Технологии выбора поставщика
The paper is devoted to a new formal approach to logistics service development optimization in the wholesale business. Logistics service development is required to choose strategic direction of customer service in logistics, to identify key performance indicators of its implementation, and ultimately to make a choice of logistics services package. To solve these problems taking into account the preferences of decision-maker, it is suggested to use the analytic hierarchy process (AHP).
It is a first time that AHP has been employed several times within an optimization model: the approach worked-out consists of two stages. The first stage determines an optimal set of key performance indicators to control the strategic direction of logistics under consideration. The second stage identifies an optimal logistics services package taking into account its impact on the key indicators selected at the first stage.
The approach application is exemplified by a wholesaler that supplies foreign components to domestic manufacturers. Numerical solutions of AHP are shown in the article. The data for calculations are taken from statistical reports of the company at hand.
Known expert methods in terms of possibility of systemic evaluation of technical and economic significance of inventions have been analyzed. The approach to assessing and evaluating feasibility for using inventions in complex technical systems has been proposed. There have been given descriptions and examples of application of the approach based on the method of analytic hierarchy process and representation of technical system in the form of a graph of hierarchical relations of technical and economic parameters of structural components with parameters of system as a whole have been given. The proposed approach allows to determine the effect of elements that implement new technical solutions on integral characteristics of modernized systems, thereby significantly improving the quality of evaluation of inventions.
Mining companies are a special type of production enterprise, being a kind of "starting point" of material flows that pass through supply chains, gradually transforming into production and technical products and consumer goods for end customers. In this connection, the purchased resources refer exclusively to an auxiliary group of materials that are used to support mining processes and administrative and economic activities.
Therefore, the use of the integrated technology Lean Six Sigma (Lean Production + Six Sigma), while providing operational resources and services, should include solutions aimed at reducing activities that do not add value to the raw materials being sold, increase the speed of the processes, a simultaneous increase in the level of logistics services.
The article shows that it is possible to solve these tasks through the centralization of material flows, receiving wholesale discounts on consolidated orders, without increasing the period for providing the demand. In addition, based on the principles of queuing theory, assigning relative priorities to different procurement applications, you can shorten the time to meet the needs of domestic consumers.
As a result of the calculations given in the article, it is shown that with a decrease in the time spent in the queue for the most important applications, the quality of the material and technical supply service improves. Also, when processing orders grouped according to the nomenclature of consumed resources, you can reduce the complexity of processing by reducing the variety of supplies and the number of offers from potential suppliers that need to be analyzed simultaneously.
In this research, which is important for the applications of logistics and supply chain operation, task of choosing a vehicle is considered as the multicriteria optimization problem. On the example of a simplified model of the car choice it is shown that in solving this type of problems by the traditional methods of the multicriteria optimization theory, managers always need to consider the specifics descibed in the paper.