Success story for "Stabilization of Process and Improvement of Operation through Process Data Analysis"
/Executive Summary
Mitsubishi Gas Chemical Company (MGC) produces a variety of specialty chemicals from natural gas and petrochemical feedstocks. The company is the first company in Japan to produce methanol and ammonia from natural gas. The company owns and operates oil and natural gas fields in Japan. Based on MGC’s group vision of “Creating the value to share with society,” MGC provides unique products and services based on its proprietary technologies to industrial customers in Asia, North America, Europe, and other markets.
MGC’s Mizushima Plant produces highly original aromatic derivatives from mixed-xylene that have been obtained through the petroleum refining process. These are used widely in products such as plastic containers and perfumes. Improvement activity of safety or operation has proceeded at its Mizushima Plant. At one of them, MGC selects Yokogawa process data analysis solution that has helped to reduce operator workload and stabilize processes.
The Challenges
In a continuous process that is monitored and controlled by a Yokogawa CENTUM VP distributed control system (DCS), aromatic derivatives are produced at the Mizushima Plant. With the aim of maintaining high product quality and production efficiency, operators carefully monitor this process at pre-specified points. Whenever there are fluctuations in this process, operators of the CENTUM VP DCS intervene to make adjustments. For certain reasons that were not fully understood at first, these fluctuations tend to occur more frequently at night against at daytime. To identify the reasons for these fluctuations, MGC turned to Yokogawa for a process data analysis solution.
Please read more details in the Yokogawa web site about the Stabilization of Process and Improvement of Operation through Process Data Analysis.
1. Collaborative Analysis with Customer
A) Analysis to find process fluctuation factors
B) Consideration and execution of countermeasures
C) Results
2. Customer Satisfaction
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