Abstract
An information technology has been proposed that aims to resolve the task of planning the fulfillment of orders for manufacturing products at food enterprises under conditions of uncertainty and risk. The information technology is based on combining the ant colony, gray wolves, and genetic algorithms, as well as the constructed mathematical model of the operative execution of orders. The advantages of algorithm combination include the formation of alternative variants of plans and the avoidance of local optima. The proposed mathematical model includes the partial criteria, constraints, as well as an evaluation function, for determining the effectiveness of the compiled plan of order execution. The application of a petal diagram and an additive convolution of partial criteria has been suggested to illustrate the clarity of a variant of order fulfillment. The mathematical model makes it possible for a DM to define any set of partial criteria to take into consideration the patterns of order execution. The information technology ensures rapid reconfiguration of the current plan of order execution in the event of emergencies or the need to urgently fulfill a certain order.
Highlights
The food industry is one of the strategic sectors in many countries
The proposed information technology is based on combining the algorithms of an ant colony, gray wolves and the genetic algorithm and the developed mathematical model, which makes it possible to find an optimal plan that accounts for the criteria chosen at the moment of decision-making
We have constructed a mathematical model to plan the fulfillment of orders taking into consideration the main features of the food industry enterprises
Summary
The food industry is one of the strategic sectors in many countries. Its enterprises’ products are vitally important for people in terms of providing food safety. Under modern competitive conditions, achieving high economic and social indicators is possible only with the use of information technologies that would provide for the monitoring and analysis of external and internal indicators of the enterprise Their development and implementation could enable flexible dynamic management with maximum consideration of external and internal influences and constraints in making operational and strategic decisions. Their application leads to the waste of time resources, which does not meet the need for real-time management All this necessitates the development and construction of the new-generation intelligent information systems that employ heuristic, evolutionary, and multi-agent methods and approaches of intelligent optimization based on modeling the collective intellect of social animals, insects, and other living beings. The field of information technology development based on the modified algorithms and methods is especially important
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