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권휘웅,Thai Ngan Do,Jiyong Kim 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.113 No.-
In this study, a new decision-supporting platform for the overall supply chain management of the petrochemicalindustries was proposed to maximize business profits. The proposed system integrates variousdecision-supporting models that address the critical challenges, both vertically and horizontally. Specifically, horizontal integration includes various decision-based problems along with the productiveflow on the value chain from raw material purchasing and manufacturing to the final product sales, whilevertical integration involves critical decisions at different levels, including the enterprise supply chain,the plant scheduling/planning, and the process operation. The optimization-based decision platformeffectively supports the business’s supply chain management, plant planning, and process operationstrategy. The platform integrates different decision and featuring models, including a price predictionand a paper trading model for reducing the financial risks, a mathematical model of naphtha thermalcracker for identifying the optimal operating, and an optimization model for maximizing business profits. As a result, business profit was improved by 5.30% with only paper trade optimization, 6.67% with optimaloperating conditions combined with price forecasting, and 11.98% with overall supply chain optimization. Thereby, the proposed platform assists decision-makers in determining the timing andquantity of raw material purchases and final product sales, as well as the operation strategies for processfacilities, utilities, and inventory management. This study could be used to aid in the establishment ofannual planning and scheduling as an auxiliary indicator for business operations.
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