DEVELOPMENT OF INTEGRAL METHOD OF ANALYSIS FOR EVALUATION OF KPI IN SUPPLY CHAIN
In this article using the integral method of analysis (IMA) the impact of various factors on the total logistics costs was assessed and future research directions of the application of the IMA were indicated.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
This article reviews the modern approaches to the analysis of conflict situations in a supply chain. Four main areas of conflict analysis are identified and discussed in the paper: mathematical methods, hierarchical analysis, total cost modeling business processes.
The transport-logistics operations performance evaluation methods were observed in this paper: different approaches were critical analyzed and basic reasons of a current situation were found out. One of such reasons is the absence of analysis methods and the quantitative impact evaluation of indicators on the total logistic costs. Also the author's block diagram showing correlation and influence of different operations such as transportation and products storage in supply chains. Moreover, it was given the description of the performance evaluation method of the indicators-factors impact which is based on the integral method of analysis and it was got according calculating correlations. What is more, it was made the approbation of the created methodological method realization.
According to various estimates global GDP is about 60-70 trillion dollars, at the same time the costs of logistics in the world accounts for 12 trillion dollars per year. These figures are comparable to costs associated with armaments, public health service and other important areas of human activity.
Consequently, the search of practical ways and development of effective mechanisms for reducing logistics costs is a major problem, the solving of which will improve efficiency and competitiveness of enterprises. Thus, the purpose of this paper is the development of methods and models for EOQ calculation in supply chains as well as development of matrix of decision-making for the design of new modified EOQ models, designed to optimize logistics costs of companies in supply chains.
One of the main goal of any industrial company is making profit by producing high quality and competitive products. Mostly, the production of meat industry enterprises are not a complete cycle, companies are divided into farms which are specialized in cultivation of livestock and poultry, slaughters and meet processing plants. The latters are the final link in the chain of supply of animal origin raw materials. For these companies it is important to establish a procurement process so that to have a sufficient number of fresh high-quality resources for production and to minimize losses releated with forced sales, often with a discount, the damage of excessive amount of purchased raw materials and also avoid unnecessary costs associated with their storage. This problem will be discussed in this article.
A mathematical model to make strategic decisions on the design of the supply chain of products with high added value of the associated petroleum gas sold in the mathematical programming language AMPL. The model allows to determine the optimal location of production and logistics facilities, mode of transportation and storage, as well as to decide on the building of capacities, choice of market implementation of the final product.