Библиографическое описание:Метод синхронного оперативно-производственного планирования многономенклатурного позаказного производства : научное издание / П. А. Русских, О. В. Дрозд, Д. В. Капулин. - Текст : непосредственный // Информационные технологии. - 2023. - Т.29, №1. - С. 39-46. - ISSN 1684-6400, DOI 10.17587/it.29.39-46.
Аннотация:Рассмотрена проблематика производственного планирования позаказных производств. Предложен метод синхронного оперативно-производственного планирования в условиях многономенклатурного позаказного производства. В рамках данного метода детально рассмотрена процедура формирования оперативно-производственного плана. Рассмотрена техническая реализация комплекса синхронного производственного планирования на базе представленного метода и его информационная интеграция в существующую автоматизированную систему планирования предприятия.
Make-to-order production needs flexibility, quality and synchronicity of planning. Numerous types of products and complex control parameters lead to high requirements for safety, stability and continuity of the production process, as well as strict requirements for instant production management. The need for a high reaction rate to changes in the production system, adaptability and traceability, must be ensured by methods of accurate and reliable control and management of production. The most difficulty is the stage of making a schedule for make-to-order multi-nomenclature productions. Existing systems of scheduling are often not connected in real time with the current production process, all this leads to a high level of unfinished orders. It is necessary to take a new look at the existing planning systems and search for an approach with the possibility of analyzing and optimizing the operational and production plan, taking into account the actual implementation of the provided production process. The research is aimed at developing a synchronous scheduling method suitable for a multi-nomenclature make-to-order production with a variable number of products, and designed to reduce order fulfillment time, reduce inventory and improve work efficiency by adapting to fluctuations in production and product life cycle and implementing an optimal production plan.
