Inventory Control for a Manufacturing System under Uncertainty: Adaptive Approach

Azarskov, Valerii N.; Zhiteckii, Leonid S.; Solovchuk, Klavdia Yu.; Sushchenko, Olha; Lupoi, Roman O.

doi:10.1016/j.ifacol.2017.08.1762

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…The main objective of internal control in the system of economic security is to timely inform the management personnel about changes in external and internal environment, for further management decisions, allowing to reduce financial losses, timely adapt the enterprise to the changes, preserve and rationally use resources of the enterprise, including Stocks [14][15][16][17]. To achieve this goal it is necessary to solve the following tasks:…”

Section: Introductionmentioning

confidence: 99%

Development of methodological basics of internal control of stocks at the agricultural enterprise

et al. 2021

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Stocks are one of the key factors that ensure consistency and continuity of reproduction. In this regard, internal control of stocks is an essential element of enterprise management of the enterprise. The aim of the article is to improve the methodological support of internal control of stocks. The article establishes the peculiarities of internal control of availability and safety of stocks in the conditions of development of digital economy. In order to improve control procedures, working documents of internal control of availability and safety of Stocks were developed. In the course of the study, the main stages of internal control over the flow and efficiency of the use of Stocks have been considered. In order to comply with the principles of rationality, priority and consistency in the conduct of internal control, it was proposed to use a working document of internal control «Program for internal control of the movement and efficiency of Stock use». To verify the correctness of the assessment of Stocks during their receipt, procurement, purchase it is proposed to use a working document of internal control «Checking the correctness of the estimate of reserves when they arrive”. This document allows you to identify errors in the evaluation of Stocks, the formation of their actual cost, which affects the cost of production and the final financial result. To increase informativeness and sufficiency of working documents at the analysis of movement of stocks we recommend to use working documents of the internal control containing planned (standard) indicators, similar data of the last periods, indicators on an accrual basis since the beginning of the controlled period. Comparing the controlled indicators with planned values it is possible to estimate their fulfillment and to find out the reasons of discrepancies that can appear as a result of thefts, abuses and violations.

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Section: Introductionmentioning

confidence: 99%

Development of methodological basics of internal control of stocks at the agricultural enterprise

et al. 2021

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“…Because the adaptive control method is an effective method to suppress the impact of random events on the system [18][19][20][21][22][23][24][25][26][27][28], some scholars applied the adaptive control method to inventory control to avoid the defects of the classical control methods in inventory control, for example, Aggelogiannaki et al [20] proposed an adaptive MPC configuration to identify and control the production-inventory systems. Foul et al [21] introduced the model reference adaptive control with feedback to track the inventory level.…”

Section: Introductionmentioning

confidence: 99%

“…Aengchuan and Phruksaphanrat [24] compared the inventory control effects of the fuzzy inference system model, artificial neural network model, and adaptive neural fuzzy inference system model. Azarskov et al [25] proposed an adaptive control method to improve the performance of the inventory control system under uncertainty. Based on Kalman filtering, Vladimir and Kenne [26] developed an adaptive control method for the manufacturing systems with incomplete information about demand and inventory.…”

Section: Introductionmentioning

confidence: 99%

“…In the literature mentioned above, only authors in [9,18,23] and [25] investigated the problem of inventory management under uncertainty, and only authors in [9] considered the robustness of inventory system, none of the authors paid enough attention to parameters adjusted online, and all authors for the adaptive control only set the target inventory as a constant. Under uncertain environment, only the robust production-inventory system can maintain its stable operation.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment

Zhang

2020

Complexity

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In order to achieve the actual inventory effectively tracking the target inventory under uncertain environment, this paper investigates an adaptive inventory controller for the production-inventory system. First, an uncertain production-inventory model is constructed, and then, the uncertainty of the production-inventory model is approximated by a fuzzy neural network. Secondly, in terms of the design of adaptive control law, the adaptive inventory controller is developed. Under the adaptive inventory controller, the actual inventory can track the target inventory in real time and the production-inventory system can be robustly stable in uncertain environment. Finally, the results of three simulation experiments show that the proposed adaptive inventory controller can realize both the fast tracking speed and the high tracking accuracy.

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“…The difference between both of the systems is the time of place and order. FTP makes an order when the review period arrives, whereas FOQ makes an order when the Jurnal Teknologi Industri Pertanian 30 (1): 82-89 (2020) DOI: https://doi.org/10.24961/j.tek.ind.pert.2020.30.1.82 ISSN: 0216-3160 EISSN: 2252-3901 Terakreditasi Peringkat 2 Dirjen Penguatan Riset dan Pengembangan No 30/E/KPT/2018 inventory position drops to the order levels (Rahman et al, 2020;Singh et al, 2018) Inventory modeling is the representing ideal process on the real-world inventory system in another form that every time developed based on new evidence and understanding, that contains an essential part of a system or phenomenon to be more understandable, definable, calculable, visualizationable, and simulate-able (Azarskov et al, 2017;Hu et al, 2018;Maiti & Maiti, 2006;Nita et al, 2020;Singh, 2019;Singh et al, 2018) . The model usually includes essential features needed to understand a system or phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Fixed Time Period Modelling for Inventory Control System in Regional Warehousing

2020

j.tek.ind.pert.

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Pengendalian persediaan pada perusahaan mampu mengoptimalkan biaya penggudangan dan tersedianya bahan baku dan produk, sekaligus dengan menjaga terjadinya gangguan tingkat kepuasan pelanggan. Faktanya tidak semua perusahaan dapat menerapkan pengendalian persediaan yang cocok seperti penggunaan metode peramalan yang kurang akurat dengan keterbatasan data. Pada pekerjaan ini formulasi pemodelan peramalan inventory menggunakan fuzzy time series untuk pendekatan fixed-time period dengan safety stock. Model ini bertujuan untuk mendapatkan kapasitas penyimpanan yang paling optimal pada setiap gudang regional. Akurasi peramalan diuji dengan mengukur tingkat kesalahannya menggunakan indikator MAPE. Hasil peramalan digunakan untuk menghitung banyaknya produk yang harus dikirim pada setiap gudang regional per periode. Perhitungan banyaknya boks produk harus diproduksi harus disesuaikan dengan level kapasitas dan jumlah produksi setiap produk. Hasil menunjukan bahwa peramalan yang didapat dari enam produk yang dikirim ke empat daerah masing-masing menghasilkan nilai ramal yang memiliki rentang nilai MAPE minimal sebesar 0,29% dan maksimal sebesar 1,94%. Implementasi formulasi ini dalam kasus dunia nyata mampu untuk meningkatkan aliran data antar stakeholder. Kata kunci: formulasi, pemodelan, pengendalian persediaan, peramalan fuzzy time series, MAPE.

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Inventory Control for a Manufacturing System under Uncertainty: Adaptive Approach

Cited by 13 publications

References 14 publications

Development of methodological basics of internal control of stocks at the agricultural enterprise

Development of methodological basics of internal control of stocks at the agricultural enterprise

Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment

Fixed Time Period Modelling for Inventory Control System in Regional Warehousing

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