Features of Control for Multi-assortment Technological Process

Development of a Modified Ant Colony Algorithm for Order Scheduling in Food Processing Plants

“…For each ant, the transition from node a to node b depends on three components: ant memory, visibility, and virtual pheromone trace. For the second level, a list of operations to be performed emerges [2,3,7,[10][11][12][13][14].…”

“…The formula for updating the number of pheromones on graph edges turns from expression (3) to Formula (5) [2,[11][12][13][14].…”

“…Most technological and production processes in the food industry are difficult to describe quantitatively, which, together with the multi-criteria nature of planning and control tasks, complicates the use of traditional deterministic mathematical methods to make appropriate decisions [2,3]. This necessitates the use of new intelligent methods for solving management problems based on operational information from specialist experts regarding the prioritization of any alternatives in the decision-making process.…”