Automatic Statistical Inventory Reconciliation for Leak Detection of Petrochemical Storage
This study evaluates software-based business workflow improvement using computerized statistical technique for management of gasoline retailer stations. Petrochemical leakage causes potential losses to the economy, life and environmental. Early detection can minimize the impact. A common technique to detect leakage of fuel tanks in gasoline stations is using systematic record and statistical analysis of the liquid level. However, the routine check using dipstick by station operator and manual analysis of inventory using inventory sheet and calculator are lacking efficiency. Computerized automation can result in continuous analysis and early detection. This study develops and evaluates a computerized system to that performs Statistical Inventory Reconciliation (SIR) on inventory data and presents the calculation of leak possibility, probability and rate. The result shows promising reliability and effectiveness. This study integrates workflow, algorithm, data structure and output visualization in a single framework to minimize human factor and to improve the process. The proposed system framework is non-intrusive to existing operation and can be used as a reference for development of expert systems in liquid inventory management and leak detection.
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Document Type: Research Article
Affiliations: Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, 31750 Bandar Seri Iskandar, Perak, Malaysia
Publication date: November 1, 2017
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