logistics in modern Russia, as strategic factor of maintenance of competitiveness and steady economic growth of the country, and also
necessity of the decision within the limits of realisation of Transport strategy of Russia of commitments of developing of regions of Siberia and the Far East.
The article shows that Supply Chain Management is an active organization and a current mobilization of value chain to raise contracting parties’ competitiveness. The author analyzes three main groups of decisions (stages in strategic supply chain planning): Supply Chain Design (SCD), Supply Chain Planning (SCP), Supply Chain Operations (SCO). A general outline of strategic decisions realization in supply chains based on a successive principle is suggested: understanding a customer and vagueness of a supply chain; understanding supply chain opportunities; achieving strategic conformity. The author determines areas of strategic conformity in two spectrums of a coordinate: an assumed vagueness of demand and “reactivity/effectiveness” balance of supply chains.
The article provides an overview of implementation project of strategic supply chain modeling system at International Coal Company. The detailed analysis of project phases and associated risks is performed. Author provides recommendations regarding minimization of the project implementation risks and optimization of planning business processes.