Development of a modified ant colony algorithm for order scheduling in food processing plants

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dc.contributor.authorKorobiichuk, Igor
dc.contributor.authorHrybkov, Serhii
dc.contributor.authorSeidykh, Olga
dc.contributor.authorOvcharuk, Vladimir
dc.contributor.authorOvcharuk, Andrii
dc.date.accessioned2023-12-04T09:18:59Z
dc.date.available2023-12-04T09:18:59Z
dc.date.issued2022
dc.description.abstractThis developed modified ant colony algorithm includes an additional improvement with local optimization methods, which reduces the time required to find a solution to the problem of optimization of combinatorial order sequence planning in a food enterprise. The planning problem requires consideration of a number of partial criteria, constraints, and an evaluation function to determine the effectiveness of the established version of the order fulfillment plan. The partial criteria used are: terms of storage of raw materials and finished products, possibilities of occurrence and processing of substandard products, terms of manufacturing orders, peculiarities of fulfillment of each individual order, peculiarities of use of technological equipment, expenses for storage and transportation of manufactured products to the end consumer, etc. The solution of such a problem is impossible using traditional methods. The proposed algorithm allows users to build and reconfigure plans, while reducing the time to find the optimum by almost 20% compared to other versions of algorithmsuk_UA
dc.identifier.citationDevelopment of a modified ant colony algorithm for order scheduling in food processing plants / I. Korobiichuk, S. Hrybkov, O. Seidykh, V. Ovcharuk, A. Ovcharuk // Journal of automation, mobile robotics and intelligent systems. – 2022. –Vol. 16 , №1. – Pp. 53-61uk_UA
dc.identifier.urihttps://dspace.nuft.edu.ua/handle/123456789/41686
dc.language.isoenuk_UA
dc.subjectorder fulfillment planninguk_UA
dc.subjectmodified ant colony algorithmuk_UA
dc.subjectefficiency of the algorithmsuk_UA
dc.subjectoptimizationuk_UA
dc.subjectfood industryuk_UA
dc.subjectкафедра інформаційних технологій, штучного інтелекту і кібербезпекиuk_UA
dc.titleDevelopment of a modified ant colony algorithm for order scheduling in food processing plantsuk_UA
dc.typeArticleuk_UA

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