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In this paper, the authors create, justify, and document a system dynamics model of the oil and gas production within the Permian Basin of Texas. Then the researchers show how to fit the model to historical time series data (big data). The authors use the model to better understand the process structure, the production dynamics, and to explore the deleterious consequences of limited pipeline capacity in the Permian Basin. The model is also employed to better understand how to increase revenues derived from the basin. From this model, numerous suggestions are made as to how to improve the overall revenue and profitability coming from the Permian Basin. The model's ultimate purposes and its associated big data are to foster a basic appreciation of the causality inherent in the ‘system' and how basic model parameters affect and influence measures of model performance.

We propose innovations and improvements of curricula for majors in Operations Management (OM) and Information Technology (IT). New methodologies for optimizing curricula for OM and IT consider the latest needs of employee markets served by these two majors. A holistic, learning-centric approach seeks to increase the capacity of OM and IT students to achieve the future they want. Overlooked subject areas for these curricula often include soft skills, change management, systems thinking, and testing, among others. We use the paradigm of the supply chain to suggest how industry engagement can influence OM and IT curricula. Such content could then be expanded over more than just four collegiate years by including OM and IT course content in high school curricula. We suggest a methodology for employer-driven valuation/grading of every potential and actual course in the OM and IT curricula. We take a holistic, systemic view that will help stimulate and pilot new ideas for OM and IT curricula.

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