The inventory control system has a strategic role for the business in managing inventory operations. Management of conventional inventory creates problems in the stock of goods that often runs into vacancies and excess goods at the retail level. This study aims to build inventory control system that can maintain the stability of goods availability at the retail level. The implementation of Vendor Managed Inventory (VMI) method on inventory control system provides transparency of sales data and inventory of goods at retailer level to supplier. Inventory control is performed by calculating safety stock and reorder point of goods based on sales data received by the system. Rule-based reasoning is provided on the system to facilitate the monitoring of inventory status information, thereby helping the process of inventory updates appropriately. Utilization of SMS technology is also considered as a medium of collecting sales data in real-time due to the ease of use. The results of this study indicate that inventory control using VMI ensures the availability of goods ± 70% and can reduce the accumulation of goods ± 30% at the retail level.
Inventory control systems have an important role in supply chain management to control process of production, inventory and distribution of products in accordance with rapidly changing consumer demand. The research aims to develop inventory control system on supply chain that can manage the number of production and supply of products based on variables of consumer demand and lead time. Supply chain inventory control systems are designed using model of supply chain inventory control within the information system framework. Model of inventory control using variable of demand lead time is designed by probability approach. Input to the system are data of demand and lead time sent by retail. The results of research provide theory of supply chain inventory control system with probability approach, especially on developing the theory of probability distribution for combined variables from two random variables of normal distributed. Inventory control system used to determine safety stock and reorder point as the basis for determining the replenishment stock. Furthermore by the system, supply chain management can manage the estimation of production number, and manage inventory and stock number of products in warehouse, supplier and retail in accordance with the consumer demand.Keywords: Inventory control system; Supply chain; Probability approach; Safety stock; Reoder point AbstrakSistem pengendali inventori mempunyai peran penting dalam manajemen supply chain untuk mengendalikan proses produksi, inventori dan distribusi produk sesuai dengan permintaan konsumen yang cepat berubah. Penelitian ini bertujuan untuk mengembangkan sistem pengendali inventori pada supply chain yang dapat mengatur jumlah produksi dan pasokan produk berdasarkan variabel permintaan konsumen dan variabel waktu tunggu. Sistem pengendali inventori supply chain didisain menggunakan model pengendali inventori pada supply chain dalam kerangka sistem informasi. Model pengendali inventori menggunakan variabel permintaan waktu tunggu didesain dengan pendekatan probabilitas. Input untuk sistem adalah data permintaan dan data waktu tunggu yang dikirim oleh ritel. Hasil penelitian ini memberikan teori pada sistem pengendali inventori supply chain dengan pendekatan probabilitas, terutama pada pengembangan teori distribusi probabilitas untuk variabel gabungan dari dua variabel random berdistribusi normal. Sistem pengendali inventori digunakan untuk menentukan stok aman dan titik pemesanan kembali sebagai dasar penentuan pembaharuan stok. Selanjutnya dengan sistem ini, manajemen supply chain dapat menentukan jumlah produksi, dan mengatur alokasi inventori dan stok produk pada gudang, pemasok dan ritel sesuai dengan permintaan konsumen.Kata kunci : Sistem pengendali inventori; Rantai pasokan; Pendekatan probabilitas; Stok aman; Titik pemesanan kembali PendahuluanSaat ini, perkembangan industri pakaian semakin dinamis, dan menghadapi perubahan pasar yang semakin kompleks setiap harinya (Ciarniene dan Vienazindiene, 2014). Industri pakaian dihadapkan pada l...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.