The Construction of Integrated Process in the Petroleum Industry by Decision-Making Support System – The Case Study for A Petroleum Company

• Main Authors: Yu-Jeng Houng, 洪裕政
• Other Authors: Houn-Gee Chen
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/73617795609600647164

碩士 === 國立臺灣大學 === 會計與管理決策組 === 98 === The petroleum is an important energy resource and a high-quality material in chemical industry. The petroleum industry is an essential foundation industry for national economy development. It is reported that the petroleum industry is also a finance-concentrated industrial sector which attached with high-risk investment. To mitigate the risks, most of the world''s major petroleum companies have practiced a business model which vertically integrates its industry chain from raw materials to end products. In so doing, an integrated process decision-making support system with global SCM connections, integrated and real time information sharing and control has become the benchmark for the major companies’ daily operation. Such system could transfer the business objectives to ad hoc production objectives/schedule, and then it will also set up a regulative system to ensure feedback analysis (adjustment) and the optimization. This is a periodicity cycle - to plan from the production operation to the production revolution and the programmed control and other high potency capital control of the supply chain of the integrated process decision making support system. This study aims at studying such integrated Decision Support System (DSS) for the petroleum industry. A DSS is proposed by combining the supply chain management system and the business operation information & control. Such system includes the following two major modules: 1) research and development on marketing planning strategy of supply chain ,including produces liquefied petroleum gas, petrol, diesel, naphtha and fuel oil; 2) the automation of the production process to establish the relative database integrated with model systems such as crude oil analysis, process simulation analysis, advanced process control, yield accounting balance. The deployment and benefits of the system are discussed. The further trend is also addressed.