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Decomposition Approach for Simulation-Based Optimization of Inventory Management Научная публикация

Конференция 22nd International conference "Mathematical Optimization Theory and Operations Research"
02-08 июл. 2023 , Екатеринбург
Сборник Mathematical Optimization Theory and Operations Research: Recent Trends
Сборник, Springer. 2023. 406 c.
Журнал Communications in Computer and Information Science
ISSN: 1865-0929
Вых. Данные Год: 2023, Страницы: 259-273 Страниц : 15 DOI: 10.1007/978-3-031-43257-6_20
Ключевые слова Grey-box optimization · Multiple-choice knapsack problem · Local search
Авторы Yuskov Alexander 1 , Kulachenko I.N. 2 , Melnikov Andrey 2 , Kochetov Yury 2
Организации
1 Novosibirsk State University, Novosibirsk, Russia
2 Sobolev Institute of Mathematics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0019

Реферат: We consider a two-echelon inventory management problem, where customers’ requests for spare parts of different types must be fulf illed within a given service level threshold. The supply system is composed of multiple warehouses in the first echelon, where the customers’ requests are processed, and a single second-echelon warehouse, replenishing stocks of the first-echelon warehouses. Replenishment requests of warehouses are invoked according to inventory policies, which are characterized by one or two numerical parameters and are individual for each warehouse and each spare part type. The goal is to minimize the total storage cost for all warehouses at both echelons. System operation is simulated within a black-box function that computes the request satisfaction rate and inventory holding costs depending on the policy parameters. In the work, we propose a decomposition approach to adjust these parameters for an industrial-sized supply system. Computational experiments for up to 1,000 types of items and 100 warehouses are discussed.
Библиографическая ссылка: Yuskov A. , Kulachenko I.N. , Melnikov A. , Kochetov Y.
Decomposition Approach for Simulation-Based Optimization of Inventory Management
В сборнике Mathematical Optimization Theory and Operations Research: Recent Trends. – Springer., 2023. – Т.1881. – C.259-273. DOI: 10.1007/978-3-031-43257-6_20 Scopus OpenAlex
Даты:
Опубликована в печати: 21 сент. 2023 г.
Опубликована online: 21 сент. 2023 г.
Идентификаторы БД:
Scopus: 2-s2.0-85174627019
OpenAlex: W4386891743
Цитирование в БД:
БД Цитирований
OpenAlex 1
Альметрики: