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THEORETICAL ASPECTS OF THE SYSTEM DECOMPOSITION OF THE LOGISTICS SYSTEM ELEMENTS
Decomposition of the logistics system into the system elements is an important and necessary step in the theoretical studies, the results of which are used in establishing or improving the logistics system in order to increase the efficiency of the company and gain additional competitive advantages by forming unique competences. A systematic approach to defining the elements of the logistics system has been applied. The method of scientific abstraction has been used to reveal the properties of logistics systems which allow identifying the core features of the investigated categories. Implementation of the system decomposition of the logistics system allows identifying its main components and revealing the relationships between its elements. Results of the study confirm that the system decomposition of the logistics system elements includes conditions, properties, features, goals, subjects and objects. The scientific novelty of the research is a systematic approach to defining the elements of the logistics system and their properties (viz. integration, structuration, hierarchy, development, emergentity, goal orientation, synergy, and modeling) through the method of scientific abstraction. System decomposition of the logistics system elements, including the conditions, properties, features, goals, subjects and objects, allows for the unification of terminology and elimination of non-core logistics categories.
Journal Article
Improving forecasts with integrated business planning : from short-term to long-term demand planning enabled by SAP IBP
\"This book provides both a broad overview of the forecasting process, covering technological and human aspects alike, and deep insights into algorithms and platform functionalities in the IBP toolbox required to maximize forecast accuracy. Rich in technical and business explanations, it addresses short-, medium- and long-term forecasting processes using functionalities available in demand planning and demand sensing. There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox. Beyond standard procedures, the book also discusses custom approaches (e.g. new segmentation criteria, new outlier detection and correction methods) and new methods (e.g. the use of Markov chains for forecasting sporadic demands), etc. It subsequently benchmarks common practices using these innovative approaches and discusses the results. As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology. In closing, the book provides several useful tips and tricks that should come in handy during project implementation.\"-- Provided by publisher.
Book
Defining the Number of Mobile Robotic Systems Needed for Reconfiguration of Modular Manufacturing Systems via Simulation
The European vision of the Factory of the Future is based on increasing competition and sustainability by transformation from cost orientation to high-adding value with technical and organisational innovations. One of the expected outcomes is an increase in modularisation, i.e., the reconfigurability of the technical system in manufacturing conditions. Modular manufacturing systems (MMS), will consist of modular platforms (MP) that are capable of rapid rebuilding, and reconfiguration performed by adding or removing a module by Mobile Robotic Systems (MRS). In the conditions of MMS, to make the most efficient use of reconfiguration MRS capacities, it is necessary to know the optimal ratio of these MRS to the number of modular platforms (MP) used in MMS, which does not exist today. This ratio will help industrial companies that are deploying MMS-based solutions to plan the number of MRSs needed to reconfigure deployed systems. As a method of determining this optimal ratio, an experimental approach via simulation was chosen, using data from custom MRS and MP prototypes with testing different layouts of modular platforms with the view of warehouse layout, manufacturing island, manufacturing island power supply, and MRS. Based on the results, it can be determined that the MP-MRS limit ratio is 2:1, where the further increase in MRS has only a minimal impact on the reconfiguration period. With the reduction of MP transferred to one MRS, there is a gradual decrease in the time required for reconfiguration. When the ratio of 1:1 is attained, the time required for reconfiguration lowers, but not as dramatically as in bigger ratios.
Journal Article
Marketing and logistics – two sides of customer/consumer satisfaction
Marketing and logistics are closely linked and represent a single complex that contributes to meeting needs. The marketing component is focused on determining the need itself, so what consumers want, and the logistics component gives an answer to the question of how the consumer will receive the desired product, and with minimal costs, in a convenient place and at the right time. The main tasks that marketing is designed to solve are: a detailed analysis of needs, an analysis of the market situation, the development of products that the consumer currently needs, the development of strategies for behavior in the market, the development of communications. And logistics should ensure the lowest costs for the delivery of goods and determine at what expense and at what stages these costs can be reduced. Thus, the joint integrated use of marketing and logistics will make the process of product distribution more efficient, which will help to receive higher revenues. In this article, the task is to make a study of the places of marketing and logistics in the enterprise management system and the interrelationship between them, analyzing the connections between the elements of the two activities. In the article, 5 conclusions are made, which give an opinion on the joint integration of the two elements in this management system.
Journal Article
Research on Intellectualized Location of Coal Gangue Logistics Nodes Based on Particle Swarm Optimization and Quasi-Newton Algorithm
The optimization of an integrated coal gangue system of mining, dressing, and backfilling in deep underground mining is a multi-objective and complex decision-making process, and the factors such as spatial layout, node location, and transportation equipment need to be considered comprehensively. In order to realize the intellectualized location of the nodes for the logistics and transportation system of underground mining and dressing coal and gangue, this paper establishes the model of the logistics and transportation system of underground mining and dressing coal gangue, and analyzes the key factors of the intellectualized location for the logistics and transportation system of coal and gangue, and the objective function of the node transportation model is deduced. The PSO–QNMs algorithm is proposed for the solution of the objective function, which improves the accuracy and stability of the location selection and effectively avoids the shortcomings of the PSO algorithm with its poor local detailed search ability and the quasi-Newton algorithm with its sensitivity to the initial value. Comparison of the particle swarm and PSO–QNMs algorithm outputs for the specific conditions of the New Julong coal mine, as an example, shows that the PSO–QNMs algorithm reduces the complexity of the calculation, increases the calculation efficiency by eight times, saves 42.8% of the cost value, and improves the efficiency of the node selection of mining–dressing–backfilling systems in a complex underground mining environment. The results confirm that the method has high convergence speed and solution accuracy, and provides a fundamental basis for optimizing the underground coal mine logistics system. Based on the research results, a node siting system for an integrated underground mining, dressing, and backfilling system in coal mines (referred to as MSBPS) was developed.
Journal Article
Create a Traffic Control Information Space in the Logistics Environment
The research describes the competitive environment in the market of transport-logistics services of Kazakhstan. Logistics networks are represented by two transport systems: JSC ‘National Company Kazakhstan Temirzholy’ hereinafter Operator, as well as other railway administrations and access routes of the Customer (LLP ‘KM Tranko). The experience of TRANKO JSC, where marketing systems in the railway services market of Kazakhstan occupy an important place, is of interest. This format of services in the Republic is not common, therefore the services of JSC ‘TRANKO’ are unique and the specifics of these services, including planning and management of the logistics process with a system of response to failures, can be provided only for large business.
Journal Article