Linear Programming Engineer

Overview

We are seeking a

Linear Programming Engineer

to join the Central Planning & Modeling Division. The division is responsible for optimizing crude allocation and the operations of global manufacturing facilities to maximize revenue, increase profitability, and explore international market opportunities. It also manages the LP gatekeeping for wholly owned refineries and the global MPIMS model, maintaining an integrated planning model for global crude allocation, market exploration, and integration options. Key Responsibilities

Run rigorous simulations to identify deviations from actual conditions. Operate the refinery model after SROP optimization to identify operational opportunities. Define data and processes for maintaining and updating simulations. Develop non-linear equations to reflect operational variables in PIMS AO model. Maintain the accuracy of the hybrid LP model. Collaborate with process engineers to ensure accurate simulation outputs and resolve bottlenecks. Perform back-casting and report monthly on simulation gaps and mitigations. Support stakeholders in creating models for new downstream projects. Assist ASSAY experts in calibrating TBP and cut points to reflect actual column efficiency. Minimum Requirements

Bachelor’s degree in Chemical Engineering or related field; MBA or advanced degree preferred. At least 9 years of experience in consulting or refinery industries, with expertise in rigorous simulation for refinery units. Proficiency in Aspen HYSYS or PETROSIM, with 7+ years of experience. Experience developing simulations for hydrocracking, FCC, DHT, reforming units, and building complete refinery models. Strong knowledge of engineering practices, economic principles, and calculations. Experience with international business and cross-cultural practices. Experience integrating simulation models with ASPEN PIMS. Working Environment

Our high-performing employees are attracted by challenging opportunities and are rewarded accordingly. We work on world-scale projects supported by leading technology and invest heavily in talent development, including extensive training and workforce development programs. Job ID : 15666 Tagged as :

Global Optimizer Dept

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