Honeywell enhances Refining and Petrochemical solution

By : |April 22, 2014 0

BANGALORE, INDIA: Honeywell today announced a major enhancement to its Refinery and Petrochemical Modeling System (RPMS) that will improve model building and maintenance, case management, and optimization to help plants maximize profitability. The new release, RPMS 500, incorporates analytics software that is based on the company’s innovative Intuition process management to better apply planning results.

RPMS also helps refining and petrochemical firms assess their long-term investment options and understand the critical differences in potential yield and value of various feedstocks, as well as determining the best operating conditions over the planning horizon.

According to Patrick Kelly, product director, Honeywell Process Solutions:”RPMS Release 500 preserves the rich capability of RPMS while making it easier and more efficient to work with. It also makes it simpler to build and maintain refinery planning models, and generate and review production plans. That helps provide information to help operators make the best production decisions. It includes a web-based tool that makes it easier for the broader organization to access and analyze the information.”

Key new features with the RPMS 500 release include support for Windows 7/8 64-bit platforms, as well as tools to simplify migration to the current software version. Other enhancements provide improved case management, a new graphical user interface, HTML-based reporting, and improved optimization capabilities.

These tools are critical to optimizing the overall profitability of refining and petrochemicals operations and RPMS helps to drive and sustain improved profitability by enabling clients to assess more options and align the organization more effectively to the plan. Effective planning is critical to help today’s process industries increase profitability. RPMS helps enable development and analysis of advanced mathematical programming models, utilizing linear programming (LP) optimization to answer key business questions related to raw material purchases, product specifications, plant operation, and distribution and logistics.

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