The article examines inventory management in warehouse logistics for manufacturers using a systematic approach. It analyses the warehouse's economic role, showing it is more than storage; it supports production, improves service, and impacts logistics costs. The article also distinguishes between independent and dependent demand inventories, outlining their roles in managing recurring, safety, transit, and seasonal stock.The article explains in detail the main functions of inventory management systems: accounting and data collection, planning and forecasting, order fulfilment, operational control, and performance evaluation. It also analyses specific factors affecting inventory levels in warehouse logistics: demand variability, supply time, internal operational capacity, resource constraints, and the quality of information systems.The study uses mass service systems (MSS) and GPSS World (General Purpose Simulation System World) discrete-event simulation as its methodological foundation. By combining GPSS simulation with the analytical MSS approach, the study identifies shortcomings in inventory management systems. This integration optimises inventory levels and improves warehouse logistics efficiency within manufacturing enterprises.
Ismailov et al. (Sat,) studied this question.