Abstract
”. It is shown that in order to increase the efficiency of the functioning of complete logistical supply chains (CLSC), it is necessary to develop special methodological tools, and, on their basis, software to facilitate decision-making on the timely formation of liquid consignments at the terminal sections of the chain of liquid goods. The article describes a fuzzy network of CLSC in the form of a hierarchical two-level nested Petri net (NPN), the upper level of which reproduces the process of functioning of the focal company as the central element of the CLSC, and each of the components of the lower level of the network model is an elementary Petri net reflecting the logistic processes at the terminal sections of the CLSC production of raw materials and sale of finished products. This article also gives a description of the procedure for creating a fuzzy network model for representing information about business processes that take place during the functioning of the CLSC, taking into account the existing time and resource constraints, in the form of a NPN, which is expanded by introducing fuzzy and temporal statements. Special methods of automated decision- making on the sustainable functioning of CLSCs are described and justified in terms of making a choice on the transport mode and optimal routing. Based on the developed methodological tools, the process of forming and providing the stable functioning of the CLSC for typical food products of the grocery group, namely dried fruits, is considered.
Highlights
In the modern world, the efficiency of business processes at the regional, national and global levels largely depends on the quality of the of logistical systems development
The typical object here is the complete food supply chain (CLCS), which is a complex socio-economic system consisting of a large number of raw material suppliers, a focal company, warehouse terminals, distributors, customs brokers, 3PL and 4PL
For every task zi Z a, which must be performed during the functioning of the CLCS, the execution lag is checked through durzri of the tasks which compose it, the delay max durmax = i ( durzri value is calculated as durmax and determined that will constitute the overall delay within the complete supply chain (CSC)
Summary
The efficiency of business processes at the regional, national and global levels largely depends on the quality of the of logistical systems development. Based on demand forecasting, the tasks of purchasing and distributing within the service network are solved, taking into account the urgency of supplies, the range of supplied raw materials and the distribution of finished products, the seasonality of production and sale of food products, and the level of transport costs in the supply chains. The objective function, which assumes minimization of the total logistical costs of the focal company related to procurement and sales, is: The solution to this problem is the selection of suppliers of raw materials and the volumes of these supplies, as well as the where G : T L - the function which matches every transition t T and some expressions of Boolean logics which reflect the corresponding event; M0 – the function which matches every position of p P the following expression:. - if none of these events occurs for any task, go to step 3
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