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EN
Information and communications technology (ICT) in the recent times has become a viable strategic policy option adopted by many businesses in order to compete favourably in a competitive and dynamic ICT driven market. This strategic move by business organizations is being hindered by some challenges which has invariably reduced the benefits accruable from ICT deployment for business operations especially in the inventory management. The paper identified challenges facing the use of ICT for inventory management by firms in the Nigerian Brewery industry. Other objectives of the paper are to x-ray how these challenges had impacted on the inventory management in the Nigerian Brewery industry, the effect of these challenges on customers' satisfaction, relationship between these challenges and inventory costs incurred by firms in the industry, and to suggest appropriate solutions. Primary data formed the methodology of the study. It was established during the field survey that challenges facing the use of ICT had impacted negatively on the performance of inventory management in the Nigerian brewery industry during the period under study. It was also revealed that the cost of software was a major challenge in the industry and that the identified challenges had significant effect on customers' satisfaction of the firms in the Nigerian brewery industry.
EN
Inventory optimization is critical in inventory control systems. The complexity of real-world inventory systems results in a challenging optimization problem, too complicated to solve by conventional mathematical programing methods. The aim of this work is to confront: a perpetual inventory system found in the literature and inventory system with PD control and Smith predictor proposed by the authors. To be precise, the two control systems for inventory management are analyzed with different shipping delays and compared. With regard to complexity of the proposed control system, we use a SPEA2 algorithm to solve optimization task for assumed scenario of the market demand. The objective is to minimize the inventory holding cost while avoiding shortages. A discrete-time, dynamic model of inventory system is assumed for the analysis. In order to compare the results of systems, Pareto fronts and signal responses are generated.
PL
W pracy przyjęto dyskretny, stacjonarny, dynamiczny model systemu magazynowego ze stałym w czasie opóźnieniem dostaw. Głównym celem jest przeprowadzenie analizy porównawczej dwóch systemów automatycznego sterowania zamówieniami: ciągłego systemu sterowania magazynem z adaptacyjnym poziomem zamówienia (ang. Perpetual Inventory System with adaptive order level) oraz systemu sterowania magazynem z regulatorem proporcjonalno-różniczkującym oraz predyktorem Smitha z adaptacyjnym poziomem referencyjnym zapasów dla trzech różnych opóźnień dostaw. Optymalne nastawy układów regulacji zostały dobrane za pomocą algorytmu ewolucyjnego dla problemów optymalizacji wielokryterialnej: SPEA2 (ang. Strength Pareto Evolutionary Approach). W symulacji uwzględniono dwa kryteria minimalizacji: koszt utrzymania zapasów (ang. Holding Cost) oraz koszt niedoboru zapasu (ang. Shortage Cost). Wyniki badań symulacyjnych zaprezentowano za pomocą wykresów oraz tabel w środowisku MATLAB/Simulink.
EN
The authors investigate a bottleneck in an inventory system composed of the following subsystems: production, transport, storage, and receiver. In order to obtain a mathematical description of the bottleneck in the system, the authors derive a system of differential equations which is satisfied by the probabilities of the high states of a process controlled by an aggregated product supply process.
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