DELIVERY MANAGEMENT ALGORITHMS AND THEIR APPLICATIONS

optimization problem of product delivery problems in modern business has been investigated.Desition-making problems to manage network sales strategy is solved.The dynamical model of multistage graph has been constructed. The algorithms to find optimal plan of products salsment is performed. The tools applied in this development based on the generalized dynamical programming methods and graph theory applications.Javascript programming language for software implementation is used.

In this article optimization problem of product delivery problems in modern business has been investigated.Desition-making problems to manage network sales strategy is solved.The dynamical model of multistage graph has been constructed. The algorithms to find optimal plan of products salsment is performed. The tools applied in this development based on the generalized dynamical programming methods and graph theory applications.Javascript programming language for software implementation is used.

…………………………………………………………………………………………………….... Introduction:-
One of the important factors in the development of the country is the appearance of special support for businesses and enterprises, which contributes to the production of new products or increase in imports from abroad. Consequently, the number of companies engaged in distribution activities is increasing. Distribution is fundamentally concerned with ensuring that products reach target customers in the most direct and cost efficient manner. The paper aims to help companies optimally redistribute their resources and make maximum profits.
This article is devoted to develop optimization algorithm of sailing workflow of goods to improve delivery operations to the next level with advanced route optimization and powerful analytics in supply chain. Decisions making software of sale management of ordered products with suggestions for best profits routes of deliveries has been performed. Some specific techniques for innovative decisions making in available alternative that can be applied for sales flows of goods in the future has been examined. In general, the decision making process helps managers and other business professionals solve problems by examining alternative choices and deciding on the best route to take. Using a step-by-step approach is an efficient way to make thoughtful, informed decisions that have a positive impact on the organizations short and long terms goals.

Statement Problem
In this section product delivery problems by estimation profits of requirements is considered. Decision making problems on accepting and delivering goods is solved. Graph-creating algorithm to modeling of dynamical process of goods delivering is used. Dynamical programming (DP) approaches to describe of multistage plan of delivery has been investigated. Priority queueing implementation by use stacks-techniques is used.

Introduce the following notations:
(C ij ) nxm -matrix requirements product quantity,(R ij ) nxm -matrix of corresponding benefits (i=1,n;j=1,m), (X ji ) mxn -Boolean matrix,S-total quantity of products, n-number of stages, m-number of projects.

ISSN: 2320-5407
Int. J. Adv. Res. 9(05), 596-601 597 Problem. It is required to manage product delivery process (PDP) in the following conditions: . Let us construct multistage graph of PDP by use the forward method of DP.
The vertices of graph stores the information about quantities of delivering products(Key) with corresponding benefits of current stages. The edges describes networks of delivering. For programing implementationlistAdgsarray to store verteces avalebled from currently node and listParents-arrayto store predict vertices of currently node are used. The pseudocode of initialisation of empty graph is described as follows:

Conclusion:-
In this work optimization problem of sale management of ordered products by the generalized DP approaches to maximize profits of products deliveries has been solved. Decisions making software of optimization management hes been performed. The particular example of stores selection problem within corporate network of delivering process has been discussed. Multistage graph-model to describe of sales with a corresponding profit-probability has been constructed. The algorithms to obtain optimal incomes have been obtained. This investigation has a many advantages: forecasting and analyzing of sales incomes in any time; fluently make decision in the planning stage to select of candidates; monitoring and managing product delivery process; optimize products flow; efficient in terms of time complexity; the results enable to be applied in decision making problems to optimize solution.