Development of a modified ant colony algorithm for order scheduling in food processing plants
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Файли
Дата
2022
ORCID
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Анотація
This 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 algorithms
Опис
Ключові слова
order fulfillment planning, modified ant colony algorithm, efficiency of the algorithms, optimization, food industry, кафедра інформаційних технологій, штучного інтелекту і кібербезпеки
Бібліографічний опис
Development 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. 53-61